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The rajado seeded Andean bean (Phaseolus vulgaris L.) cultivar BRSMG Realce (striped seed coat) developed by Embrapa expressed a high level of anthracnose resistance, caused by Colletotrichum lindemuthianum, in field and greenhouse screenings. The main goal of this study was to evaluate the inheritance of anthracnose resistance in BRSMG Realce, map the resistance locus or major gene cluster previously named as Co-Realce, identify resistance-related positional genes, and analyze potential markers linked to the resistance allele. F2 plants derived from the cross BRSMG Realce × BRS FC104 (Mesoamerican) and from the cross BRSMG Realce × BRS Notável (Mesoamerican) were inoculated with the C. lindemuthianum races 475 and 81, respectively. The BRSMG Realce × BRS FC104 F2 population was also genotyped using the DArTseq technology. Crosses between BRSMG Realce and BAT 93 (Mesoamerican) were also conducted and resulting F2 plants were inoculated with the C. lindemuthianum races 65 and 1609, individually. The results shown that anthracnose resistance in BRSMG Realce is controlled by a single locus with complete dominance. A genetic map including 1,118 SNP markers was built and shown 78% of the markers mapped at a distances less than 5.0 cM, with a total genetic length of 4,473.4 cM. A major locus (Co-Realce) explaining 54.6% of the phenotypic variation of symptoms caused by the race 475 was identified in Pv04, flanked by the markers snp1327 and snp12782 and 4.48 cM apart each other. These SNPs are useful for marker-assisted selection, due to an estimated selection efficiency of 99.2%. The identified resistance allele segregates independently of the resistance allele Co-33 (Pv04) present in BAT 93. The mapped genomic region with 704,867 bp comprising 63 putative genes, 44 of which were related to the pathogen-host interaction. Based on all these results and evidence, anthracnose resistance in BRSMG Realce should be considered as monogenic, useful for breeding purpose. It is proposed that locus Co-Realce is unique and be provisionally designated as CoPv04R until be officially nominated in accordance with the rules established by the Bean Improvement Cooperative Genetics Committee.

Introduction Clozapine (CLZ) is the gold standard drug for treatment-refractory schizophrenia (TRS). However, approximately 30% of patients partially respond to CLZ, defining this subset with super refractory schizophrenia (SRS). Alterations in enzyme activity may affect CLZ responses; the CYP3A4, CYP1A2 and CYP2C19 genes are primarily responsible for CLZ metabolism. Objective The aim of this study was to assess if CYP2C19 variants were associated with TRS or SRS. Methods CYP2C19*2 loss-of-function and CYP2C19*17 gain-of-function polymorphism genotype testing were performed in 108 individuals undergoing pharmacological treatment for TRS or SRS. DNA was extracted and polymorphisms were analyzed by polymerase chain reaction (PCR) and sequencing. Results CYP2C19*17 had positive correlations with SRS and lower Brief Psychiatric Rating Scale (BPRS) scores for TRS. In addition, CYP2C19*2 was associated with lower CLZ dosages for TRS. Conclusion These results show that CYP2C19*2 and CYP2C19*17 polymorphisms influence CLZ responses during schizophrenia treatment.

The objective of this work was to identify the quantitative trait loci (QTLs) associated with grain yield in a rice segregant population (GYP). A population of 245 inbred recombinant rice lines from the 'Epagri 108' (Oryza sativa subsp. indica) x 'IRAT 122' (O. sativa subsp. japonica) cross was evaluated at different locations and years and genotyped by single nucletide polymorphism (SNP) markers. A map of 1,592.8 cM was obtained from 9,831 SNPs, identifying 25 QTLs. The following nine SNPs showed stability between the different environments: M1.37719614 and M6.9563117 for GYP; M4.29340056, M5.25588710, M7.29115624, and M12.4534450 for 100-grain weight (HGW); and M1.38398157, M4.28368337, and M7.25991230 for plant height (PH). Six SNPs were not present in the linkage blocks: M6.9563117 and M4.1077080 for GYP; M5.25588710 and M6.8886398 for HGW; and M2.34471005 and M8.5955948 for PH. The M6.9563117 and M5.25588710 SNPs were considered environmentally stable and were not present in the linkage blocks, showing their high potential for use in marker-assisted selection for grain yield in Brazilian rice breeding programs.

The implementation of molecular tools that help the early selection of genotypes carrying target alleles increases efficiency and reduces the time and costs of breeding programs. The present study aimed the molecular characterization and validation of SNPs targeting disease resistance alleles for assisted selection. A total of 376 common bean lines with contrasting responses for anthracnose and angular leaf spot resistance were used, as well as 149 F2 plants from the cross between BRS Cometa x SEL 1308 (carrying the Anthracnose resistance gene Co-42). Seven of the ten SNP markers evaluated showed potential for assisted breeding: snpPV0025 (Phg-2), snpPV0027 (Phg-5), snpPV0079 (Phg-5), snpPV0046 (Co-u), snpPV0068 (Co-42), snpPV0070 (Co-42) and snpP8282v3-817 (Co-42). Markers snpPV0070 and snpP8282v3-817 showed high efficiency of selection (99.7 and 99.8%, respectively). These markers exhibit great potential to assist in the selection at different stages of the breeding program and may be readily incorporated into marker-assisted selection.

Upland rice is cultivated mostly in Latin America and Africa by small farmers and in areas with risk of dry spells. This study evaluated morphophysiological mechanisms of upland rice associated to drought adaptation. A set of 25 upland rice genotypes were grown in a plant phenotyping platform during 2015 and 2017 under regular irrigation and water restriction. We evaluated morphophysiological traits in shoots (vegetative structures growth, gas exchange, water use efficiency, carboxylation efficiency, water status) and roots (length, surface area, volume and diameter), as well as agronomic traits (grain yield and its components). There was a reduction in grain yield by up to 54 % and 58 % in 2015 and 2017, respectively, under water deficit. Five upland rice genotypes with the best yield performances in both water treatments applied were recommended to the upland rice-breeding program: Bico Ganga, BRS Esmeralda, BRSMG Curinga, Guarani, and Rabo de Burro. In this study, morphophysiological traits associated to drought tolerance concerned the plant high capacity to save water in the leaves, low leaf water potential, high ability to reduce vegetative structures, high water use efficiency, high photosynthetic capacity, and improved capacity to absorb water from drying soil, either by osmotic adjustment or additional investment into the root system. Therefore, we concluded that different secondary traits contributed to drought tolerance and should be evaluated along with grain yield to improve efficiency of breeding selection. Made available in DSpace on 2020-11-10T09:17:25Z (GMT). No. of bitstreams: 1 SciAgric-2021.pdf: 1083892 bytes, checksum: 229f86b1cca0d54b92dab1a2f7b69135 (MD5) Previous issue date: 2021

Drought stress is an important abiotic factor limiting common bean yield, with great impact on the production worldwide. Understanding the genetic basis regulating beans? yield and seed weight (SW) is a fundamental prerequisite for the development of superior cultivars. The main objectives of this work were to conduct genome-wide marker discovery by genotyping a Mesoamerican panel of common bean germplasm, containing cultivated and landrace accessions of broad origin, followed by the identification of genomic regions associated with productivity under two water regimes using different genome-wide association study (GWAS) approaches. A total of 11,870 markers were genotyped for the 339 genotypes, of which 3,213 were SilicoDArT and 8,657 SNPs derived from DArT and CaptureSeq. The estimated linkage disequilibrium extension, corrected for structure and relatedness (r2sv), was 98.63 and 124.18 kb for landraces and breeding lines, respectively. Germplasm was structured into landraces and lines/cultivars. We carried out GWASs for 100-SW and yield in field environments with and without water stress for 3 consecutive years, using single-, segment-, and gene-based models. Higher number of associations at high stringency was identified for the SW trait under irrigation, totaling ~185 QTLs for both single- and segment-based, whereas gene-based GWASs showed ~220 genomic regions containing ~650 genes. For SW under drought, 18 QTLs were identified for single- and segment-based and 35 genes by gene-based GWASs. For yield, under irrigation, 25 associations were identified, whereas under drought the total was 10 using both approaches. In addition to the consistent associations detected across experiments, these GWAS approaches provided important complementary QTL information (~221 QTLs; 650 genes; r2 from 0.01% to 32%). Several QTLs were mined within or near candidate genes playing significant role in productivity, providing better understanding of the genetic mechanisms underlying these traits and making available molecular tools to be used in marker-assisted breeding. The findings also allowed the identification of genetic material (germplasm) with better yield performance under drought, promising to a common bean breeding program. Finally, the availability of this highly diverse Mesoamerican panel is of great scientific value for the analysis of any relevant traits in common bean. Made available in DSpace on 2022-02-25T12:00:33Z (GMT). No. of bitstreams: 1 fps.pdf: 15352840 bytes, checksum: 6856daf8d9b080ef95fa0f0ec74fb532 (MD5) Previous issue date: 2020

Cowpea [Vigna unguiculata (L.) Walp.] is one of the most tolerant legume crops to drought and salt stresses. WRKY transcription factor (TF) family members stand out among plant transcriptional regulators related to abiotic stress tolerance. However, little information is currently available on the expression of the cowpea WRKY gene family (VuWRKY) in response to water deficit. Thus, we analyzed genomic and transcriptomic data from cowpea to identify VuWRKY members and characterize their structure and transcriptional response under root dehydration stress. Ninety-two complete VuWRKY genes were found in the cowpea genome based on their domain characteristics. They were clustered into three groups: I (15 members), II (58), and III (16), while three genes were unclassified. Domain analysis of the encoded proteins identified four major variants of the conserved heptapeptide motif WRKYGQK. In silico analysis of VuWRKY gene promoters identified eight candidate binding motifs of cis-regulatory elements, regulated mainly by six TF families associated with abiotic stress responses. Ninety-seven VuWRKY modulated splicing variants associated with 55 VuWRKY genes were identified via RNA-Seq analysis available at the Cowpea Genomics Consortium (CpGC) database. qPCR analyses showed that 22 genes are induced under root dehydration, with VuWRKY18, 21, and 75 exhibiting the most significant induction levels. Given their central role in activating signal transduction cascades in abiotic stress response, the data provide a foundation for the targeted modification of specific VuWRKY family members to improve drought tolerance in this important climate-resilient legume in the developing world and beyond.

Rice has extensive collections of germplasm, but a small fraction of genotypes are used in breeding programs worldwide. This aimed to assess the heterosis and the combining ability for higher grain yield and earliness, and their correlations to genetic distance among accessions belonging to the Embrapa ́s Rice Core Collection. Crosses were made in complete diallel, without the reciprocals, being phenotyped in generations F2 and F7 for grain yield (GY) and days to flowering (DTF). It were estimated the varietal effect, mean heterosis, varietal heterosis, specific combining abilityand general combining ability (GCA) of the parents in each generation. For the selection of new lines, the combinations involving the genitors with the highest magnitudes and positive effects for GCA were considered more promising for the GY, of which Canela Curta, Maninjau, Epagri 108 and Diamante stood out, and were also the most productive. For the DTF, the genitors with the largest earliness estimates were Araguaia, CT11632, Irat 122, Pratinha Branco and Tox 503. The recommended parameters for estimating GY in F7 generation from the data of the F2 generation were the mean of GY, GCA and the mean Rogers-W genetic distance coefficient. Crosses with Rogers-W distance coefficients above 0.9 showed higher GY and earliness in F7 generation, whereas in F2 the superior crosses were those that showed Rogers-W between 0.7 and 0.89. The above genotypes and the specific combinations identified may lead to new rice cultivars. Made available in DSpace on 2021-03-01T16:01:30Z (GMT). No. of bitstreams: 1 fpbj-2019.pdf: 636966 bytes, checksum: ae44eface09b14a8ad20d7f3d594327c (MD5) Previous issue date: 2019

The objective of this work was to identify and validate single-nucleotide polymorphism (SNP) markers related to grain yield in rice (Oryza sativa) core collection. The genome-wide association studies (GWAS) methodology was applied for genotyping of 541 rice accessions by 167,470 SNPs. The grain yield of these accessions was estimated through the joint analysis of nine field experiments carried out in six Brazilian states. Fifteen SNPs were significantly associated with grain yield, and out of the ten SNPs converted to TaqMan assays, four discriminated the most productive accessions. These markers were used for the screening of rice accessions with favorable alleles. The selected accessions were, then, evaluated in field experiments in target environments, in order to select the most productive ones. This screening reduces the number of accessions evaluated experimentally, making it possible to prioritize those with higher productive potential, which allows of the increase of the number of replicates and, consequently, of the experimental accuracy. Resumo: O objetivo deste trabalho foi identificar e validar marcadores de polimorfismo de nucleotídeo único (SNP) relacionados à produtividade de grãos em coleção nuclear de arroz (Oryza sativa). A metodologia de estudos de associação genômica ampla (GWAS) foi aplicada à genotipagem de 541 genótipos por 167.470 SNPs. A produtividade de grãos desses acessos foi estimada por meio da análise conjunta de nove experimentos de campo, realizados em seis estados brasileiros. Quinze SNPs foram significativamente associados à produtividade de grãos e, dos dez SNPs que foram convertidos em ensaios TaqMan, quatro discriminaram os acessos com maior produtividade. Esses marcadores foram utilizados para identificar aceessos de arroz com os alelos favoráveis. Em seguida, os acessos selecionados foram avaliados em experimentos de campo, em ambientes-alvo, para identificar os mais produtivos. Essa triagem reduz o número de acessos avaliados experimentalmente, pois torna possível priorizar aqueles com maior potencial produtivo, o que permite aumentar o número de repetições e, consequentemente, a precisão experimental.

In the Brazilian wet and dry seasons, common beans (Phaseolus vulgaris L.) are grown under rainfed conditions with unexpected episodes of drought and high temperatures. The objective of this study was to evaluate the physiological mechanisms associated with drought adaptation traits in landraces and line/cultivars of beans from the Andean and Mesoamerican gene pools. Twenty-five genotypes, contrasting in terms of drought tolerance, were evaluated in a phenotyping platform under irrigated and rainfed conditions. Agronomic and physiological parameters such as grain yield, shoot structures, gas exchange, water potential, and osmotic adjustment were evaluated. The stress intensity was estimated to be 0.57, and the grain yield reduction ranged from 22 to 89%. Seven accessions, representative of the Andean and Mesoamerican germplasm (CF 200012, CF 240056, CF 250002, CF 900004, CNF 4497, CNF 7382, and SEA 5), presented superior performance in grain yield with and without stresses. The physiological responses under abiotic stresses were highly variable among the genotypes, and two Mesoamerican accessions (CF 200012 and SEA 5) showed more favorable adaptive responses. As the main secondary physiological traits, gas exchange and osmotic adjustment should be evaluated together with the grain yield to increase the selection efficiency of abiotic stresses-tolerant common bean lines.

The availability of high-density molecular markers in common bean has allowed to explore the genetic basis of important complex agronomic traits with increased resolution. Genome-Wide Association Studies (GWAS) and Regional Heritability Mapping (RHM) are two analytical approaches for the detection of genetic variants. We carried out GWAS and RHM for plant architecture, lodging and productivity across two important growing environments in Brazil in a germplasm of 188 common bean varieties using DArTseq genotyping strategies. The coefficient of determination of G × E interaction (c2int) was equal to 17, 21 and 41%, respectively for the traits architecture, lodging, and productivity. Trait heritabilities were estimated at 0.81 (architecture), 0.79 (lodging) and 0.43 (productivity), and total genomic heritability accounted for large proportions (72% to ≈100%) of trait heritability. At the same probability threshold, three marker–trait associations were detected using GWAS, while RHM detected eight QTL encompassing 145 markers along five chromosomes. The proportion of genomic heritability explained by RHM was considerably higher (35.48 to 58.02) than that explained by GWAS (28.39 to 30.37). In general, RHM accounted for larger fractions of the additive genetic variance being captured by markers effects inside the defined regions. Nevertheless, a considerable proportion of the heritability is still missing (∼42% to ∼64%), probably due to LD between markers and genes and/or rare allele variants not sampled. RHM in autogamous species had the potential to identify larger-effect QTL combining allelic variants that could be effectively incorporated into whole-genome prediction models and tracked through breeding generations using marker-assisted selection.

Bean golden mosaic virus (BGMV) causes the main common bean (Phaseolus vulgaris L.) viral disease in Brazil, causing yield losses of 40 to 100%. Effective resistance to BGMV has not been identified in common bean lines tested in Brazil. Therefore, Embrapa used a transgenic approach to develop effective resistance to BGMV (event Embrapa 5.1), using RNA interference and plant transformation through the biolistic method. In the present work, we evaluate the agronomic performance and yield stability of 10 transgenic BGMV-resistant common bean elite lines from the carioca market class in 31 field trials conducted in Brazil from 2012 to 2014 to identify superior line suitable for release as a new cultivar. The results showed that the presence of the transgene did not cause any loss in yield and conferred greater yield stability in the transgenic elite lines because of the resistance to BGMV. The first commercial product developed with the BGMV resistance was selected, the line CNFCT 16205 (cv. BRS FC401 RMD), which is also the first genetically modified common bean cultivar developed in the world. The line exhibited high yield potential and stability, standard commercial seeds, a normal growing cycle (85–94 d), and effective resistance to BGMV. In addition, it has moderate resistance to anthracnose. However, it is susceptible to Cowpea mild mottle virus (CPMMV). BRS FC401 RMD can contribute to the sustainability of the common bean crop in Brazilian agriculture sector, and to the stability in the supply and price of common bean in the domestic market.

EnglishWe aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits “stay-green” (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean through Bayesian models. These models were compared in terms of prediction accuracy and ability for heritability estimation for each one of the mentioned traits. A total of 80 cultivars were genotyped for 377 SNP markers, whose effects were estimated by five different Bayesian models: Bayes A (BA), B (BB), C (BC), LASSO (BL) e Ridge regression (BRR). Although, prediction accuracies calculated by means of cross-validation have been similar within each trait, the BB model stood out for the trait SG, whereas the BRR was indicated for the remaining traits. The heritability estimates for the traits SG, PA, GA and GY were 0.61, 0.28, 0.32 and 0.29, respectively. In summary, the Bayesian methods applied here were effective and ease to be implemented. The used SNP markers can help in the early selection of promising genotypes, since incorporating genomic information increase the prediction accuracy of the estimated genetic merit. Key words: Phaseolus vulgaris; SNP markers; cross-validation portuguesObjetivou-se incorporar informacoes genomicas de marcadores SNP (“single nucleotide polymorphism”) na avaliacao genetica das caracteristicas “stay-green” (SG), arquitetura de planta (AP), aspecto de graos (AG) e produtividade de graos (PG) em feijoeiro-comum via modelos Bayesianos. Estes modelos foram comparados quanto a acuracia de predicao e habilidade de estimacao da herdabilidade para cada caracteristica. Utilizaram-se informacoes de 80 cultivares genotipadas para 377 marcadores SNP, cujos efeitos de substituicao alelica foram estimados por meio de cinco diferentes modelos Bayesianos: Bayes A (BA), B (BB), C (BC), LASSO (BL) e regressao “ridge” (BRR). Embora as acuracias de predicao calculadas por meio de analise de validacao cruzada tenham sido similares dentro de cada caracteristica, o modelo BB se destacou para a caracteristica SG, enquanto o modelo BRR foi indicado para as demais. As herdabilidades estimadas para SG, AP, AG e PG foram, respectivamente, 0,61, 0,28, 0,32 e 0,29. Em resumo, os metodos contemplados mostraram-se efetivos e de facil implementacao. O conjunto de marcadores utilizado pode auxiliar na selecao precoce de genotipos promissores, uma vez que a incorporacao de informacoes genomicas aumenta a acuracia de predicao do merito genetico estimado. Palavras-chave: Phaseolus vulgaris; marcadores SNP; validacao cruzada

Breeding for water-deficit tolerance is fundamental to guarantee the sustainability of upland rice production, mainly due to the possibility of an increased frequency of drought episodes due to climate change. This work aimed to identify single nucleotide polymorphism (SNP) markers, derived from RNA sequencing (RNA-Seq), genome-wide association study (GWAS) and candidate genes from Arabidopsis, with potential for use in marker-assisted selection (MAS) for drought tolerance. RNA-Seq and GWAS were efficient in identifying useful SNP markers from the data obtained from three years of field experiments for 175 upland rice accessions, which were sequenced using 32 genes by Capture-Seq. Three genes were equally able to generate SNP markers that discriminated 95% of the 20 most drought susceptible accessions in the joint analysis of the experiments. The elimination of the genotypes with the unfavourable SNP allele reduced the initial number of accessions to one third, and transferring this result in a breeding routine, would enable to conduct smaller experiments per target location, increasing the precision and reducing the cost of the drought phenotyping. Made available in DSpace on 2018-03-10T00:34:10Z (GMT). No. of bitstreams: 1 CNPAF2018gmr.pdf: 333924 bytes, checksum: 202e7a3c0bca406bccdf93cad82d91f8 (MD5) Previous issue date: 2018-03-08

Introduction Clozapine (CLZ) is the gold standard drug for treatment-refractory schizophrenia (TRS). However, approximately 30% of patients partially respond to CLZ, defining this subset with super refractory schizophrenia (SRS). Alterations in enzyme activity may affect CLZ responses; the CYP3A4, CYP1A2 and CYP2C19 genes are primarily responsible for CLZ metabolism. Objective The aim of this study was to assess if CYP2C19 variants were associated with TRS or SRS. Methods CYP2C19*2 loss-of-function and CYP2C19*17 gain-of-function polymorphism genotype testing were performed in 108 individuals undergoing pharmacological treatment for TRS or SRS. DNA was extracted and polymorphisms were analyzed by polymerase chain reaction (PCR) and sequencing. Results CYP2C19*17 had positive correlations with SRS and lower Brief Psychiatric Rating Scale (BPRS) scores for TRS. In addition, CYP2C19*2 was associated with lower CLZ dosages for TRS. Conclusion These results show that CYP2C19*2 and CYP2C19*17 polymorphisms influence CLZ responses during schizophrenia treatment.

This paper proposes the construction of a genetic linkage map with 376 recombinant inbred lines (RILs) derived from a cross between Mesoamerican × Andean common bean (Phaseolus vulgaris L) parents based on single nucleotide polymorphism (SNP) markers; and to detect quantitative trait loci (QTLs) associated with seven morpho-agronomic traits: number of days to flowering (DF), number of days to maturity (DM) or crop cycle; plant architecture (ARC); seed yield (YLD); degree of seed flatness (SF); seed shape (SS); and 100-seed weight (SW). A total of 3060 polymorphic SNP markers were used and 2041 segregated at a 1:1 ratio in the RIL population, as expected. These markers were subjected to linkage analysis in each chromosome. The genetic linkage analysis resulted in linkage maps with a total of 1962 markers spanning 1079.21 cM. A total of 29 QTLs associated with seven morpho-agronomic traits were detected on the 11 chromosomes, which explained between 3.83 and 32.92% of the phenotypic variation in DF. A total of 18 candidate genes associated with the detected QTLs were identified and related with biological processes, molecular functions and cellular components.

The common bean is characterized by high sensitivity to drought and low productivity. Breeding for drought resistance in this species involves genes of different genetic groups. In this work, we used a SEA 5 x AND 277 cross to map quantitative trait loci associated with drought tolerance in order to assess the factors that determine the magnitude of drought response in common beans. A total of 438 polymorphic markers were used to genotype the F8 mapping population. Phenotyping was done in two greenhouses, one used to simulate drought and the other to simulate irrigated conditions. Fourteen traits associated with drought tolerance were measured to identify the quantitative trait loci (QTLs). The map was constructed with 331 markers that covered all 11 chromosomes and had a total length of 1515 cM. Twenty-two QTLs were discovered for chlorophyll, leaf and stem fresh biomass, leaf biomass dry weight, leaf temperature, number of pods per plant, number of seeds per plant, seed weight, days to flowering, dry pod weight and total yield under well-watered and drought (stress) conditions. All the QTLs detected under drought conditions showed positive effects of the SEA 5 allele. This study provides a better understanding of the genetic inheritance of drought tolerance in common bean. Made available in DSpace on 2017-12-04T23:17:23Z (GMT). No. of bitstreams: 1 CNPAF2017gm.pdf: 1951704 bytes, checksum: c709e665fcda309878e5db6cb226845d (MD5) Previous issue date: 2017-10-27

An RNA extraction method with high integrity and purity as well as the selection of adequate reference genes are prerequisites for gene expression analysis. For common bean seeds, there is no well-defined protocol that can be used in a laboratory routine for gene expression analysis. In this study, an extraction protocol for RNA from common bean seeds, which produced material with good integrity for qPCR (RIN ≥ 6.5), was optimized. In addition, 10 reference genes were evaluated under qPCR standard conditions using different tissue samples of common beans. Gene stabilities were analyzed using the delta-CT method, Bestkeeper, NormFinder and geNorm approaches. The genes β-tubulin and T197 were ranked as the most stable among the sample sets evaluated with different tissue samples, while PvAct and Pv18S were the least stable. To our knowledge, this is the first study evaluating RNA isolation methods and reference gene selection for seeds of Phaseolus vulgaris. Made available in DSpace on 2017-09-27T10:32:00Z (GMT). No. of bitstreams: 1 CNPAF2017cbab.pdf: 460872 bytes, checksum: b7233be3c24ab77be0d94d7156f8aac4 (MD5) Previous issue date: 2017-09-26

Rendón-Anaya, Martha et. al., [Background] Modern civilization depends on only a few plant species for its nourishment. These crops were derived via several thousands of years of human selection that transformed wild ancestors into high-yielding domesticated descendants. Among cultivated plants, common bean (Phaseolus vulgaris L.) is the most important grain legume. Yet, our understanding of the origins and concurrent shaping of the genome of this crop plant is limited., [Results] We sequenced the genomes of 29 accessions representing 12 Phaseolus species. Single nucleotide polymorphism-based phylogenomic analyses, using both the nuclear and chloroplast genomes, allowed us to detect a speciation event, a finding further supported by metabolite profiling. In addition, we identified ~1200 protein coding genes (PCGs) and ~100 long non-coding RNAs with domestication-associated haplotypes. Finally, we describe asymmetric introgression events occurring among common bean subpopulations in Mesoamerica and across hemispheres., [Conclusions] We uncover an unpredicted speciation event in the tropical Andes that gave rise to a sibling species, formerly considered the “wild ancestor” of P. vulgaris, which diverged before the split of the Mesoamerican and Andean P. vulgaris gene pools. Further, we identify haplotypes strongly associated with genes underlying the emergence of domestication traits. Our findings also reveal the capacity of a predominantly autogamous plant to outcross and fix loci from different populations, even from distant species, which led to the acquisition by domesticated beans of adaptive traits from wild relatives. The occurrence of such adaptive introgressions should be exploited to accelerate breeding programs in the near future., This work was supported by the Ibero-American Programme for Science, Technology and Development - CYTED (PhasIbeAm project); Spanish Government - Ministry of Economy and Competitiveness (EUI2009-04052, BIO2011-26205), “Centro de Excelencia Severo Ochoa 2013-2017,” SEV-2012-0208 and Project PT13/0001/0021 (ISCIII - Subdirección General de Evaluación y Fomento de la Investigación/FEDER “Una Manera de hacer Europa”); Brazilian Government—National Council for Scientific and Technological Development - CNPq/Prosul (490725/2010-4); Ministerio de Ciencia, Tecnología e Innovación Productiva de la República Argentina; Consejo Nacional de Ciencia y Tecnología - Conacyt, Mexico (J010-214-2009, Fronteras 2015-2/814); and U.S. government: USDA National Institute of Food and Agriculture (2013-67013-21224. M. R-A. and J.M.M.-V. are indebted to Conacyt for a doctoral fellowship.

Common bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs. Using this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56.7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average H E of 0.442 for the whole collection, 0.102 for Andean and 0.168 for Mesoamerican gene pools (F ST = 0.747 between gene pools), 0.440 for the group of cultivars and lines, and 0.448 for the group of landrace accessions (F ST = 0.002 between cultivar/line and landrace groups). The SNP effects were predicted with predominance of impact on non-coding regions (77.8%). SNPs under selection were identified within gene pools comparing landrace and cultivar/line germplasm groups (Andean: 18; Mesoamerican: 69) and between the gene pools (59 SNPs), predominantly on chromosomes 1 and 9. The LD extension estimate corrected for population structure and relatedness (r2 SV) was ~ 88 kbp, while for the Andean gene pool was ~ 395 kbp, and for the Mesoamerican was ~ 130 kbp. For common bean, DArTseq provides an efficient and cost-effective strategy of generating SNPs for large-scale genome-wide studies. The DArTseq resulted in an operational panel of 560 polymorphic SNPs in linkage equilibrium, providing high genome coverage. This SNP set could be used in genotyping platforms with many applications, such as population genetics, phylogeny relation between common bean varieties and support to molecular breeding approaches.

The identification of rice drought tolerant materials is crucial for the development of best performing cultivars for the upland cultivation system. This study aimed to identify markers and candidate genes associated with drought tolerance by Genome Wide Association Study analysis, in order to develop tools for use in rice breeding programs. This analysis was made with 175 upland rice accessions (Oryza sativa), evaluated in experiments with and without water restriction, and 150,325 SNPs. Thirteen SNP markers associated with yield under drought conditions were identified. Through stepwise regression analysis, eight SNP markers were selected and validated in silico, and when tested by PCR, two out of the eight SNP markers were able to identify a group of rice genotypes with higher productivity under drought. These results are encouraging for deriving markers for the routine analysis of marker assisted selection. From the drought experiment, including the genes inherited in linkage blocks, 50 genes were identified, from which 30 were annotated, and 10 were previously related to drought and/or abiotic stress tolerance, such as the transcription factors WRKY and Apetala2, and protein kinases.

The identification and validation of candidate genes related to traits of interest is a time consuming and expensive process and the homology among genes from different species can facilitate the identification of genes of the target species from the genomic information of a model species. This study aimed to quantify the expression of homologous rice genes previously related to drought tolerance in Arabidopsis. Five genes (CPK6, PLDa, GluR2, CesA8, and EIN2) were identified in rice by the homology of the amino acid sequence between rice and Arabidopsis. The genotypes Douradao (drought tolerant) and Primavera (drought susceptible) were subjected to a water deficit experiment, and subsequently evaluated for gene expression by qPCR for the five homologous and Lsi1 genes. The qPCR analysis clearly showed that the five homologous genes were expressed in rice, which is an indication that these genes could preserve their function in rice as a response to drought. In Douradao, of the five homologous genes, all but OsGluR2 displayed an increase in the average expression in drought treatment when compared to the control, while in Primavera, the average expression of the five genes did not differ between the control and drought treatment. In Douradao, the OsPLDa1, which showed the higher expression level in drought in relation to the control (10.82), significantly increased the gene expression in the leaf and root tissues as a response to drought, in both vegetative and reproductive stages, whereas in Primavera, this gene was suppressed in both tissues and stages under drought. Therefore, the OsPLDa1 gene was the most important in relation to drought response and is an interesting candidate for further studies in developing rice cultivars that are more tolerant to this stress.

This work aimed to evaluate the drought tolerance of transformed plants of the cultivar BRSMG Curinga that overexpress the rice phospholipase D α1 (OsPLDα1) gene. The productivity of independent transformation event plants of the OsPLDα1 gene was evaluated in an experiment where 19 days of water deficit were applied at the reproductive stage, a very strict growing condition for upland rice. The non-genetically modified cultivar (NGM) under drought treatment reduced productivity by 89% compared with that under irrigated treatment, whereas transformed plants (PLDα1_E2) reduced productivity by only 41%. After the drought treatment, the PLDα1_E2 plants productivity was five times greater than that of the NGM plant. Moreover, no adverse effects on growth and development of the transgenic plants were observed. Seven days after the resumption of irrigation, PLDα1_E2 plants had higher stomatal conductance, greater photosynthetic rate, and transpiration rate than did NGM plants, as well as a higher expression level of the OsPLDα1 gene. A delay in the senescence process was observed in these PLDα1_E2 plants, and this was determined for the recovery of photosynthesis, with greater expression of the Rubisco and lower expression of the SOD. This finding was suggestive of decreased oxidative stress, probably due to gas exchange by the partial closure of the stomata of these transformed plants, which prevented the formation of reactive oxygen species. OsPLDα1 gene overexpression resulted in a reduction in production loss under severe water deficit and revealed a possibility for the development of upland rice cultivars that are more tolerant to extreme drought conditions.

The level and distribution of the genetic variability in 18 natural populations of Oryza glumaepatula that were collected from two Brazilian states were estimated using a set of 23 highly informative SSR markers. Samples comprising 78 and 117 individuals from populations of the states of Tocantins and Roraima, respectively, were evaluated in order to integrate and support previous studies that were carried out with populations of O. glumaepatula from Brazil. A total of 189 alleles were identified with an average of 8.22 alleles per locus. The 11 populations from Roraima presented, in combination, a higher genetic diversity (HE = 0.245) compared with that of the seven populations from Tocantins (HE = 0.212). All of the populations showed high and significant inbreeding values (mean f = 0.59); however, the mean was higher in Tocantins populations, indicating a higher gene flow in Roraima populations. The overall coefficient of genetic differentiation (FST) among the populations was high and significant (0.59) and was higher in Tocantins due to the isolation of each population, in contrast to Roraima, where gene flow occurred more frequently. The SSR panel used in this work resulted to be informative (polymorphism information content = 0.201) for assessing genetic structure in O. glumaepatula populations.

The common bean, an important source of protein and minerals for humans, complements cereals both nutritionally and as a rotation crop, supplying nitrogen and reducing soil pathogens. The aim of this study was to develop an operational SNP-based panel for common bean in order to facilitate SSR employment in genetic diversity and population structure analyses, and its use in breeding programs. A set of 88 diverse and important common bean cultivars/lines (53), landraces (33) and wild accessions (2) were genotyped. Overall, the 58 SSRs performed better at evaluating genetic diversity (Ā = 7.38; He = 58.7 %; PI = 1.20E−45) than the 345 SNPs, of which the SSRs dinucleotides (SSR-di) were more informative (Ā = 9.92; He = 72.5 %; PI = 3.40E−26) and a selected set of 13 SSRs (Ā = 15.31/locus; He = 84.5 %; PI = 1.03E−19) allowed for the discrimination of all individuals. For the 345 high-quality scored SNPs a low combined PI (4.70E−119) and high PE (100 %) was obtained for the assessment of parentage and identity. The SNPs were very useful for linkage mapping in inter- (78.2 %) and intra-gene pool (17.7 %) crosses. Both markers afforded high resolution detection of inter-gene pool structure, with greater differentiation based on SNPs (K = 2, F ST = 0.759). The SSRs-di differentiated cultivars/lines and landraces (K = 3) of Mesoamerican origin. A set of 16 SSRs was selected to establish a routine and operational analysis of Genbank accessions allowing an efficient origin-based discrimination of common bean accessions. Operational genotyping panels based on SSRs and SNPs were derived, contributing to the growing integration of genomics with molecular breeding programs of the common bean.

The common bean (Phaseolus vulgaris L.) is the world?s most important legume for human consumption. Anthracnose (ANT; Colletotrichum lindemuthianum) and angular leaf spot (ALS; Pseudocercospora griseola) are complex diseases that cause major yield losses in common bean. Depending on the cultivar and environmental conditions, anthracnose and angular leaf spot infections can reduce crop yield drastically. This study aimed to estimate linkage disequilibrium levels and identify quantitative resistance loci (QRL) controlling resistance to both ANT and ALS diseases of 180 accessions of common bean using genomewide association analysis. A randomized complete block design with four replicates was performed for the ANT and ALS experiments, with four plants per genotype in each replicate. Association mapping analyses were performed for ANT and ALS using a mixed linear model approach implemented in TASSEL. A total of 17 and 11 significant statistically associations involving SSRs were detected for ANT and ALS resistance loci, respectively. Using SNPs, 21 and 17 significant statistically associations were obtained for ANT and angular ALS, respectively, providing more associations with this marker. The SSR-IAC167 and PvM95 markers, both located on chromosome Pv03, and the SNP scaffold00021_89379, were associated with both diseases. The other markers were distributed across the entire common bean genome, with chromosomes Pv03 and Pv08 showing the greatest number of loci associated with ANT resistance. The chromosome Pv04 was the most saturated one, with six markers associated with ALS resistance. The telomeric region of this chromosome showed four markers located between approximately 2.5 Mb and 4.4 Mb. Our results demonstrate the great potential of genome-wide association studies to identify QRLs related to ANT and ALS in common bean. The results indicate a quantitative and complex inheritance pattern for both diseases in common bean. Our findings will contribute to more effective screening of elite germplasm to find resistance alleles for marker-assisted selection in breeding programs. Made available in DSpace on 2017-09-27T10:34:08Z (GMT). No. of bitstreams: 1 CNPAF2016plosone.pdf: 978494 bytes, checksum: 7270612231930d2467501c7c4e087487 (MD5) Previous issue date: 2017-09-26

O objetivo deste trabalho foi identificar, por meio da análise de mapeamento associativo, os marcadores moleculares relacionados à produtividade do arroz de terras altas e aos seus caracteres componentes. Foram usadas 113 linhagens e cultivares de arroz de terras altas, da Coleção Nuclear de Arroz da Embrapa, com reduzido vínculo genético entre si. Os seguintes caracteres componentes da produtividade foram avaliados: número de panículas por metro, número de grãos por panícula e peso de 100 grãos. Dos 115 marcadores utilizados, 25 (21,7%) associaram-se significativamente a um ou mais caracteres. Entre os 29 SSR ("simple sequence repeats") colocalizados em QTL ("quantitative trait loci") de produtividade de arroz, 12 foram associados aos caracteres avaliados e considerados como candidatos para uso na seleção assistida por marcadores. Os marcadores NP914540, Q6ZGD1 e Q69JE3, associados ao número de grãos por panícula, ainda não foram anotados no arroz e podem constituir o ponto de partida para estudos de genômica funcional. Entre os marcadores derivados de sequências transcritas, NP914526 e NP914533 destacam-se por pertencer a rotas metabólicas relacionadas ao aumento do potencial produtivo de arroz. The objective of this work was to identify, through analysis of associative mapping, the molecular markers related to upland rice yield and its component traits. One hundred thirteen lines and cultivars of upland rice, with reduced admixture, from the Rice Core Collection of Embrapa, were used. The following yield component traits were evaluated: number of panicles per meter, number of grains per panicle, and weight of 100 grains. Out of the 115 used markers, 25 (21.7%) were significantly associated with one or more traits. Among the 29 SSR (simple sequence repeats) co-located in yield QTL (quantitative trait loci) in rice, 12 were associated with the evaluated traits and considered candidates for use in marker-assisted selection. The markers NP914540, Q6ZGD1, and Q69JE3, associated with the number of grains per panicle, are not yet annotated in rice and should constitute the starting point for functional genomics studies. Among the markers derived from transcribed sequences, NP914526 and NP914533 stand out for belonging to metabolic pathways related to increased yield potential of rice.

The reduced genetic variability of modern rice varieties (Oryza sativa) is of concern because it reduces the possibilities of genetic gain in breeding programs. Introgression lines (ILs) containing genomic fragments from wild rice can be used to obtain new improved cultivars. The objective of the present study was to perform the agronomic and molecular characterizations of 35 BC2F8 ILs from the cross O. glumaepatula x O. sativa, aiming to select high-yielding ILs to be used in rice-breeding programs. All 35 ILs were field evaluated in the season 2002/2003 in three locations and the 15 best performing ones were evaluated in the season 2003/2004 in five locations. In 2003/2004, six ILs (CNAi 9934, CNAi 9931, CNAi 9930, CNAi 9935, CNAi 9936, and CNAi 9937) showed the highest yield means and were statistically superior to the controls Metica 1 and IRGA 417. Molecular characterization of the 35 ILs was performed with 92 microsatellite markers distributed on the 12 rice chromosomes and a simple regression quantitative trait locus analysis was performed using the phenotypic data from 2002/2003. The six high-yielding ILs showed a low proportion of wild fragment introgressions. A total of 14 molecular markers were associated with quantitative trait loci in the three locations. The six high-yielding ILs were incorporated in the Embrapa breeding program, and the line CNAi 9930 is recommended for cultivation due to additional advantages of good grain cooking and milling qualities and high yield stability. The O. glumaepatula-derived ILs proved to be a source of new alleles for the development of high-yielding rice cultivars. Made available in DSpace on 2022-04-28T18:23:56Z (GMT). No. of bitstreams: 1 gmr.pdf: 976098 bytes, checksum: 711688009f9607024bdc10d13a2af4b6 (MD5) Previous issue date: 2008

Molecular linkage maps representing the rice genome have been an important tool for breeding programs because they allow the elucidation of polygenic traits and are an efficient tool for monitoring wild introgressions in interspecific crosses. Common markers among rice genetic maps are important in defining the homology of chromosomes and the synteny between genomic target regions. We used 148 markers (expressed sequence tags, microsatellites and single nucleotide polymorphisms) to construct a molecular linkage map based on co-dominant markers for an interspecific backcross population using a wild rice ( Oryza glumaepatula) from Brazil and performed a comparative analysis with other interspecific maps. The comparative analysis revealed a Spearman correlation index of 0.86 for marker order conservation to a previous map constructed for an interspecific cross using the same wild parent. Approximately 90% of markers common to other interspecific maps kept the same order. These results indicate that it will be possible to generate a unique genetic map using the wild donor and that it may be a helpful tool for breeding programs because plants derived from different interspecific populations can be rapidly scanned using markers associated with useful wild traits. Made available in DSpace on 2017-11-16T23:22:58Z (GMT). No. of bitstreams: 1 CNPAF2007gmb.pdf: 276326 bytes, checksum: 4d0ef3f505456924cebfd608cc1a48c8 (MD5) Previous issue date: 2008-01-03

Drought stress, particularly during the flowering and grain-filling stages of growth, contributes to serious yield loss in common bean (Phaseolus vulgaris L.). The aim of this study was to identify genes induced in response to drought stress using transcriptome analysis of contrasting genotypes. Using leaf tissues of tolerant (BAT 477) and susceptible common bean genotypes (Perola), collected at the flowering and grain-filling stages, four complementary deoxyribonucleic acid representational difference analysis subtractive libraries were constructed and then sequenced. A total of 7,203 (77.6 %) sequences with an average sequence size of 570 bp were considered valid, for a combined 4 Mbp sequence. According to a differential display analysis, 802 expressed sequence tags, distributed across 67 contigs, were differentially expressed by the tolerant (37 contigs) and susceptible genotypes (30 contigs) after identification under drought conditions during the two investigated plant developmental stages. Of these differential contigs, the 13 most frequent genes were exclusive to the tolerant genotype. Based on BLAST2GO, 73 % of the gene sequences were annotated and 12 % showed mapping results, with the highest similarity rate corresponding to Glycine max (41 %). According to gene ontology functional analysis, 48 % of the sequences were attributed to cell metabolic processes. Overall, 8.3 % of the transcribed sequences exhibited similarity to transcription factors, predominantly those of the AP2-EREBP family (97.8 %). Of the target sequences validated by quantitative real-time polymerase chain reaction, most genes showed an expression level that agreed with that predicted by in silico analysis. Thus, the drought transcriptome dataset is a valuable resource on the variation in these gene sequences, offering the opportunity to identify robust molecular markers tightly linked to trait-controlling loci for use in marker-assisted breeding.

The objective of this work was to evaluate the yield performance of two generations (BC2F2 and BC2F9) of introgression lines developed from the interspecific cross between Oryza sativa and O. glumaepatula, and to identify the SSR markers associated to yield. The wild accession RS‑16 (O. glumaepatula) was used as donor parent in the backcross with the high yielding cultivar Cica‑8 (O. sativa). A set of 114 BC2F1 introgression lines was genotyped with 141 polymorphic SSR loci distributed across the whole rice genome. Molecular analysis showed that in average 22% of the O. glumaepatula genome was introgressed into BC2F1 generation. Nine BC2F9 introgression lines had a significantly higher yield than the genitor Cica‑8, thus showing a positive genome interaction among cultivated rice and the wild O. glumaepatula. Seven QTL were identified in the overall BC2F2, with one marker interval (4879‑EST20) of great effect on yield. The alleles with positive effect on yield came from the cultivated parent Cica‑8.O objetivo deste trabalho foi avaliar o desempenho produtivo de duas gerações (RC2F2 e RC2F9) de linhagens de introgressão, desenvolvidas a partir do cruzamento interespecífico entre Oryza sativa e O. glumaepatula, bem como identificar marcadores SSR associados à produtividade. O acesso selvagem RS‑16 (O. glumaepatula) foi utilizado como doador parental no retrocruzamento com a cultivar elite Cica‑8 (O. sativa). Uma série de 114 linhagens de introgressão RC2F1 foi genotipada com 141 locos SSR polimórficos distribuídos ao longo de todo o genoma do arroz. A análise molecular indicou que, em média, 22% do genoma de O. glumaepatula foi introgredida na geração RC2F1. Nove linhagens de introgressão RC2F9 tiveram produção significativamente maior que o genitor Cica‑8, o que mostra uma interação genômica positiva entre o arroz cultivado e a espécie silvestre O. glumaepatula. Sete QTL foram identificados em toda geração RC2F2, com um intervalo de marcadores (4879‑EST20) de grande efeito sobre a produtividade. Os alelos com efeitos positivos sobre a produtividade foram provenientes do genitor cultivado Cica‑8.

Analysis of DNA polymorphisms allows for the genetic identification and precise discrimination of species with a narrow genetic base such as common bean. The primary objectives of the present study were to molecularly characterize commercial common bean varieties developed at various research institutions using microsatellite markers and to determine the degree of genetic diversity among the bean varieties analyzed. Fifty cultivars representing 12 grain classes and 64 genitors, i.e., accessions used to develop these cultivars, were characterized. Based on an analysis of 24 simple sequence repeats, the estimates for the average number of alleles and genetic diversity were 8.29 and 0.646, respectively. The combined probability of identity was estimated at 7.05 x 10(-17), indicating a high individual discriminatory power. Thirty-two percent of the cultivars exhibited heterogeneity for multiple loci that reflected either homozygosity for different alleles of a given locus in different individuals or heterozygosity for the locus. The average genetic diversity for the groups of cultivars and genitors was 0.605 and 0.660, respectively, with no genetic differentiation (F-ST) between these groups. Although similar estimates of expected heterozygosity were observed when the cultivars were grouped by release date, a greater number of private alleles was observed in the most recent cultivars. The genetic differentiation among cultivars originating from different institutions was not different from zero (F-ST = 0.01). The molecular profile database derived from these analyses may increase the statistical power of genetic estimates and may be incorporated into breeding programs for common bean. Furthermore, the profiles obtained for the different cultivars may be used as molecular descriptors to complement traditional descriptors used in distinctiveness, uniformity and stability tests, thereby improving the traceability of samples and their derivatives and helping to protect the intellectual property rights of breeders. Made available in DSpace on 2018-01-16T23:22:02Z (GMT). No. of bitstreams: 1 CNPAF2014gmr.pdf: 525097 bytes, checksum: 45b4d58b033cdce57844eb22451466e1 (MD5) Previous issue date: 2018-01-16

Background: Legumes are the third largest family of angiosperms and the second most important crop class. Legume genomes have been shaped by extensive large-scale gene duplications, including an approximately 58 million year old whole genome duplication shared by most crop legumes. Results: We report the genome and the transcription atlas of coding and non-coding genes of a Mesoamerican genotype of common bean (Phaseolus vulgaris L., BAT93). Using a comprehensive phylogenomics analysis, we assessed the past and recent evolution of common bean, and traced the diversification of patterns of gene expression following duplication. We find that successive rounds of gene duplications in legumes have shaped tissue and developmental expression, leading to increased levels of specialization in larger gene families. We also find that many long non-coding RNAs are preferentially expressed in germ-line-related tissues (pods and seeds), suggesting that they play a significant role in fruit development. Our results also suggest that most bean-specific gene family expansions, including resistance gene clusters, predate the split of the Mesoamerican and Andean gene pools. Conclusions: The genome and transcriptome data herein generated for a Mesoamerican genotype represent a counterpart to the genomic resources already available for the Andean gene pool. Altogether, this information will allow the genetic dissection of the characters involved in the domestication and adaptation of the crop, and their further implementation in breeding strategies for this important crop., La lista completa de autores que integran el documento puede consultarse en el archivo., Facultad de Ciencias Exactas, Instituto de Biotecnologia y Biologia Molecular

The objective of this work was to determine the effect of male sterility or manual recombination on genetic variability of rice recurrent selection populations. The populations CNA-IRAT 4, with a gene for male sterility, and CNA 12, which was manually recombined, were evaluated. Genetic variability among selection cycles was estimated using14 simple sequence repeat (SSR) markers. A total of 926 plants were analyzed, including ten genitors and 180 individuals from each of the evaluated cycles (1, 2 and 5) of the population CNA-IRAT 4, and 16 genitors and 180 individuals from each of the cycles (1 and 2) of CNA 12. The analysis allowed the identification of alleles not present among the genitors for both populations, in all cycles, especially for the CNA-IRAT 4 population. These alleles resulted from unwanted fertilization with genotypes that were not originally part of the populations. The parameters of Wright's F-statistic (F IS and F IT) indicated that the manual recombination expands the genetic variability of the CNA 12 population, whereas male sterility reduces the one of CNA-IRAT 4. O objetivo deste trabalho foi determinar os efeitos da macho-esterilidade ou da recombinação manual sobre a variabilidade genética de populações de seleção recorrente de arroz. Foram avaliadas as populações CNA-IRAT 4, com gene de macho-esterilidade, e CNA 12, recombinada manualmente. A variabilidade genética entre os ciclos de seleção foi estimada por 14 marcadores de sequências simples repetidas (SSR). Foram analisadas 926 plantas, incluindo dez genitores e 180 indivíduos de cada um dos ciclos avaliados (1, 2 e 5) da população CNA-IRAT 4, e 16 genitores e 180 indivíduos de cada um dos ciclos (1 e 2) da CNA 12. A análise possibilitou a identificação de alelos não existentes nos genitores nas duas populações, em todos os ciclos, principalmente para a população CNA-IRAT 4. Esses alelos foram resultantes da fecundação indesejada a partir de genótipos que não faziam parte das populações. Os parâmetros da estatística F de Wright (F IS e F IT) indicaram que a recombinação manual amplia a variabilidade genética da população CNA 12, enquanto a macho-esterilidade reduz a de CNA-IRAT 4.

Root-knot nematodes (RKN; Meloidogyne sp.) are a major threat to crops in tropical and subtropical regions worldwide. The use of resistant crop varieties is the preferred method of control because nematicides are expensive, and hazardous to humans and the environment. Peanut (Arachis hypogaea) is infected by four species of RKN, the most damaging being M. arenaria, and commercial cultivars rely on a single source of resistance. In this study, we genetically characterize RKN resistance of the wild Arachis species A. stenosperma using a population of 93 recombinant inbred lines developed from a cross between A. duranensis and A. stenosperma. Four quantitative trait loci (QTL) located on linkage groups 02, 04, and 09 strongly influenced nematode root galling and egg production. Drought-related, domestication and agronomically relevant traits were also evaluated, revealing several QTL. Using the newly available Arachis genome sequence, easy-to-use KASP (kompetitive allele specific PCR) markers linked to the newly identified RKN resistance loci were developed and validated in a tetraploid context. Therefore, we consider that A. stenosperma has high potential as a new source of RKN resistance in peanut breeding programs.

The decrease in the per capita consumption of beans has been partially attributed to their lengthy cooking time and the aggregated capital costs of their preparation. The aim of this study was to map microsatellite (SSR) markers linked to quantitative trait loci (QTLs) that govern the cooking time of common beans. An F2 generation consisting of 140 families was generated from a cross between lines CNFM7875 and Laranja. The cooking time of the F2:4 and F2:5 generations was then evaluated, and the latter generation was tested in two environments. The analysis of variance found a significant effect for the interactions between the families (P < 0.01) in both the F2:4 and F2:5 generations, as well as for the group analyses performed in the two environments. The experimental coefficient of variation varied from 9.42 to 17.94%. The Pearson’s correlation test indicated no significant association between water absorption and cooking time. The heritability coefficients had values of 0.532 and 0.739 for the F2:5 families evaluated at the two different locations, and the group analysis of the F2:5 generation indicated that there was a significant genotype × environment interaction. Of the 105 polymorphic SSRs evaluated, 91 mapped to 12 linkage groups with an estimated map size of 1,303.7 cM. Six significant QTLs were detected in both environments, and the percentage of the phenotypic variation that was explained by these loci ranged from 11.54 to 21.63%. As the genetic control was oligogenic, the identification of QTLs should serve as an optimal starting point for the implementation of a selection program.

We identified 14 microsatellite loci for the wolf fish, Hoplias malabaricus (Erythrinidae), from a genomic shotgun library. Twenty-five primers were designed, and 48 individuals of H. malabaricus from four localities of northwest Goias, in central Brazil, were genotyped to characterize the polymorphism at each locus. Fourteen primers amplified clearly interpretable products using a single PCR protocol; six loci were polymorphic, but with a low number of alleles per locus (2 or 3). Expected heterozygosities for polymorphic loci ranged from 0.136 to 0.505. Combined paternity exclusion probability (0.638) was low and combined genetic identity (0.056) was high in studies of parentage. The low polymorphism may be due to the small microsatellite size and the large size of the motifs.

The mapping population consisted of 94 F2 generation plants derived from a cross between the CNFC 7812and CNFC 8056 lines, with different protein contents, 24% and 19% respectively. Seven hundred and fifty-two molecularmarkers were tested among the parents and four individuals from the segregant population. A total of 101 loci were used todevelop the genetic map. The polymorphism rate was 8.3% and 23.2% for the microsatellite and RAPD markers, respectively.The sizes of the linkage groups ranged from 6.7 to 139.0 cM , presenting a mean of 49.4 ± 36.8. The map length was 840.7cM and the mean group length was 45.9 cM. The average distance between the framework loci was 16.1 cM. This map wascompared with international reference bean maps and results were discussed. The construction of the genetic map fromparents of the same center of origin and the commercial grain type were discussed.

Knowledge of natural diversity and population structures of wild species, which might be related to cultivated species, is fundamental for conservation and breeding purposes. In this study, a genetic characterization of a large population of Oryza glumaepatula, occurring in a 10 km2 area located at Tamengo Basin (Paraguay River, Brazil), was performed using SSR markers. This population is annually dragged from the river to permit navigation; one goal of this study was to examine the impact of this removal on genetic variability. From 18 polymorphic SSR markers, a total of 190 alleles were detected in a sample of 126 individuals, with an average of 10.3 alleles/locus, and a H e of 0.67. The five QTL-related markers showed an average H e value of 0.56, while the remaining 13 markers detected an average estimate of 0.70. An apparent outcrossing rate of 30%, a high proportion of alleles at low frequencies (56%), and the presence of exclusive alleles (9.5%) were found, with strong evidence of the establishment of individuals from different populations upstream in the Paraguay River. For conservation purposes, the river drag has no effect on the population. However, periodical seed collection from the Corumba population can preserve part of the genetic variability present in upstream populations reducing the need for upriver collecting expeditions.

The study aimed to evaluate the capacity of SSR markers to detect the gene flow between the red rice (RR) and the cultivated rice (CR). SSR is currently used in plant genomic analysis due to the high information content, to be co-dominant, and based on the PCR reaction. The field experiment was organized in ten concentric circles, 5 m to 50 m apart from a central red rice plant, assumed as the pollen donor. One hundred twenty rice CR plants, cv. BR-Irga 409, were planted in the intersections of the concentric circles and the twelve radii. From 51 SSR markers, four were selected due to their capacity to detect the polymorphism between RR and CR, aiming to identify RR alleles in seeds produced by BR-Irga 409 plants. The maximum distance found for gene flow between RR and CR plants was 10 m from the RR plant. In theory, at 0.1% cross pollination rate, this distance can generate 4,710 hybrids between RR and CR. In the next generation, about 3,532 plants would produce exclusively rice grains with red color. The SSR markers were able to identify the gene flow between RR and CR; therefore, they can be useful to increase the precision of cross pollination rate estimates in rice, mainly if used with other methodologies (e.g., herbicide tolerant plants). KEY WORDS: Cross pollination; microsatellite markers; Oryza sativa. Este trabalho objetivou avaliar a capacidade de marcadores SSR em detectar a ocorrência de fluxo gênico entre o arroz vermelho (AV) e o arroz cultivado (AC). Marcadores SSR são utilizados em análise genômica de plantas devido ao alto conteúdo informativo, serem co-dominantes e baseados na reação de PCR. O ensaio de campo foi realizado em dez círculos concêntricos de 5 m a 50 m de distância, a partir de uma planta AV central, que foi a fonte doadora de pólen. Foram semeadas 120 plantas de arroz da cultivar BR-Irga 409, distribuídas nas interseções entre os círculos e doze raios. A partir de 51 marcadores SSR, foram selecionados quatro marcadores que detectaram polimorfismo entre o AV e AC, para identificar os alelos de AV em sementes produzidas pelas plantas da cultivar BR-Irga 409. A distância máxima encontrada entre a planta AV doadora de pólen e uma planta AC que produziu sementes híbridas (AV x AC) foi de 10 m. Teoricamente, sob 0,1% de taxa de cruzamento, esta distância de polinização pode dar origem a 4.710 sementes híbridas entre AC e AV, o que, na geração seguinte, resultará em 3.532 plantas produzindo grãos vermelhos. Marcadores SSR foram capazes de identificar fluxo gênico entre AR e AC; e, portanto, podem ser empregados em associação com outras metodologias (ex. plantas tolerantes a herbicidas) para melhorar a precisão das estimativas de polinização cruzada em arroz. PALAVRAS-CHAVE: Oryza sativa; polinização cruzada; marcadores microssatélites.

Researchers have made great advances into the development and application of genomic approaches for common beans, creating opportunities to driving more real and applicable strategies for sustainable management of the genetic resource towards plant breeding. This work provides useful polymorphic single-nucleotide polymorphisms (SNPs) for high-throughput common bean genotyping developed by RAD (restriction site-associated DNA) sequencing. The RAD tags were generated from DNA pooled from 12 common bean genotypes, including breeding lines of different gene pools and market classes. The aligned sequences identified 23,748 putative RAD-SNPs, of which 3357 were adequate for genotyping; 1032 RAD-SNPs with the highest ADT (assay design tool) score are presented in this article. The RAD-SNPs were structurally annotated in different coding (47.00 %) and non-coding (53.00 %) sequence components of genes. A subset of 384 RAD-SNPs with broad genome distribution was used to genotype a diverse panel of 95 common bean germplasms and revealed a successful amplification rate of 96.6 %, showing 73 % of polymorphic SNPs within the Andean group and 83 % in the Mesoamerican group. A slightly increased He (0.161, n = 21) value was estimated for the Andean gene pool, compared to the Mesoamerican group (0.156, n = 74). For the linkage disequilibrium (LD) analysis, from a group of 580 SNPs (289 RAD-SNPs and 291 BARC-SNPs) genotyped for the same set of genotypes, 70.2 % were in LD, decreasing to 0.10 %in the Andean group and 0.77 % in the Mesoamerican group. Haplotype patterns spanning 310 Mb of the genome (60 %) were characterized in samples from different origins. However, the haplotype frameworks were under-represented for the Andean (7.85 %) and Mesoamerican (5.55 %) gene pools separately. In conclusion, RAD sequencing allowed the discovery of hundreds of useful SNPs for broad genetic analysis of common bean germplasm. From now, this approach provides an excellent panel of molecular tools for whole genome analysis, allowing integrating and better exploring the common bean breeding practices.

Microsatellite markers were developed for population genetic analyses of the Neotropical tree Eugenia dysenterica DC (Myrtaceae), after construction of a shotgun genomic library for microsatellite discovery. Nine primers were designed, of which 5 yielded amplified product. These primers were polymorphic for 97 individuals collected in 3 distinct localities. The number of alleles per locus (primer) ranged from 3 to 11 and expected heterozygosities varied from 0.309 to 0.884. The probability of locus identity was ~1.88 x 10(-4) and the probability of paternity exclusion was ~0.9367. The 5 microsatellite primer pairs may be suitable for population genetic studies such as parentage and fine-scale genetic analyses of this species.

Gene expression related to drought response in the leaf tissues of two Brazilian upland cultivars, the drought-tolerant Douradao and the drought-sensitive Primavera, was analyzed. RNA-seq identified 27,618 transcripts in the Douradao cultivar, with 24,090 (87.2%) homologous to the rice database, and 27,221 transcripts in the Primavera cultivar, with 23,663 (86.9%) homologous to the rice database. Gene-expression analysis between control and water-deficient treatments revealed 493 and 1154 differentially expressed genes in Douradao and Primavera cultivars, respectively. Genes exclusively expressed under drought were identified for Douradao, including two genes of particular interest coding for the protein peroxidase precursor, which is involved in three distinct metabolic pathways. Comparisons between the two drought-exposed cultivars revealed 2314 genes were differentially expressed (978 upregulated, 1336 downregulated in Douradao). Six genes distributed across 4 different transcription factor families (bHLH, MYB, NAC, and WRKY) were identified, all of which were upregulated in Douradao compared to Primavera during drought. Most of the genes identified in Douradao activate metabolic pathways responsible for production of secondary metabolites and genes coding for enzymatically active signaling receptors. Quantitative PCR validation showed that most gene expression was in agreement with computational prediction of these transcripts. The transcripts identified here will define molecular markers for identification of Cis-acting elements to search for allelic variants of these genes through analysis of polymorphic SNPs in GenBank accessions of upland rice, aiming to develop cultivars with the best combination of these alleles, resulting in materials with high yield potential in the event of drought during the reproductive phase.

Rice is one of the staple foods consumed worldwide, and rice breeding programs have become important to warrant high yield levels and grain quality in upland rice. This study aimed at insights on the genetic variability of 30 elite genotypes from a VCU trial, of the upland rice breeding program of Embrapa, using 25 SSR markers. One hundred and thirty- one alleles were obtained, an average of 5.2 alleles per locus, and mean PIC equal to 0.61. The results indicated that genetically different elite parents from the breeding program and selection in segregating families have given rise to broad- based rice genotypes. Analyzing different combinations of 10 SSR markers, we observed that the use of more informative markers is essential to explain the genetic divergence consistently with the pedigree of each rice genotype.

This study aimed to identify allele sources for seedling vigor in 65 rice genotypes, using the slantboard test in a germination chamber, and to determine the best parameter for evaluating seedling vigor. The experiment was arranged in the randomized block design with three replicate blocks. Root and primary leaf length data were collected from seedlings grown in the dark at 18 oC, 15 days after sowing and at 25 oC, ten days after sowing. The best performing genotypes for seedling vigor were included in Group 2, which contained red rice accessions. The vigor was best evaluated under controlled conditions (grown at 18 oC, 15 days after sowing) through measurements of roots and primary leaves.