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Cotton (Gossypium L.) is the most important fiber crop worldwide. Here, transcriptome analysis was conducted on developing fibers of a G. mustelinum introgression line, IL9, and its recurrent parent, PD94042, at 17 and 21 days post-anthesis (dpa). Differentially expressed genes (DEGs) of PD94042 and IL9 were identified. Gene Ontology (GO) enrichment analysis showed that the annotated DEGs were rich in two main biological processes and two main molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis likewise showed that the annotated DEGs were mainly enriched in metabolic pathways and biosynthesis of secondary metabolites. In total, 52 DEGs were selected as candidate genes based on comparison of the DEGs and GO function annotation information. Quantitative real-time PCR (RT-qPCR) analysis results for 12 randomly selected DEGs were consistent with transcriptome analysis. SNP identification based on G. mustelinum chromatin segment introgression showed that 394 SNPs were identified in 268 DEGs, and two genes with known functions were identified within fiber strength quantitative trait loci (QTL) regions or near the confidence intervals. We identified 52 key genes potentially related to high fiber strength in a G. mustelinum introgression line and provided significant insights into the study of cotton fiber quality improvement.

Ethyl methanesulfonate (EMS) mutagenesis offers important advantages for improving crops, such as cotton, with limited diversity in elite gene pools. EMS-induced point mutations are less frequently associated with deleterious traits than alleles from wild or exotic germplasm. From 157 mutant lines that have significantly improved fiber properties, we focused on nine mutant lines here. A total of eight populations were developed by crossing mutant lines in different combinations into GA230 (GA2004230) background. Multiple lines in each population were significantly improved for the fiber trait that distinguished the donor parent(s), demonstrating that an elite breeding line (GA230) could be improved for fiber qualities using the mutant lines. Genotypes improved for multiple fiber traits of interest suggesting that allele pyramiding is possible. Compared to midparent values, individual progeny in the population conferred fiber quality improvements of as much as 31.7% (in population O) for micronaire (MIC), 16.1% (in population P) for length, 22.4% (in population K) for strength, 4.1% (in population Q) for uniformity, 45.8% (in population N) for elongation, and 13.9% (in population O) for lint percentage (lint%). While further testing for stability of the phenotype and estimation of yield potential is necessary, mutation breeding shows promise as an approach to reduce the problem of the genetic bottleneck of upland cotton. The populations developed here may also contribute to identifying candidate genes and causal mutations for fiber quality improvement.

Eight upland cotton (Gossypium hirsutum L.) germplasm lines, GA qFL25-A1 (Reg.no. GP-1063, PI 690458), GA qFL25-A2 (Reg. no. GP-1064, PI 690459), GA qFL25-P1 (Reg. no. GP-1066, PI 690461), GA qFL25-P2 (Reg. no. GP-1065, PI 690460), GA qFL25-D1 (Reg. no. GP-1070, PI 690465), GA qFL25-D2 (Reg. no. GP-1069, PI 690464), GA qFL25-G1 (Reg. no. GP-1068, PI 690463), and GA qFL25-G2 (Reg. no. GP-1067, PI 690462), were developed by the Molecular Cotton Breeding Laboratory, Department of Crop and Soil Sciences, at the University of Georgia in Tifton, GA. These eight germplasm lines resulted from crossing 'Sealand 883' (SL883), a G. hirsutum line with significant introgression from G. barbadense L., with four diverse G. hirsutum parents, 'Acala SJ-4', 'Paymaster HS 26', 'Deltapine 50', andGA 2004089, an unreleased breeding line. Previous work identified qFL-Chr.25, a quantitative trait locus (QTL) inherited from G. barbadense with significant effect on fiber upper-half mean length (FL) carried by SL883. Bulked sister lines were selected with the aid of marker-assisted selection from several F3:5 segregating families from each of these four cross combinations to quantify the effect of the allele in sister lines with and without the QTL. The presence of the SL883 allele for qFL-Chr.25 resulted in FL increases of 0.6 mm (1.9%) to 3.5 mm (11.7%) compared with the corresponding sister lines without the QTL. These eight lines should be useful for marker-assisted improvement of fiber length Made available in DSpace on 2022-02-11T02:02:35Z (GMT). No. of bitstreams: 1 RESGISTRATION-OF-EIGTH-UPLANT-COTTON.pdf: 204323 bytes, checksum: 08da3d8da8da5c54f40d8e37ffc3a2ff (MD5) Previous issue date: 2020

Cotton (

Bermudagrass (Cynodon (L.)) is the most important warm-season grass grown for forage or turf. It shows extensive variation in morphological characteristics and growth attributes, but the genetic basis of this variation is little understood. Detection and tagging of quantitative trait loci (QTL) affecting above-ground morphology with diagnostic DNA markers would provide a foundation for genetic and molecular breeding applications in bermudagrass. Here, we report early findings regarding genetic architecture of foliage (canopy height, HT), stolon (stolon internode length, ILEN and length of the longest stolon LLS), and leaf traits (leaf blade length, LLEN and leaf blade width, LW) in 110 F1 individuals derived from a cross between Cynodon dactylon (T89) and C. transvaalensis (T574). Separate and joint environment analyses were performed on trait data collected across two to five environments (locations, and/or years, or time), finding significant differences (P < 0.001) among the hybrid progeny for all traits. Analysis of marker-trait associations detected 74 QTL and 135 epistatic interactions. Composite interval mapping (CIM) and mixed-model CIM (MCIM) identified 32 main effect QTL (M-QTL) and 13 interacting QTL (int-QTL). Colocalization of QTL for plant morphology partially explained significant correlations among traits. M-QTL qILEN-3-2 (for ILEN; R2 = 11–19%), qLLS-7-1 (for LLS; R2 = 13–27%), qLEN-1-1 (for LLEN; R2 = 10–11%), and qLW-3-2 (for LW; R2 = 10–12%) were ‘stable’ across multiple environments, representing candidates for fine mapping and applied breeding applications. QTL correspondence between bermudagrass and divergent grass lineages suggests opportunities to accelerate progress by predictive breeding of bermudagrass.

Extreme elongation distinguishes about one-fourth of cotton (Gossypium sp.) seed epidermal cells as “lint” fibers, useful for the textile industry, from “fuzz” fibers (

Bermudagrass lags in genomic and molecular breeding resources, particularly regarding a critical mass of robust, reproducible, and highly polymorphic molecular markers like simple sequence repeats (SSR). Here, 2017 sugarcane EST-SSR primer pairs (PPs) were screened for transferability and polymorphisms against commercial triploid hybrids and representatives of their parental species, tetraploid Cynodon dactylon and diploid C. transvaalensis. Fifty-four percent of PPs amplified target SSR in at least one of the two species, while 62% of these ‘transferable’ SSR were polymorphic. A subset of 228 polymorphic markers was utilized for genotyping 24 samples that included: 10 ‘Tif’ series cultivars (i.e., released from Tifton, GA), their parental species, 10 F1 hybrids between the two species, and two diverse Sorghum spp. A total of 90 and 144 PPs produced reproducible bands in the bermudagrass samples and the sorghum species, respectively. While 63 (70%) PPs were polymorphic among members of the ‘Tif’ diversity panel, 79 (54.8%) were polymorphic between the sorghum species. Further, 57 PPs polymorphic in the ‘Tif’ diversity panel were genotyped against 3 experimental lines and 7 commercial hybrids including ‘TifTuf’, a recent addition to the ‘Tif’ series. Joint analysis of 24 genotypes grouped bermudagrass accessions into two main clusters, one including C. dactylon and the other including C. transvaalensis. A small set of informative SSR readily differentiated the cultivar groups and identified potentially mischaracterized cultivars, but did not differentiate among mutants within cultivar groups. Heterologous EST-SSR from sugarcane are useful sources of polymorphic markers for cultivar identification in bermudagrass, and build on existing marker resources to facilitate genetic mapping, QTL analysis, and marker assisted selection.

Host plant resistance is the most practical approach to control the Southern root-knot nematode (Meloidogyne incognita; RKN), which has emerged as one of the most serious economic pests of Upland cotton (Gossypium hirsutum L.). Previous QTL analyses have identified a resistance locus on chromosome 11 (qMi-C11) affecting galling and another locus on chromosome-14 (qMi-C14) affecting egg production. Although these two QTL regions were fine mapped and candidate genes identified, expression profiling of genes would assist in further narrowing the list of candidate genes in the QTL regions. We applied the comparative transcriptomic approach to compare expression profiles of genes between RKN susceptible and resistance genotypes at an early stage of RKN development that coincides with the establishment of a feeding site and at the late stage of RKN development that coincides with RKN egg production. Sequencing of cDNA libraries produced over 315 million reads of which 240 million reads (76%) were mapped on to the Gossypium hirsutum genome. A total of 3,789 differentially expressed genes (DEGs) were identified which were further grouped into four clusters based on their expression profiles. A large number of DEGs were found to be down regulated in the susceptible genotype at the late stage of RKN development whereas several genes were up regulated in the resistant genotype. Key enriched categories included transcription factor activity, defense response, response to phyto-hormones, cell wall organization, and protein serine/threonine kinase activity. Our results also show that the DEGs in the resistant genotype at qMi-C11 and qMi-C14 loci displayed higher expression of defense response, detoxification and callose deposition genes, than the DEGs in the susceptible genotype.

In mapping populations segregating for many loci, the large amount of variation among genotypes often masks small-effect quantitative trait loci (QTL). This problem can be reduced by development of populations with fewer chromosome segments segregating. Here, we report early QTL detection in reciprocal advanced backcross populations from crosses between elite Gossypium hirsutum L. 'Acala Maxxa' (GH) and G. barbadense L. 'Pima S6' (GB). A total of 297 BCF and BCF progeny rows-127 segregating for GB chromosome segments in GH background and 170 segregating for GH chromosome segments in GB background-were evaluated in three environments. Totals of 3186 and 3026 polymorphic single-nucleotide polymorphisms (SNPs) in GH and GB backgrounds, respectively, were identified and used for trait mapping. Small-effect QTL (10% variance explained) made up 87 and 100% of QTL in GH and GB backgrounds, respectively. In both species, favorable alleles were found with effects being masked or neutralized by unfavorable alleles, with greater scope for improvement of GH than GB by introgressive breeding. A total of three stable QTL-two in GH background for fiber elongation (ELO) and micronaire (MIC) and one in GB background for upper-half mean length (UHM)-were identified in two out of three environments. Curiously, only four QTL-three for UHM and one for ELO-showed the expected opposite effects in reciprocal backgrounds, perhaps reflecting the combined consequences of epistasis, small phenotypic effects, and low coverage of some genomic regions. Along with new information for marker-assisted breeding, this study adds to knowledge that can be used to unravel complex genetic networks governing fiber quality traits.

Introgressive breeding to introduce both obvious variation into a gene pool, and to unmask cryptic variation masked by close linkage or epistatic interactions, has repeatedly been attempted to improve fiber traits in Gossypium hirsutum by employing Gossypium barbadense as a donor parent. This study reports genetic variation for fiber quality traits in reciprocal advanced backcross populations between G. hirsutum cultivar Acala Maxxa and G. barbadense cultivar Pima S6. Micronaire (MIC), elongation (ELO), strength (STR), upper half mean length (UHM), and uniformity index (UI) showed significant genotypic variance, albeit different in the respective backgrounds for all traits except UI. Different levels of variation among genotypes for the same traits in reciprocal backgrounds suggest different levels of epistatic interactions, a hypothesis supported by a significant difference in transgressive segregants in Acala Maxxa and Pima S6 backgrounds. In Acala Maxxa background, 18, 18, 7, and 3 genotypes had significantly better MIC, ELO, STR and UHM, respectively, than Acala Maxxa. In Pima S6 background 10, 5, 8, and 11 genotypes had significantly better MIC, ELO, STR, and UHM, respectively, than Pima S6. Increased genetic variation and improved fiber quality in both backgrounds appears attainable using reciprocal introgression; however, the number of genotypes with simultaneous improvement for multiple fiber quality traits was higher in Acala Maxxa than Pima S6 background. Reciprocal populations provide a platform to study cytoplasmic effects on genetic variation and heritability of fiber quality traits, and estimate the size of base populations required to obtain genotypes with genetic gain by backcross breeding.

Primitive and exotic accessions of cotton are potential sources of favorable alleles for genetic improvement, enriching diversity in the genetically constricted gene pool of elite cultivars. Three exotic accessions of cotton (MDN101, MDN063 and MDN257), collected from different parts of Central America and converted to day-neutral flowering; and four elite cultivars (PD94042, DES56, PMHS200 and Acala Maxxa) representing the US cotton gene pool were used as parents to create experimental populations. The corresponding F2 and F2:3 progenies of these populations were grown in two successive years (i.e., some in 2011–2012, some in 2012–2013) and phenotypes were scored in both F2 and F2:3 progenies in all 3 years (2011–2012–2013). These populations were screened with 113 polymorphic microsatellite markers selected from “hotspots” for fiber quality quantitative trait loci in the cotton genome and single marker analyses were performed to identify significant associations of the markers with six fiber quality traits. A total of 134 nominal marker-trait associations were identified, among which 15 were significant after Bonferroni correction for multiple comparisons. In 67 of 134 nominal associations and 4 of 15 significant associations, the exotic parents contributed favorable alleles to multiple backgrounds and for multiple traits, in addition to the traits for which they were selected. These results indicate that utilization of exotic and wild accessions of cotton is useful in introducing favorable alleles into the cultivated cotton gene pool for genetic improvement.

We report SSR-enriched genetic maps of bermudagrass that: (1) reveal partial residual polysomic inheritance in the tetraploid species, and (2) provide insights into the evolution of chloridoid genomes. This study describes genetic linkage maps of two bermudagrass species, Cynodon dactylon (T89) and Cynodon transvaalensis (T574), that integrate heterologous microsatellite markers from sugarcane into frameworks built with single-dose restriction fragments (SDRFs). A maximum likelihood approach was used to construct two separate parental maps from a population of 110 F1 progeny of a cross between the two parents. The T89 map is based on 291 loci on 34 cosegregating groups (CGs), with an average marker spacing of 12.5 cM. The T574 map is based on 125 loci on 14 CGs, with an average marker spacing of 10.7 cM. Six T89 and one T574 CG(s) deviated from disomic inheritance. Furthermore, marker segregation data and linkage phase analysis revealed partial residual polysomic inheritance in T89, suggesting that common bermudagrass is undergoing diploidization following whole genome duplication (WGD). Twenty-six T89 CGs were coalesced into 9 homo(eo)logous linkage groups (LGs), while 12 T574 CGs were assembled into 9 LGs, both putatively representing the basic chromosome complement (x = 9) of the species. Eight T89 and two T574 CGs remain unassigned. The marker composition of bermudagrass ancestral chromosomes was inferred by aligning T89 and T574 homologs, and used in comparisons to sorghum and rice genome sequences based on 108 and 91 significant blast hits, respectively. Two nested chromosome fusions (NCFs) shared by two other chloridoids (i.e., zoysiagrass and finger millet) and at least three independent translocation events were evident during chromosome number reduction from 14 in the polyploid common ancestor of Poaceae to 9 in Cynodon.

Rma, a dominant root-knot nematode resistance gene introduced into tetraploid peanut (Arachis hypogaea) from a synthetic allotetraploid donor (TxAG-6), has been widely deployed in modern cultivars. The genomic location and borders of the alien chromosome segment introgressed from TxAG-6 into NemaTAM (a BC7-derived introgression line) and other modern cultivars carrying Rma have not been genetically mapped, and resistance gene candidates (RGCs) have not been identified for Rma. Our study focused on densely populating the alien introgression with codominant DNA markers, identifying and mapping the borders of the alien introgression carried by NemaTAM, and identifying RGCs for Rma. Altogether, 2,847 simple sequence repeat (SSR) and 380 single strand conformational polymorphism (SSCP) markers were screened for linkage to Rma-247 of the SSCP markers targeted 202 nucleotide binding site (NBS) leucine-rich repeat (LRR) and other resistance (R) gene homologs (75 were identified by mining a peanut EST database). SSR, NBS-LRR, and Ser/Thr receptor-like protein loci within the alien introgression co-segregated with Rma in an F4 population (Gregory × Tifguard) and were tightly linked and spanned 3.4 cM in an F5 population (NemaTAM × GP-NC-WS-14). By comparative mapping in the A-genome progenitor of peanut (A. duranensis), Rma was discovered to have been introduced on an interstitial alien chromosome segment spanning one-third to one-half of chromosome 9A. Numerous codominant DNA markers were identified for finer mapping of Rma, shortening the alien introgression harboring Rma by marker-assisted selection, and introducing novel root-knot nematode R-genes into peanut by targeting syntenic segments on chromosomes 9A and 9B in wild diploid donors.

In mapping populations segregating for many loci, the large amount of variation among genotypes often masks small-effect quantitative trait loci (QTL). This problem can be reduced by development of populations with fewer chromosome segments segregating. Here, we report early QTL detection in reciprocal advanced backcross populations from crosses between elite Gossypium hirsutum L. ‘Acala Maxxa’ (GH) and G. barbadense L. ‘Pima S6’ (GB). A total of 297 BCF and BCF progeny rows—127 segregating for GB chromosome segments in GH background and 170 segregating for GH chromosome segments in GB background—were evaluated in three environments. Totals of 3186 and 3026 polymorphic single-nucleotide polymorphisms (SNPs) in GH and GB backgrounds, respectively, were identified and used for trait mapping. Small-effect QTL (

Background Cultivated peanut (Arachis hypogaea) is an allotetraploid species whose ancestral genomes are most likely derived from the A-genome species, A. duranensis, and the B-genome species, A. ipaensis. The very recent (several millennia) evolutionary origin of A. hypogaea has imposed a bottleneck for allelic and phenotypic diversity within the cultigen. However, wild diploid relatives are a rich source of alleles that could be used for crop improvement and their simpler genomes can be more easily analyzed while providing insight into the structure of the allotetraploid peanut genome. The objective of this research was to establish a high-density genetic map of the diploid species A. duranensis based on de novo generated EST databases. Arachis duranensis was chosen for mapping because it is the A-genome progenitor of cultivated peanut and also in order to circumvent the confounding effects of gene duplication associated with allopolyploidy in A. hypogaea. Results More than one million expressed sequence tag (EST) sequences generated from normalized cDNA libraries of A. duranensis were assembled into 81,116 unique transcripts. Mining this dataset, 1236 EST-SNP markers were developed between two A. duranensis accessions, PI 475887 and Grif 15036. An additional 300 SNP markers also were developed from genomic sequences representing conserved legume orthologs. Of the 1536 SNP markers, 1054 were placed on a genetic map. In addition, 598 EST-SSR markers identified in A. hypogaea assemblies were included in the map along with 37 disease resistance gene candidate (RGC) and 35 other previously published markers. In total, 1724 markers spanning 1081.3 cM over 10 linkage groups were mapped. Gene sequences that provided mapped markers were annotated using similarity searches in three different databases, and gene ontology descriptions were determined using the Medicago Gene Atlas and TAIR databases. Synteny analysis between A. duranensis, Medicago and Glycine revealed significant stretches of conserved gene clusters spread across the peanut genome. A higher level of colinearity was detected between A. duranensis and Glycine than with Medicago. Conclusions The first high-density, gene-based linkage map for A. duranensis was generated that can serve as a reference map for both wild and cultivated Arachis species. The markers developed here are valuable resources for the peanut, and more broadly, to the legume research community. The A-genome map will have utility for fine mapping in other peanut species and has already had application for mapping a nematode resistance gene that was introgressed into A. hypogaea from A. cardenasii.

Background Cultivated peanut or groundnut (Arachis hypogaea L.) is an important oilseed crop with an allotetraploid genome (AABB, 2n = 4x = 40). Both the low level of genetic variation within the cultivated gene pool and its polyploid nature limit the utilization of molecular markers to explore genome structure and facilitate genetic improvement. Nevertheless, a wealth of genetic diversity exists in diploid Arachis species (2n = 2x = 20), which represent a valuable gene pool for cultivated peanut improvement. Interspecific populations have been used widely for genetic mapping in diploid species of Arachis. However, an intraspecific mapping strategy was essential to detect chromosomal rearrangements among species that could be obscured by mapping in interspecific populations. To develop intraspecific reference linkage maps and gain insights into karyotypic evolution within the genus, we comparatively mapped the A- and B-genome diploid species using intraspecific F2 populations. Exploring genome organization among diploid peanut species by comparative mapping will enhance our understanding of the cultivated tetraploid peanut genome. Moreover, new sources of molecular markers that are highly transferable between species and developed from expressed genes will be required to construct saturated genetic maps for peanut. Results A total of 2,138 EST-SSR (expressed sequence tag-simple sequence repeat) markers were developed by mining a tetraploid peanut EST assembly including 101,132 unigenes (37,916 contigs and 63,216 singletons) derived from 70,771 long-read (Sanger) and 270,957 short-read (454) sequences. A set of 97 SSR markers were also developed by mining 9,517 genomic survey sequences of Arachis. An SSR-based intraspecific linkage map was constructed using an F2 population derived from a cross between K 9484 (PI 298639) and GKBSPSc 30081 (PI 468327) in the B-genome species A. batizocoi. A high degree of macrosynteny was observed when comparing the homoeologous linkage groups between A (A. duranensis) and B (A. batizocoi) genomes. Comparison of the A- and B-genome genetic linkage maps also showed a total of five inversions and one major reciprocal translocation between two pairs of chromosomes under our current mapping resolution. Conclusions Our findings will contribute to understanding tetraploid peanut genome origin and evolution and eventually promote its genetic improvement. The newly developed EST-SSR markers will enrich current molecular marker resources in peanut.