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The genus Rosa is one of the most important genera of ornamental plants comprising of more than 120 species of which only eight were involved in the development of modern roses. Proper characterization and identification of the species require an accurate and reliable method that discriminates the different species. In the present study, 56 Simple Sequence Repeat (SSR) markers were used to identify and discriminate the 21 cultivated and four wild species of rose. Among the 56 SSR markers, 24 exhibited polymorphism giving a total of 47 alleles across the 28 rose species. The number of alleles ranged from 1 to 3 per marker locus with an average of 1.42. The polymorphism information content for 24 SSR markers ranged from 0.102 (Rw5G14) to 0.87 (Rw60A16) with an average of 0.365. Maximum dissimilarity was observed between R. tomentosa and R. slancensis with similarity coefficient of 0.33. In UPGMA based clustering, R. brunonii was placed along with R. dumalis and similarly R. tomentosa and R. damascena cv. Jwala were placed together, though, they were placed distinctly but on the same coordinates by the principal component analysis. The higher degree of similarity between R. brunonii and R. dumalis was supported by both molecular and morpholgical data while that of between R. macrophylla and R. hybrida cv. Rose Sherbet and wild species as shown in the present study could not be supported by the morphological data based on Distinctness, Uniformity and Stability descriptors. Hence, Simple Sequence Repeat markers proved useful in identifying and assessing genetic relationships among cultivated species of rose, whereas, wild species need more robust dataset with still higher number of markers.

Mango (Mangifera indica L.) is one of the most important commercial fruit crop grown in many parts of the world. Major challenges affecting mango trade are short shelf-life, high susceptibility to chilling injury, post-harvest diseases and consumer demand for improved fruit quality. The objective of the present study was to reveal the key regulators present in bud and flower tissues during flower development stage, associated with fruit development and affect the shelf-life of the mango fruit. RNA-sequencing of contrasting genotypes having short and long shelf-life, was carried out. Comparative differential expression pathway studies of long shelf-life (Totapuri) and short shelf-life (Bombay Green) mango genotypes revealed a total of 177 highly differentially expressed genes. Out of 177 total genes, 101 genes from endoplasmic reticulum pathway and very few from gibberellins (3) and jasmonic acid (1) pathway were identified. Genes from endoplasmic reticulum pathway like hsp 90, SRC2, DFRA, CHS, BG3 and ASPG1 mainly up regulated in Bombay Green. Uniprotein B9R8D3 also shows up regulation in Bombay Green. Ethylene insensitive pathway gene EIL1 up regulated in Bombay Green. Gene CAD1 from phenylpropanoid pathway mainly up regulated in Bombay Green. A total of 4 SSRs and 227 SNPs were mined from these pathways specific to the shelf-life. Molecular studies of endoplasmic reticulum, phenylpropanoid, ethylene, polygalacturonase and hormone pathways at the time of bud and flower formation revealed key regulators that determine the shelf-life of mango fruit.

A wealth of microarray and RNA-seq data for studying abiotic stress tolerance in rice exists but only limited studies have been carried out on multiple stress-tolerance responses and mechanisms. In this study, we identified 6657 abiotic stress-responsive genes pertaining to drought, salinity and heat stresses from the seedling stage microarray data of 83 samples and used them to perform unweighted network analysis and to identify key hub genes or master regulators for multiple abiotic stress tolerance. Of the total 55 modules identified from the analysis, the top 10 modules with 8–61 nodes comprised 239 genes. From these 10 modules, 10 genes common to all the three stresses were selected. Further, based on the centrality properties and highly dense interactions, we identified 7 intra-modular hub genes leading to a total of 17 potential candidate genes. Out of these 17 genes, 15 were validated by expression analysis using a panel of 4 test genotypes and a pair of standard check genotypes for each abiotic stress response. Interestingly, all the 15 genes showed upregulation under all stresses and in all the genotypes, suggesting that they could be representing some of the core abiotic stress-responsive genes. More pertinently, eight of the genes were found to be co-localized with the stress-tolerance QTL regions. Thus, in conclusion, our study not only provided an effective approach for studying abiotic stress tolerance in rice, but also identified major candidate genes which could be further validated by functional genomics for abiotic stress tolerance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-022-03182-7.

Water use efficiency (WUE) is an important physiological trait that has potential in sustaining crop productivity under water-limited condition. WUE can be increased by improving carbon gain and/or reducing transpiration. Normally, carbon gain and transpiration are inter-related and hence a trade-off exists between transpiration and WUE. Therefore, factors that influence these traits and their inter-relationship need to be identified and characterised. Here we report that leaf mass area (LMA) has one such trait that regulate WUE by influencing carbon gain. Extensive screening of EMS induced mutant population of Nagina-22 (N22) led to identification of contrasting LMA mutants. The high LMA mutant with 27% higher LMA (5.10 mg cm−2) than N22, and a low LMA mutant (4.00 mg cm−2) with comparable canopy leaf area and root weight were selected to study the influence of stomatal density and size on cumulative water transpired (CWT) and WUE under two soil moisture conditions (100% FC and 50% FC). The high LMA mutant, had higher stomatal density leading to increased CWT. But, a reduction in stomatal size on both abaxial and adaxial surfaces under water-limited conditions did not influence CWT. Increased photosynthetic efficiency due to higher leaf thickness led to higher carbon gain and hence higher WUE. The results indicate that improving carbon assimilation through higher LMA would significantly circumvent the trade-off between water loss and biomass accumulation leading to higher WUE. Thus, high chloroplast capacity types would have higher WUE despite relatively high water use.

Saving water and enhancing rice productivity are consensually the most important research goals globally. While increasing canopy cover would enhance growth rates by higher photosynthetic carbon gain, an accompanied increase in transpiration would have a negative impact on saving water as well as for sustainability under water-limited conditions. Increased water use efficiency (WUE) by virtue of higher carbon assimilatory capacity can significantly circumvent this trade-off. Here, we report leaf mass area (LMA) has an important canopy architecture trait which when combined with superior carboxylation efficiency (CE) would achieve higher water productivity in rice. A set of 130 ethyl methanesulfonate induced mutants of an upland cultivar Nagina-22 (N22), was screened for leaf morphological traits leading to the identification of mutants differing in LMA. The wild-type, N22, along with a selected low-LMA (380-4-3) and two high-LMA mutants (392-9-1 and 457-1-3), all with comparable total leaf area, were raised under well-watered (100% Field Capacity (FC)) and water-limited (60% FC) conditions. Low Δ13 C and a higher RuBisCO content in high-LMA mutants indicated higher carboxylation efficiency, leading to increased carbon gain. Single parent backcross populations developed by crossing high and the low-LMA mutants with N22, separately, were screened for LMA, Δ13 C and growth traits. Comparison of dry matter accumulation per unit leaf area among the progenies differing in LMA and Δ13 C reiterated the association of LMA with CE. Results illustrated that high-LMA when combined with higher CE (low Δ13 C) lead to increased WUE and growth rates.

Domain of Unknown Function 740 (DUF740) is a gene family that has not been functionally elucidated in rice, until now. We investigated the function of rice DUF740 gene family member, LOC_Os04g59420 ( OsSRDP-OryzasativaStress Responsive DUF740 Protein) which showed upregulation in response to drought stress in the available global expression data. Transgenic plants of OsSRDP gene, driven by a stress-inducible promoter AtRd29A, were developed in the background of a drought stress sensitive rice cv. Pusa Sugandh 2 (PS2) and their transgene integration and copy number were confirmed by molecular analysis. Homozygous transformants showed better resilience than PS2 when subjected to drought, salinity and cold stresses but not heat stress. Transgenic plants maintained higher RWC, photosynthetic pigments and proline accumulation under drought and salinity stresses. Further, they exhibited less accumulation of reactive oxygen species (ROS) than PS2 under drought stress as seen from the transcript abundance studies of the ROS genes. Under cold stress, OsSRDP transgenic lines illustrated minimal cell membrane injury than PS2. Additionally, the transgenic plants showed resistance to virulent strain of rice blast fungus Magnaporthe oryzae. Altogether, our findings established that stress-inducible expression of OsSRDP can significantly enhance tolerance to multiple abiotic stresses and a biotic stress.

Panicle blast is the most severe type of rice blast disease. Screening of rice genotypes for panicle blast resistance at the field level requires an efficient and robust method of inoculation. Here, we standardized a method that can be utilized for both small- and large-scale screening and assessment of panicle blast infection and disease reaction. The method involves inoculation of Magnaporthe oryzae spore culture in the neck of the rice panicle using a syringe and covering the inoculation site with wet cotton wrapped with aluminum foil to provide the required humidity for spore germination. The method was standardized using panicle blast-resistant cv. Tetep and susceptible cv. HP2216 inoculated with Mo-ni-025 isolate of M. oryzae. The method was evaluated at phenotypic as well as molecular level by expression analysis of disease responsive pathogenesis-related (PR) genes. We found this method simple, robust, reliable, and highly efficient for screening of large germplasm sets of rice for panicle blast. This was validated by screening the wild rice germplasm for panicle blast response in the field using three M. oryzae strains and subsequently with the most virulent strain in 45 EMS-induced mutants of Nagina 22 shortlisted based on field screening in a blast hotspot region. We identified five novel blast disease-resistant wild rice genotypes and 15 Nagina 22 mutants that can be used in breeding programmes.

We report here the genome-wide changes resulting from low N (N-W+), low water (N+W-)) and dual stresses (N-W-) in root and shoot tissues of two rice genotypes, namely, IR 64 (IR64) and Nagina 22 (N22), and their association with the QTLs for nitrogen use efficiency. For all the root parameters, except for root length under N-W+, N22 performed better than IR64. Chlorophyll a, b and carotenoid content were higher in IR64 under N+W+ treatment and N-W+ and N+W- stresses; however, under dual stress, N22 had higher chlorophyll b content. While nitrite reductase, glutamate synthase (GS) and citrate synthase assays showed better specific activity in IR64, glutamate dehydrogenase showed better specific activity in N22 under dual stress (N-W-); the other N and C assimilating enzymes showed similar but low specific activities in both the genotypes. A total of 8926 differentially expressed genes (DEGs) were identified compared to optimal (N+W+) condition from across all treatments. While 1174, 698 and 903 DEGs in IR64 roots and 1197, 187 and 781 in N22 roots were identified, nearly double the number of DEGs were found in the shoot tissues; 3357, 1006 and 4005 in IR64 and 4004, 990 and 2143 in N22, under N-W+, N+W- and N-W- treatments, respectively. IR64 and N22 showed differential expression in 15 and 11 N-transporter genes respectively, under one or more stress treatments, out of which four showed differential expression also in N+W- condition. The negative regulators of N- stress, e.g., NIGT1, OsACTPK1 and OsBT were downregulated in IR64 while in N22, OsBT was not downregulated. Overall, N22 performed better under dual stress conditions owing to its better root architecture, chlorophyll and porphyrin synthesis and oxidative stress management. We identified 12 QTLs for seed and straw N content using 253 recombinant inbred lines derived from IR64 and N22 and a 5K SNP array. The QTL hotspot region on chromosome 6 comprised of 61 genes, of which, five were DEGs encoding for UDP-glucuronosyltransferase, serine threonine kinase, anthocyanidin 3-O-glucosyltransferase, and nitrate induced proteins. The DEGs, QTLs and candidate genes reported in this study can serve as a major resource for both rice improvement and functional biology.

Pigeonpea, a tropical photosensitive crop, harbors significant diversity for days to flowering, but little is known about the genes that govern these differences. Our goal in the current study was to use genome wide association strategy to discover the loci that regulate days to flowering in pigeonpea. A single trait as well as a principal component based association study was conducted on a diverse collection of 142 pigeonpea lines for days to first and fifty percent of flowering over 3 years, besides plant height and number of seeds per pod. The analysis used seven association mapping models (GLM, MLM, MLMM, CMLM, EMLM, FarmCPU and SUPER) and further comparison revealed that FarmCPU is more robust in controlling both false positives and negatives as it incorporates multiple markers as covariates to eliminate confounding between testing marker and kinship. Cumulatively, a set of 22 SNPs were found to be associated with either days to first flowering (DOF), days to fifty percent flowering (DFF) or both, of which 15 were unique to trait based, 4 to PC based GWAS while 3 were shared by both. Because PC1 represents DOF, DFF and plant height (PH), four SNPs found associated to PC1 can be inferred as pleiotropic. A window of ± 2 kb of associated SNPs was aligned with available transcriptome data generated for transition from vegetative to reproductive phase in pigeonpea. Annotation analysis of these regions revealed presence of genes which might be involved in floral induction like Cytochrome p450 like Tata box binding protein, Auxin response factors, Pin like genes, F box protein, U box domain protein, chromatin remodelling complex protein, RNA methyltransferase. In summary, it appears that auxin responsive genes could be involved in regulating DOF and DFF as majority of the associated loci contained genes which are component of auxin signaling pathways in their vicinity. Overall, our findings indicates that the use of principal component analysis in GWAS is statistically more robust in terms of identifying genes and FarmCPU is a better choice compared to the other aforementioned models in dealing with both false positive and negative associations and thus can be used for traits with complex inheritance.

Deeper Rooting 1 (DRO1) gene identified from a major QTL on chromosome 9 increases the root growth angle (RGA) and thus facilitates survival under drought and hence is an excellent candidate for rice improvement. Twenty-four major Indian upland and lowland genotypes including the ‘yield under drought’ (DTY) QTL donors were subjected to allele mining of DRO1 (3058 bp) using four pairs of overlapping primers. A total of 216 and 52 SNPs were identified across all genotypes in the gene and coding region (756 bp) respectively with transversions 3.6 fold more common than transitions in the gene and 2.5 times in the CDS. In 251 amino acid long protein, substitutions were found in 19 positions, wherein change in position 92 was the most frequent. Based on allele mining, the 24 genotypes can be classified into 16 primary structure variants ranging from complete functional allele (Satti, IR36 and DTY 3.1 donor, IR81896-B-B-195) to truncated non-functional alleles in PMK2, IR64, IR20 and Swarna. All the DTY donors, other than IR81896-B-B-195, and most of the upland drought tolerant cultivars (Nagina 22, Vandana and Dhagaddeshi) had accumulated 6–19 SNPs and 4–8 amino acid substitutions resulting in substantial differences in their protein structure. The expression analysis revealed that all the genotypes showed upregulation under drought stress though the degree of upregulation varied among genotypes. The information on structural variations in DRO1 gene will be very useful for the breeders, especially in the light of recent breeding programmes on improving drought tolerance using several DTY donors and upland accessions. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s12298-021-00950-2).

Rice blast is a global threat to food security with up to 50% yield losses. Panicle blast is a more severe form of rice blast and the response of rice plant to leaf and panicle blast is distinct in different genotypes. To understand the specific response of rice in panicle blast, transcriptome analysis of blast resistant cultivar Tetep, and susceptible cultivar HP2216 was carried out using RNA-Seq approach after 48, 72 and 96 h of infection with Magnaporthe oryzae along with mock inoculation. Transcriptome data analysis of infected panicle tissues revealed that 3553 genes differentially expressed in HP2216 and 2491 genes in Tetep, which must be the responsible factor behind the differential disease response. The defense responsive genes are involved mainly in defense pathways namely, hormonal regulation, synthesis of reactive oxygen species, secondary metabolites and cell wall modification. The common differentially expressed genes in both the cultivars were defense responsive transcription factors, NBS-LRR genes, kinases, pathogenesis related genes and peroxidases. In Tetep, cell wall strengthening pathway represented by PMR5, dirigent, tubulin, cell wall proteins, chitinases, and proteases was found to be specifically enriched. Additionally, many novel genes having DOMON, VWF, and PCaP1 domains which are specific to cell membrane were highly expressed only in Tetep post infection, suggesting their role in panicle blast resistance. Thus, our study shows that panicle blast resistance is a complex phenomenon contributed by early defense response through ROS production and detoxification, MAPK and LRR signaling, accumulation of antimicrobial compounds and secondary metabolites, and cell wall strengthening to prevent the entry and spread of the fungi. The present investigation provided valuable candidate genes that can unravel the mechanisms of panicle blast resistance and help in the rice blast breeding program.

Galactomannan is a polymer of high economic importance and is extracted from the seed endosperm of clusterbean (C. tetragonoloba). In the present study, we worked to reveal the stage-specific galactomannan biosynthesis and its regulation in clusterbean. Combined electron microscopy and biochemical analysis revealed high protein and gum content in RGC-936, while high oil bodies and low gum content in M-83. A comparative transcriptome study was performed between RGC-936 (high gum) and M-83 (low gum) varieties at three developmental stages viz. 25, 39, and 50 days after flowering (DAF). Total 209,525, 375,595 and 255,401 unigenes were found at 25, 39 and 50 DAF respectively. Differentially expressed genes (DEGs) analysis indicated a total of 5147 shared unigenes between the two genotypes. Overall expression levels of transcripts at 39DAF were higher than 50DAF and 25DAF. Besides, 691 (RGC-936) and 188 (M-83) candidate unigenes that encode for enzymes involved in the biosynthesis of galactomannan were identified and analyzed, and 15 key enzyme genes were experimentally validated by quantitative Real-Time PCR. Transcription factor (TF) WRKY was observed to be co-expressed with key genes of galactomannan biosynthesis at 39DAF. We conclude that WRKY might be a potential biotechnological target (subject to functional validation) for developing high gum content varieties.

MADS box genes are class of transcription factors involved in various physiological and developmental processes in plants. To understand their role in floral transition-related pathways, a genome-wide identification was done in Cajanus cajan, identifying 102 members which were classified into two different groups based on their gene structure. The status of all these genes was further analyzed in three wild species i.e. C. scarabaeoides, C. platycarpus and C. cajanifolius which revealed absence of 31–34 MADS box genes in them hinting towards their role in domestication and evolution. We could locate only a single copy of both FLOWERING LOCUS C (FLC) and SHORT VEGETATIVE PHASE (SVP) genes, while three paralogs of SUPPRESSOR OF ACTIVATION OF CONSTANS 1 (SOC1) were found in C. cajan genome. One of those SOC1 paralogs i.e. CcMADS1.5 was found to be missing in all three wild relatives, also forming separate clade in phylogeny. This SOC1 gene was also lacking the characteristic MADS box domain in it. Expression profiling of major MADS box genes involved in flowering was done in different tissues viz shoot apical meristem, vegetative leaf, reproductive meristem, and reproductive bud. Gene-based time tree of FLC and SOC1 gene dictates their divergence from Arabidopsis before 71 and 23 million year ago (mya), respectively. This study provides valuable insights into the functional characteristics, expression pattern, and evolution of MADS box proteins in grain legumes with emphasis on C. cajan, which may help in further characterizing these genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-020-02605-7.

We report here the genome-wide changes resulting from low N (N-W+), low water (N+W-) and dual stresses (N-W-) in root and shoot tissues of two rice genotypes, namely, IR 64 (IR64) and Nagina 22 (N22), and their association with the QTLs for nitrogen use efficiency. For all the root parameters, except for root length under N-W+, N22 performed better than IR64. Chlorophyll a, b and carotenoid content were higher in IR64 under N+W+ treatment and N- and W- stresses; however, under dual stress, N22 had higher chlorophyll b content. While nitrite reductase, glutamate synthase (GS) and citrate synthase assays showed better specific activity in IR64, glutamate dehydrogenase showed better specific activity in N22 under dual stress; the other N and C assimilating enzymes showed similar but low specific activities in both the genotypes. A total of 8926 differentially expressed genes (DEGs) were identified compared to optimal (N+W+) condition from across all treatments. While 1174, 698 and 903 DEGs in IR64 roots and 1197, 187 and 781 in N22 roots were identified, nearly double the number of DEGs were found in the shoot tissues; 3357, 1006 and 4005 in IR64 and 4004, 990 and 2143 in N22, under N-W+, N+W- and N-W- treatments, respectively. IR64 and N22 showed differential expression in 15 and 11 N-transporter genes respectively, under one or more stress treatments, out of which four showed differential expression also in N+W- condition. The negative regulators of N- stress, e.g., NIGT1, OsACTPK1 and OsBT were downregulated in IR64 while in N22, OsBT was not downregulated. Overall, N22 performed better under dual stress conditions owing to its better root architecture, chlorophyll and porphyrin synthesis and oxidative stress management. We identified 12 QTLs for seed and straw N content using 253 recombinant inbred lines derived from IR64 and N22 and a 5K SNP array. Three QTLs co-localized on chromosome 6 spanning 417 Kbp and comprising of 31 genes, of which, five were DEGs including two UDP-glucuronosyl/UDP-glucosyltransferase family proteins. The DEGs, QTLs and candidate genes reported in this study can serve as a major resource for both rice improvement and functional biology.

Background Direct-seeded rice (DSR) is a potential technology for sustainable rice farming as it saves water and labor. However, higher incidence of weed under DSR limits productivity. Therefore, there is a need to develop herbicide tolerant (HT) rice varieties. Results We used marker assisted backcross breeding (MABB) to transfer a mutant allele of Acetohydroxy acid synthase (AHAS) gene, which confers tolerance to imidazolinone group of herbicides from the donor parent (DP) “Robin” into the genetic background of an elite popular Basmati rice variety, Pusa Basmati 1121 (PB 1121). Foreground selection was done using the AHAS gene linked Simple Sequence Repeat (SSR) marker RM6844 and background selection was performed using 112 genome-wide SSR markers polymorphic between PB 1121 and Robin. Phenotypic selection for agronomic, Basmati grain and cooking quality traits in each generation was carried out to improve the recovery of recurrent parent phenome (RPP). Finally, a set of 12 BC4F4 near isogenic lines (NILs), with recurrent parent genome (RPG) recovery ranging from 98.66 to 99.55% were developed and evaluated. PB 1121-HT NILs namely 1979-14-7-33-99-10, 1979-14-7-33-99-15 and 1979-14-7-33-99-66 were found superior to PB 1121 in yield with comparable grain and cooking quality traits and herbicide tolerance similar to Robin. Conclusion Overall, the present study reports successful development of HT NILs in the genetic background of popular Basmati rice variety, PB 1121 by introgression of mutated AHAS allele. This is the first report on the development of HT Basmati rice. Superior NILs are being evaluated in the national Basmati trials, the release of which is likely to provide a viable option for the adoption of DSR technology in Basmati rice cultivation.

With the advancement of sequencing technologies and improvement in data analysis tools, draft genomes of many organisms are readily available. Accessibility to such draft genome sequences assists researchers, especially, plant breeders, to rapidly identify genomic regions contributing to the observed phenotypic variation leading to identification of candidate genes for a particular trait. Traditionally gene mapping is a complex, time-consuming and costly affair requiring large mapping populations and abundant molecular markers spread across the entire linkage groups. With the emergence of re-sequencing techniques, quick mapping of genes has become possible with reduced time and cost by using approaches like SHOREmap, NGM and MutMap methodologies. Among these, MutMap is widely used because it is more focused on causal SNPs. This is made possible by generating a backcross population of the mutant genotype with the parent (wild type), thereby removing the false SNPs and retaining only the SNPs linked to the mutant phenotype. Improved and specialized methods of MutMap like MutMap+, MutMap-Gap, and QTL-Seq have also emerged to expand the horizon of application of MutMap approach. The Mutmap+ methodology is specially designed for capturing those traits where the homozygous mutant leads to either lethality or sterility. MutMap-Gap methodology identifies the mutation site present in the gap regions of the reference genome, whereas QTL-Seq is an improved version of MutMap, specially designed for mapping of quantitative trait loci (QTLs). All these methods are akin to bulked segregant analysis popularly employed for mapping simply inherited traits. These methods escape the requirement of genotyping all the individuals of the mapping population and generation of high-density linkage maps for mapping of the gene for the trait of interest. This article reviews various Next Generation Sequencing-based gene mapping technologies with more emphasis on MutMap and its modifications, and discusses their advantages and proven applications for gene mapping for subsequent crop improvement.

Analysis of rice microarray data indicated that a gene encoding for chalcone isomerase2 (OsCHI2) showed upregulation in response to abiotic stress. Hence, we isolated OsCHI2 from a popular drought tolerant upland rice variety Nagina22 and developed transgenic plants of a drought stress sensitive rice cv. Pusa Sugandh 2 expressing OsCHI2 under the control of stress inducible promoter AtRd29A and further studied their response to different abiotic stresses. Stable chromosomal integration of transgene was confirmed in the transgenic plants through PCR, Southern hybridization and expression analysis. Physio-biochemical studies revealed that the Rd29A::OsCHI2 transgenic rice plants upheld higher relative water content, more photosynthetic pigments and proline with lower relative electrolyte leakage and less malondialdehyde content as compared to WT plants under abiotic stresses. Quantitative RT-PCR analysis demonstrated that the expression level of the transgene in the OsCHI2 transgenic lines was higher than WT plants under stress conditions. Stress-inducible expression of OsCHI2 also enhanced transcript abundance of structural genes of flavonoids biosynthesis pathway leading to higher production of flavonoids under abiotic stresses in the transgenic plants. In brief, our results demonstrated that OsCHI2 is not only capable of modulating flavonoid metabolism but also can impart enhanced adaptation to different abiotic stresses other than heat stress.

Here, we present the draft genome (377.3 Mbp) of Corchorus olitorious cv. JRO-524 (Navin), which is a leading dark jute variety developed from a cross between African (cv. Sudan Green) and indigenous (cv. JRO-632) types. We predicted from the draft genome a total of 57,087 protein-coding genes with annotated functions. We identified a large number of 1765 disease resistance-like and defense response genes in the jute genome. The annotated genes showed the highest sequence similarities with that of Theobroma cacao followed by Gossypium raimondii. Seven chromosome-scale genetically anchored pseudomolecules were constructed with a total size of 8.53 Mbp and used for synteny analyses with the cocoa and cotton genomes. Like other plant species, gypsy and copia retrotransposons were the most abundant classes of repeat elements in jute. The raw data of our study are available in SRA database of NCBI with accession number SRX1506532. The genome sequence has been deposited at DDBJ/EMBL/GenBank under the accession LLWS00000000, and the version described in this paper will be the first version (LLWS01000000).

Rapid climate change has aggravated the incidence of abiotic stresses, mainly; drought, salinity, submergence/flood, and temperature stress across the globe. Hence, sustaining crop productivity and quality under such a scenario has become as important as developing high-yielding varieties across all crop breeding programs. Rice is one of the major food crops ensuring global food security, but is highly sensitive to drought stress followed by salinity, high temperature (heat), and submergence/flood stress. Aided by the availability of high-quality reference genome, knowledge explosion in genomics, cost-effective high-throughput genotyping platforms and identification of major genes and genomic regions for the major abiotic stresses, rice breeders have shifted their focus from enhancing yield to developing climate smart varieties. Reconstitution of elite varieties by introgressing one or more genes and quantitative trait loci (QTLs) imparting abiotic stress tolerance through trait-linked or functional markers is the most common way of varietal development in rice. This can be considered as a landmark achievement since rice is the first crop wherein precision breeding has been employed at a large scale for abiotic stress tolerance though the molecular mechanism of tolerance still remains unknown except for Sub1A and SKC1. This chapter provides details on recent developments in rice breeding programs around the globe for enhanced abiotic stress tolerance. The list of major QTLs identified is provided for heat tolerance where molecular breeding at a large scale is yet to see the light of the day. Marker assisted backcross breeding and marker assisted recurrent selection for transfer or pyramiding of identified QTL/genes to elite varieties are introduced briefly.

Nearly two decades of revolution in the area of genomics serves as the basis of present-day molecular breeding in major food crops such as rice. Here we report an open source database on two major biotic stresses of rice, named RiceMetaSysB, which provides detailed information about rice blast and bacterial blight (BB) responsive genes (RGs). Meta-analysis of microarray data from different blast- and BB-related experiments across 241 and 186 samples identified 15135 unique genes for blast and 7475 for BB. A total of 9365 and 5375 simple sequence repeats (SSRs) in blast and BB RGs were identified for marker development. Retrieval of candidate genes using different search options like genotypes, tissue, developmental stage of the host, strain, hours/days post-inoculation, physical position and SSR marker information is facilitated in the database. Search options like ‘common genes among varieties’ and ‘strains’ have been enabled to identify robust candidate genes. A 2D representation of the data can be used to compare expression profiles across genes, genotypes and strains. To demonstrate the utility of this database, we queried for blast-responsive WRKY genes (fold change ≥5) using their gene IDs. The structural variations in the 12 WRKY genes so identified and their promoter regions were explored in two rice genotypes contrasting for their reaction to blast infection. Expression analysis of these genes in panicle tissue infected with a virulent and an avirulent strain of Magnaporthe oryzae could identify WRKY7, WRKY58, WRKY62, WRKY64 and WRKY76 as potential candidate genes for resistance to panicle blast, as they showed higher expression only in the resistant genotype against the virulent strain. Thus, we demonstrated that RiceMetaSysB can play an important role in providing robust candidate genes for rice blast and BB.

Producing more food where it is consumed is a key strategy for addressing food security, and therefore, maintaining the stability and potential of rice grain yield under adverse environments is a major research area in crop improvement programs. Drought, salinity, and heat are the most detrimental abiotic stress factors to rice production worldwide. Several successful QTL (quantitative trait locus) mapping and introgression efforts have been carried out in the genetic background of high yielding varieties like IR64, IR72, Swarna, Way Rarem, Nipponbare, and IR29 from locally adapted and known tolerant cultivars like Nagina 22, Apo, DK 151, Pokkali, Nona Bokra, CSR27, Bala, and cultivar 996. Furthermore, with the advancements in big data analysis and bioinformatics, it is now possible to locate meta-QTLs and identify functional candidate genes underlying a QTL region with more confidence. This chapter provides a primer on the basics, methods, available software, and pre-requisites of QTL mapping. Practical considerations in QTL mapping for abiotic stress tolerance, details on developments in the use of QTLs in drought, salinity, and heat stress, and meta-QTLs for developing new varieties are also elaborated.

Understanding the molecular and physiological mechanisms of trait diversity is crucial for crop improvement to achieve drought adaptation. Root traits such as high biomass and/or deep rootedness are undoubtedly important drought adaptive traits. The major aim of this investigation was to functionally characterize a set of ethyl methane sulfonate-induced rice mutants for root traits. We report the identification of a high-root biomass mutant through a novel screening strategy for yield and Δ13 C measurements. The high-root mutant (392-9-1) thus identified, had a 66% higher root biomass compared to wild-type (Nagina-22). Better maintenance of leaf turgor and carbon assimilation rates resulted in lower drought susceptibility index in 392-9-1. Targeted resequencing revealed three non-synonymous single nucleotide variations in 392-9-1 for the genes HOX10, CITRATE SYNTHASE and ZEAXANTHIN EPOXIDASE. Segregation pattern of phenotype and mutant alleles in a single parent backcross F2 population revealed a typical 3:1 segregation for each of the mutant alleles. The number of F2 progeny with root biomass equal to or greater than that of 392-9-1 represented approximately one-third of the population indicating a major role played by HOX10 gene in regulating root growth in rice. Allele-specific Sanger sequencing in contrasting F2 progenies confirmed the co-segregation of HOX10 allele with the root biomass. The non-synonymous mutations in the other two genes did not reveal any specific pattern of co-segregation with root phenotype, indicating a strong role of HOX10, an upstream transcription factor, in regulating root biomass in rice.