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    Transcriptional signatures modulating shoot apical meristem morphometric and plant architectural traits enhance yield and productivity in chickpea
    (John Wiley & Sons, 2019) Narnoliya, Laxmi; Basu, Udita; Bajaj, Deepak; Malik, Naveen; Thakro, Virevol; Daware, Anurag; Sharma, Akash; Tripathi, Shailesh; Hegde, V.S.; Upadhyaya, Hari D.; Singh, Ashok K.; Tyagi, Akhilesh K.; Parida, Swarup K.
    Plant height (PH) and plant width (PW), two of the major plant architectural traits determining the yield and productivity of a crop, are defined by diverse morphometric characteristics of the shoot apical meristem (SAM). The identification of potential molecular tags from a single gene that simultaneously modulates these plant/SAM architectural traits is thus prerequisite to achieve enhanced yield and productivity in crop plants, including chickpea. Large‐scale multi‐environment phenotyping of the association panel and mapping population have ascertained the efficacy of three vital SAM morphometric trait parameters, SAM width, SAM height and SAM area, as key indicators to unravel the genetic basis of the wide PW and PH trait variations observed in desi chickpea. The present study integrated a genome‐wide association study (GWAS); QTL/fine‐mapping and map‐based cloning with molecular haplotyping; transcript profiling; and protein‐DNA interaction assays for the dissection of plant architectural traits in chickpea. These exertions delineated natural alleles and superior haplotypes from a CabHLH121 transcription factor (TF) gene within the major QTLs governing PW, PH and SAM morphometric traits. A genome‐wide protein‐DNA interaction assay assured the direct binding of a known stem cell master regulator, CaWUS, to the WOX‐homeodomain TF binding sites of a CabHLH121 gene and its constituted haplotypes. The differential expression of CaWUS and transcriptional regulation of its target CabHLH121 gene/haplotypes were apparent, suggesting their collective role in altering SAM morphometric characteristics and plant architectural traits in the contrasting near isogenic lines (NILs). The NILs introgressed with a superior haplotype of a CabHLH121 exhibited optimal PW and desirable PH as well as enhanced yield and productivity without compromising any component of agronomic performance. These molecular signatures of the CabHLH121 TF gene have the potential to regulate both PW and PH traits through the modulation of proliferation, differentiation and maintenance of the meristematic stem cell population in the SAM; therefore, these signatures will be useful in the translational genomic study of chickpea genetic enhancement. The restructured cultivars with desirable PH (semi‐dwarf) and PW will ensure maximal planting density in a specified cultivable field area, thereby enhancing the overall yield and productivity of chickpea. This can essentially facilitate the achievement of better remunerative outputs by farmers with rational land use, thus ensuring global food security in the present scenario of an increasing population density and shrinking per capita land area.
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    Eco TILLING-based association mapping efficiently delineates functionally relevant natural allelic variants of candidate genes governing agronomic traits in chickpea
    (Frontiers Media S.A., 2016) Bajaj, Deepak; Srivastava, Rishi; Nath, Manoj; Tripathi, Shailesh; Bharadwaj, Chellapilla; Upadhyaya, Hari D.; Tyagi, Akhilesh K.; Parida, Swarup K.
    The large-scale mining and high-throughput genotyping of novel gene-based allelic variants in natural mapping population are essential for association mapping to identify functionally relevant molecular tags governing useful agronomic traits in chickpea. The present study employs an alternative time-saving, non-laborious and economical pool-based EcoTILLING approach coupled with agarose gel detection assay to discover 1133 novel SNP allelic variants from diverse coding and regulatory sequence components of 1133 transcription factor (TF) genes by genotyping in 192 diverse desi and kabuli chickpea accessions constituting a seed weight association panel. Integrating these SNP genotyping data with seed weight field phenotypic information of 192 structured association panel identified eight SNP alleles in the eight TF genes regulating seed weight of chickpea. The associated individual and combination of all SNPs explained 10-15 and 31% phenotypic variation for seed weight, respectively. The EcoTILLING-based large-scale allele mining and genotyping strategy implemented for association mapping is found much effective for a diploid genome crop species like chickpea with narrow genetic base and low genetic polymorphism. This optimized approach thus can be deployed for various genomics-assisted breeding applications with optimal expense of resources in domesticated chickpea. The seed weight-associated natural allelic variants and candidate TF genes delineated have potential to accelerate marker-assisted genetic improvement of chickpea.
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    Genome-wide conserved non-coding microsatellite (CNMS) marker-based integrative genetical genomics for quantitative dissection of seed weight in chickpea
    (Oxford University Press, 2015) Bajaj, Deepak; Saxena, Maneesha S.; Kujur, Alice; Das, Shouvik; Badoni, Saurabh; Tripathi, Shailesh; Upadhyaya, Hari D.; Gowda, C. L. L.; Sharma, Shivali; Singh, Sube; Tyagi, Akhilesh K.; Parida, Swarup K.
    Phylogenetic footprinting identified 666 genome-wide paralogous and orthologous CNMS (conserved non-coding microsatellite) markers from 5′-untranslated and regulatory regions (URRs) of 603 protein-coding chickpea genes. The (CT)n and (GA)n CNMS carrying CTRMCAMV35S and GAGA8BKN3 regulatory elements, respectively, are abundant in the chickpea genome. The mapped genic CNMS markers with robust amplification efficiencies (94.7%) detected higher intraspecific polymorphic potential (37.6%) among genotypes, implying their immense utility in chickpea breeding and genetic analyses. Seventeen differentially expressed CNMS marker-associated genes showing strong preferential and seed tissue/developmental stage-specific expression in contrasting genotypes were selected to narrow down the gene targets underlying seed weight quantitative trait loci (QTLs)/eQTLs (expression QTLs) through integrative genetical genomics. The integration of transcript profiling with seed weight QTL/eQTL mapping, molecular haplotyping, and association analyses identified potential molecular tags (GAGA8BKN3 and RAV1AAT regulatory elements and alleles/haplotypes) in the LOB-domain-containing protein- and KANADI protein-encoding transcription factor genes controlling the cis-regulated expression for seed weight in the chickpea. This emphasizes the potential of CNMS marker-based integrative genetical genomics for the quantitative genetic dissection of complex seed weight in chickpea.
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    An integrated genomic approach for rapid delineation of candidate genes regulating agro-morphological traits in chickpea
    (Oxford University Press, 2014) Saxena, Maneesha S.; Bajaj, Deepak; Das, Shouvik; Kujur, Alice; Kumar, Vinod; Singh, Mohar; Bansal, Kailash C.; Tyagi, Akhilesh K.; Parida, Swarup K.
    The identification and fine mapping of robust quantitative trait loci (QTLs)/genes governing important agro-morphological traits in chickpea still lacks systematic efforts at a genome-wide scale involving wild Cicer accessions. In this context, an 834 simple sequence repeat and single-nucleotide polymorphism marker-based high-density genetic linkage map between cultivated and wild parental accessions (Cicer arietinum desi cv. ICC 4958 and Cicer reticulatum wild cv. ICC 17160) was constructed. This inter-specific genetic map comprising eight linkage groups spanned a map length of 949.4 cM with an average inter-marker distance of 1.14 cM. Eleven novel major genomic regions harbouring 15 robust QTLs (15.6–39.8% R2 at 4.2–15.7 logarithm of odds) associated with four agro-morphological traits (100-seed weight, pod and branch number/plant and plant hairiness) were identified and mapped on chickpea chromosomes. Most of these QTLs showed positive additive gene effects with effective allelic contribution from ICC 4958, particularly for increasing seed weight (SW) and pod and branch number. One robust SW-influencing major QTL region (qSW4.2) has been narrowed down by combining QTL mapping with high-resolution QTL region-specific association analysis, differential expression profiling and gene haplotype-based association/LD mapping. This enabled to delineate a strong SW-regulating ABI3VP1 transcription factor (TF) gene at trait-specific QTL interval and consequently identified favourable natural allelic variants and superior high seed weight-specific haplotypes in the upstream regulatory region of this gene showing increased transcript expression during seed development. The genes (TFs) harbouring diverse trait-regulating QTLs, once validated and fine-mapped by our developed rapid integrated genomic approach and through gene/QTL map-based cloning, can be utilized as potential candidates for marker-assisted genetic enhancement of chickpea.
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    Functionally relevant microsatellite markers from chickpea transcription factor genes for efficient genotyping applications and trait association mapping
    (Oxford University Press, 2013) Kujur, Alice; Bajaj, Deepak; Saxena, Maneesha S.; Tripathi, Shailesh; Upadhyaya, Hari D.; Gowda, C.L.L.; Singh, Sube; Jain, Mukesh; Tyagi, Akhilesh K.; Parida, Swarup K.
    We developed 1108 transcription factor gene-derived microsatellite (TFGMS) and 161 transcription factor functional domain-associated microsatellite (TFFDMS) markers from 707 TFs of chickpea. The robust amplification efficiency (96.5%) and high intra-specific polymorphic potential (34%) detected by markers suggest their immense utilities in efficient large-scale genotyping applications, including construction of both physical and functional transcript maps and understanding population structure. Candidate gene-based association analysis revealed strong genetic association of TFFDMS markers with three major seed and pod traits. Further, TFGMS markers in the 5' untranslated regions of TF genes showing differential expression during seed development had higher trait association potential. The significance of TFFDMS markers was demonstrated by correlating their allelic variation with amino acid sequence expansion/contraction in the functional domain and alteration of secondary protein structure encoded by genes. The seed weight-associated markers were validated through traditional bi-parental genetic mapping. The determination of gene-specific linkage disequilibrium (LD) patterns in desi and kabuli based on single nucleotide polymorphism-microsatellite marker haplotypes revealed extended LD decay, enhanced LD resolution and trait association potential of genes. The evolutionary history of a strong seed-size/weight-associated TF based on natural variation and haplotype sharing among desi, kabuli and wild unravelled useful information having implication for seed-size trait evolution during chickpea domestication.
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    Transcription factors regulating the progression of monocot and dicot seed development
    (Wiley-Blackwell, 2011) Agarwal, Pinky; Kapoor, Sanjay; Tyagi, Akhilesh K.
    Seed development in this paper has been classified into the three landmark stages of cell division, organ initiation and maturation, based on morphological changes, and the available literature. The entire process proceeds at the behest of an interplay of various specific and general transcription factors (TFs). Monocots and dicots utilize overlapping, as well as distinct, TF networks during the process of seed development. The known TFs in rice and Arabidopsis have been chronologically categorized into the three stages. The main regulators of seed development contain B3 or HAP3 domains. These interact with bZIP and AP2 TFs. Other TFs that play an indispensable role during the process contain homeobox-, NAC-, MYB-, or ARF-domains. This paper is a comprehensive analysis of the TFs essential for seed development and their interactions. An understanding of this interplay will not only help unravel an integrated developmental process, but will also pave the way for biotechnological applications.
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    Comparative transcript profiling of TCP family genes provide insight into gene functions and diversification in rice and Arabidopsis
    (Academy Journals, 2010) Sharma, Rita; Kapoor, Meenu; Tyagi, Akhilesh K.; Kapoor, Sanjay
    Plant-specific TCP transcription factor family has been implicated in diverse aspects of growth and development. Rice and Arabidopsis genomes encode 26 and 24 TCP family genes, respectively. In this study, we have performed an inclusive analysis of their expression during 21 and 18 stages of development in rice and Arabidopsis, respectively. The assorted patterns of expression, exhibited by TCP family genes, provide an evidence for spatiotemporal regulation of their relative abundance throughout plant development. Further profiling of rice genes in three sub-stages of early panicle development revealed differential accumulation of nine genes during panicle initiation and organ development. QPCR-based expression profiling of selected rice genes, during four stages of anther, suggested their involvement in early anther development as well. Eleven genes of rice and seven of Arabidopsis were differentially expressed in response to three abiotic stress treatments viz., cold, dehydration and salt. In silico analysis of 5' regulatory regions of differentially expressed genes revealed the presence of previously characterized cis-regulatory elements. Duplications seem to have played major role in diversification of TCP family genes with 14 genes of rice and 10 of Arabidopsis lying on duplicated segments of the respective genomes. Most of the duplicated genes exhibited varied expression patterns. The knowledge obtained in this study will be useful for selection and assessment of the functions of individual genes using reverse genetics approaches.