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Nair RM, Chaudhari S, Devi N, Shivanna A, Gowda A, Boddepalli VN, Pradhan H, Schafleitner R, Jegadeesan S, Somta P. Genetics, genomics, and breeding of black gram [ Vigna mungo (L.) Hepper]. FRONTIERS IN PLANT SCIENCE 2024; 14:1273363. [PMID: 38288416 PMCID: PMC10822891 DOI: 10.3389/fpls.2023.1273363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 12/18/2023] [Indexed: 01/31/2024]
Abstract
Black gram [Vigna mungo (L.) Hepper] is a highly nutritious grain legume crop, mainly grown in South and Southeast Asia, with the largest area in India, where the crop is challenged by several biotic and abiotic stresses leading to significant yield losses. Improving genetic gains to increase on-farm yields is the primary goal of black gram breeding programs. This could be achieved by developing varieties resistant to major diseases like mungbean yellow mosaic disease, urdbean leaf crinkle virus, Cercospora leaf spot, anthracnose, powdery mildew, and insect pests such as whitefly, cowpea aphids, thrips, stem flies, and bruchids. Along with increasing on-farm yields, incorporating market-preferred traits ensures the adoption of improved varieties. Black gram breeding programs rely upon a limited number of parental lines, leading to a narrow genetic base of the developed varieties. For accelerating genetic gain, there is an urgent need to include more diverse genetic material for improving traits for better adaptability and stress resistance in breeding populations. The present review summarizes the importance of black gram, the major biotic and abiotic stresses, available genetic and genomic resources, major traits for potential crop improvement, their inheritance, and the breeding approaches being used in black gram for the development of new varieties.
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Verma SK, Singh CK, Taunk J, Gayacharan, Chandra Joshi D, Kalia S, Dey N, Singh AK. Vignette of Vigna domestication: From archives to genomics. Front Genet 2022; 13:960200. [PMID: 36338960 PMCID: PMC9634637 DOI: 10.3389/fgene.2022.960200] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/27/2022] [Indexed: 06/26/2024] Open
Abstract
The genus Vigna comprises fast-growing, diploid legumes, cultivated in tropical and subtropical parts of the world. It comprises more than 200 species among which Vigna angularis, Vigna radiata, Vigna mungo, Vigna aconitifolia, Vigna umbellata, Vigna unguiculata, and Vigna vexillata are of enormous agronomic importance. Human selection along with natural variability within these species encompasses a vital source for developing new varieties. The present review convokes the early domestication history of Vigna species based on archeological pieces of evidence and domestication-related traits (DRTs) together with genetics of domestication. Traces of early domestication of Vigna have been evidenced to spread across several temperate and tropical regions of Africa, Eastern Asia, and few parts of Europe. Several DRTs of Vigna species, such as pod shattering, pod and seed size, dormancy, seed coat, seed color, maturity, and pod dehiscence, can clearly differentiate wild species from their domesticates. With the advancement in next-generation high-throughput sequencing techniques, exploration of genetic variability using recently released reference genomes along with de novo sequencing of Vigna species have provided a framework to perform genome-wide association and functional studies to figure out different genes related to DRTs. In this review, genes and quantitative trait loci (QTLs) related to DRTs of different Vigna species have also been summarized. Information provided in this review will enhance the in-depth understanding of the selective pressures that causes crop domestication along with nature of evolutionary selection made in unexplored Vigna species. Furthermore, correlated archeological and domestication-related genetic evidence will facilitate Vigna species to be considered as suitable model plants.
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Affiliation(s)
| | | | - Jyoti Taunk
- Department of Biotechnology, University Centre for Research and Development, Chandigarh University, Mohali, Punjab, India
| | - Gayacharan
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Dinesh Chandra Joshi
- ICAR-Vivekananda Institute of Hill Agriculture (Vivekananda Parvatiya Krishi Anusandhan Sansthan), Uttarakhand, Almora, India
| | - Sanjay Kalia
- Department of Biotechnology, Ministry of Science and Technology, New Delhi, India
| | - Nrisingha Dey
- Institute of Life Sciences, Bhubaneswar, Odisha, India
| | - Amit Kumar Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
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Singh L, Dhillon GS, Kaur S, Dhaliwal SK, Kaur A, Malik P, Kumar A, Gill RK, Kaur S. Genome-wide Association Study for Yield and Yield-Related Traits in Diverse Blackgram Panel (Vigna mungo L. Hepper) Reveals Novel Putative Alleles for Future Breeding Programs. Front Genet 2022; 13:849016. [PMID: 35899191 PMCID: PMC9310006 DOI: 10.3389/fgene.2022.849016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022] Open
Abstract
Blackgram (Vigna mungo L. Hepper) is an important tropical and sub-tropical short-duration legume that is rich in dietary protein and micronutrients. Producing high-yielding blackgram varieties is hampered by insufficient genetic variability, absence of suitable ideotypes, low harvest index and susceptibility to biotic-abiotic stresses. Seed yield, a complex trait resulting from the expression and interaction of multiple genes, necessitates the evaluation of diverse germplasm for the identification of novel yield contributing traits. Henceforth, a panel of 100 blackgram genotypes was evaluated at two locations (Ludhiana and Gurdaspur) across two seasons (Spring 2019 and Spring 2020) for 14 different yield related traits. A wide range of variability, high broad-sense heritability and a high correlation of grain yield were observed for 12 out of 14 traits studied among all environments. Investigation of population structure in the panel using a set of 4,623 filtered SNPs led to identification of four sub-populations based on ad-hoc delta K and Cross entropy value. Using Farm CPU model and Mixed Linear Model algorithms, a total of 49 significant SNP associations representing 42 QTLs were identified. Allelic effects were found to be statistically significant at 37 out of 42 QTLs and 50 known candidate genes were identified in 24 of QTLs.
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Affiliation(s)
- Lovejit Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | | | - Sarabjit Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Sandeep Kaur Dhaliwal
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Amandeep Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Palvi Malik
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Ashok Kumar
- Regional Research Station, Punjab Agricultural University, Gurdaspur, India
| | - Ranjit Kaur Gill
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Satinder Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
- *Correspondence: Satinder Kaur,
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Novel and stable QTL regions conferring resistance to MYMV disease and its inheritance in blackgram (Vigna mungo (L.) Hepper). J Genet 2022. [DOI: 10.1007/s12041-022-01359-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Draft genome sequence of the pulse crop blackgram [Vigna mungo (L.) Hepper] reveals potential R-genes. Sci Rep 2021; 11:11247. [PMID: 34045617 PMCID: PMC8160138 DOI: 10.1038/s41598-021-90683-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 05/17/2021] [Indexed: 12/29/2022] Open
Abstract
Blackgram [Vigna mungo (L.) Hepper] (2n = 2x = 22), an important Asiatic legume crop, is a major source of dietary protein for the predominantly vegetarian population. Here we construct a draft genome sequence of blackgram, for the first time, by employing hybrid genome assembly with Illumina reads and third generation Oxford Nanopore sequencing technology. The final de novo whole genome of blackgram is ~ 475 Mb (82% of the genome) and has maximum scaffold length of 6.3 Mb with scaffold N50 of 1.42 Mb. Genome analysis identified 42,115 genes with mean coding sequence length of 1131 bp. Around 80.6% of predicted genes were annotated. Nearly half of the assembled sequence is composed of repetitive elements with retrotransposons as major (47.3% of genome) transposable elements, whereas, DNA transposons made up only 2.29% of the genome. A total of 166,014 SSRs, including 65,180 compound SSRs, were identified and primer pairs for 34,816 SSRs were designed. Out of the 33,959 proteins, 1659 proteins showed presence of R-gene related domains. KIN class was found in majority of the proteins (905) followed by RLK (239) and RLP (188). The genome sequence of blackgram will facilitate identification of agronomically important genes and accelerate the genetic improvement of blackgram.
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Sahu PK, Sao R, Mondal S, Vishwakarma G, Gupta SK, Kumar V, Singh S, Sharma D, Das BK. Next Generation Sequencing Based Forward Genetic Approaches for Identification and Mapping of Causal Mutations in Crop Plants: A Comprehensive Review. PLANTS 2020; 9:plants9101355. [PMID: 33066352 PMCID: PMC7602136 DOI: 10.3390/plants9101355] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/14/2020] [Accepted: 09/21/2020] [Indexed: 11/16/2022]
Abstract
The recent advancements in forward genetics have expanded the applications of mutation techniques in advanced genetics and genomics, ahead of direct use in breeding programs. The advent of next-generation sequencing (NGS) has enabled easy identification and mapping of causal mutations within a short period and at relatively low cost. Identifying the genetic mutations and genes that underlie phenotypic changes is essential for understanding a wide variety of biological functions. To accelerate the mutation mapping for crop improvement, several high-throughput and novel NGS based forward genetic approaches have been developed and applied in various crops. These techniques are highly efficient in crop plants, as it is relatively easy to grow and screen thousands of individuals. These approaches have improved the resolution in quantitative trait loci (QTL) position/point mutations and assisted in determining the functional causative variations in genes. To be successful in the interpretation of NGS data, bioinformatics computational methods are critical elements in delivering accurate assembly, alignment, and variant detection. Numerous bioinformatics tools/pipelines have been developed for such analysis. This article intends to review the recent advances in NGS based forward genetic approaches to identify and map the causal mutations in the crop genomes. The article also highlights the available bioinformatics tools/pipelines for reducing the complexity of NGS data and delivering the concluding outcomes.
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Affiliation(s)
- Parmeshwar K. Sahu
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur 492012, Chhattisgarh, India; (P.K.S.); (R.S.)
| | - Richa Sao
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur 492012, Chhattisgarh, India; (P.K.S.); (R.S.)
| | - Suvendu Mondal
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
| | - Gautam Vishwakarma
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
| | - Sudhir Kumar Gupta
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
| | - Vinay Kumar
- ICAR-National Institute of Biotic Stress Management, Baronda, Raipur 493225, Chhattisgarh, India;
| | - Sudhir Singh
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
| | - Deepak Sharma
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur 492012, Chhattisgarh, India; (P.K.S.); (R.S.)
- Correspondence: (D.S.); (B.K.D.)
| | - Bikram K. Das
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
- Correspondence: (D.S.); (B.K.D.)
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Breaks of macrosynteny and collinearity among moth bean (Vigna aconitifolia), cowpea (V. unguiculata), and common bean (Phaseolus vulgaris). Chromosome Res 2020; 28:293-306. [PMID: 32654079 DOI: 10.1007/s10577-020-09635-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/29/2020] [Accepted: 07/01/2020] [Indexed: 10/23/2022]
Abstract
Comparative cytogenetic mapping is a powerful approach to gain insights into genome organization of orphan crops, lacking a whole sequenced genome. To investigate the cytogenomic evolution of important Vigna and Phaseolus beans, we built a BAC-FISH (fluorescent in situ hybridization of bacterial artificial chromosome) map of Vigna aconitifolia (Vac, subgenus Ceratotropis), species with no sequenced genome, and compared with V. unguiculata (Vu, subgenus Vigna) and Phaseolus vulgaris (Pv) maps. Seventeen Pv BACs, eight Vu BACs, and 5S and 35S rDNA probes were hybridized in situ on the 11 Vac chromosome pairs. Five Vac chromosomes (Vac6, Vac7, Vac9, Vac10, and Vac11) showed conserved macrosynteny and collinearity between V. unguiculata and P. vulgaris. On the other hand, we observed collinearity breaks, identified by pericentric inversions involving Vac2 (Vu2), Vac4 (Vu4), and Vac3 (Pv3). We also detected macrosynteny breaks of translocation type involving chromosomes 1 and 8 of V. aconitifolia and P. vulgaris; 2 and 3 of V. aconitifolia and P. vulgaris; and 1 and 5 of V. aconitifolia and V. unguiculata. Considering our data and previous BAC-FISH studies, six chromosomes (1, 2, 3, 4, 5, and 8) are involved in major karyotype divergences between genera and five (1, 2, 3, 4, and 5) between Vigna subgenera, including mechanisms such as duplications, inversions, and translocations. Macrosynteny breaks between Vigna and Phaseolus suggest that the major chromosomal rearrangements have occurred within the Vigna clade. Our cytogenomic comparisons bring new light on the degree of shared macrosynteny and mechanisms of karyotype diversification during Vigna and Phaseolus evolution.
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Raizada A, Souframanien J. Transcriptome sequencing, de novo assembly, characterisation of wild accession of blackgram (Vigna mungo var. silvestris) as a rich resource for development of molecular markers and validation of SNPs by high resolution melting (HRM) analysis. BMC PLANT BIOLOGY 2019; 19:358. [PMID: 31419947 PMCID: PMC6697964 DOI: 10.1186/s12870-019-1954-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 07/31/2019] [Indexed: 05/07/2023]
Abstract
BACKGROUND Blackgram [Vigna mungo (L.) Hepper], is an important legume crop of Asia with limited genomic resources. We report a comprehensive set of genic simple sequence repeat (SSR) and single nucleotide polymorphism (SNPs) markers using Illumina MiSeq sequencing of transcriptome and its application in genetic variation analysis and mapping. RESULTS Transcriptome sequencing of immature seeds of wild blackgram, V. mungo var. silvestris by Illumina MiSeq technology generated 1.9 × 107 reads, which were assembled into 40,178 transcripts (TCS) with an average length of 446 bp covering 2.97 GB of the genome. A total of 38,753 CDS (Coding sequences) were predicted from 40,178 TCS and 28,984 CDS were annotated through BLASTX and mapped to GO and KEGG database resulting in 140 unique pathways. The tri-nucleotides were most abundant (39.9%) followed by di-nucleotide (30.2%). About 60.3 and 37.6% of SSR motifs were present in the coding sequences (CDS) and untranslated regions (UTRs) respectively. Among SNPs, the most abundant substitution type were transitions (Ts) (61%) followed by transversions (Tv) type (39%), with a Ts/Tv ratio of 1.58. A total of 2306 DEGs were identified by RNA Seq between wild and cultivar and validation was done by quantitative reverse transcription polymerase chain reaction. In this study, we genotyped SNPs with a validation rate of 78.87% by High Resolution Melting (HRM) Assay. CONCLUSION In the present study, 1621genic-SSR and 1844 SNP markers were developed from immature seed transcriptome sequence of blackgram and 31 genic-SSR markers were used to study genetic variations among different blackgram accessions. Above developed markers contribute towards enriching available genomic resources for blackgram and aid in breeding programmes.
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Affiliation(s)
- Avi Raizada
- Nuclear Agriculture and Biotechnology Division, BARC, Trombay, Mumbai, Trombay, 400085, India
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Anushakti Nagar, 400094, India
| | - J Souframanien
- Nuclear Agriculture and Biotechnology Division, BARC, Trombay, Mumbai, Trombay, 400085, India.
- Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, Anushakti Nagar, 400094, India.
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Development of an SNP-based high-density linkage map and QTL analysis for bruchid (Callosobruchus maculatus F.) resistance in black gram (Vigna mungo (L.) Hepper). Sci Rep 2019; 9:3930. [PMID: 30850726 PMCID: PMC6408486 DOI: 10.1038/s41598-019-40669-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 02/21/2019] [Indexed: 11/17/2022] Open
Abstract
Black gram (Vigna mungo var. mungo) is an important pulse crop in Asia. The cowpea weevil (Callosobruchus maculatus) is a stored-seed insect pest (seed weevil/bruchid) that causes serious postharvest losses in pulse crops, including black gram. In this study, we constructed a high-density linkage map for black gram and identified quantitative trait loci (QTLs) for C. maculatus resistance. A recombinant inbred line (RIL) population of 150 lines from a cross between BC48 [cultivated black gram (var. mungo); bruchid-susceptible] and TC2210 [wild black gram (var. silvestris); bruchid-resistant] were used to construct a linkage map of 3,675 SNP markers from specific-locus amplified fragment sequencing. The map comprised 11 linkage groups spanning 1,588.7 cM with an average distance between adjacent markers of 0.57 cM. Seeds of the RIL population grown in 2016 and 2017 were evaluated for C. maculatus resistance through two traits; the percentage of damaged seeds (PDS) and infestation severity progress (AUDPS). Inclusive composite interval mapping identified three QTLs each for PDS and AUDPS. Two QTLs, qVmunBr6.1 and qVmunBr6.2, mapped about 10 cM apart on linkage group 6 were common between PDS and AUDPS. Comparative genome analysis revealed that qVmunBr6.1 and qVmunBr6.2 are new loci for C. maculatus resistance in Vigna species and that genes encoding a lectin receptor kinase and chitinase are candidates for qVmunBr6.2. The high-density linkage map constructed and QTLs for bruchid resistance identified in this study will be useful for molecular breeding of black gram.
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Vishnyakova MA, Burlyaeva MO, Samsonova MG. Green gram and black gram: prospects of cultivation and breeding in Russian Federation. Vavilovskii Zhurnal Genet Selektsii 2019. [DOI: 10.18699/vj18.438] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Diversifcation of crop production in the Russian Federation could be partly achieved by the introduction and production of minor and underutilized crops. Green gram or mung bean (Vigna radiata(L.) R. Wilczek) and black gram or urd (V. mungo(L.) Hepper) are grain legume crops cultivated in limited areas in the Russian Federation. Meanwhile, green gram occupies about 8.5 % of the world production area under pulses (without soybean). It is cultivated mainly in countries of Southeast Asia, but production is expanding to the entire subtropical belt of the globe. In our country these crops can be successfully grown on irrigation in a number of regions in the southern area of the European part and the Russian Far East, where the temperatures during their vegetation are about 28–30 °C and always above 15 °C. The purpose of this paper is to summarize the world’s experience in breeding improvement of mung bean and urd as crops with promise for cultivation in certain soil and climatic zones of the Russian Federation. The world production, use of these high-protein crops, history and peculiarities of breeding, including in the USSR, are covered. To expand the production of both crops in the Russian Federation, their popularization and development of breeding are required. Basic requirements for modern varieties include resistance to biotic and abiotic stressors which can be introgressed from wild relatives. The great importance of both crops in the Asian countries led to the rapid development of molecular researches there. The genome of black gram has been fully sequenced, the genome of green gram has been partly sequenced. Some genes and QTL of adaptability traits have been marked and mapped in a number of wild species of the genusVigna. The role of wild relatives in the breeding of crops concerned is discussed. In the world genebanks, signifcant genetic resources of mung bean and urd have been accumulated. All this creates prerequisites for the development of marker-assistant and genomic breeding.
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Affiliation(s)
- M. A. Vishnyakova
- Federal Research Center the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR)
| | - M. O. Burlyaeva
- Federal Research Center the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR)
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Jasrotia RS, Yadav PK, Iquebal MA, Bhatt SB, Arora V, Angadi UB, Tomar RS, Jaiswal S, Rai A, Kumar D. VigSatDB: genome-wide microsatellite DNA marker database of three species of Vigna for germplasm characterization and improvement. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2019; 2019:5506750. [PMID: 31147679 PMCID: PMC6542692 DOI: 10.1093/database/baz055] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 03/20/2019] [Accepted: 04/05/2019] [Indexed: 11/25/2022]
Abstract
Genus Vigna represented by more than 100 species is a source of nutritious edible seeds and sprouts that are rich sources of protein and dietary supplements. It is further valuable because of therapeutic attributes due to its antioxidant and anti-diabetic properties. A highly diverse and an extremely ecological niche of different species can be valuable genomic resources for productivity enhancement. It is one of the most underutilized crops for food security and animal feeds. In spite of huge species diversity, only three species of Vigna have been sequenced; thus, there is a need for molecular markers for the remaining species. Computational approach of microsatellite marker discovery along with evaluation of polymorphism utilizing available genomic data of different genotypes can be a quick and an economical approach for genomic resource development. Cross-species transferability by e-PCR over available genomes can further prioritize the potential SSR markers, which could be used for genetic diversity and population differentiation of the remaining species saving cost and time. We present VigSatDB—the world’s first comprehensive microsatellite database of genus Vigna, containing >875 K putative microsatellite markers with 772 354 simple and 103 865 compound markers mined from six genome assemblies of three Vigna species, namely, Vigna radiata (Mung bean), Vigna angularis (Adzuki bean) and Vigna unguiculata (Cowpea). It also contains 1976 validated published markers. Markers can be selected on the basis of chromosomes/location specificity, and primers can be generated using Primer3core tool integrated at backend. Efficacy of VigSatDB for microsatellite loci genotyping has been evaluated by 15 markers over a panel of 10 diverse genotype of V. radiata. Our web genomic resources can be used in diversity analysis, population and varietal differentiation, discovery of quantitative trait loci/genes, marker-assisted varietal improvement in endeavor of Vigna crop productivity and management.
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Affiliation(s)
- Rahul Singh Jasrotia
- Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, Uttar Pradesh, India.,Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
| | - Pramod Kumar Yadav
- Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, Uttar Pradesh, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
| | - S B Bhatt
- Department of Biochemistry and Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - Vasu Arora
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
| | - U B Angadi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
| | - Rukam Singh Tomar
- Department of Biochemistry and Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India
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Jasrotia RS, Iquebal MA, Yadav PK, Kumar N, Jaiswal S, Angadi UB, Rai A, Kumar D. Development of transcriptome based web genomic resources of yellow mosaic disease in Vigna mungo. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2017; 23:767-777. [PMID: 29158627 PMCID: PMC5671452 DOI: 10.1007/s12298-017-0470-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 09/06/2017] [Accepted: 09/11/2017] [Indexed: 05/27/2023]
Abstract
Vigna mungo (Urdbean) is cultivated in the tropical and sub-tropical continental region of Asia. It is not only important source of dietary protein and nutritional elements, but also of immense value to human health due to medicinal properties. Yellow mosaic disease caused by Mungbean Yellow Mosaic India Virus is known to incur huge loss to crop, adversely affecting crop yield. Contrasting genotypes are ideal source for knowledge discovery of plant defence mechanism and associated candidate genes for varietal improvement. Whole genome sequence of this crop is yet to be completed. Moreover, genomic resources are also not freely accessible, thus available transcriptome data can be of immense use. V. mungo Transcriptome database, accessible at http://webtom.cabgrid.res.in/vmtdb/ has been developed using available data of two contrasting varieties viz., cv. VM84 (resistant) and cv. T9 (susceptible). De novo assembly was carried out using Trinity and CAP3. Out of total 240,945 unigenes, 165,894 (68.8%) showed similarity with known genes against NR database, and remaining 31.2% were found to be novel. We found 22,101 differentially expressed genes in all datasets, 44,335 putative genic SSR markers, 4105 SNPs and Indels, 64,964 transcriptional factor, 546 mature miRNA target prediction in 703 differentially expressed unigenes and 137 pathways. MAPK, salicylic acid-binding protein 2-like, pathogenesis-related protein and NBS-LRR domain were found which may play an important role in defence against pathogens. This is the first web genomic resource of V. mungo for future genome annotation as well as ready to use markers for future variety improvement program.
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Affiliation(s)
- Rahul Singh Jasrotia
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
- Department of Computational Biology & Bioinformatics, Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), Allahabad, 211007 India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
| | - Pramod Kumar Yadav
- Department of Computational Biology & Bioinformatics, Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), Allahabad, 211007 India
| | - Neeraj Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
| | - U. B. Angadi
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India
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Souframanien J, Reddy KS. De novo Assembly, Characterization of Immature Seed Transcriptome and Development of Genic-SSR Markers in Black Gram [Vigna mungo (L.) Hepper]. PLoS One 2015; 10:e0128748. [PMID: 26042595 PMCID: PMC4456365 DOI: 10.1371/journal.pone.0128748] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 05/01/2015] [Indexed: 12/02/2022] Open
Abstract
Black gram [V. mungo (L.) Hepper] is an important legume crop extensively grown in south and south-east Asia, where it is a major source of dietary protein for its predominantly vegetarian population. However, lack of genomic information and markers has become a limitation for genetic improvement of this crop. Here, we report the transcriptome sequencing of the immature seeds of black gram cv. TU94-2, by Illumina paired end sequencing technology to generate transcriptome sequences for gene discovery and genic-SSR marker development. A total of 17.2 million paired-end reads were generated and 48,291 transcript contigs (TCS) were assembled with an average length of 443 bp. Based on sequence similarity search, 33,766 TCS showed significant similarity to known proteins. Among these, only 29,564 TCS were annotated with gene ontology (GO) functional categories. A total number of 138 unique KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways were identified, of which majority of TCS are grouped into purine metabolism (678) followed by pyrimidine metabolism (263). A total of 48,291 TCS were searched for SSRs and 1,840 SSRs were identified in 1,572 TCS with an average frequency of one SSR per 11.9 kb. The tri-nucleotide repeats were most abundant (35%) followed by di-nucleotide repeats (32%). PCR primer pairs were successfully designed for 933 SSR loci. Sequences analyses indicate that about 64.4% and 35.6% of the SSR motifs were present in the coding sequences (CDS) and untranslated regions (UTRs) respectively. Tri-nucleotide repeats (57.3%) were preferentially present in the CDS. The rate of successful amplification and polymorphism were investigated using selected primers among 18 black gram accessions. Genic-SSR markers developed from the Illumina paired end sequencing of black gram immature seed transcriptome will provide a valuable resource for genetic diversity, evolution, linkage mapping, comparative genomics and marker-assisted selection in black gram.
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Affiliation(s)
- J. Souframanien
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai-400085, India
- * E-mail:
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Bohra A, Jha UC, Kishor PBK, Pandey S, Singh NP. Genomics and molecular breeding in lesser explored pulse crops: current trends and future opportunities. Biotechnol Adv 2014; 32:1410-28. [PMID: 25196916 DOI: 10.1016/j.biotechadv.2014.09.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Revised: 08/29/2014] [Accepted: 09/01/2014] [Indexed: 12/17/2022]
Abstract
Pulses are multipurpose crops for providing income, employment and food security in the underprivileged regions, notably the FAO-defined low-income food-deficit countries. Owing to their intrinsic ability to endure environmental adversities and the least input/management requirements, these crops remain central to subsistence farming. Given their pivotal role in rain-fed agriculture, substantial research has been invested to boost the productivity of these pulse crops. To this end, genomic tools and technologies have appeared as the compelling supplement to the conventional breeding. However, the progress in minor pulse crops including dry beans (Vigna spp.), lupins, lablab, lathyrus and vetches has remained unsatisfactory, hence these crops are often labeled as low profile or lesser researched. Nevertheless, recent scientific and technological breakthroughs particularly the next generation sequencing (NGS) are radically transforming the scenario of genomics and molecular breeding in these minor crops. NGS techniques have allowed de novo assembly of whole genomes in these orphan crops. Moreover, the availability of a reference genome sequence would promote re-sequencing of diverse genotypes to unlock allelic diversity at a genome-wide scale. In parallel, NGS has offered high-resolution genetic maps or more precisely, a robust genetic framework to implement whole-genome strategies for crop improvement. As has already been demonstrated in lupin, sequencing-based genotyping of the representative sample provided access to a number of functionally-relevant markers that could be deployed straight away in crop breeding programs. This article attempts to outline the recent progress made in genomics of these lesser explored pulse crops, and examines the prospects of genomics assisted integrated breeding to enhance and stabilize crop yields.
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Affiliation(s)
- Abhishek Bohra
- Indian Institute of Pulses Research (IIPR), Kanpur 208024, India.
| | - Uday Chand Jha
- Indian Institute of Pulses Research (IIPR), Kanpur 208024, India
| | - P B Kavi Kishor
- Department of Genetics, Osmania University, Hyderabad 500007, India
| | | | - Narendra P Singh
- Indian Institute of Pulses Research (IIPR), Kanpur 208024, India
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Liu L, Ma X, Wei J, Qin J, Mo C. The first genetic linkage map of Luohanguo (Siraitia grosvenorii ) based on ISSR and SRAP markers. Genome 2011; 54:19-25. [PMID: 21217802 DOI: 10.1139/g10-084] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In this study, the first genetic map of Luohanguo (Siraitia grosvenorii (Swingle) C. Jeffrey) was constructed with 150 F₂ population individuals using inter-simple sequence repeat (ISSR) and sequence-related amplified polymorphism (SRAP) markers. A total of 100 ISSRs and 196 SRAP primer combinations generated 51 and 222 polymorphic markers, respectively. Among the 273 markers obtained, 199 markers (29 ISSRs and 170 SRAPs) were mapped to 25 linkage groups. The map covered 1463.3 cM with a mean map distance of 7.35 cM between adjacent markers and a maximum map distance of 52.6 cM between two markers. The markers were distributed randomly in 25 groups except for minor clusters in the distal region of linkage groups. All 25 linkage groups consisted of 2-36 loci ranging in length from 19.5 to 152.6 cM and accounted for 59.8% of the total map distance. This map provides reference information for future molecular breeding work on Luohanguo.
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Affiliation(s)
- Lihua Liu
- Institute of Medicinal Plant Development, Peking Union Medical College, Beijing, People's Republic of China
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Gupta SK, Gopalakrishna T. Genetic diversity analysis in blackgram (Vigna mungo (L.) Hepper) using AFLP and transferable microsatellite markers from azuki bean (Vigna angularis (Willd.) Ohwi & Ohashi). Genome 2009; 52:120-9. [PMID: 19234560 DOI: 10.1139/g08-107] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Genetic diversity in 20 elite blackgram (Vigna mungo (L.) Hepper) genotypes was studied using microsatellite and AFLP markers. Thirty-six microsatellite markers from azuki bean (Vigna angularis (Willd.) Ohwi & Ohashi) were successfully amplified across the 20 blackgram genotypes and 33 microsatellite markers showed polymorphism. A total of 137 microsatellite alleles were generated with an average of 4.1 alleles per locus. The number of alleles ranged from two to nine and the polymorphic information content value for the microsatellite markers varied from 0.10 to 0.87 with an average of 0.49. Microsatellite markers were highly informative and a combination of only three microsatellite markers (CEDG264, CEDG173, and CEDG044) was sufficient to discriminate all 20 blackgram genotypes. In the case of AFLP, 11 primer pairs generated 324 polymorphic marker fragments. The polymorphic information content values for AFLP primer combinations ranged from 0.21 to 0.34 with an average of 0.29. Similarity measures and clustering analyses were made using microsatellite and AFLP data separately. The resulting dendrograms distributed the 20 blackgram genotypes into five main clusters. The dendrograms were comparable with each other with the Mantel test between the cophenetic matrices of microsatellite data and AFLP data showing moderate correlation (r = 0.64). The results of the principal components analysis were well congruent with the dendrograms. In the dendrograms as well as in the principal components analyses, genotype Trombay wild (Vigna mungo var. silvestris) was placed separately from rest of the genotypes. This study demonstrated that the azuki bean microsatellite markers are highly polymorphic and informative and can be successfully used for genome analysis in blackgram. Results indicate that sufficient variability is present in the blackgram genotypes and would be helpful in the selection of suitable parents for breeding purposes and gene mapping studies.
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Affiliation(s)
- S K Gupta
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay, Mumbai-400 085, India.
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