Long‐read‐based draft genome sequence of Indian black gram IPU‐94‐1 ‘Uttara’: Insights into disease resistance and seed storage protein genes

Ambreen, Heena; Oraon, Praveen Kumar; Wahlang, Daniel Regie; Satyawada, Rama Rao; Katiyar-Agarwal, Surekha; Agarwal, Manu; Jagannath, Arun; Kumar, Amar; Budhwar, Roli; Shukla, Rohit Nandan; Goel, Shailendra

doi:10.1002/tpg2.20234

Cited by 6 publications

(2 citation statements)

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“…Shortly, Souframanien et al (2021) constructed a draft genome sequence of 502 Mb of black gram variety Pant U-31 with 42,115 predicted genes. Ambreen et al (2022) constructed a draft reference-guided genome assembly of black gram genotype 'Uttara' (IPU 94-1; known for its high resistance to Mungbean Yellow Mosaic Disease), with a cumulative size of 454 Mb and 28,881 predicted genes, of which 444 Mb was anchored on 11 chromosomes. Naito et al (2022) constructed a draft genome sequence of 475 Mb of black gram variety Subsmotod with 28,227 predicted genes.…”

Section: Indiamentioning

confidence: 99%

Genetics, genomics, and breeding of black gram [Vigna mungo (L.) Hepper]

Nair,

Chaudhari,

Devi

et al. 2024

Front. Plant Sci.

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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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Section: Indiamentioning

confidence: 99%

Genetics, genomics, and breeding of black gram [Vigna mungo (L.) Hepper]

Nair,

Chaudhari,

Devi

et al. 2024

Front. Plant Sci.

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“…For Indian black gram [ Vigna mungo (L.) Hepper var. mungo ], a long‐read‐based draft genome sequence was assembled with a cumulative size of ∼454.4 Mb and an N50 size of 42.88 Mb (Ambreen et al ., 2022 ). The total scaffold sequences amounted to 466.7 Mb (N50 = 1.29 Mb), and 34 183 protein‐coding genes were predicted for adzuki bean ( V. angularis ) (Yang et al ., 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive genomic analyses of Vigna unguiculata provide insights into population differentiation and the genetic basis of key agricultural traits

Pan

Liu

et al. 2023

Plant Biotechnology Journal

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Summary Vigna unguiculata is an important legume crop worldwide. The subsp. sesquipedalis and unguiculata are the two major types grown; the former is mainly grown in Asia to produce fresh pods, while the latter is mainly grown in Africa to produce seeds. Here, a chromosome‐scale genome for subsp. sesquipedalis was generated by combining high‐fidelity (HiFi) long‐read sequencing with high‐throughput chromosome conformation capture (Hi‐C) technology. The genome size for all contigs and N50 were 594 and 18.5 Mb, respectively. The Hi‐C interaction map helped cluster 91% of the contigs into 11 chromosomes. Genome comparisons between subsp. sesquipedalis and unguiculata revealed extensive genomic variations, and some variations resulted in gene loss. A germplasm panel with 315 accessions of V. unguiculata was resequenced, and a genomic variation map was constructed. Population structure and phylogenetic analyses suggested that subsp. sesquipedalis originated from subsp. unguiculata. Highly differentiated genomic regions were also identified, and a number of genes functionally enriched in adaptations were located in these regions. Two traits, pod length (PL) and pod width (PW), were observed for this germplasm, and genome‐wide association analysis of these traits was performed. The quantitative trait loci (QTLs) for these two traits were identified, and their candidate genes were uncovered. Interestingly, genomic regions of PL QTLs also showed strong signals of artificial selection. Taken together, the results of this study provide novel insights into the population differentiation and genetic basis of key agricultural traits in V. unguiculata.

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