Evidence map›Paper›PMID 36965079›Full record

ArticlePlant biotechnology journal2023

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

Lei Pan, Minghui Liu, Yan Kang, Xiang Mei, Gege Hu, Chun Bao, Yu Zheng, Huixia Zhao, Chanyou Chen, Nian Wang

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Identification of novel genomic regions associated with yield-related traits in cowpea (Molecular breeding : new strategies in plant improvement · 2025
    Article
  8. Article
  9. Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lei Pan *Hubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.ORCID 0000-0001-9563-0766
Minghui Liu *Hubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Yan Kang *Hubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Xiang MeiHubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Gege HuHubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Chun BaoHubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Yu ZhengHubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Huixia ZhaoHubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Chanyou ChenHubei Province Engineering Research Center of Legume Plants, School of Life Sciences, Jianghan University, Wuhan, China.
Nian WangCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0001-9185-4199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

VignaChromosome MappingGenome-Wide Association StudyGenomicsPhylogenychromosome-scale genomegenome-wide association study (GWAS)natural and artificial selectionspod lengthpod widthVigna unguiculata

Identifiers

PMID36965079
PMCPMC10281604

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.