Evidence map›Paper›PMID 36946261›Full record

ArticleThe plant genome2024

A view of the pan-genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.).

Qihua Liang, María Muñoz-Amatriaín, Shengqiang Shu, Sassoum Lo, Xinyi Wu, Joseph W Carlson, Patrick Davidson, David M Goodstein, Jeremy Phillips, Nadia M Janis and 7 more

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
16.7field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 43 citations in OpenAlex.

  1. Application of Omics Technologies for Cowpea Improvement.Plant-environment interactions (Hoboken, N.J.) · 2026
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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

17 authors at 6 institutions in 3 countries.

Qihua LiangDepartment of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA.
María Muñoz-AmatriaínDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.
Shengqiang ShuUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Sassoum LoDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.
Xinyi WuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Joseph W CarlsonUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Patrick DavidsonUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
David M GoodsteinUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Jeremy PhillipsUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Nadia M JanisDepartment of Agronomy and Plant Genetics, University of Minnesota Twin Cities, Saint Paul, MN, USA.
Elaine J LeeDepartment of Agronomy and Plant Genetics, University of Minnesota Twin Cities, Saint Paul, MN, USA.
Chenxi LiangDepartment of Agronomy and Plant Genetics, University of Minnesota Twin Cities, Saint Paul, MN, USA.
Peter L MorrellDepartment of Agronomy and Plant Genetics, University of Minnesota Twin Cities, Saint Paul, MN, USA.
Andrew D FarmerNational Center for Genome Resources, Santa Fe, NM, USA.
Pei XuKey Lab of Specialty Agri-Product Quality and Hazard Controlling Technology of Zhejiang Province, China Jiliang University, Hangzhou, China.
Timothy J CloseDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.ORCID 0000-0002-9759-3775
Stefano LonardiDepartment of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA.
Lawrence Berkeley National Laboratory · USUniversity of California, Riverside · USUniversity of Minnesota · USChina Jiliang University · CNNational Center for Genome Resources · USZheJiang Academy of Agricultural Sciences · CN

Funding

Agricultural Research Service Non-Assistance Cooperative Agreement 58-5030-7-069Major Science and Technology Project of Plant Breeding in Zhejiang Province 2021C02065-6-3National Natural Science Foundation of China 32172568National Science Foundation IIS 1814359National Science Foundation IOS 1543963National Ten-Thousand Talents Program of ChinaUnited States Agency for International Development Cooperative Agreement AID-OAA-A-13-00070U.S. Department of Agriculture Hatch Project CA-R-BPS-5306-HU.S. Department of Energy Contract No. DE-AC02-05CH11231
6 · The paper itself

Abstract

Cowpea, Vigna unguiculata L. Walp., is a diploid warm-season legume of critical importance as both food and fodder in sub-Saharan Africa. This species is also grown in Northern Africa, Europe, Latin America, North America, and East to Southeast Asia. To capture the genomic diversity of domesticates of this important legume, de novo genome assemblies were produced for representatives of six subpopulations of cultivated cowpea identified previously from genotyping of several hundred diverse accessions. In the most complete assembly (IT97K-499-35), 26,026 core and 4963 noncore genes were identified, with 35,436 pan genes when considering all seven accessions. GO terms associated with response to stress and defense response were highly enriched among the noncore genes, while core genes were enriched in terms related to transcription factor activity, and transport and metabolic processes. Over 5 million single nucleotide polymorphisms (SNPs) relative to each assembly and over 40 structural variants >1 Mb in size were identified by comparing genomes. Vu10 was the chromosome with the highest frequency of SNPs, and Vu04 had the most structural variants. Noncore genes harbor a larger proportion of potentially disruptive variants than core genes, including missense, stop gain, and frameshift mutations; this suggests that noncore genes substantially contribute to diversity within domesticated cowpea.

Indexed as

FabaceaeVignaGenes, PlantGenome, PlantQuantitative Trait Loci

Identifiers

PMID36946261
PMCPMC12807118
OpenAlexW4353018200

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.