Evidence map›Paper›PMID 37251758›Full record

ArticleFrontiers in plant science2023

Genome-wide association analysis reveals the optimal genomic regions for pod size in bean.

Mao Li, Xinyi Wu, Baogen Wang, Xiaohua Wu, Ying Wang, Jian Wang, Junyang Dong, Jian Wu, Zhongfu Lu, Yuyan Sun and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 3 institutions in 1 country.

Mao LiKey Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A & F University, Hangzhou, China.
Xinyi WuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Baogen WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Xiaohua WuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Ying WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jian WangInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Junyang DongKey Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A & F University, Hangzhou, China.
Jian WuKey Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A & F University, Hangzhou, China.
Zhongfu LuInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Yuyan SunInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Wenqi DongInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jing YangKey Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A & F University, Hangzhou, China.
Guojing LiInstitute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
ZheJiang Academy of Agricultural Sciences · CNMinistry of Agriculture and Rural Affairs · CNZhejiang A & F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The snap bean is the most commonly grown vegetable legume worldwide, and its pod size is both an important yield and appearance quality trait. However, the improvement of pod size in snap beans grown in China has been largely hindered by a lack of information on the specific genes that determine pod size. In this study, we identified 88 snap bean accessions and evaluated their pod size traits. Through a genome-wide association study (GWAS), 57 single nucleotide polymorphisms (SNPs) significantly associated with pod size were detected. Candidate gene analysis showed that cytochrome P450 family genes, WRKY, and MYB transcription factors were the predominant candidate genes for pod development, and eight of these 26 candidate genes showed relatively higher expression patterns in flowers and young pods. A significant pod length (PL) SNP and a single pod weight (SPW) SNP were successfully converted into kompetitive allele-specific polymerase chain reaction (KASP) markers and validated in the panel. These results enhance our understanding of the genetic basis of pod size, and also provide genetic resources for the molecular breeding of pod size in snap beans.

Indexed as

GWASKASP markerpod sizequalitysnap bean

Identifiers

PMID37251758
PMCPMC10213521
OpenAlexW4378746141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.