Evidence map›Paper›PMID 38872112›Full record

ArticleBMC plant biology2024

A genome-wide association study reveals novel loci and candidate genes associated with plant height variation in Medicago sativa.

Xueqian Jiang, Tianhui Yang, Fei He, Fan Zhang, Xu Jiang, Chuan Wang, Ting Gao, Ruicai Long, Mingna Li, Qingchuan Yang and 3 more

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Advances in basic biology of alfalfa (Horticulture research · 2025
    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.

Xueqian Jiang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Tianhui Yang *Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia, China.
Fei HeInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Fan ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xu JiangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Chuan WangInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia, China.
Ting GaoInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia, China.
Ruicai LongInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Mingna LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Qingchuan YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yue WangBeijing NO.19 High School, Beijing, China.
Tiejun ZhangSchool of Grassland Science, Beijing Forestry University, Beijing, China. zhangtiejun@bjfu.edu.cn.
Junmei KangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China. kangjunmei@caas.cn.

Funding

Agricultural Science and Technology Innovation Program ASTIP-IAS14National Key Research and Development Program of China 2022YFF1003203the key research project of Ningxia province for the alfalfa breeding program 2022BBF02029, 2019NYY203
6 · The paper itself

Abstract

backgroundPlant height (PH) is an important agronomic trait influenced by a complex genetic network. However, the genetic basis for the variation in PH in Medicago sativa remains largely unknown. In this study, a comprehensive genome-wide association analysis was performed to identify genomic regions associated with PH using a diverse panel of 220 accessions of M. sativa worldwide.

resultsOur study identified eight novel single nucleotide polymorphisms (SNPs) significantly associated with PH evaluated in five environments, explaining 8.59-12.27% of the phenotypic variance. Among these SNPs, the favorable genotype of chr6__31716285 had a low frequency of 16.4%. Msa0882400, located proximal to this SNP, was annotated as phosphate transporter 3;1, and its role in regulating alfalfa PH was supported by transcriptome and candidate gene association analysis. In addition, 21 candidate genes were annotated within the associated regions that are involved in various biological processes related to plant growth and development.

conclusionsOur findings provide new molecular markers for marker-assisted selection in M. sativa breeding programs. Furthermore, this study enhances our understanding of the underlying genetic and molecular mechanisms governing PH variations in M. sativa.

Indexed as

Genome-Wide Association StudyMedicago sativaPolymorphism, Single NucleotideGenes, PlantGenotypePhenotypeQuantitative Trait LociAlfalfa (Medicago sativa)GWASPhosphate transporterPlant height

Identifiers

PMID38872112
PMCPMC11177520

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