Evidence map›Paper›PMID 34394134›Full record

ArticleFrontiers in plant science2021

Genome-Wide Association Study of Root and Shoot Related Traits in Spring Soybean (

Ajmal Mandozai, Abdourazak Alio Moussa, Qi Zhang, Jing Qu, Yeyao Du, Gulaqa Anwari, Noor Al Amin, Piwu Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.0field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  11. Genome-Wide Association Studies of Seven Root Traits in Soybean (International journal of molecular sciences · 2023
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  12. Article
  13. Article
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  16. Deciphering the Genetic Basis of Root and Biomass Traits in Rapeseed (International journal of molecular sciences · 2022
    Article
  17. Article
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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

8 authors at 1 institution in 1 country.

Ajmal MandozaiCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Abdourazak Alio MoussaCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Qi ZhangCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Jing QuCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Yeyao DuCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Gulaqa AnwariCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Noor Al AminCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Piwu WangCollege of Agronomy, Plant Biotechnology Center, Jilin Agricultural University, Changchun, China.
Jilin Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root systems can display variable genetic architectures leading to nutrient foraging or improving abiotic stress tolerance. Breeding for new soybean varieties with efficient root systems has tremendous potential in enhancing resource use efficiency and plant adaptation for challenging climates. In this study, root related traits were analyzed in a panel of 260 spring soybean with genome-wide association study (GWAS). Genotyping was done with specific locus amplified fragment sequencing (SLAF-seq), and five GWAS models (GLM, MLM, CMLM, FaST-LMM, and EMMAX) were used for analysis. A total of 179,960 highly consistent SNP markers distributed over the entire genome with an inter-marker distance of 2.36 kb was used for GWAS analysis. Overall, 27 significant SNPs with a phenotypic contribution ranging from 20 to 72% and distributed on chromosomes 2, 6, 8, 9, 13, 16 and 18 were identified and two of them were found to be associated with multiple root-related traits. Based on the linkage disequilibrium (LD) distance of 9.5 kb for the different chromosomes, 11 root and shoot regulating genes were detected based on LD region of a maximum 55-bp and phenotypic contribution greater than 22%. Expression analysis revealed an association between expression levels of those genes and the degree of root branching number. The current study provides new insights into the genetic architecture of soybean roots, and the underlying SNPs/genes could be critical for future breeding of high-efficient root system in soybean.

Indexed as

genesGWASqRT-PCRroot and shoot related traitsSLAF-seqSNPssoybean

Identifiers

PMID34394134
PMCPMC8355526
OpenAlexW3184196846

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.