Evidence map›Paper›PMID 38283973›Full record

ArticleFrontiers in plant science2023

Detection of consensus genomic regions and candidate genes for quality traits in barley using QTL meta-analysis.

Binbin Du, Jindong Wu, Meng Wang, Jia Wu, Chaoyue Sun, Xingen Zhang, Xifeng Ren, Qifei Wang

Abstract read
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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 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Binbin DuCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Jindong WuCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Meng WangXingtai Agriculture and Rural Bureau, Xingtai, Hebei, China.
Jia WuCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Chaoyue SunCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Xingen ZhangCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Xifeng RenHubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Qifei WangInstitute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving barley grain quality is a major goal in barley breeding. In this study, a total of 35 papers focusing on quantitative trait loci (QTLs) mapping for barley quality traits published since 2000 were collected. Among the 454 QTLs identified in these studies, 349 of them were mapped onto high-density consensus maps, which were used for QTL meta-analysis. Through QTL meta-analysis, the initial QTLs were integrated into 41 meta-QTLs (MQTLs) with an average confidence interval (CI) of 1. 66 cM, which is 88.9% narrower than that of the initial QTLs. Among the 41 identified MQTLs, 25 were subsequently validated in publications using genome-wide association study (GWAS). From these 25 validated MQTLs, ten breeder's MQTLs were selected. Synteny analysis comparing barley and wheat MQTLs revealed orthologous relationships between eight breeder's MQTLs and 45 wheat MQTLs. Additionally, 17 barley homologs associated with rice quality traits were identified within the regions of the breeder's MQTLs through comparative analysis. The findings of this study provide valuable insights for molecular marker-assisted breeding and the identification of candidate genes related to quality traits in barley.

Indexed as

barleycandidate geneMQTLQTL meta-analysisquality traits

Identifiers

PMID38283973
PMCPMC10811794

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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.