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与春大麦产量相关性状相关的数量性状基因座的鉴定

Identification of QTLs associated with grain yield-related traits of spring barley.

作者信息

Genievskaya Yuliya, Abugalieva Saule, Turuspekov Yerlan

机构信息

Laboratory of Molecular Genetics, Institute of Plant Biology and Biotechnology, Almaty, 050040, Kazakhstan.

出版信息

BMC Plant Biol. 2025 Apr 28;25(1):554. doi: 10.1186/s12870-025-06588-6.

DOI:10.1186/s12870-025-06588-6
PMID:40295941
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12038964/
Abstract

BACKGROUND

Numerous quantitative trait loci (QTLs) and candidate genes associated with yield-related traits have been identified in barley by genome-wide association study (GWAS) analysis. However, genetic bottlenecks in elite cultivars have reduced diversity, limiting further yield improvements. Grain yield is a complex, polygenic trait shaped by genetic and environmental factors, necessitating integrative breeding approaches. While genomic selection, marker-assisted selection, and GWAS have identified key loci for yield-related traits, functional validation remains a significant challenge.

RESULTS

A total of 346 QTLs for seven barley yield-related traits were identified in GWAS, including 93 stable QTLs across multiple environments. Two major-effect QTLs for spike length and thousand kernel weight, along with several moderate-effect QTLs, show potential for breeding. Candidate gene analysis revealed 134 highly expressed genes linked to stress response, transport, and metabolism. Notable genes include HORVU.MOREX.r3.5HG0514790 (growth and stress adaptation) and HORVU.MOREX.r3.2HG0212810 (seed storage protein). A total of eight presumably novel QTLs were identified. One of the novel QTLs, Hv_TKW_3H.5, had the strongest effect on total barley grain yield. The integration of favorable alleles from eight moderate- and major-effect QTLs significantly influenced the weight of kernels per spike.

CONCLUSIONS

This study aimed to identify and characterize QTLs associated with barley yield-related traits through GWAS. Integrating genomic and transcriptomic methods suggests a promising strategy for genomic selection and marker-assisted breeding to enhance barley grain yield.

摘要

背景

通过全基因组关联研究（GWAS）分析，已在大麦中鉴定出许多与产量相关性状相关的数量性状基因座（QTL）和候选基因。然而，优良品种中的遗传瓶颈降低了多样性，限制了产量的进一步提高。籽粒产量是一个受遗传和环境因素影响的复杂多基因性状，需要综合育种方法。虽然基因组选择、标记辅助选择和GWAS已鉴定出与产量相关性状的关键基因座，但功能验证仍然是一项重大挑战。

结果

在GWAS中鉴定出了与七个大麦产量相关性状的总共346个QTL，包括在多个环境中稳定存在的93个QTL。两个控制穗长和千粒重的主效QTL以及几个中效QTL显示出育种潜力。候选基因分析揭示了134个与应激反应、运输和代谢相关的高表达基因。值得注意的基因包括HORVU.MOREX.r3.5HG0514790（生长和应激适应）和HORVU.MOREX.r3.2HG0212810（种子贮藏蛋白）。总共鉴定出八个可能的新QTL。其中一个新QTL，Hv_TKW_3H.5，对大麦总籽粒产量的影响最强。来自八个中效和主效QTL的有利等位基因的整合显著影响了每穗粒重。

结论

本研究旨在通过GWAS鉴定和表征与大麦产量相关性状的QTL。整合基因组和转录组方法为基因组选择和标记辅助育种提高大麦籽粒产量提供了一种有前景的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/9e68c2ce2bbf/12870_2025_6588_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/b83f83f744b8/12870_2025_6588_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/22f0b480987c/12870_2025_6588_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/ef52d72d0c1b/12870_2025_6588_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/8b0af8c548a3/12870_2025_6588_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/240a064c4388/12870_2025_6588_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/ccfa3177a0d6/12870_2025_6588_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/89a301b3127b/12870_2025_6588_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/611677e7d4f8/12870_2025_6588_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/9e68c2ce2bbf/12870_2025_6588_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/b83f83f744b8/12870_2025_6588_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/22f0b480987c/12870_2025_6588_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/ef52d72d0c1b/12870_2025_6588_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/8b0af8c548a3/12870_2025_6588_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/240a064c4388/12870_2025_6588_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/ccfa3177a0d6/12870_2025_6588_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/89a301b3127b/12870_2025_6588_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/611677e7d4f8/12870_2025_6588_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d07/12038964/9e68c2ce2bbf/12870_2025_6588_Fig9_HTML.jpg

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