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QTL Meta-Analysis and Candidate Gene Prediction for Leaf Morphological and Physiological Traits in Barley
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Binbin DU1, Jie ZHOU2, Huaping HU2, Qifei WANG3, Xuejun CUI2
Journal of Triticeae Crops | 2025, 45(5) : 576 - 586
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Journal of Triticeae Crops | 2025, 45(5): 576-586
• Genetics & Breeding •
QTL Meta-Analysis and Candidate Gene Prediction for Leaf Morphological and Physiological Traits in Barley
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Binbin DU1, Jie ZHOU2, Huaping HU2, Qifei WANG3, Xuejun CUI2
Affiliations
  • 1.College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, Anhui 237012, China
  • 2.Lu’an Academy of Agricultural Science, Lu’an, Anhui 237000, China
  • 3. Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
Published: 2025-05-15 doi: 10.7606/j.issn.1009-1041.2025.05.02
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Leaf is an important organ for photosynthesis and a key factor affecting yield in barley. In this study, a total of 23 papers on quantitative trait loci (QTL) mapping for leaf morphological and physiological traits in barley, published from 1999 to 2023, were collected to explore the genetic mechanisms of leaf-related traits in barley. The 356 initial QTLs from different genetic populations were integrated into a high-density consensus map of barley and subjected to QTL meta-analysis. A total of 31 meta-QTLs (MQTLs) were identified. These MQTLs were unevenly distributed across the seven chromosomes, with the majority (54.8%) consisting of 3-5 initial QTLs and three MQTLs containing at least 13 initial QTLs. The average confidence interval (CI) width of these MQTLs was 1.54 cM, which is 6.73 times narrower than the average CI width of the initial QTLs. Among these 31 MQTLs, 10 breeder's MQTLs were selected for further candidate gene mining. Using the barley-rice homology comparative strategy, a total of 12 barley orthologs associated with rice leaf morphology or physiological traits were identified within the breeder's MQTL regions, which may be candidate genes for regulating leaf morphology and physiological traits in barley.

Barley  /  Leaf morphological and physiological traits  /  MQTL  /  Candidate gene
都斌斌, 周洁, 胡华萍, 王其飞, 崔学军. 大麦叶片形态和生理性状QTL元分析及候选基因预测. 麦类作物学报, 2025 , 45 (5) : 576 -586 . DOI: 10.7606/j.issn.1009-1041.2025.05.02
Binbin DU, Jie ZHOU, Huaping HU, Qifei WANG, Xuejun CUI. QTL Meta-Analysis and Candidate Gene Prediction for Leaf Morphological and Physiological Traits in Barley[J]. Journal of Triticeae Crops, 2025 , 45 (5) : 576 -586 . DOI: 10.7606/j.issn.1009-1041.2025.05.02
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Year 2025 volume 45 Issue 5
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Article Info
doi: 10.7606/j.issn.1009-1041.2025.05.02
  • Receive Date：2024-05-28
  • Online Date：2026-09-20
  • Published：2025-05-15
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History
  • Received：2024-05-28
  • Revised：2024-11-20
Funding
Affiliations
    1.College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, Anhui 237012, China
    2.Lu’an Academy of Agricultural Science, Lu’an, Anhui 237000, China
    3. Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
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https://castjournals.cast.org.cn/joweb/mlzwxb/EN/10.7606/j.issn.1009-1041.2025.05.02
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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