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Screening and Identification of miRNAs Related to Dry-Hot Wind Stress in Wheat and Analysis of Their Target Genes
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Xin Gao1, Yan Lei2, Yumei Su2, Hongzhi Zhang1, Shaojie Li3, Jianfeng Li1, Youcheng Shen3, Zhong Wang1, Yueqiang Zhang1
Journal of Triticeae Crops | 2026, 46(8) : 1049 - 1058
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Journal of Triticeae Crops | 2026, 46(8): 1049-1058
Genetics & Breeding
Screening and Identification of miRNAs Related to Dry-Hot Wind Stress in Wheat and Analysis of Their Target Genes
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Xin Gao1, Yan Lei2, Yumei Su2, Hongzhi Zhang1, Shaojie Li3, Jianfeng Li1, Youcheng Shen3, Zhong Wang1, Yueqiang Zhang1
Affiliations
  • 1.Institute of Crop Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region/Key Laboratory of Crop Biotechnology/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture and Rural Affairs, Urumqi, Xinjiang 830091, China
  • 2.College of Life Sciences, Xinjiang Agricultural University, Urumqi, Xinjiang 830000, China
  • 3.Fengyuan Agricultural Science and Technology Co., Ltd., Tacheng, Xinjiang 834700, China
Published: 2026-08-15 doi: 10.7606/j.issn.1009-1041.2026.08.06
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To elucidate the molecular mechanism of miRNA in wheat's response to dry-hot wind stress, a sensitive germplasm Xinchun 14 and a tolerant variety Xinchun 46 were selected as materials. During the grain-filling stage, artificial simulation of dry-hot wind stress (daytime temperature 35 ℃/nighttime temperature 25 ℃, relative humidity 20%, wind speed 5 m·s-1, continuous treatment for 5 days) was applied. High-throughput sequencing technology was used to screen differentially expressed miRNAs, followed by validation via qRT-PCR. The results showed that 203 miRNAs were involved in the expression under dry-hot wind stress, with 136 co-expressed miRNAs. After differential screening, six core differentially expressed miRNAs were ultimately identified, namely, novel_miR_537, novel_miR_443, novel_miR_469, novel_miR_393, novel_miR_390, and novel_miR_339. These miRNAs were significantly enriched in four pathways: the biosynthesis of mannose O-glycans, the degradation of polysaccharides, peroxisomes, and the metabolism of selenium compounds. Target gene predictions revealed that these miRNAs targeted and regulated key membrane protein-encoding genes, including β-1, 2-xyltransferase, α-1, 3-arabinosyltransferase, GDSL esterase/lipase, α-L-fucosidase, and peroxidase, and are involved in the maintenance of cell wall stability, reactive oxygen species clearance, and osmotic regulation processes. This indicates there is a miRNA regulatory network in the response of dry-hot wind in wheat, and it jointly participates in the resistance process of wheat to dry-hot wind stress in the form of a 'miRNA-targeted gene' molecular module.

Triticum aestivum  /  Hot-dry wind stress  /  miRNA  /  Target genes  /  Molecular regulation  /  Stress-resistant breeding
Xin Gao, Yan Lei, Yumei Su, Hongzhi Zhang, Shaojie Li, Jianfeng Li, Youcheng Shen, Zhong Wang, Yueqiang Zhang. Screening and Identification of miRNAs Related to Dry-Hot Wind Stress in Wheat and Analysis of Their Target Genes[J]. Journal of Triticeae Crops, 2026 , 46 (8) : 1049 -1058 . DOI: 10.7606/j.issn.1009-1041.2026.08.06
Year 2026 volume 46 Issue 8
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Article Info
doi: 10.7606/j.issn.1009-1041.2026.08.06
  • Receive Date:2025-11-11
  • Online Date:2026-09-11
  • Published:2026-08-15
Article Data
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History
  • Received:2025-11-11
  • Revised:2026-01-06
Funding
Affiliations
    1.Institute of Crop Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region/Key Laboratory of Crop Biotechnology/Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture and Rural Affairs, Urumqi, Xinjiang 830091, China
    2.College of Life Sciences, Xinjiang Agricultural University, Urumqi, Xinjiang 830000, China
    3.Fengyuan Agricultural Science and Technology Co., Ltd., Tacheng, Xinjiang 834700, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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