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Acta Prataculturae Sinica ›› 2024, Vol. 33 ›› Issue (4): 135-153.DOI: 10.11686/cyxb2023235

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Identification of the alfalfa SAUR gene family and its expression pattern under abiotic stress

Hao LIU1,2(), Xian-yang LI1, Fei HE1, Xue WANG1, Ming-na LI1, Rui-cai LONG1, Jun-mei KANG1, Qing-chuan YANG1, Lin CHEN1()   

  1. 1.Institute of Animal Science,Chinese Academy of Agricultural Sciences,Beijing 100193,China
    2.College of Grassland Science,Qingdao Agricultural University,Qingdao 266109,China
  • Received:2023-07-12 Revised:2023-09-13 Online:2024-04-20 Published:2024-01-15
  • Contact: Lin CHEN

Abstract:

SAUR (small auxin up-regulated RNA) is a category of auxin gene in plant early response, involved in a series of biological processes such as plant growth and development and abiotic stress response. The SAUR gene family has been systematically identified and analyzed in Arabidopsis thaliana, rice (Oryza sativa), cotton (Gossypium spp.) and other species, but the research on the SAUR gene family in alfalfa(Medicago sativa), the most important leguminous forage in the world, has not been carried out. In this study, a total of 433 MsSAUR gene family members were identified in the reference genome of alfalfa using bioinformatics methods, and their genome location, gene structure, promoter cis-acting elements and expression patterns in different tissues were analyzed. Meanwhile, using transcriptome data of alfalfa under different abiotic stresses, it was found that five MsSAUR gene family members responded to drought stress, 11 responded to salt, 19 responded to cold and 12 responded to alkali stress. MsSAUR14/94/254 could respond to drought and salt stress simultaneously, and MsSAUR297 could respond to drought, salt and alkali stress simultaneously. MsSAUR306 can respond to drought, salt and cold stress simultaneously. The results of this study can provide important candidate genes for the creation, using genetic engineering, of new germplasm with high yield and resistance.

Key words: alfalfa, SAUR gene, whole genome identification, abiotic stress, expression pattern