Acta Horticulturae Sinica ›› 2021, Vol. 48 ›› Issue (8): 1485-1503.doi: 10.16420/j.issn.0513-353x.2020-0595

• Research Papers • Previous Articles     Next Articles

Bioinformatic Identification and Expression Analysis of Candidate Genes of LIM Protein Family in Strawberry Under Abiotic Stresses

ZHANG Zhiqiang, LU Shixiong, MA Zonghuan, LI Yanbiao, GAO Caixia, CHEN Baihong, MAO Juan()   

  1. College of Horticulture,Gansu Agricultural University,Lanzhou 730070,China
  • Received:2021-01-22 Revised:2021-04-06 Online:2021-08-25 Published:2021-09-06
  • Contact: MAO Juan


In this paper,NCBI and GDR database were used to analyze the candidate genes of LIM family in strawberry genome,and 37 LIM genes could be divided into four subgroups,nine LIM genes were identified from Fragaria vescaL. and 28 LIM genes were identified from cultivated strawberry(F. ananassaDuch.). The LIM family candidate genes were mainly expressed in the nucleus. Their codon bias were less preferred and tended to use the synonymous codon ending in A/T. The upstream 2 kb region of promoter sequences of FvLIM and FaLIM contained a large number of hormone response elements and abiotic stress elements. The expression levels of LIM family candidate genes under 200 mmol · L-1 NaCl,10% PEG,and 4 ℃ low temperature,FaLIMwere more significantly up-regulated than FvLIM with the treatment time. Under 4 ℃ low temperature treatment,FvLIM5(12 h)and FvLIM7(24 h)were significantly up-regulated in F. vesca,FaLIM25(12 h)and FaLIM18(24 h)significantly up-regulated in F. ananassa‘Benihoppe’,the overall response to low temperature is obvious. The results of qRT-PCR showed that most of LIM family candidate genes were highly expressed in roots and flowers,their diverse and specific expression could be detected in five tissues. Based on the above analysis results,it was speculated that the LIM family candidate genes of strawberry might play an important role in abiotic stress and in roots and flowers development.

Key words: strawberry, LIM gene family, bioinformatics, qRT-PCR

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