ACTA AGRICULTURAE BOREALI-SINICA ›› 2019, Vol. 34 ›› Issue (S1): 331-339. doi: 10.7668/hbnxb.20190554

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Mining and Functional Analyzing of SNP Related to Temperature Stress in Transcriptome of Pardosa pseudoannulata

WANG Xiangyin, SUN Liangyu, LIU Jing, XIAO Rong   

  1. College of Agriculture, Guizhou University, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guiyang 550025, China
  • Received:2019-07-21 Published:2019-12-28

Abstract: SNP is a common genetic variation in genome and an important genetic marker. In order to mine SNP related to temperature tolerance and understand the functional of the SNP-Unigenes from Pardosa pseudoannulata, SOAPsnp software was used to detect the SNP from transcriptome sequencing results of P. pseudoannulata under different temperature stress conditions, and the annotation of SNP-Unigenes in the databases of GO, COG and KEGG was compared. The results showed that the transcriptome SNP sites were distributed in 7 421 SNP-Unigenes, with a total of 402 910 SNP sites and the frequency of SNP occurrence was 1/301 bp. Functional annotation classification revealed that SNP-Unigenes was mainly involved in protein transport, ribosome metabolism, oxidative phosphorylation and amino acid metabolism, when spiders were under low temperature and high temperature stress, so as to compensate for protein damage under thermal stress and speed up the adaptation to temperature change of P. pseudoannulata. SNP sites or SNP-Unigenes response to temperature stress were selected, which laid a theoretical foundation for further studies on the molecular mechanism of P. pseudoannulata in response to temperature stress.

Key words: Pardosa pseudoannulat a, Temperature stress, SNP

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Cite this article

WANG Xiangyin, SUN Liangyu, LIU Jing, XIAO Rong. Mining and Functional Analyzing of SNP Related to Temperature Stress in Transcriptome of Pardosa pseudoannulata[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2019, 34(S1): 331-339. doi: 10.7668/hbnxb.20190554.

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