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Identification of the Extracellular Nuclease Influencing Soaking RNA Interference Efficiency in Bursaphelenchus xylophilus .

Ruijiong WangYongxia LiDongzhen LiWei ZhangXuan WangXiaojian WenZhenkai LiuYuqian FengXingyao Zhang
Published in: International journal of molecular sciences (2022)
RNA interference (RNAi) efficiency dramatically varies among different nematodes, which impacts research on their gene function and pest control. Bursaphelenchus xylophilus is a pine wood nematode in which RNAi-mediated gene silencing has unstable interference efficiency through soaking in dsRNA solutions, the factors of which remain unknown. Using agarose gel electrophoresis, we found that dsRNA can be degraded by nematode secretions in the soaking system which is responsible for the low RNAi efficiency. Based on the previously published genome and secretome data of B. xylophilus , 154 nucleases were screened including 11 extracellular nucleases which are potential factors reducing RNAi efficacy. To confirm the function of nucleases in RNAi efficiency, eight extracellular nuclease genes ( BxyNuc1 - 8 ) were cloned in the genome. BxyNuc4 , BxyNuc6 and BxyNuc7 can be upregulated in response to ds GFP , considered as the major nuclease performing dsRNA degradation. After soaking with the dsRNA of nucleases BxyNuc4 / BxyNuc6 / BxyNuc7 and Pat10 gene (ineffective in RNAi) simultaneously for 24 h, the expression of Pat10 gene decreased by 23.25%, 26.05% and 11.29%, respectively. With soaking for 36 h, the expression of Pat10 gene decreased by 43.25% and 33.25% in ds BxyNuc6 +ds Pat10 and ds BxyNuc7 +ds Pat10 groups, respectively. However, without ds P at10 , ds BxyNuc7 alone could cause downregulation of Pat10 gene expression, while ds BxyNuc6 could not disturb this gene. In conclusion, the nuclease BxyNuc6 might be a major barrier to the RNAi efficiency in B. xylophilus .
Keyphrases
  • genome wide
  • genome wide identification
  • copy number
  • gene expression
  • dna methylation
  • poor prognosis
  • genome editing
  • dna binding
  • crispr cas
  • machine learning
  • binding protein
  • deep learning