Literature DB >> 22659052

Identification and analysis of genes differentially expressed in the Spodoptera litura fat body in response to the biocontrol fungus, Nomuraea rileyi.

Huan Chen1, Youping Yin, Yan Li, M S Mahmud, Zhongkang Wang.   

Abstract

Nomuraea rileyi is an important pathogenic fungus that can successfully control Spodoptera litura. However, little is known on how S. litura responds to N. rileyi infection. A forward suppression subtractive hybridization (SSH) cDNA library was constructed from the S. litura fat body and the up-regulated genes were identified to isolate differentially expressed genes in response to N. rileyi. A total of 345/1175 random clones screened by cDNA array dot blotting were sequenced, resulting in 117 uniquely expressed sequence tags (ESTs). Potential functional genes were identified by BLAST searches and were categorized into seven groups associated with different biological processes based on the literature and gene ontologies. Among 117 genes, 74 had matches in the non-redundant (NR) protein database and were found to be involved in different biological processes, while 43 of the screened genes were classified to the "unknown function" gene group. Notably, only two genes had previously been reported in S. litura and most of the screened genes showed less similarity to known sequences based on BLASTn results, suggesting that 115 genes were found for the first time in S. litura. Semi-quantitative RT-PCR analysis of seven randomly selected genes revealed that most were differentially expressed after N. rileyi infection. qRT-PCR analysis confirmed that four genes (Hsp70, Hsp90, gallerimycin, and cysteine proteinase) were significantly up-regulated after N. rileyi infection. Taken together, the present study identified up-regulated S. litura genes in response to N. rileyi infection. Further investigations are needed to unravel the molecular mechanisms of the genes or proteins potentially involved in the S. litura innate immune defense against N. rileyi infection.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22659052     DOI: 10.1016/j.cbpb.2012.05.018

Source DB:  PubMed          Journal:  Comp Biochem Physiol B Biochem Mol Biol        ISSN: 1096-4959            Impact factor:   2.231


  6 in total

1.  Role of two Nomuraea rileyi transmembrane sensors Sho1p and Sln1p in adaptation to stress due to changing culture conditions during microsclerotia development.

Authors:  Zhangyong Song; Ling Shen; Youping Yin; Wenyong Tan; Changwen Shao; Jinmin Xu; Zhongkang Wang
Journal:  World J Microbiol Biotechnol       Date:  2015-01-18       Impact factor: 3.312

2.  Identification of Genes Differentially Expressed Between Ochratoxin-Producing and Non-Producing Strains of Aspergillus westerdijkiae.

Authors:  Daniele Sartori; Fernanda Pelisson Massi; Larissa Souza Ferranti; Maria Helena P Fungaro
Journal:  Indian J Microbiol       Date:  2013-04-21       Impact factor: 2.461

3.  Identification and expression analysis of QM-like gene from Spodoptera litura after challenge by the entomopathogenic fungus Nomuraea rileyi.

Authors:  Yan Li; Zhong-Kang Wang; Huan Chen; Er-Yan Feng; You-Ping Yin
Journal:  J Insect Sci       Date:  2014-01-01       Impact factor: 1.857

4.  Identification and Functional Analysis of Two Chitin Synthase Genes in the Common Cutworm, Spodoptera litura.

Authors:  Hai-Zhong Yu; Ning-Yan Li; Yan-Xin Xie; Qin Zhang; Ying Wang; Zhan-Jun Lu
Journal:  Insects       Date:  2020-04-17       Impact factor: 2.769

5.  Comparative transcriptome analysis of microsclerotia development in Nomuraea rileyi.

Authors:  Zhangyong Song; Youping Yin; Shasha Jiang; Juanjuan Liu; Huan Chen; Zhongkang Wang
Journal:  BMC Genomics       Date:  2013-06-19       Impact factor: 3.969

6.  Identification and validation of reference genes for gene expression analysis using quantitative PCR in Spodoptera litura (Lepidoptera: Noctuidae).

Authors:  Yanhui Lu; Miao Yuan; Xiwu Gao; Tinghao Kang; Sha Zhan; Hu Wan; Jianhong Li
Journal:  PLoS One       Date:  2013-07-09       Impact factor: 3.240

  6 in total

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