Literature DB >> 26902207

Tissue-specific Proteogenomic Analysis of Plutella xylostella Larval Midgut Using a Multialgorithm Pipeline.

Xun Zhu1, Shangbo Xie2, Jean Armengaud3, Wen Xie1, Zhaojiang Guo1, Shi Kang1, Qingjun Wu1, Shaoli Wang1, Jixing Xia1, Rongjun He1, Youjun Zhang4.   

Abstract

The diamondback moth, Plutella xylostella (L.), is the major cosmopolitan pest of brassica and other cruciferous crops. Its larval midgut is a dynamic tissue that interfaces with a wide variety of toxicological and physiological processes. The draft sequence of the P. xylostella genome was recently released, but its annotation remains challenging because of the low sequence coverage of this branch of life and the poor description of exon/intron splicing rules for these insects. Peptide sequencing by computational assignment of tandem mass spectra to genome sequence information provides an experimental independent approach for confirming or refuting protein predictions, a concept that has been termed proteogenomics. In this study, we carried out an in-depth proteogenomic analysis to complement genome annotation of P. xylostella larval midgut based on shotgun HPLC-ESI-MS/MS data by means of a multialgorithm pipeline. A total of 876,341 tandem mass spectra were searched against the predicted P. xylostella protein sequences and a whole-genome six-frame translation database. Based on a data set comprising 2694 novel genome search specific peptides, we discovered 439 novel protein-coding genes and corrected 128 existing gene models. To get the most accurate data to seed further insect genome annotation, more than half of the novel protein-coding genes, i.e. 235 over 439, were further validated after RT-PCR amplification and sequencing of the corresponding transcripts. Furthermore, we validated 53 novel alternative splicings. Finally, a total of 6764 proteins were identified, resulting in one of the most comprehensive proteogenomic study of a nonmodel animal. As the first tissue-specific proteogenomics analysis of P. xylostella, this study provides the fundamental basis for high-throughput proteomics and functional genomics approaches aimed at deciphering the molecular mechanisms of resistance and controlling this pest.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2016        PMID: 26902207      PMCID: PMC5083088          DOI: 10.1074/mcp.M115.050989

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  79 in total

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2.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

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Journal:  Mol Cell Proteomics       Date:  2013-07-23       Impact factor: 5.911

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Authors:  Richard J Hopkins; Nicole M van Dam; Joop J A van Loon
Journal:  Annu Rev Entomol       Date:  2009       Impact factor: 19.686

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

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Journal:  Mol Cell Proteomics       Date:  2014-02-16       Impact factor: 5.911

Review 8.  Cytochrome p450 and chemical toxicology.

Authors:  F Peter Guengerich
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9.  Proteogenomic insights into salt tolerance by a halotolerant alpha-proteobacterium isolated from an Andean saline spring.

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Journal:  J Proteomics       Date:  2013-05-29       Impact factor: 4.044

10.  Learning from decoys to improve the sensitivity and specificity of proteomics database search results.

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Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

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  2 in total

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Journal:  BMC Genomics       Date:  2019-03-07       Impact factor: 3.969

2.  Quantitative Proteomics Analysis of Membrane Proteins in Enterococcus faecalis With Low-Level Linezolid-Resistance.

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  2 in total

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