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A proteogenomic analysis of Anopheles gambiae using high-resolution Fourier transform mass spectrometry
Author(s) -
Raghothama Chaerkady,
Dhanashree Kelkar,
Babylakshmi Muthusamy,
Kumaran Kandasamy,
Sutopa B. Dwivedi,
Nandini A. Sahasrabuddhe,
MinSik Kim,
Santosh Renuse,
Sneha M. Pinto,
Rakesh Sharma,
Harsh Pawar,
Raja Sekhar Nirujogi,
Ajeet Kumar Mohanty,
Derese Getnet,
Yi Yang,
Jun Zhong,
Aditya Prasad Dash,
Robert M. MacCallum,
Bernard Delanghe,
Godfree Mlambo,
Ashwani Kumar,
Thottethodi Subrahmanya Keshava Prasad,
Mobolaji Okulate,
Nirbhay Kumar,
Akhilesh Pandey
Publication year - 2011
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.127951.111
Subject(s) - biology , proteogenomics , mass spectrometry , anopheles gambiae , high resolution , computational biology , chromatography , genetics , transcriptome , remote sensing , gene , malaria , gene expression , chemistry , geology , immunology
Anopheles gambiae is a major mosquito vector responsible for malaria transmission, whose genome sequence was reported in 2002. Genome annotation is a continuing effort, and many of the approximately 13,000 genes listed in VectorBase for Anopheles gambiae are predictions that have still not been validated by any other method. To identify protein-coding genes of An. gambiae based on its genomic sequence, we carried out a deep proteomic analysis using high-resolution Fourier transform mass spectrometry for both precursor and fragment ions. Based on peptide evidence, we were able to support or correct more than 6000 gene annotations including 80 novel gene structures and about 500 translational start sites. An additional validation by RT-PCR and cDNA sequencing was successfully performed for 105 selected genes. Our proteogenomic analysis led to the identification of 2682 genome search–specific peptides. Numerous cases of encoded proteins were documented in regions annotated as intergenic, introns, or untranslated regions. Using a database created to contain potential splice sites, we also identified 35 novel splice junctions. This is a first report to annotate the An. gambiae genome using high-accuracy mass spectrometry data as a complementary technology for genome annotation.

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