In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 1 ( 2021-1-19), p. e0245324-
Abstract:
Insect Olfactory Receptors (ORs) are diverse family of membrane protein receptors responsible for most of the insect olfactory perception and communication, and hence they are of utmost importance for developing repellents or pesticides. Accurate gene prediction of insect ORs from newly sequenced genomes is an important but challenging task. We have developed a dedicated webserver, ‘insectOR’, to predict and validate insect OR genes using multiple gene prediction algorithms, accompanied by relevant validations. It is possible to employ this server nearly automatically and perform rapid prediction of the OR gene loci from thousands of OR-protein-to-genome alignments, resolve gene boundaries for tandem OR genes and refine them further to provide more complete OR gene models. InsectOR outperformed the popular genome annotation pipelines (MAKER and NCBI eukaryotic genome annotation) in terms of overall sensitivity at base, exon and locus level, when tested on two distantly related insect genomes. It displayed more than 95% nucleotide level precision in both tests. Finally, given the same input data and parameters, InsectOR missed less than 2% gene loci, in contrast to 55% loci missed by MAKER for Drosophila melanogaster . The webserver is freely available on the web at http://caps.ncbs.res.in/insectOR/ and the basic package can be downloaded from https://github.com/sdk15/insectOR for local use. This tool will allow biologists to perform quick preliminary identification of insect olfactory receptor genes from newly sequenced genomes and also assist in their further detailed annotation. Its usage can also be extended to other divergent gene families.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0245324
DOI:
10.1371/journal.pone.0245324.g001
DOI:
10.1371/journal.pone.0245324.g002
DOI:
10.1371/journal.pone.0245324.t001
DOI:
10.1371/journal.pone.0245324.t002
DOI:
10.1371/journal.pone.0245324.t003
DOI:
10.1371/journal.pone.0245324.s001
DOI:
10.1371/journal.pone.0245324.s002
DOI:
10.1371/journal.pone.0245324.s003
DOI:
10.1371/journal.pone.0245324.s004
DOI:
10.1371/journal.pone.0245324.s005
DOI:
10.1371/journal.pone.0245324.s006
DOI:
10.1371/journal.pone.0245324.s007
DOI:
10.1371/journal.pone.0245324.r001
DOI:
10.1371/journal.pone.0245324.r002
DOI:
10.1371/journal.pone.0245324.r003
DOI:
10.1371/journal.pone.0245324.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
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