Cargando…

Identification and characterization of insect-specific proteins by genome data analysis

BACKGROUND: Insects constitute the vast majority of known species with their importance including biodiversity, agricultural, and human health concerns. It is likely that the successful adaptation of the Insecta clade depends on specific components in its proteome that give rise to specialized featu...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Guojie, Wang, Hongsheng, Shi, Junjie, Wang, Xiaoling, Zheng, Hongkun, Wong, Gane Ka-Shu, Clark, Terry, Wang, Wen, Wang, Jun, Kang, Le
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852559/
https://www.ncbi.nlm.nih.gov/pubmed/17407609
http://dx.doi.org/10.1186/1471-2164-8-93
_version_ 1782133059795025920
author Zhang, Guojie
Wang, Hongsheng
Shi, Junjie
Wang, Xiaoling
Zheng, Hongkun
Wong, Gane Ka-Shu
Clark, Terry
Wang, Wen
Wang, Jun
Kang, Le
author_facet Zhang, Guojie
Wang, Hongsheng
Shi, Junjie
Wang, Xiaoling
Zheng, Hongkun
Wong, Gane Ka-Shu
Clark, Terry
Wang, Wen
Wang, Jun
Kang, Le
author_sort Zhang, Guojie
collection PubMed
description BACKGROUND: Insects constitute the vast majority of known species with their importance including biodiversity, agricultural, and human health concerns. It is likely that the successful adaptation of the Insecta clade depends on specific components in its proteome that give rise to specialized features. However, proteome determination is an intensive undertaking. Here we present results from a computational method that uses genome analysis to characterize insect and eukaryote proteomes as an approximation complementary to experimental approaches. RESULTS: Homologs in common to Drosophila melanogaster, Anopheles gambiae, Bombyx mori, Tribolium castaneum, and Apis mellifera were compared to the complete genomes of three non-insect eukaryotes (opisthokonts) Homo sapiens, Caenorhabditis elegans and Saccharomyces cerevisiae. This operation yielded 154 groups of orthologous proteins in Drosophila to be insect-specific homologs; 466 groups were determined to be common to eukaryotes (represented by three opisthokonts). ESTs from the hemimetabolous insect Locust migratoria were also considered in order to approximate their corresponding genes in the insect-specific homologs. Stress and stimulus response proteins were found to constitute a higher fraction in the insect-specific homologs than in the homologs common to eukaryotes. CONCLUSION: The significant representation of stress response and stimulus response proteins in proteins determined to be insect-specific, along with specific cuticle and pheromone/odorant binding proteins, suggest that communication and adaptation to environments may distinguish insect evolution relative to other eukaryotes. The tendency for low Ka/Ks ratios in the insect-specific protein set suggests purifying selection pressure. The generally larger number of paralogs in the insect-specific proteins may indicate adaptation to environment changes. Instances in our insect-specific protein set have been arrived at through experiments reported in the literature, supporting the accuracy of our approach.
format Text
id pubmed-1852559
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-18525592007-04-18 Identification and characterization of insect-specific proteins by genome data analysis Zhang, Guojie Wang, Hongsheng Shi, Junjie Wang, Xiaoling Zheng, Hongkun Wong, Gane Ka-Shu Clark, Terry Wang, Wen Wang, Jun Kang, Le BMC Genomics Research Article BACKGROUND: Insects constitute the vast majority of known species with their importance including biodiversity, agricultural, and human health concerns. It is likely that the successful adaptation of the Insecta clade depends on specific components in its proteome that give rise to specialized features. However, proteome determination is an intensive undertaking. Here we present results from a computational method that uses genome analysis to characterize insect and eukaryote proteomes as an approximation complementary to experimental approaches. RESULTS: Homologs in common to Drosophila melanogaster, Anopheles gambiae, Bombyx mori, Tribolium castaneum, and Apis mellifera were compared to the complete genomes of three non-insect eukaryotes (opisthokonts) Homo sapiens, Caenorhabditis elegans and Saccharomyces cerevisiae. This operation yielded 154 groups of orthologous proteins in Drosophila to be insect-specific homologs; 466 groups were determined to be common to eukaryotes (represented by three opisthokonts). ESTs from the hemimetabolous insect Locust migratoria were also considered in order to approximate their corresponding genes in the insect-specific homologs. Stress and stimulus response proteins were found to constitute a higher fraction in the insect-specific homologs than in the homologs common to eukaryotes. CONCLUSION: The significant representation of stress response and stimulus response proteins in proteins determined to be insect-specific, along with specific cuticle and pheromone/odorant binding proteins, suggest that communication and adaptation to environments may distinguish insect evolution relative to other eukaryotes. The tendency for low Ka/Ks ratios in the insect-specific protein set suggests purifying selection pressure. The generally larger number of paralogs in the insect-specific proteins may indicate adaptation to environment changes. Instances in our insect-specific protein set have been arrived at through experiments reported in the literature, supporting the accuracy of our approach. BioMed Central 2007-04-04 /pmc/articles/PMC1852559/ /pubmed/17407609 http://dx.doi.org/10.1186/1471-2164-8-93 Text en Copyright © 2007 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Guojie
Wang, Hongsheng
Shi, Junjie
Wang, Xiaoling
Zheng, Hongkun
Wong, Gane Ka-Shu
Clark, Terry
Wang, Wen
Wang, Jun
Kang, Le
Identification and characterization of insect-specific proteins by genome data analysis
title Identification and characterization of insect-specific proteins by genome data analysis
title_full Identification and characterization of insect-specific proteins by genome data analysis
title_fullStr Identification and characterization of insect-specific proteins by genome data analysis
title_full_unstemmed Identification and characterization of insect-specific proteins by genome data analysis
title_short Identification and characterization of insect-specific proteins by genome data analysis
title_sort identification and characterization of insect-specific proteins by genome data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852559/
https://www.ncbi.nlm.nih.gov/pubmed/17407609
http://dx.doi.org/10.1186/1471-2164-8-93
work_keys_str_mv AT zhangguojie identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT wanghongsheng identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT shijunjie identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT wangxiaoling identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT zhenghongkun identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT wongganekashu identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT clarkterry identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT wangwen identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT wangjun identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis
AT kangle identificationandcharacterizationofinsectspecificproteinsbygenomedataanalysis