Annotation and Analysis of 3902 Odorant Receptor Protein Sequences from 21 Insect Species Provide Insights into the Evolution of Odorant Receptor Gene Families in Solitary and Social Insects
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Pablo Mier
- Jean-Fred Fontaine
- Marah Stoldt
- Romain Libbrecht
- Carlotta Martelli
- Susanne Foitzik
- Miguel A Andrade-Navarro
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000802562300001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.3390/genes13050919
- eISSN
- 2073-4425
- Externe Identifier
- Clarivate Analytics Document Solution ID: 1Q2ZN
- PubMed Identifier: 35627304
- Ausgabe der Veröffentlichung
- 5
- Zeitschrift
- GENES
- Schlüsselwörter
- odorant receptor
- machine learning
- chemical binding
- insects
- Artikelnummer
- ARTN 919
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- Annotation and Analysis of 3902 Odorant Receptor Protein Sequences from 21 Insect Species Provide Insights into the Evolution of Odorant Receptor Gene Families in Solitary and Social Insects
- Sub types
- Article
- Ausgabe der Zeitschrift
- 13
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:p>The gene family of insect olfactory receptors (ORs) has expanded greatly over the course of evolution. ORs enable insects to detect volatile chemicals and therefore play an important role in social interactions, enemy and prey recognition, and foraging. The sequences of several thousand ORs are known, but their specific function or their ligands have only been identified for very few of them. To advance the functional characterization of ORs, we have assembled, curated, and aligned the sequences of 3902 ORs from 21 insect species, which we provide as an annotated online resource. Using functionally characterized proteins from the fly Drosophila melanogaster, the mosquito Anopheles gambiae and the ant Harpegnathos saltator, we identified amino acid positions that best predict response to ligands. We examined the conservation of these predicted relevant residues in all OR subfamilies; the results showed that the subfamilies that expanded strongly in social insects had a high degree of conservation in their binding sites. This suggests that the ORs of social insect families are typically finely tuned and exhibit sensitivity to very similar odorants. Our novel approach provides a powerful tool to exploit functional information from a limited number of genes to study the functional evolution of large gene families.</jats:p>
- Autoren
- Pablo Mier
- Jean-Fred Fontaine
- Marah Stoldt
- Romain Libbrecht
- Carlotta Martelli
- Susanne Foitzik
- Miguel A Andrade-Navarro
- DOI
- 10.3390/genes13050919
- eISSN
- 2073-4425
- Ausgabe der Veröffentlichung
- 5
- Zeitschrift
- Genes
- Sprache
- en
- Online publication date
- 2022
- Paginierung
- 919 - 919
- Status
- Published online
- Herausgeber
- MDPI AG
- Herausgeber URL
- http://dx.doi.org/10.3390/genes13050919
- Datum der Datenerfassung
- 2022
- Titel
- Annotation and Analysis of 3902 Odorant Receptor Protein Sequences from 21 Insect Species Provide Insights into the Evolution of Odorant Receptor Gene Families in Solitary and Social Insects
- Ausgabe der Zeitschrift
- 13
Datenquelle: Crossref
- Abstract
- The gene family of insect olfactory receptors (ORs) has expanded greatly over the course of evolution. ORs enable insects to detect volatile chemicals and therefore play an important role in social interactions, enemy and prey recognition, and foraging. The sequences of several thousand ORs are known, but their specific function or their ligands have only been identified for very few of them. To advance the functional characterization of ORs, we have assembled, curated, and aligned the sequences of 3902 ORs from 21 insect species, which we provide as an annotated online resource. Using functionally characterized proteins from the fly <i>Drosophila melanogaster</i>, the mosquito <i>Anopheles gambiae</i> and the ant <i>Harpegnathos saltator</i>, we identified amino acid positions that best predict response to ligands. We examined the conservation of these predicted relevant residues in all OR subfamilies; the results showed that the subfamilies that expanded strongly in social insects had a high degree of conservation in their binding sites. This suggests that the ORs of social insect families are typically finely tuned and exhibit sensitivity to very similar odorants. Our novel approach provides a powerful tool to exploit functional information from a limited number of genes to study the functional evolution of large gene families.
- Addresses
- Institute of Organismic and Molecular Evolution (iomE), Faculty of Biology, Johannes Gutenberg University Mainz, Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany.
- Autoren
- Pablo Mier
- Jean-Fred Fontaine
- Marah Stoldt
- Romain Libbrecht
- Carlotta Martelli
- Susanne Foitzik
- Miguel A Andrade-Navarro
- DOI
- 10.3390/genes13050919
- eISSN
- 2073-4425
- Externe Identifier
- PubMed Identifier: 35627304
- PubMed Central ID: PMC9141868
- Funding acknowledgements
- Johannes Gutenberg University Research Center for Algorithmic Emergent Intelligence: -
- Open access
- true
- ISSN
- 2073-4425
- Ausgabe der Veröffentlichung
- 5
- Zeitschrift
- Genes
- Schlüsselwörter
- Animals
- Drosophila melanogaster
- Insect Proteins
- Receptors, Odorant
- Ligands
- Insecta
- Sprache
- eng
- Medium
- Electronic
- Online publication date
- 2022
- Open access status
- Open Access
- Paginierung
- 919
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2022
- Titel
- Annotation and Analysis of 3902 Odorant Receptor Protein Sequences from 21 Insect Species Provide Insights into the Evolution of Odorant Receptor Gene Families in Solitary and Social Insects.
- Sub types
- Research Support, Non-U.S. Gov't
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 13
Files
https://www.mdpi.com/2073-4425/13/5/919/pdf?version=1653374640 https://europepmc.org/articles/PMC9141868?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- The gene family of insect olfactory receptors (ORs) has expanded greatly over the course of evolution. ORs enable insects to detect volatile chemicals and therefore play an important role in social interactions, enemy and prey recognition, and foraging. The sequences of several thousand ORs are known, but their specific function or their ligands have only been identified for very few of them. To advance the functional characterization of ORs, we have assembled, curated, and aligned the sequences of 3902 ORs from 21 insect species, which we provide as an annotated online resource. Using functionally characterized proteins from the fly Drosophila melanogaster, the mosquito Anopheles gambiae and the ant Harpegnathos saltator, we identified amino acid positions that best predict response to ligands. We examined the conservation of these predicted relevant residues in all OR subfamilies; the results showed that the subfamilies that expanded strongly in social insects had a high degree of conservation in their binding sites. This suggests that the ORs of social insect families are typically finely tuned and exhibit sensitivity to very similar odorants. Our novel approach provides a powerful tool to exploit functional information from a limited number of genes to study the functional evolution of large gene families.
- Date of acceptance
- 2022
- Autoren
- Pablo Mier
- Jean-Fred Fontaine
- Marah Stoldt
- Romain Libbrecht
- Carlotta Martelli
- Susanne Foitzik
- Miguel A Andrade-Navarro
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/35627304
- DOI
- 10.3390/genes13050919
- eISSN
- 2073-4425
- Externe Identifier
- PubMed Central ID: PMC9141868
- Ausgabe der Veröffentlichung
- 5
- Zeitschrift
- Genes (Basel)
- Schlüsselwörter
- chemical binding
- insects
- machine learning
- odorant receptor
- Animals
- Drosophila melanogaster
- Insect Proteins
- Insecta
- Ligands
- Receptors, Odorant
- Sprache
- eng
- Country
- Switzerland
- PII
- genes13050919
- Datum der Veröffentlichung
- 2022
- Status
- Published online
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Titel
- Annotation and Analysis of 3902 Odorant Receptor Protein Sequences from 21 Insect Species Provide Insights into the Evolution of Odorant Receptor Gene Families in Solitary and Social Insects.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 13
Datenquelle: PubMed
- Beziehungen:
- Eigentum von