<i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi

(1) Background: Fungi contain several millions of species, and the diversification of fungal genes has been achieved by speciation, gene duplication, and horizontal gene transfer. Although several databases provide information on orthologous and paralogous events, these databases show no information...

Full description

Bibliographic Details
Main Authors: Taiga Kawachi, Yuta Inuki, Yoshiyuki Ogata
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Fungi
Subjects:
Online Access:https://www.mdpi.com/2309-608X/7/11/959
_version_ 1797509770520821760
author Taiga Kawachi
Yuta Inuki
Yoshiyuki Ogata
author_facet Taiga Kawachi
Yuta Inuki
Yoshiyuki Ogata
author_sort Taiga Kawachi
collection DOAJ
description (1) Background: Fungi contain several millions of species, and the diversification of fungal genes has been achieved by speciation, gene duplication, and horizontal gene transfer. Although several databases provide information on orthologous and paralogous events, these databases show no information on biases between gene mutation and speciation. Here, we designed the <i>Gcorn fungi</i> database to better understand such biases. (2) Methods: Amino acid sequences of fungal genes in 249 species, which contain 2,345,743 sequences, were used for this database. Homologous genes were grouped at various thresholds of the homology index, which was based on the percentages of gene mutations. By grouping genes that showed highly similar homology indices to each other, we showed functional and evolutionary traits in the phylogenetic tree depicted for the gene of interest. (3) Results: <i>Gcorn fungi</i> provides well-summarized information on the evolution of a gene lineage and on the biases between gene evolution and speciation, which are quantitatively identified by the Robinson–Foulds metric. The database helps users visualize these traits using various depictions. (4) Conclusions: <i>Gcorn fungi</i> is an open access database that provides a variety of information with which to understand gene function and evolution.
first_indexed 2024-03-10T05:22:26Z
format Article
id doaj.art-31e058bc563f4bab98c361140edd6f47
institution Directory Open Access Journal
issn 2309-608X
language English
last_indexed 2024-03-10T05:22:26Z
publishDate 2021-11-01
publisher MDPI AG
record_format Article
series Journal of Fungi
spelling doaj.art-31e058bc563f4bab98c361140edd6f472023-11-22T23:56:17ZengMDPI AGJournal of Fungi2309-608X2021-11-0171195910.3390/jof7110959<i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in FungiTaiga Kawachi0Yuta Inuki1Yoshiyuki Ogata2Graduate School of Life and Environmental Sciences, Osaka Prefecture University, Sakai, Osaka 599-8531, JapanGraduate School of Life and Environmental Sciences, Osaka Prefecture University, Sakai, Osaka 599-8531, JapanGraduate School of Life and Environmental Sciences, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan(1) Background: Fungi contain several millions of species, and the diversification of fungal genes has been achieved by speciation, gene duplication, and horizontal gene transfer. Although several databases provide information on orthologous and paralogous events, these databases show no information on biases between gene mutation and speciation. Here, we designed the <i>Gcorn fungi</i> database to better understand such biases. (2) Methods: Amino acid sequences of fungal genes in 249 species, which contain 2,345,743 sequences, were used for this database. Homologous genes were grouped at various thresholds of the homology index, which was based on the percentages of gene mutations. By grouping genes that showed highly similar homology indices to each other, we showed functional and evolutionary traits in the phylogenetic tree depicted for the gene of interest. (3) Results: <i>Gcorn fungi</i> provides well-summarized information on the evolution of a gene lineage and on the biases between gene evolution and speciation, which are quantitatively identified by the Robinson–Foulds metric. The database helps users visualize these traits using various depictions. (4) Conclusions: <i>Gcorn fungi</i> is an open access database that provides a variety of information with which to understand gene function and evolution.https://www.mdpi.com/2309-608X/7/11/959databasefungievolutiongene homologynetwork analysisortholog
spellingShingle Taiga Kawachi
Yuta Inuki
Yoshiyuki Ogata
<i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi
Journal of Fungi
database
fungi
evolution
gene homology
network analysis
ortholog
title <i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi
title_full <i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi
title_fullStr <i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi
title_full_unstemmed <i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi
title_short <i>Gcorn fungi</i>: A Web Tool for Detecting Biases between Gene Evolution and Speciation in Fungi
title_sort i gcorn fungi i a web tool for detecting biases between gene evolution and speciation in fungi
topic database
fungi
evolution
gene homology
network analysis
ortholog
url https://www.mdpi.com/2309-608X/7/11/959
work_keys_str_mv AT taigakawachi igcornfungiiawebtoolfordetectingbiasesbetweengeneevolutionandspeciationinfungi
AT yutainuki igcornfungiiawebtoolfordetectingbiasesbetweengeneevolutionandspeciationinfungi
AT yoshiyukiogata igcornfungiiawebtoolfordetectingbiasesbetweengeneevolutionandspeciationinfungi