Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables

This study aimed to identify bioclimatic variables that favour the occurrence of three fungal species of the genus <i>Arthrobotrys</i>. For this purpose, 122 samples were collected from agricultural soils, 41 of which were positive for nematophagous fungi. In total, 13 pure <i>Arth...

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Main Authors: Ana Martha Cruz-Avalos, Montserrat Chagoya-Sánchez, César Andres Ángel-Sahagún, Ana Isabel Mireles-Arriaga, Griselda Maki-Díaz, René Loredo-Portales, Jesús Hernández-Ruíz
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Language:English
Published: MDPI AG 2025-05-01
Series:Microbiology Research
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Online Access:https://www.mdpi.com/2036-7481/16/5/98
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author Ana Martha Cruz-Avalos
Montserrat Chagoya-Sánchez
César Andres Ángel-Sahagún
Ana Isabel Mireles-Arriaga
Griselda Maki-Díaz
René Loredo-Portales
Jesús Hernández-Ruíz
author_facet Ana Martha Cruz-Avalos
Montserrat Chagoya-Sánchez
César Andres Ángel-Sahagún
Ana Isabel Mireles-Arriaga
Griselda Maki-Díaz
René Loredo-Portales
Jesús Hernández-Ruíz
author_sort Ana Martha Cruz-Avalos
collection DOAJ
description This study aimed to identify bioclimatic variables that favour the occurrence of three fungal species of the genus <i>Arthrobotrys</i>. For this purpose, 122 samples were collected from agricultural soils, 41 of which were positive for nematophagous fungi. In total, 13 pure <i>Arthrobotrys</i> spp. cultures tested positive for pathogenicity to entomopathogenic nematodes and were identified at the species level based on their morphology and morphometry. The environmental and bioclimatic characteristics of positive sampling sites were evaluated using the maximum entropy algorithm, with 22 bioclimatic variables as predictors; among them, the main variables that promoted the occurrence of <i>Arthrobotrys</i> spp. were moisture regime (35.1%), precipitation of warmest quarter (21.3%), and altitude (20.5%). The total surface area with these conditions was 109,568 ha. In Guanajuato, Mexico, conditions favour the occurrence of nematophagous fungi. The bioclimatic variables that increased the incidence of the genus <i>Arthrobotrys</i> were moisture regime, precipitation of the warmest quarter, and altitude. The municipalities in Guanajuato of Abasolo (001), Irapuato (017), Jaral del progreso (018), León (020), Pueblo Nuevo (024), Salamanca (027), and Valle de Santiago (042) encompass regions conducive to finding nematophagous fungi.
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spelling doaj-art-bf441977beb74bd293178439f0d3cc3d2025-08-20T03:47:54ZengMDPI AGMicrobiology Research2036-74812025-05-011659810.3390/microbiolres16050098Nematophagous Fungi Occurrence: Prediction Using Bioclimatic VariablesAna Martha Cruz-Avalos0Montserrat Chagoya-Sánchez1César Andres Ángel-Sahagún2Ana Isabel Mireles-Arriaga3Griselda Maki-Díaz4René Loredo-Portales5Jesús Hernández-Ruíz6Department of Agronomy, Division of Life Sciences, University of Guanajuato, Irapuato-Salamanca Campus, Irapuato C.P. 36824, Guanajuato, MexicoInterinstitutional Master’s Program in Animal Production, Division of Life Sciences, UG, Irapuato-Salamanca Campus, Irapuato C.P. 36824, Guanajuato, MexicoInterinstitutional Master’s Program in Animal Production, Division of Life Sciences, UG, Irapuato-Salamanca Campus, Irapuato C.P. 36824, Guanajuato, MexicoDepartment of Agronomy, Division of Life Sciences, University of Guanajuato, Irapuato-Salamanca Campus, Irapuato C.P. 36824, Guanajuato, MexicoDepartment of Art and Business, Division of Engineering, UG, Irapuato-Salamanca Campus, Irapuato C.P. 36824, Guanajuato, MexicoNorthwest Regional Station, Geology Institute, National Autonomous University of Mexico, Hermosillo C.P. 83000, Sonora, MexicoDepartment of Agronomy, Division of Life Sciences, University of Guanajuato, Irapuato-Salamanca Campus, Irapuato C.P. 36824, Guanajuato, MexicoThis study aimed to identify bioclimatic variables that favour the occurrence of three fungal species of the genus <i>Arthrobotrys</i>. For this purpose, 122 samples were collected from agricultural soils, 41 of which were positive for nematophagous fungi. In total, 13 pure <i>Arthrobotrys</i> spp. cultures tested positive for pathogenicity to entomopathogenic nematodes and were identified at the species level based on their morphology and morphometry. The environmental and bioclimatic characteristics of positive sampling sites were evaluated using the maximum entropy algorithm, with 22 bioclimatic variables as predictors; among them, the main variables that promoted the occurrence of <i>Arthrobotrys</i> spp. were moisture regime (35.1%), precipitation of warmest quarter (21.3%), and altitude (20.5%). The total surface area with these conditions was 109,568 ha. In Guanajuato, Mexico, conditions favour the occurrence of nematophagous fungi. The bioclimatic variables that increased the incidence of the genus <i>Arthrobotrys</i> were moisture regime, precipitation of the warmest quarter, and altitude. The municipalities in Guanajuato of Abasolo (001), Irapuato (017), Jaral del progreso (018), León (020), Pueblo Nuevo (024), Salamanca (027), and Valle de Santiago (042) encompass regions conducive to finding nematophagous fungi.https://www.mdpi.com/2036-7481/16/5/98nematophagous fungimaximum entropy algorithmtemperaturemoisturegeographical distribution
spellingShingle Ana Martha Cruz-Avalos
Montserrat Chagoya-Sánchez
César Andres Ángel-Sahagún
Ana Isabel Mireles-Arriaga
Griselda Maki-Díaz
René Loredo-Portales
Jesús Hernández-Ruíz
Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables
Microbiology Research
nematophagous fungi
maximum entropy algorithm
temperature
moisture
geographical distribution
title Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables
title_full Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables
title_fullStr Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables
title_full_unstemmed Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables
title_short Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables
title_sort nematophagous fungi occurrence prediction using bioclimatic variables
topic nematophagous fungi
maximum entropy algorithm
temperature
moisture
geographical distribution
url https://www.mdpi.com/2036-7481/16/5/98
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