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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2025-05-01
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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 |
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| 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. |
| format | Article |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-05-01 |
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| series | Microbiology Research |
| 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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