Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data
The impact of climate change on biodiversity has been the subject of numerous research in recent years. The multiple elements of climate change are expected to affect all levels of biodiversity, including microorganisms. The common worldwide fungus <i>Fusarium oxysporum</i> colonizes pla...
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| Format: | Article |
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MDPI AG
2023-02-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/11/2/468 |
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| author | Dalal Hussien M. Alkhalifah Eman Damra Moaz Beni Melhem Wael N. Hozzein |
| author_facet | Dalal Hussien M. Alkhalifah Eman Damra Moaz Beni Melhem Wael N. Hozzein |
| author_sort | Dalal Hussien M. Alkhalifah |
| collection | DOAJ |
| description | The impact of climate change on biodiversity has been the subject of numerous research in recent years. The multiple elements of climate change are expected to affect all levels of biodiversity, including microorganisms. The common worldwide fungus <i>Fusarium oxysporum</i> colonizes plant roots as well as soil and several other substrates. It causes predominant vascular wilt disease in different strategic crops such as banana, tomato, palm, and even cotton, thereby leading to severe losses. So, a robust maximum entropy algorithm was implemented in the well-known modeling program Maxent to forecast the current and future global distribution of <i>F. oxysporum</i> under two representative concentration pathways (RCPs 2.6 and 8.5) for 2050 and 2070. The Maxent model was calibrated using 1885 occurrence points. The resulting models were fit with AUC and TSS values equal to 0.9 (±0.001) and 0.7, respectively. Increasing temperatures due to global warming caused differences in habitat suitability between the current and future distributions of <i>F. oxysporum</i>, especially in Europe. The most effective parameter of this fungus distribution was the annual mean temperature (Bio 1); the two-dimensional niche analysis indicated that the fungus has a wide precipitation range because it can live in both dry and rainy habitats as well as a range of temperatures in which it can live to certain limits. The predicted shifts should act as an alarm sign for decision makers, particularly in countries that depend on such staple crops harmed by the fungus. |
| first_indexed | 2024-03-11T08:22:59Z |
| format | Article |
| id | doaj.art-465232e6d96a4d1d95cb72fafe3c0a53 |
| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-11T08:22:59Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj.art-465232e6d96a4d1d95cb72fafe3c0a532023-11-16T22:16:17ZengMDPI AGMicroorganisms2076-26072023-02-0111246810.3390/microorganisms11020468Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System DataDalal Hussien M. Alkhalifah0Eman Damra1Moaz Beni Melhem2Wael N. Hozzein3Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi ArabiaBotany and Microbiology Department, College of Science, King Saud University, Riyadh 11451, Saudi ArabiaBotany and Microbiology Department, Faculty of Science, Beni-Suef University, Beni-Suef 62514, EgyptBotany and Microbiology Department, Faculty of Science, Beni-Suef University, Beni-Suef 62514, EgyptThe impact of climate change on biodiversity has been the subject of numerous research in recent years. The multiple elements of climate change are expected to affect all levels of biodiversity, including microorganisms. The common worldwide fungus <i>Fusarium oxysporum</i> colonizes plant roots as well as soil and several other substrates. It causes predominant vascular wilt disease in different strategic crops such as banana, tomato, palm, and even cotton, thereby leading to severe losses. So, a robust maximum entropy algorithm was implemented in the well-known modeling program Maxent to forecast the current and future global distribution of <i>F. oxysporum</i> under two representative concentration pathways (RCPs 2.6 and 8.5) for 2050 and 2070. The Maxent model was calibrated using 1885 occurrence points. The resulting models were fit with AUC and TSS values equal to 0.9 (±0.001) and 0.7, respectively. Increasing temperatures due to global warming caused differences in habitat suitability between the current and future distributions of <i>F. oxysporum</i>, especially in Europe. The most effective parameter of this fungus distribution was the annual mean temperature (Bio 1); the two-dimensional niche analysis indicated that the fungus has a wide precipitation range because it can live in both dry and rainy habitats as well as a range of temperatures in which it can live to certain limits. The predicted shifts should act as an alarm sign for decision makers, particularly in countries that depend on such staple crops harmed by the fungus.https://www.mdpi.com/2076-2607/11/2/468maxentspecies distribution modeling<i>Fusarium oxysporum</i>climate change |
| spellingShingle | Dalal Hussien M. Alkhalifah Eman Damra Moaz Beni Melhem Wael N. Hozzein Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data Microorganisms maxent species distribution modeling <i>Fusarium oxysporum</i> climate change |
| title | Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data |
| title_full | Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data |
| title_fullStr | Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data |
| title_full_unstemmed | Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data |
| title_short | Fungus under a Changing Climate: Modeling the Current and Future Global Distribution of <i>Fusarium oxysporum</i> Using Geographical Information System Data |
| title_sort | fungus under a changing climate modeling the current and future global distribution of i fusarium oxysporum i using geographical information system data |
| topic | maxent species distribution modeling <i>Fusarium oxysporum</i> climate change |
| url | https://www.mdpi.com/2076-2607/11/2/468 |
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