Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates

Muharrem Türkkan; Göksel Özer; Sibel Derviş

doi:10.29278/azd.1763477

TR EN

Pythium, Globisporangium ve Phytopythium İzolatlarındaki Farklılaşan Termal Nişlerin, Sıcaklığa Bağlı Misel Gelişiminin Doğrusal Olmayan Modelleme ile Belirlenmesi

Öz

Amaç: Bu çalışmanın amacı, ekonomik öneme sahip oomycete'lerin (Pythium dissotocum, Globisporangium heterothallicum, G. intermedium, G. sylvaticum ve Phytopythium vexans) termal biyolojisini karakterize etmek için en uygun matematiksel modeli belirlemek ve bu modelleri kullanarak patojenlerin sıcaklık nişlerini ortaya çıkarmaktır. Bu sayede, hastalık epidemiyolojisi ve iklime dayalı yönetim stratejileri için temel bir anlayış oluşturulması hedeflenmektedir. Materyal ve Yöntem: Çalışmada, Pythium dissotocum, Globisporangium heterothallicum, G. intermedium, G. sylvaticum ve Phytopythium vexans'a ait 18 izolat materyal olarak kullanılmıştır. Bu izolatların misel gelişimlerine ilişkin deneysel veriler toplanmıştır. Toplanan veriler, on dört farklı doğrusal olmayan model kullanılarak analiz edilmiştir. Modellerin performansı, bilgi-teorik bir yaklaşımla karşılaştırılarak çok kriterli bir değerlendirmeye tabi tutulmuştur. Araştırma Bulguları: Yapılan karşılaştırmalar sonucunda, asimetrik fonksiyonların, özellikle de Briere2 modelinin, oomycete'lerin doğrusal olmayan termal tepkilerini tanımlamada üstün olduğu kanıtlanmıştır. Briere2 modeli, incelenen 18 izolattan 12'si için en uygun model olarak belirlenmiştir. Bu modelleme ile patojenlerin termal nişlerinde belirgin bir ayrım gözlemlenmiştir: P. vexans (Topt: 26.46–26.98°C) ve G. sylvaticum (Topt: 25.58–27.16°C) izolatları daha sıcak iklimlere adaptasyon gösterirken, G. heterothallicum (Topt: 20.65–22.06°C) daha serin termal optimumlara sahip olduğu saptanmıştır. Sonuç: Bu çalışma, oomycete'lerin termal biyolojisini modellemek için kesin bir metodolojik örnek oluşturmuş ve bu patojenler için kritik ampirik parametreler sağlamıştır. Elde edilen bulgular, tarımsal ortamlarda tahmine dayalı hastalık izleme sistemlerini geliştirmek ve iklim değişikliğine uyumlu, sağlam yönetim stratejileri formüle etmek için temel bir zemin sunmaktadır.

Anahtar Kelimeler

Pythium benzeri funguslar, Miselyal büyüme, Kardinal sıcaklıklar, Doğrusal olmayan regresyon modelleri, Termal adaptasyon, Model seçimi, Oomycete ekoloji

Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates

Öz

Objective: The purpose of this research is to identify the most suitable mathematical model for characterizing the thermal biology of economically important oomycetes (Pythium dissotocum, Globisporangium heterothallicum, G. intermedium, G. sylvaticum, and Phytopythium vexans) and to use these models to define the thermal niches of these pathogens. The goal is to establish a fundamental understanding for disease epidemiology and climate-driven management strategies. Materials and Methods: In this study, 18 isolates belonging to Pythium dissotocum, Globisporangium heterothallicum, G. intermedium, G. sylvaticum, and Phytopythium vexans were used as material. Empirical data on the mycelial growth of these isolates were collected. The collected data were analyzed using fourteen different nonlinear models. The performance of the models was subjected to a multi-criteria evaluation and compared using an information-theoretic approach. Results: The comparisons unequivocally demonstrated the superiority of asymmetric functions, most notably the Briere2 model, in describing the nonlinear thermal responses of the oomycetes. The Briere2 model was identified as the optimal model for 12 of the 18 isolates studied. This modeling revealed a distinct partitioning of thermal niches: P. vexans (Topt: 26.46–26.98°C) and G. sylvaticum (Topt: 25.58–27.16°C) isolates showed clear adaptations to warmer climates, in contrast to the cooler thermal optima of G. heterothallicum (Topt: 20.65–22.06°C). Conclusion: This work establishes a definitive methodological precedent for modeling the thermal biology of oomycetes and provides critical empirical parameterization for these pathogens. The findings offer an essential foundation for advancing predictive disease forecasting and for formulating robust, climate-driven management strategies in agricultural environments.

Anahtar Kelimeler

Pythium-like fungi, Mycelial growth, Cardinal temperatures, Nonlinear regression models, Thermal adaptation, Model selection, Oomycete ecology

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Fitopatoloji

Bölüm

Araştırma Makalesi

Yazarlar

Muharrem Türkkan ^*
0000-0001-7779-9365
Türkiye

Göksel Özer
0000-0002-3385-2520
Türkiye

Sibel Derviş
0000-0002-4917-3813
Türkiye

Yayımlanma Tarihi

29 Aralık 2025

Gönderilme Tarihi

12 Ağustos 2025

Kabul Tarihi

1 Ekim 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 14 Sayı: 2

DOI

https://doi.org/10.29278/azd.1763477

IZ

https://izlik.org/JA62RH82ED

APA

Türkkan, M., Özer, G., & Derviş, S. (2025). Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates. Akademik Ziraat Dergisi, 14(2), 189-203. https://doi.org/10.29278/azd.1763477

AMA

1.Türkkan M, Özer G, Derviş S. Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates. Akademik Ziraat Dergisi. 2025;14(2):189-203. doi:10.29278/azd.1763477

Chicago

Türkkan, Muharrem, Göksel Özer, ve Sibel Derviş. 2025. “Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates”. Akademik Ziraat Dergisi 14 (2): 189-203. https://doi.org/10.29278/azd.1763477.

EndNote

Türkkan M, Özer G, Derviş S (01 Aralık 2025) Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates. Akademik Ziraat Dergisi 14 2 189–203.

IEEE

[1]M. Türkkan, G. Özer, ve S. Derviş, “Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates”, Akademik Ziraat Dergisi, c. 14, sy 2, ss. 189–203, Ara. 2025, doi: 10.29278/azd.1763477.

ISNAD

Türkkan, Muharrem - Özer, Göksel - Derviş, Sibel. “Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates”. Akademik Ziraat Dergisi 14/2 (01 Aralık 2025): 189-203. https://doi.org/10.29278/azd.1763477.

JAMA

1.Türkkan M, Özer G, Derviş S. Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates. Akademik Ziraat Dergisi. 2025;14:189–203.

MLA

Türkkan, Muharrem, vd. “Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates”. Akademik Ziraat Dergisi, c. 14, sy 2, Aralık 2025, ss. 189-03, doi:10.29278/azd.1763477.

Vancouver

1.Muharrem Türkkan, Göksel Özer, Sibel Derviş. Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates. Akademik Ziraat Dergisi. 01 Aralık 2025;14(2):189-203. doi:10.29278/azd.1763477

Pythium, Globisporangium ve Phytopythium İzolatlarındaki Farklılaşan Termal Nişlerin, Sıcaklığa Bağlı Misel Gelişiminin Doğrusal Olmayan Modelleme ile Belirlenmesi

Öz

Anahtar Kelimeler

Nonlinear Modeling of Temperature-Driven Mycelial Growth Reveals Divergent Thermal Niches in Pythium, Globisporangium, and Phytopythium Isolates

Öz

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