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Dung Beetle iDNA Provides an Effective Way to Detect Diverse Mycological Communities
Nimalrathna, Thilina S.; Fan, Huan; Campos-Arceiz, Ahimsa; Nakamura, Akihiro1
2025
Source PublicationMOLECULAR ECOLOGY RESOURCES
ISSN1755-098X
Volume25Issue:6Pages:-
AbstractFungi play crucial ecological and economic roles, yet their diversity and distribution remain poorly known and challenging to assess. Using recent advances in invertebrate-derived DNA (iDNA) for biodiversity monitoring, we investigated the potential of dung beetle iDNA for fungal sampling and monitoring. We sampled two habitats (rainforest vs. rubber plantation) and seasons (dry vs. rainy) in tropical Xishuangbanna, southwest China. We extracted, amplified and identified 9259 unique fungi Amplicon Sequence Variants (ASVs) from the gut of three species of dung beetles (Paragymnopleurus sp., telecoprids; Onthophagus diabolicus, paracoprids; and Onthophagus cf. gracilipes, endocoprids). Fungal community composition was different across habitats and seasons, with the highest diversity found in the rainy season rainforest. Our results were consistent with previous eDNA-based studies based on soil samples in the detection of habitat differences (both approaches were able to detect low diversity of Basidiomycota in rubber plantations). However, our approach outperformed soil-based eDNA studies in being able to detect fungal occurrences associated with seasonal precipitation patterns. Our findings highlight the utility of dung beetle iDNA to uncover spatiotemporal dynamics of fungal communities across different habitats. The use of iDNA broadens fungal biodiversity research, strengthens fungal monitoring to assess anthropogenic impacts and presents opportunities to conserve fungal diversity.
Keywordbiodiversity monitoring dung beetles eDNA fungi iDNA rainforest rubber plantation Xishuangbanna
Subject AreaBiochemistry & Molecular Biology ; Ecology ; Evolutionary Biology
DOI10.1111/1755-0998.14091
Indexed BySCI
Language英语
WOS IDWOS:001432274800001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/15661
Collection2012年后新成立研究组
Affiliation1.[Nimalrathna, Thilina S.
2.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Mengla, Yunnan, Peoples R China
3.Chinese Acad Sci, Southeast Asia Biodivers Res Inst, Mengla, Yunnan, Peoples R China
4.Fan, Huan
5.Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Mengla, Yunnan, Peoples R China
6.Yunnan Int Joint Lab Southeast Asia Biodivers Cons, Mengla, Yunnan, Peoples R China
7.Yunnan Key Lab Conservat Trop Rainforests & Asian, Mengla, Yunnan, Peoples R China
8.[Nimalrathna, Thilina S.] Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Nimalrathna, Thilina S.,Fan, Huan,Campos-Arceiz, Ahimsa,et al. Dung Beetle iDNA Provides an Effective Way to Detect Diverse Mycological Communities[J]. MOLECULAR ECOLOGY RESOURCES,2025,25(6):-.
APA Nimalrathna, Thilina S.,Fan, Huan,Campos-Arceiz, Ahimsa,&Nakamura, Akihiro.(2025).Dung Beetle iDNA Provides an Effective Way to Detect Diverse Mycological Communities.MOLECULAR ECOLOGY RESOURCES,25(6),-.
MLA Nimalrathna, Thilina S.,et al."Dung Beetle iDNA Provides an Effective Way to Detect Diverse Mycological Communities".MOLECULAR ECOLOGY RESOURCES 25.6(2025):-.
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