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Contrasting adaptations of soil prokaryotes and arbuscular mycorrhizal fungi in saline wildland and non-saline farmland

Huanhuan ZhuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaKobilov FazliddinInstitute of Microbiology Academy of Science of the Republic of Uzbekistan, Tashkent 100128, UzbekistanQiushi LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCong WangState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, ChinaPeilin ChenState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, ChinaJianxia YangState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, ChinaQiang DongState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, ChinaXingchun LiState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, ChinaDavranov KakhramonInstitute of Microbiology Academy of Science of the Republic of Uzbekistan, Tashkent 100128, UzbekistanGulyamova ToshkhonInstitute of Microbiology Academy of Science of the Republic of Uzbekistan, Tashkent 100128, UzbekistanYu BoCAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Chinese Academy of Sciences, Beijing 100101, ChinaHua XiangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCheng GaoCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Fundamental Researchjournal2025en
ABI

Аннотация

Understanding the environmental adaptation of microbiota is essential for ecosystem management. However, the difference in community structure of prokaryotes and arbuscular mycorrhizal (AM) fungi between saline wildland and non-saline farmland remains unclear. Here, we performed 18S rDNA sequencing to detect AM fungi and 16S rDNA sequencing to detect prokaryotes for soils collected in wildlands (bareland, Suaeda, and Tamarix lands) and farmlands (cotton and maize lands) in Uzbekistan. Higher beta diversity, stronger effects of ecological drift, and a simplified co-occurrence network were detected for AM fungal community in farmland compared to wildland, likely due to the formation of patchy communities with a small number of individuals (low abundance) caused by tillage and reduced universality of AM fungal community dynamics, i.e., interactions among AM fungi and their environment, might be stable in wildland but not in farmland. In contrast, lower beta diversity, weaker effects of ecological drift and dispersal limitation, and a complexified co-occurrence network were detected for prokaryotic community in farmland than in wildland, likely due to community homogenization caused by tillage that increases the odds of encounters between different prokaryotic taxa. Besides, larger average genome size and higher community-weighted rDNA copy number were detected for prokaryotes in wildland than in farmland, alongside the rise of Acinetobacter members and functional enrichment of stress (salinity) tolerance. Our findings suggest that prokaryotic and AM fungal communities are actively responsive to the changes in salinity, resources, and disturbance, and this pattern could be harnessed for saline land reclamation practices.

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