Deciphering environmental factors driving soil microbial elevational distribution in the southeastern Qinghai-Tibetan Plateau

被引:5
|
作者
Wang, Qi [1 ]
Wu, Xia [1 ]
Liu, Bo [1 ]
Wan, Jun [1 ]
Jin, Hong [1 ]
Tao, Ke [1 ]
Hou, Taiping [1 ]
机构
[1] Sichuan Univ, Coll Life Sci, Key Lab Bioresource & Eco Environm, Minist Educ, Chengdu 610065, Sichuan, Peoples R China
关键词
Diversity; Elevation; Environmental factors; Geographic distance; Microbial community structure; BACTERIAL COMMUNITIES; DIVERSITY; PLANT; PH; VEGETATION; GRADIENTS; DYNAMICS; PATTERNS; NITROGEN; CLIMATE;
D O I
10.1016/j.ejsobi.2022.103444
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Qinghai-Tibetan Plateau (QTP) has been ranked as one of the main hotspots of biodiversity. Many studies on microbial diversity and structure have been investigated in QTP, whereas the joint impacts of environmental properties and geographic distance that influence microbial communities along altitudinal gradient is yet poorly understood. In this paper, we investigated sites along the elevational gradient of 3270-4530 m on the southeast QTP in China, characterizing environmental properties, and systematically examined the composition, diversity patterns and the driving factors of soil microbial community structures. Elevation led to distinct changes in environmental properties. Bacterial alpha-diversity did not differ significantly among elevations, whereas fungal alpha-diversity showed a decrease pattern, which could be attributed to changes in temperature, soil moisture, pH and total carbon content. The dominant bacterial and fungal phyla were Actinobacteria (30.4%), Proteobacteria (24.1%) and Acidobacteria (14.7%), and Ascomycota (52.3%), Basidiomycota (32.6%) and Mortierellomycota (13.9%), respectively. Notable distance-decay of microbial community was observed across environmental factors and geographic distance. Partial Mantel tests indicated that differences in bacterial community were driven by the joint impacts of environmental factors and geographic distance, while differences in fungal community were primarily driven by a sole impact of environmental factors. The multiple regression on matrices (MRM) model explained 79% of the variability in bacterial community similarity, with pH being the most important variables, followed by soil moisture, elevation, AK content and geographic distance. The proportion of variance explained by MRM model was 55%, with elevation and TN content being the main variables altering the soil fungal structure. In summary, our findings suggested that alpha-diversity patterns, and the driving factors of the bacterial and fungal community structure were different, and environmental factors and geographic distance played different roles on the bacterial and fungal community structures.
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页数:8
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