Zou Zehao, Yuan Ke, Ming Lili, Li Zhaohong, Yang Ying, Yang Ruiqiang, Cheng Weibin, Liu Hongtao, Jiang Jie, Luan Tiangang, Chen Baowei
Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-sen University, Guangzhou, China.
Technical Center of Gongbei Customs District, Zhuhai, China.
Front Microbiol. 2022 May 4;13:839499. doi: 10.3389/fmicb.2022.839499. eCollection 2022.
The alpine ecosystem as one of the most representative terrestrial ecosystems has been highly concerned due to its susceptibility to anthropogenic impacts and climatic changes. However, the distribution pattern of alpine soil bacterial communities and related deterministic factors still remain to be explored. In this study, soils were collected from different altitudes and slope aspects of the Mount (Mt.) Shergyla, Tibetan Plateau, and were analyzed using 16S rRNA gene-based bioinformatics approaches. Acidobacteriota and Proteobacteria were identified consistently as the two predominant phyla in all soil samples, accounting for approximately 74% of the bacterial community. The alpha diversity of the soil bacterial community generally increased as the vegetation changed with the elevated altitude, but no significant differences in alpha diversity were observed between the two slopes. Beta diversity analysis of bacterial community showed that soil samples from the north slope were always differentiated obviously from the paired samples at the south slope with the same altitude. The whole network constituted by soil bacterial genera at the Mt. Shergyla was parsed into eight modules, and Elev-16S-573, Sericytochromatia, KD4-96, TK10, Pedomicrobium, and IMCC26256 genera were identified as the "hubs" in the largest module. The distance-based redundancy analysis (db-RDA) demonstrated that variations in soil bacterial community thereof with the altitude and slope aspects at the Mt. Shergyla were closely associated with environmental variables such as soil pH, soil water content, metal concentrations, etc. Our results suggest that environmental variables could serve as the deterministic factors for shaping the spatial pattern of soil bacterial community in the alpine ecosystems.
高山生态系统作为最具代表性的陆地生态系统之一,因其易受人为影响和气候变化的影响而备受关注。然而,高山土壤细菌群落的分布模式及相关的确定性因素仍有待探索。在本研究中,从青藏高原色季拉山不同海拔和坡向采集土壤,并采用基于16S rRNA基因的生物信息学方法进行分析。酸杆菌门和变形菌门在所有土壤样本中始终被确定为两个主要门类,约占细菌群落的74%。土壤细菌群落的α多样性一般随着海拔升高植被变化而增加,但在两个坡向之间未观察到α多样性的显著差异。细菌群落的β多样性分析表明,北坡的土壤样本总是与南坡相同海拔的配对样本明显区分开来。色季拉山由土壤细菌属构成的整个网络被解析为八个模块,其中Elev-16S-573、嗜血清色杆菌属、KD4-96、TK10、土微菌属和IMCC26256属被确定为最大模块中的“枢纽”。基于距离的冗余分析(db-RDA)表明,色季拉山土壤细菌群落随海拔和坡向的变化与土壤pH值、土壤含水量、金属浓度等环境变量密切相关。我们的结果表明,环境变量可能是塑造高山生态系统土壤细菌群落空间格局的确定性因素。