PDF(Pubmed)
Abstract：
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.
摘要：
高寒生态系统作为最具代表性的陆地生态系统之一,由于易受人为影响和气候变化的影响而受到高度关注。然而,高寒土壤细菌群落分布格局及相关的决定因素仍有待探索。在这项研究中,土壤是从山的不同海拔和坡度方面收集的（山。)Shergyla,青藏高原,并使用基于16SrRNA基因的生物信息学方法进行分析。在所有土壤样品中，酸杆菌和变形杆菌被一致地鉴定为两个主要的门。约占细菌群落的74%。土壤细菌群落的α多样性一般随着植被随海拔升高而变化而增加,但是在两个斜坡之间没有观察到α多样性的显着差异。细菌群落的β多样性分析表明，北坡的土壤样品总是与相同海拔的南坡的配对样品明显区分。由Mt的土壤细菌属构成的整个网络。Shergyla被分析成八个模块,和Elev-16S-573,KD4-96,TK10,pedomicrombium,和IMCC26256属被确定为最大模块中的“集线器”。基于距离的冗余分析（db-RDA）表明，其土壤细菌群落随Mt的海拔和坡度变化。Shergyla与环境变量如土壤pH值密切相关，土壤含水量，金属浓度,等。我们的结果表明，环境变量可以作为塑造高山生态系统中土壤细菌群落空间格局的决定性因素。
