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理化因素对马来西亚中性温泉中原核生物多样性的影响。

Effects of Physiochemical Factors on Prokaryotic Biodiversity in Malaysian Circumneutral Hot Springs.

作者信息

Chan Chia S, Chan Kok-Gan, Ee Robson, Hong Kar-Wai, Urbieta María S, Donati Edgardo R, Shamsir Mohd S, Goh Kian M

机构信息

Faculty of Biosciences and Medical Engineering, Universiti Teknologi MalaysiaSkudai, Malaysia.

Division of Genetics and Molecular Biology, Faculty of Science, Institute of Biological Sciences, University of MalayaKuala Lumpur, Malaysia.

出版信息

Front Microbiol. 2017 Jul 6;8:1252. doi: 10.3389/fmicb.2017.01252. eCollection 2017.

Abstract

Malaysia has a great number of hot springs, especially along the flank of the Banjaran Titiwangsa mountain range. Biological studies of the Malaysian hot springs are rare because of the lack of comprehensive information on their microbial communities. In this study, we report a cultivation-independent census to describe microbial communities in six hot springs. The Ulu Slim (US), Sungai Klah (SK), Dusun Tua (DT), Sungai Serai (SS), Semenyih (SE), and Ayer Hangat (AH) hot springs exhibit circumneutral pH with temperatures ranging from 43°C to 90°C. Genomic DNA was extracted from environmental samples and the V3-V4 hypervariable regions of 16S rRNA genes were amplified, sequenced, and analyzed. High-throughput sequencing analysis showed that microbial richness was high in all samples as indicated by the detection of 6,334-26,244 operational taxonomy units. In total, 59, 61, 72, 73, 65, and 52 bacterial phyla were identified in the US, SK, DT, SS, SE, and AH hot springs, respectively. Generally, Firmicutes and Proteobacteria dominated the bacterial communities in all hot springs. Archaeal communities mainly consisted of Crenarchaeota, Euryarchaeota, and Parvarchaeota. In beta diversity analysis, the hot spring microbial memberships were clustered primarily on the basis of temperature and salinity. Canonical correlation analysis to assess the relationship between the microbial communities and physicochemical variables revealed that diversity patterns were best explained by a combination of physicochemical variables, rather than by individual abiotic variables such as temperature and salinity.

摘要

马来西亚有大量温泉,尤其是在大汉山山脉沿线。由于缺乏关于其微生物群落的全面信息,对马来西亚温泉的生物学研究很少。在本研究中,我们报告了一项非培养普查,以描述六个温泉中的微生物群落。乌鲁斯利姆(US)、双溪克拉(SK)、杜顺图阿(DT)、双溪色赖(SS)、士毛月(SE)和亚逸汉吉(AH)温泉的pH值呈中性,温度范围为43°C至90°C。从环境样本中提取基因组DNA,并对16S rRNA基因的V3-V4高变区进行扩增、测序和分析。高通量测序分析表明,所有样本中的微生物丰富度都很高,检测到6334-26244个可操作分类单元即表明了这一点。在美国、SK、DT、SS、SE和AH温泉中,分别鉴定出了59、61、72、73、65和52个细菌门。一般来说,厚壁菌门和变形菌门在所有温泉的细菌群落中占主导地位。古菌群落主要由泉古菌门、广古菌门和微小古菌门组成。在β多样性分析中,温泉微生物群落主要根据温度和盐度进行聚类。用于评估微生物群落与理化变量之间关系的典范相关分析表明,多样性模式最好由理化变量的组合来解释,而不是由温度和盐度等单个非生物变量来解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0118/5498555/b8bf28d0df11/fmicb-08-01252-g0001.jpg

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