Rao Subramanya, Chan Yuki, Bugler-Lacap Donnabella C, Bhatnagar Ashish, Bhatnagar Monica, Pointing Stephen B
Institute for Applied Ecology New Zealand, School of Applied Sciences, Auckland University of Technology, Auckland, 1142 New Zealand.
Department of Microbiology, Maharshi Dayanand Saraswathi University, Ajmer, Rajasthan India.
Indian J Microbiol. 2016 Mar;56(1):35-45. doi: 10.1007/s12088-015-0549-1. Epub 2015 Aug 21.
A culture-independent diversity assessment of archaea, bacteria and fungi in the Thar Desert in India was made. Six locations in Ajmer, Jaisalmer, Jaipur and Jodhupur included semi-arid soils, arid soils, arid sand dunes, plus arid cryptoendolithic substrates. A real-time quantitative PCR approach revealed that bacteria dominated soils and cryptoendoliths, whilst fungi dominated sand dunes. The archaea formed a minor component of all communities. Comparison of rRNA-defined community structure revealed that substrate and climate rather than location were the most parsimonious predictors. Sequence-based identification of 1240 phylotypes revealed that most taxa were common desert microorganisms. Semi-arid soils were dominated by actinobacteria and alpha proteobacteria, arid soils by chloroflexi and alpha proteobacteria, sand dunes by ascomycete fungi and cryptoendoliths by cyanobacteria. Climatic variables that best explained this distribution were mean annual rainfall and maximum annual temperature. Substrate variables that contributed most to observed diversity patterns were conductivity, soluble salts, Ca(2+) and pH. This represents an important addition to the inventory of desert microbiota, novel insight into the abiotic drivers of community assembly, and the first report of biodiversity in a monsoon desert system.
对印度塔尔沙漠中的古菌、细菌和真菌进行了一项不依赖培养的多样性评估。阿杰梅尔、斋沙默尔、斋浦尔和焦特布尔的六个地点包括半干旱土壤、干旱土壤、干旱沙丘以及干旱的隐生内岩石基质。一种实时定量PCR方法显示,细菌在土壤和隐生内岩石中占主导地位,而真菌在沙丘中占主导地位。古菌在所有群落中占较小部分。对基于rRNA定义的群落结构的比较表明,底物和气候而非地点是最简约的预测因子。对1240个系统发育型的基于序列的鉴定显示,大多数分类群是常见的沙漠微生物。半干旱土壤以放线菌和α-变形菌为主,干旱土壤以绿弯菌和α-变形菌为主,沙丘以子囊菌真菌为主,隐生内岩石以蓝细菌为主。最能解释这种分布的气候变量是年平均降雨量和年最高温度。对观察到的多样性模式贡献最大的底物变量是电导率、可溶性盐、Ca(2+)和pH值。这是沙漠微生物群落清单的一项重要补充,对群落组装的非生物驱动因素有了新的认识,也是季风沙漠系统中生物多样性的首次报告。