1] Plankton Ecology and Limnology Laboratory, Department of Biology, University of Oklahoma, Norman, OK, USA [2] Program in Ecology and Evolutionary Biology, Department of Biology, University of Oklahoma, Norman, OK, USA [3] Biological Station, Department of Biology, University of Oklahoma, Norman, OK, USA.
1] Plankton Ecology and Limnology Laboratory, Department of Biology, University of Oklahoma, Norman, OK, USA [2] Program in Ecology and Evolutionary Biology, Department of Biology, University of Oklahoma, Norman, OK, USA.
ISME J. 2015 Jan;9(1):256-64. doi: 10.1038/ismej.2014.103. Epub 2014 Jun 20.
Growing attention in aquatic ecology is focusing on biogeographic patterns in microorganisms and whether these potential patterns can be explained within the framework of general ecology. The long-standing microbiologist's credo 'Everything is everywhere, but, the environment selects' suggests that dispersal is not limiting for microbes, but that the environment is the primary determining factor in microbial community composition. Advances in molecular techniques have provided new evidence that biogeographic patterns exist in microbes and that dispersal limitation may actually have an important role, yet more recent study using extremely deep sequencing predicts that indeed everything is everywhere. Using a long-term field study of the 'invasive' marine haptophyte Prymnesium parvum, we characterize the environmental niche of P. parvum in a subtropical impoundment in the southern United States. Our analysis contributes to a growing body of evidence that indicates a primary role for environmental conditions, but not dispersal, in the lake-wide abundances and seasonal bloom patterns in this globally important microbe.
水生生态学越来越关注微生物的生物地理格局,以及这些潜在的格局是否可以用一般生态学的框架来解释。长期以来,微生物学家的信条“万物皆在各处,但环境选择”表明,扩散对于微生物来说并不是限制因素,而是环境是微生物群落组成的主要决定因素。分子技术的进步提供了新的证据,表明微生物存在生物地理格局,扩散限制可能实际上起着重要作用,但最近使用极深测序的研究预测,实际上万物皆在各处。我们利用对美国南部亚热带水坝中“入侵”海洋甲藻 P. parvum 的长期实地研究,描述了 P. parvum 在该湖中的环境生态位。我们的分析为越来越多的证据做出了贡献,这些证据表明,环境条件而不是扩散在这个具有全球重要意义的微生物的全湖丰度和季节性爆发模式中起着主要作用。