Archaeal β diversity patterns under the seafloor along geochemical gradients

• Published in: Journal of geophysical research. Biogeosciences 2014-09, Vol.119 (9), p.1770-1788
• Main Authors: Koyano, Hitoshi, Tsubouchi, Taishi, Kishino, Hirohisa, Akutsu, Tatsuya
• Format: Article
• Language: English
• Subjects: Archaea; beta diversity; Communities; Construction; Drilling; geochemical gradients; Geochemistry; Marine; Populations; Sea beds; Sediments; Sequences
• ISSN: 2169-8953; 2169-8961
• DOI: 10.1002/2014JG002676

Recently, deep drilling into the seafloor has revealed that there are vast sedimentary ecosystems of diverse microorganisms, particularly archaea, in subsurface areas. We investigated the β diversity patterns of archaeal communities in sediment layers under the seafloor and their determinants. This study was accomplished by analyzing large environmental samples of 16S ribosomal RNA gene sequences and various geochemical data collected from a sediment core of 365.3 m, obtained by drilling into the seafloor off the east coast of the Shimokita Peninsula. To extract the maximum amount of information from these environmental samples, we first developed a method for measuring β diversity using sequence data by applying probability theory on a set of strings developed by two of the authors in a previous publication. We introduced an index of β diversity between sequence populations from which the sequence data were sampled. We then constructed an estimator of the β diversity index based on the sequence data and demonstrated that it converges to the β diversity index between sequence populations with probability of 1 as the number of sampled sequences increases. Next, we applied this new method to quantify β diversities between archaeal sequence populations under the seafloor and constructed a quantitative model of the estimated β diversity patterns. Nearly 90% of the variation in the archaeal β diversity was explained by a model that included as variables the differences in the abundances of chlorine, iodine, and carbon between the sediment layers. Key Points Method for estimating beta diversity with sequence data was developedBeta diversities between eight archaeal communities were estimatedModel of archaeal beta diversity patterns was constructed