title: Quantifying biodiversity and asymptotics for a sequence of random strings.
abstract: We present a methodology for quantifying biodiversity at the sequence level by developing the probability theory on a set of strings. Further, we apply our methodology to the problem of quantifying the population diversity of microorganisms in several extreme environments and digestive organs and reveal the relation between microbial diversity and various environmental parameters.
authors.affiliation: Graduate School of Agricultural and Life Sciences, University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan. h-koyano@zc4.so-net.ne.jp
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Koyano
authors.forename: Hirohisa
authors.initials: H
authors.lastname: Kishino
mesh_terms: D000864:Antarctic Regions; D044822:Biodiversity; D001703:Biophysics / Q000379:methods*; D004463:Ecology; D014644:Genetic Variation; D006863:Hydrogen-Ion Concentration; D008829:Microbiology; D009711:Nucleotides / Q000235:genetics; D010100:Oxygen / Q000737:chemistry; D010802:Phylogeny; D011312:Pressure; D011336:Probability; D012336:RNA, Ribosomal, 16S / Q000737:chemistry; D018401:Sample Size; D013696:Temperature
chemical_list: D009711:Nucleotides; D012336:RNA, Ribosomal, 16S; D010100:Oxygen