Literature DB >> 24193204

Microbial community analysis in incompletely or destructively sampled systems.

L L Kinkel1, E V Nordheim, J H Andrews.   

Abstract

Analyses of microbial community dynamics are often constrained by the destructive, indirect, and incomplete nature of most sampling techniques. These methodological constraints compel assumptions that are rarely verified about the relationships among separate communities. We evaluated the consequences for community analysis of the common assumption that separate microbial communities are described by the same species abundance distribution. Sample data were generated from simulated communities in which the species abundance distributions were the same or were different. Samples from communities that had the same number of species or were described by the same species abundance distribution sometimes had significantly different numbers of species. Samples from simulated communities that had different species number-species abundance distribution combinations sometimes contained indistinguishable numbers of species. When sampling from independent communities described by unknown distributions (e.g., microbial communities on plant surfaces), the simulations showed that standardization of sample size (number of individuals or colony-forming units) does not guarantee samples of equal proportions of the total species in a community. Sample sizes that are logistically feasible for many microbial systems will provide only limited information for differentiating species numbers or species abundance distributions among separate communities over time. For ecologists studying destructively or incompletely sampled communities this seriously influences both the sample designs that are reasonable and the questions that can be addressed in such systems.

Year:  1992        PMID: 24193204     DOI: 10.1007/BF00167783

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  7 in total

1.  On some modes of population growth leading to R. A. Fisher's logarithmic series distribution.

Authors:  D G KENDALL
Journal:  Biometrika       Date:  1948-05       Impact factor: 2.445

2.  Fungal immigration dynamics and community development on apple leaves.

Authors:  L L Kinkel; J H Andrews; E V Nordheim
Journal:  Microb Ecol       Date:  1989-07       Impact factor: 4.552

3.  Fungi, leaves, and the theory of island biogeography.

Authors:  J H Andrews; L L Kinkel; F M Berbee; E V Nordheim
Journal:  Microb Ecol       Date:  1987-11       Impact factor: 4.552

4.  Colonization of a Submersed Aquatic Plant, Eurasian Water Milfoil (Myriophyllum spicatum), by Fungi under Controlled Conditions.

Authors:  C S Smith; T Chand; R F Harris; J H Andrews
Journal:  Appl Environ Microbiol       Date:  1989-09       Impact factor: 4.792

5.  Leaves as islands for microbes.

Authors:  L L Kinkel; J H Andrews; F M Berbee; E V Nordheim
Journal:  Oecologia       Date:  1987-02       Impact factor: 3.225

6.  The effect of invasion rate, species pool, and size of area on the structure of the diatom community.

Authors:  R Patrick
Journal:  Proc Natl Acad Sci U S A       Date:  1967-10       Impact factor: 11.205

7.  The form of species--abundance distributions.

Authors:  R D Routledge
Journal:  J Theor Biol       Date:  1980-02-21       Impact factor: 2.691

  7 in total
  3 in total

Review 1.  Microbial biodiversity: approaches to experimental design and hypothesis testing in primary scientific literature from 1975 to 1999.

Authors:  Cindy E Morris; Marc Bardin; Odile Berge; Pascale Frey-Klett; Nathalie Fromin; Hélène Girardin; Marie-Hélène Guinebretière; Philippe Lebaron; Jean M Thiéry; Marc Troussellier
Journal:  Microbiol Mol Biol Rev       Date:  2002-12       Impact factor: 11.056

2.  Bacterial succession on the leaf surface: a novel system for studying successional dynamics.

Authors:  Amanda J Redford; Noah Fierer
Journal:  Microb Ecol       Date:  2009-02-17       Impact factor: 4.552

3.  Single-leaf resolution of the temporal population dynamics of Aureobasidium pullulans on apple leaves.

Authors:  Scott T Woody; Russell N Spear; Erik V Nordheim; Anthony R Ives; John H Andrews
Journal:  Appl Environ Microbiol       Date:  2003-08       Impact factor: 4.792

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.