The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.
High-Throughput Metagenomic Technologies for Complex Microbial Community Analysis: Open and Closed Formats
Open accessAbstract
Understanding the structure, functions, activities and dynamics of microbial communities in natural environments is one of the grand challenges of 21st century science. To address this challenge, over the past decade, numerous technologies have been developed for interrogating microbial communities, of which some are amenable to exploratory work (e.g., high-throughput sequencing and phenotypic screening) and others depend on reference genes or genomes (e.g., phylogenetic and functional gene arrays). Here, we provide a critical review and synthesis of the most commonly applied “open-format” and “closed-format” detection technologies. We discuss their characteristics, advantages, and disadvantages within the context of environmental applications and focus on analysis of complex microbial systems, such as those in soils, in which diversity is high and reference genomes are few. In addition, we discuss crucial issues and considerations associated with applying complementary high-throughput molecular technologies to address important ecological questions.
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Cites
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Stochastic Community Assembly: Does It Matter in Microbial Ecology?
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Self-citationA general framework for quantitatively assessing ecological stochasticity
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Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution
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Metadata
- Authors
- Zhou, J., He, Z., Yang, Y., Deng, Y., Tringe, S. G., & Alvarez-Cohen, L.
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2015-02-27
- Volume
- 6
- Issue
- 1
- ISSN
- 2150-7511 (ISSN-L)
- 2161-2129
- OpenAlex
- W2165108567
- Cited by
- 474
- References
- 146
- FWCI
- 18.53
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhou, J., He, Z., Yang, Y., Deng, Y., Tringe, S. G., & Alvarez-Cohen, L. (2015). High-Throughput Metagenomic Technologies for Complex Microbial Community Analysis: Open and Closed Formats. mBio. https://doi.org/10.1128/mbio.02288-14
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