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Open AccessJournal ArticleDOI

Metagenomic and Small-Subunit rRNA Analyses Reveal the Genetic Diversity of Bacteria, Archaea, Fungi, and Viruses in Soil

TLDR
In this first study to comprehensively survey viral communities using a metagenomic approach, it is found that soil viruses are taxonomically diverse and distinct from the communities of viruses found in other environments that have been surveyed using a similar approach.
Abstract
Recent studies have highlighted the surprising richness of soil bacterial communities; however, bacteria are not the only microorganisms found in soil. To our knowledge, no study has compared the diversities of the four major microbial taxa, i.e., bacteria, archaea, fungi, and viruses, from an individual soil sample. We used metagenomic and small-subunit RNA-based sequence analysis techniques to compare the estimated richness and evenness of these groups in prairie, desert, and rainforest soils. By grouping sequences at the 97% sequence similarity level (an operational taxonomic unit [OTU]), we found that the archaeal and fungal communities were consistently less even than the bacterial communities. Although total richness levels are difficult to estimate with a high degree of certainty, the estimated number of unique archaeal or fungal OTUs appears to rival or exceed the number of unique bacterial OTUs in each of the collected soils. In this first study to comprehensively survey viral communities using a metagenomic approach, we found that soil viruses are taxonomically diverse and distinct from the communities of viruses found in other environments that have been surveyed using a similar approach. Within each of the four microbial groups, we observed minimal taxonomic overlap between sites, suggesting that soil archaea, bacteria, fungi, and viruses are globally as well as locally diverse.

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Journal ArticleDOI

Next-Generation DNA Sequencing Methods

TL;DR: An astounding potential exists for next-generation DNA sequencing technologies to bring enormous change in genetic and biological research and to enhance the authors' fundamental biological knowledge.
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The impact of next-generation sequencing technology on genetics.

TL;DR: Next-generation sequencing technologies are surveyed and it is considered how they can provide a more complete picture of how the genome shapes the organism.
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Belowground biodiversity and ecosystem functioning

TL;DR: Recent progress in understanding belowground biodiversity and its role in determining the ecological and evolutionary responses of terrestrial ecosystems to current and future environmental change are reviewed.
Journal ArticleDOI

Using network analysis to explore co-occurrence patterns in soil microbial communities

TL;DR: The potential of exploring inter-taxa correlations to gain a more integrated understanding of microbial community structure and the ecological rules guiding community assembly is demonstrated.
References
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Book

Molecular Cloning: A Laboratory Manual

TL;DR: Molecular Cloning has served as the foundation of technical expertise in labs worldwide for 30 years as mentioned in this paper and has been so popular, or so influential, that no other manual has been more widely used and influential.
Journal ArticleDOI

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.

16S/23S rRNA sequencing

D. J. Lane
Book

Measuring Biological Diversity

TL;DR: In this paper, the authors focus on the pressure humanity is placing on the natural world, and on the continued ability of ecosystems to deliver the services on which we all depend, and develop strategies to ameliorate its impact.
Journal ArticleDOI

UniFrac: a New Phylogenetic Method for Comparing Microbial Communities

TL;DR: The results illustrate that UniFrac provides a new way of characterizing microbial communities, using the wealth of environmental rRNA sequences, and allows quantitative insight into the factors that underlie the distribution of lineages among environments.
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