Evidence map›Paper›PMID 21076656›Full record

ArticleSoil biology & biochemistry2010

Size Does Matter: Application-driven Approaches for Soil Metagenomics.

Kavita S Kakirde, Larissa C Parsley, Mark R Liles

Abstract read
In one paragraph

Article in Soil biology & biochemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Review
  2. The MetaGens algorithm for metagenomic database lossy compression and subject alignment.Database : the journal of biological databases and curation · 2023
    Article
  3. Designing Knowledge-Based Bioremediation Strategies Using Metagenomics.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. DominantFood science and biotechnology · 2021
    Article
  8. Polish journal of microbiology · 2020
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kavita S KakirdeDepartment of Biological Sciences, Auburn University, Auburn, AL 36849.
Larissa C Parsley
Mark R Liles

Funding

Evaluation of Novel Antimicrobial Agents and a Novel Shuttle VectorR21AI083852 · NIAID · AUBURN UNIVERSITY AT AUBURN · PI LILES, MARK R · 2009 to 2010
$411k
NIAID NIH HHS R21 AI083852
6 · The paper itself

Abstract

Metagenomic analyses can provide extensive information on the structure, composition, and predicted gene functions of diverse environmental microbial assemblages. Each environment presents its own unique challenges to metagenomic investigation and requires a specifically designed approach to accommodate physicochemical and biotic factors unique to each environment that can pose technical hurdles and/or bias the metagenomic analyses. In particular, soils harbor an exceptional diversity of prokaryotes that are largely undescribed beyond the level of ribotype and are a potentially vast resource for natural product discovery. The successful application of a soil metagenomic approach depends on selecting the appropriate DNA extraction, purification, and if necessary, cloning methods for the intended downstream analyses. The most important technical considerations in a metagenomic study include obtaining a sufficient yield of high-purity DNA representing the targeted microorganisms within an environmental sample or enrichment and (if required) constructing a metagenomic library in a suitable vector and host. Size does matter in the context of the average insert size within a clone library or the sequence read length for a high-throughput sequencing approach. It is also imperative to select the appropriate metagenomic screening strategy to address the specific question(s) of interest, which should drive the selection of methods used in the earlier stages of a metagenomic project (e.g., DNA size, to clone or not to clone). Here, we present both the promising and problematic nature of soil metagenomics and discuss the factors that should be considered when selecting soil sampling, DNA extraction, purification, and cloning methods to implement based on the ultimate study objectives.

Identifiers

PMID21076656
PMCPMC2976544

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.