Evidence map›Paper›PMID 26490729›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2015

Captured metagenomics: large-scale targeting of genes based on 'sequence capture' reveals functional diversity in soils.

Lokeshwaran Manoharan, Sandeep K Kushwaha, Katarina Hedlund, Dag Ahrén

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  7. Selection for novel metabolic capabilities in Salmonella enterica.Evolution; international journal of organic evolution · 2019
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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

4 authors.

Lokeshwaran ManoharanDepartment of Biology, Lund University, Lund 223 62, Sweden lokeshwaran.manoharan@biol.lu.se.
Sandeep K KushwahaDepartment of Biology, Lund University, Lund 223 62, Sweden Bioinformatics Infrastructure for Life Sciences (BILS), Lund University, Lund, Sweden PlantLink, Swedish University of Agriculture Sciences, Alnarp, Sweden.
Katarina HedlundDepartment of Biology, Lund University, Lund 223 62, Sweden.
Dag AhrénDepartment of Biology, Lund University, Lund 223 62, Sweden Bioinformatics Infrastructure for Life Sciences (BILS), Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial enzyme diversity is a key to understand many ecosystem processes. Whole metagenome sequencing (WMG) obtains information on functional genes, but it is costly and inefficient due to large amount of sequencing that is required. In this study, we have applied a captured metagenomics technique for functional genes in soil microorganisms, as an alternative to WMG. Large-scale targeting of functional genes, coding for enzymes related to organic matter degradation, was applied to two agricultural soil communities through captured metagenomics. Captured metagenomics uses custom-designed, hybridization-based oligonucleotide probes that enrich functional genes of interest in metagenomic libraries where only probe-bound DNA fragments are sequenced. The captured metagenomes were highly enriched with targeted genes while maintaining their target diversity and their taxonomic distribution correlated well with the traditional ribosomal sequencing. The captured metagenomes were highly enriched with genes related to organic matter degradation; at least five times more than similar, publicly available soil WMG projects. This target enrichment technique also preserves the functional representation of the soils, thereby facilitating comparative metagenomics projects. Here, we present the first study that applies the captured metagenomics approach in large scale, and this novel method allows deep investigations of central ecosystem processes by studying functional gene abundances.

Indexed as

Genes, BacterialGenes, MicrobialMetagenomeSoil MicrobiologyHigh-Throughput Nucleotide SequencingMetagenomics454 pyrosequencingcomparative metagenomicsfunctional diversitymicrobial ecologysequence capture

Identifiers

PMID26490729
PMCPMC4675713

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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.