Evidence map›Paper›PMID 25880302›Full record

ArticleBMC bioinformatics2015

MetCap: a bioinformatics probe design pipeline for large-scale targeted metagenomics.

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

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In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. OLTA: Optimizing bait seLection for TArgeted sequencing.Bioinformatics (Oxford, England) · 2025
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  10. Heliyon · 2024
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  11. Article
  12. Syotti: scalable bait design for DNA enrichment.Bioinformatics (Oxford, England) · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Captured metagenomics: large-scale targeting of genes based on 'sequence capture' reveals functional diversity in soils.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sandeep K KushwahaDepartment of Biology, Lund University, Ecology Building, 223 62, Lund, Sweden. sandeep.kushwaha@biol.lu.se.
Lokeshwaran ManoharanDepartment of Biology, Lund University, Ecology Building, 223 62, Lund, Sweden. lokeshwaran.manoharan@biol.lu.se.
Tejashwari MeerupatiDepartment of Biology, Lund University, Ecology Building, 223 62, Lund, Sweden. tejashwari.meerupati@biol.lu.se.
Katarina HedlundDepartment of Biology, Lund University, Ecology Building, 223 62, Lund, Sweden. katarina.hedlund@biol.lu.se.
Dag AhrénDepartment of Biology, Lund University, Ecology Building, 223 62, Lund, Sweden. dag.ahren@biol.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMassive sequencing of genes from different environments has evolved metagenomics as central to enhancing the understanding of the wide diversity of micro-organisms and their roles in driving ecological processes. Reduced cost and high throughput sequencing has made large-scale projects achievable to a wider group of researchers, though complete metagenome sequencing is still a daunting task in terms of sequencing as well as the downstream bioinformatics analyses. Alternative approaches such as targeted amplicon sequencing requires custom PCR primer generation, and is not scalable to thousands of genes or gene families.

resultsIn this study, we are presenting a web-based tool called MetCap that circumvents the limitations of amplicon sequencing of multiple genes by designing probes that are suitable for large-scale targeted metagenomics sequencing studies. MetCap provides a novel approach to target thousands of genes and genomic regions that could be used in targeted metagenomics studies. Automatic analysis of user-defined sequences is performed, and probes specifically designed for metagenome studies are generated. To illustrate the advantage of a targeted metagenome approach, we have generated more than 400,000 probes that match more than 300,000 [corrected] publicly available sequences related to carbon degradation, and used these probes for target sequencing in a soil metagenome study. The results show high enrichment of target genes and a successful capturing of the majority of gene families. MetCap is freely available to users from: http://soilecology.biol.lu.se/metcap/ .

conclusionMetCap is facilitating probe-based target enrichment as an easy and efficient alternative tool compared to complex primer-based enrichment for large-scale investigations of metagenomes. Our results have shown efficient large-scale target enrichment through MetCap-designed probes for a soil metagenome. The web service is suitable for any targeted metagenomics project that aims to study several genes simultaneously. The novel bioinformatics approach taken by the web service will enable researchers in microbial ecology to tap into the vast diversity of microbial communities using targeted metagenomics as a cost-effective alternative to whole metagenome sequencing.

Indexed as

MetagenomeSoftwareComputational BiologyDNA PrimersEcologyEnvironmentMetagenomicsSequence Analysis, DNASoilDNA PrimersSoil

Identifiers

PMID25880302
PMCPMC4355349

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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.