Evidence map›Paper›PMID 26246894›Full record

ArticleMicrobiome2015

Xander: employing a novel method for efficient gene-targeted metagenomic assembly.

Qiong Wang, Jordan A Fish, Mariah Gilman, Yanni Sun, C Titus Brown, James M Tiedje, James R Cole

Abstract read
In one paragraph

Article in Microbiome, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Trial
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  6. IntegratedNAR genomics and bioinformatics · 2023
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  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Aryl Hydrocarbon Receptor (AhR) Activation by 2,3,7,8-Tetrachlorodibenzo-International journal of molecular sciences · 2021
    Article
  14. Review
  15. Molecular Communications in Viral Infections Research: Modeling, Experimental Data, and Future Directions.IEEE transactions on molecular, biological, and multi-scale communications · 2021
    Article
  16. Article
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  18. Article
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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

7 authors.

Qiong WangCenter for Microbial Ecology, Michigan State University, East Lansing, MI USA.
Jordan A FishCenter for Microbial Ecology, Michigan State University, East Lansing, MI USA ; Department of Computer Science and Engineering, Michigan State University, East Lansing, MI USA.
Mariah GilmanDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI USA.
Yanni SunDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI USA.
C Titus BrownDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI USA ; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI USA.
James M TiedjeCenter for Microbial Ecology, Michigan State University, East Lansing, MI USA ; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI USA ; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI USA.
James R ColeCenter for Microbial Ecology, Michigan State University, East Lansing, MI USA ; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI USA.

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Timothy R. Zacharewski · 1989 to 2026
$64.9M
NIEHS NIH HHS P42 ES004911
6 · The paper itself

Abstract

backgroundMetagenomics can provide important insight into microbial communities. However, assembling metagenomic datasets has proven to be computationally challenging. Current methods often assemble only fragmented partial genes.

resultsWe present a novel method for targeting assembly of specific protein-coding genes. This method combines a de Bruijn graph, as used in standard assembly approaches, and a protein profile hidden Markov model (HMM) for the gene of interest, as used in standard annotation approaches. These are used to create a novel combined weighted assembly graph. Xander performs both assembly and annotation concomitantly using information incorporated in this graph. We demonstrate the utility of this approach by assembling contigs for one phylogenetic marker gene and for two functional marker genes, first on Human Microbiome Project (HMP)-defined community Illumina data and then on 21 rhizosphere soil metagenomic datasets from three different crops totaling over 800 Gbp of unassembled data. We compared our method to a recently published bulk metagenome assembly method and a recently published gene-targeted assembler and found our method produced more, longer, and higher quality gene sequences.

conclusionXander combines gene assignment with the rapid assembly of full-length or near full-length functional genes from metagenomic data without requiring bulk assembly or post-processing to find genes of interest. HMMs used for assembly can be tailored to the targeted genes, allowing flexibility to improve annotation over generic annotation pipelines. This method is implemented as open source software and is available at https://github.com/rdpstaff/Xander_assembler.

Indexed as

AssemblyBiofuel cropFunctional geneHMMMetagenomicsnifHnirKNitrogen cycle

Identifiers

PMID26246894
PMCPMC4526283

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.