Evidence map›Paper›PMID 32743860›Full record

ArticleEnvironmental microbiology2020

Sequencing effort dictates gene discovery in marine microbial metagenomes.

Carlos M Duarte, David K Ngugi, Intikhab Alam, John Pearman, Allan Kamau, Victor M Eguiluz, Takashi Gojobori, Silvia G Acinas, Josep M Gasol, Vladimir Bajic and 1 more

Abstract read
In one paragraph

Article in Environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. A phylogenetic approach to comparative genomics.Nature reviews. Genetics · 2025
    Review
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  8. Article
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  12. Article
  13. Distances Between Extension Spaces of Phylogenetic Trees.IEEE transactions on computational biology and bioinformatics
    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

11 authors.

Carlos M DuarteKing Abdullah University of Science and Technology (KAUST), Red Sea Research Centre (RSRC), Thuwal, 23955-6900, Saudi Arabia.ORCID 0000-0002-1213-1361
David K NgugiKing Abdullah University of Science and Technology (KAUST), Red Sea Research Centre (RSRC), Thuwal, 23955-6900, Saudi Arabia.ORCID 0000-0002-0442-4279
Intikhab AlamKing Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal, 23955-6900, Saudi Arabia, Thuwal, 23955-6900, Saudi Arabia.
John PearmanKing Abdullah University of Science and Technology (KAUST), Red Sea Research Centre (RSRC), Thuwal, 23955-6900, Saudi Arabia.
Allan KamauLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Inhoffenstrasse 7B, D-38124, Braunschweig, Germany.
Victor M EguiluzInstituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), E07122, Palma de Mallorca, Spain.ORCID 0000-0003-1133-1289
Takashi GojoboriLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Inhoffenstrasse 7B, D-38124, Braunschweig, Germany.
Silvia G AcinasInstitut de Ciències del Mar, CSIC, Barcelona, Spain.
Josep M GasolInstitut de Ciències del Mar, CSIC, Barcelona, Spain.
Vladimir BajicLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Inhoffenstrasse 7B, D-38124, Braunschweig, Germany.
Xabier IrigoienKing Abdullah University of Science and Technology (KAUST), Red Sea Research Centre (RSRC), Thuwal, 23955-6900, Saudi Arabia.

Funding

King Abdullah University of Science and TechnologyNIH HHS AA123456NIH HHS BB123456Spanish Ministry of Science and Innovation CSD2008-00077
6 · The paper itself

Abstract

Massive metagenomic sequencing combined with gene prediction methods were previously used to compile the gene catalogue of the ocean and host-associated microbes. Global expeditions conducted over the past 15 years have sampled the ocean to build a catalogue of genes from pelagic microbes. Here we undertook a large sequencing effort of a perturbed Red Sea plankton community to uncover that the rate of gene discovery increases continuously with sequencing effort, with no indication that the retrieved 2.83 million non-redundant (complete) genes predicted from the experiment represented a nearly complete inventory of the genes present in the sampled community (i.e., no evidence of saturation). The underlying reason is the Pareto-like distribution of the abundance of genes in the plankton community, resulting in a very long tail of millions of genes present at remarkably low abundances, which can only be retrieved through massive sequencing. Microbial metagenomic projects retrieve a variable number of unique genes per Tera base-pair (Tbp), with a median value of 14.7 million unique genes per Tbp sequenced across projects. The increase in the rate of gene discovery in microbial metagenomes with sequencing effort implies that there is ample room for new gene discovery in further ocean and holobiont sequencing studies.

Indexed as

AlphaproteobacteriaAquatic OrganismsDiatomsFlavobacteriaceaeGammaproteobacteriaGenetic Association StudiesGenome, BacterialHigh-Throughput Nucleotide SequencingIndian OceanMetagenomeMetagenomicsPlanktonWater Microbiology

Identifiers

PMID32743860
PMCPMC7756799

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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.