2021
DOI: 10.1038/s42003-021-02112-2
|View full text |Cite
|
Sign up to set email alerts
|

Deep ocean metagenomes provide insight into the metabolic architecture of bathypelagic microbial communities

Abstract: The deep sea, the largest ocean’s compartment, drives planetary-scale biogeochemical cycling. Yet, the functional exploration of its microbial communities lags far behind other environments. Here we analyze 58 metagenomes from tropical and subtropical deep oceans to generate the Malaspina Gene Database. Free-living or particle-attached lifestyles drive functional differences in bathypelagic prokaryotic communities, regardless of their biogeography. Ammonia and CO oxidation pathways are enriched in the free-liv… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

10
170
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 132 publications
(182 citation statements)
references
References 131 publications
10
170
1
Order By: Relevance
“…The contigs > 1,000 bp were submitted to Metagenome Analysis Rapid Annotation using Subsystem Technology (MG-RAST; Keegan et al, 2016) for a similarity search using the SEED Subsystem (Overbeek et al, 2005) and the Kyoto Encyclopedia of Genes and Genomes (KEGG; Kanehisa and Goto, 2000) databases, using a cut-off E-value of 1e −5 , minimum identity of 60% and a minimum alignment length of 15 bp. SEED and KEGG annotations were normalized by the number of reads assigned to the prokaryotic single copy gene recA (Acinas et al, 2021) prior to calculating the relative abundances.…”
Section: Metagenomic Analysismentioning
confidence: 99%
“…The contigs > 1,000 bp were submitted to Metagenome Analysis Rapid Annotation using Subsystem Technology (MG-RAST; Keegan et al, 2016) for a similarity search using the SEED Subsystem (Overbeek et al, 2005) and the Kyoto Encyclopedia of Genes and Genomes (KEGG; Kanehisa and Goto, 2000) databases, using a cut-off E-value of 1e −5 , minimum identity of 60% and a minimum alignment length of 15 bp. SEED and KEGG annotations were normalized by the number of reads assigned to the prokaryotic single copy gene recA (Acinas et al, 2021) prior to calculating the relative abundances.…”
Section: Metagenomic Analysismentioning
confidence: 99%
“…Competitive recruitment of the metagenomic reads from Tara Oceans ( 2 ), BioGEOTRACES ( 92 ), the Malaspina Global Expedition ( 93 ), the Southern California Bight near Los Angeles ( 32 ), and the northern Gulf of Mexico hypoxic zone ( 31 ) to the OM252 genomes was completed using the protocol available at http://merenlab.org/data/tara-oceans-mags/ . Reads were cleaned using illumina utils v2.6 ( 94 ) implementing the method described in reference 95 .…”
Section: Methodsmentioning
confidence: 99%
“…OM252 community diversity was assessed using the skbio.diversity algorithmic suite v0.5.6 ( http://scikit-bio.org/docs/latest/diversity.html ). Recruited OM252 reads from 588 metagenomic samples including TARA ( 2 ), BioGEOTRACES ( 92 ), and Malaspina Global Expedition ( 93 ) were normalized to transcripts per million (TPM) values and used analogously for count dissimilarities. TPM calculations were performed using ( https://github.com/thrash-lab/counts_to_tpm ).…”
Section: Methodsmentioning
confidence: 99%
“…Some deep ecotypes could be opportunistic taxa within the bathypelagic assemblages, conferring them a broader capability of substrate utilization (Sebastián et al, 2021). Alternatively, mixotrophy., i.e., carrying out chemolithoautotrophic inorganic carbon fixation and heterotrophy (Sorokin, 2003;Alonso-Sáez et al, 2010) has been recently suggested to represent an ecologically relevant trait for prokaryotes to survive across the global dark ocean (Acinas et al, 2021).…”
Section: Hydrography and Dom Quality Indicators Driving Niche Partitioningmentioning
confidence: 99%