A catalogue of 136 microbial draft genomes from Red Sea metagenomes

Mohamed Haroon; Luke R. Thompson; Donovan H. Parks; Philip Hugenholtz; Ulrich Stingl

doi:10.1038/sdata.2016.50

A catalogue of 136 microbial draft genomes from Red Sea metagenomes

Mohamed Haroon, Luke R. Thompson, Donovan H. Parks, Philip Hugenholtz, Ulrich Stingl

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

Earth is expected to continue warming and the Red Sea is a model environment for understanding the effects of global warming on ocean microbiomes due to its unusually high temperature, salinity and solar irradiance. However, most microbial diversity analyses of the Red Sea have been limited to cultured representatives and single marker gene analyses, hence neglecting the substantial uncultured majority. Here, we report 136 microbial genomes (completion minus contamination is ≥50%) assembled from 45 metagenomes from eight stations spanning the Red Sea and taken from multiple depths between 10 to 500 m. Phylogenomic analysis showed that most of the retrieved genomes belong to seven different phyla of known marine microbes, but more than half representing currently uncultured species. The open-access data presented here is the largest number of Red Sea representative microbial genomes reported in a single study and will help facilitate future studies in understanding the physiology of these microorganisms and how they have adapted to the relatively harsh conditions of the Red Sea.

Original language	English (US)
Journal	Scientific data
Volume	3
Issue number	1
DOIs	https://doi.org/10.1038/sdata.2016.50
State	Published - Jul 5 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We acknowledge the people who were involved in the KAUST Red Sea Expedition 2011 and those that helped to generate the data, include, but are not limited to, those named here: Matt Cahill, Mamoon Rashid, Vinu Manikandan, David Ngugi and Ahmed Shibl. This work was supported by King Abdullah University of Science and Technology (KAUST), Saudi Basic Industries Corporation (SABIC) fellowship to L.R.T., and SABIC presidential chair to U.S.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/sdata.2016.50

https://repository.kaust.edu.sa/bitstream/10754/615898/1/sdata201650.pdf

Cite this

@article{eda19d8c2bdd4861ab85d0d9467b06c6,

title = "A catalogue of 136 microbial draft genomes from Red Sea metagenomes",

abstract = "Earth is expected to continue warming and the Red Sea is a model environment for understanding the effects of global warming on ocean microbiomes due to its unusually high temperature, salinity and solar irradiance. However, most microbial diversity analyses of the Red Sea have been limited to cultured representatives and single marker gene analyses, hence neglecting the substantial uncultured majority. Here, we report 136 microbial genomes (completion minus contamination is ≥50%) assembled from 45 metagenomes from eight stations spanning the Red Sea and taken from multiple depths between 10 to 500 m. Phylogenomic analysis showed that most of the retrieved genomes belong to seven different phyla of known marine microbes, but more than half representing currently uncultured species. The open-access data presented here is the largest number of Red Sea representative microbial genomes reported in a single study and will help facilitate future studies in understanding the physiology of these microorganisms and how they have adapted to the relatively harsh conditions of the Red Sea.",

author = "Mohamed Haroon and Thompson, {Luke R.} and Parks, {Donovan H.} and Philip Hugenholtz and Ulrich Stingl",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: We acknowledge the people who were involved in the KAUST Red Sea Expedition 2011 and those that helped to generate the data, include, but are not limited to, those named here: Matt Cahill, Mamoon Rashid, Vinu Manikandan, David Ngugi and Ahmed Shibl. This work was supported by King Abdullah University of Science and Technology (KAUST), Saudi Basic Industries Corporation (SABIC) fellowship to L.R.T., and SABIC presidential chair to U.S.",

year = "2016",

month = jul,

day = "5",

doi = "10.1038/sdata.2016.50",

language = "English (US)",

volume = "3",

journal = "Scientific data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "1",

}

TY - JOUR

T1 - A catalogue of 136 microbial draft genomes from Red Sea metagenomes

AU - Haroon, Mohamed

AU - Thompson, Luke R.

AU - Parks, Donovan H.

AU - Hugenholtz, Philip

AU - Stingl, Ulrich

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: We acknowledge the people who were involved in the KAUST Red Sea Expedition 2011 and those that helped to generate the data, include, but are not limited to, those named here: Matt Cahill, Mamoon Rashid, Vinu Manikandan, David Ngugi and Ahmed Shibl. This work was supported by King Abdullah University of Science and Technology (KAUST), Saudi Basic Industries Corporation (SABIC) fellowship to L.R.T., and SABIC presidential chair to U.S.

PY - 2016/7/5

Y1 - 2016/7/5

N2 - Earth is expected to continue warming and the Red Sea is a model environment for understanding the effects of global warming on ocean microbiomes due to its unusually high temperature, salinity and solar irradiance. However, most microbial diversity analyses of the Red Sea have been limited to cultured representatives and single marker gene analyses, hence neglecting the substantial uncultured majority. Here, we report 136 microbial genomes (completion minus contamination is ≥50%) assembled from 45 metagenomes from eight stations spanning the Red Sea and taken from multiple depths between 10 to 500 m. Phylogenomic analysis showed that most of the retrieved genomes belong to seven different phyla of known marine microbes, but more than half representing currently uncultured species. The open-access data presented here is the largest number of Red Sea representative microbial genomes reported in a single study and will help facilitate future studies in understanding the physiology of these microorganisms and how they have adapted to the relatively harsh conditions of the Red Sea.

AB - Earth is expected to continue warming and the Red Sea is a model environment for understanding the effects of global warming on ocean microbiomes due to its unusually high temperature, salinity and solar irradiance. However, most microbial diversity analyses of the Red Sea have been limited to cultured representatives and single marker gene analyses, hence neglecting the substantial uncultured majority. Here, we report 136 microbial genomes (completion minus contamination is ≥50%) assembled from 45 metagenomes from eight stations spanning the Red Sea and taken from multiple depths between 10 to 500 m. Phylogenomic analysis showed that most of the retrieved genomes belong to seven different phyla of known marine microbes, but more than half representing currently uncultured species. The open-access data presented here is the largest number of Red Sea representative microbial genomes reported in a single study and will help facilitate future studies in understanding the physiology of these microorganisms and how they have adapted to the relatively harsh conditions of the Red Sea.

UR - http://hdl.handle.net/10754/615898

UR - http://www.nature.com/articles/sdata201650

UR - http://www.scopus.com/inward/record.url?scp=84977544966&partnerID=8YFLogxK

U2 - 10.1038/sdata.2016.50

DO - 10.1038/sdata.2016.50

M3 - Article

C2 - 27377622

SN - 2052-4463

VL - 3

JO - Scientific data

JF - Scientific data

IS - 1

ER -

A catalogue of 136 microbial draft genomes from Red Sea metagenomes

Abstract

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Red Sea metagenomes

Cite this

A catalogue of 136 microbial draft genomes from Red Sea metagenomes

Abstract

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Datasets

Red Sea metagenomes

Cite this