Meta-Omics Reveals Genetic Flexibility of Diatom Nitrogen Transporters in Response to Environmental Changes.
diatoms
machine learning
meta-omics
nitrogen transporters
Journal
Molecular biology and evolution
ISSN: 1537-1719
Titre abrégé: Mol Biol Evol
Pays: United States
ID NLM: 8501455
Informations de publication
Date de publication:
01 Nov 2019
01 Nov 2019
Historique:
medline:
2
7
2019
pubmed:
2
7
2019
entrez:
2
7
2019
Statut:
ppublish
Résumé
Diatoms (Bacillariophyta), one of the most abundant and diverse groups of marine phytoplankton, respond rapidly to the supply of new nutrients, often out-competing other phytoplankton. Herein, we integrated analyses of the evolution, distribution, and expression modulation of two gene families involved in diatom nitrogen uptake (DiAMT1 and DiNRT2), in order to infer the main drivers of divergence in a key functional trait of phytoplankton. Our results suggest that major steps in the evolution of the two gene families reflected key events triggering diatom radiation and diversification. Their expression is modulated in the contemporary ocean by seawater temperature, nitrate, and iron concentrations. Moreover, the differences in diversity and expression of these gene families throughout the water column hint at a possible link with bacterial activity. This study represents a proof-of-concept of how a holistic approach may shed light on the functional biology of organisms in their natural environment.
Identifiants
pubmed: 31259367
pii: 5525704
doi: 10.1093/molbev/msz157
pmc: PMC6805229
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2522-2535Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.