气候变化领域集成服务门户(CCPortal): Resource conservation manifests in the genetic code

CCPortal

DOI	10.1126/science.aaz9642
	Resource conservation manifests in the genetic code
	Shenhav L.; Zeevi D.
发表日期	2020
ISSN	0036-8075
起始页码	683
结束页码	687
卷号	370 期号:6517
英文摘要	Nutrient limitation drives competition for resources across organisms. However, much is unknown about how selective pressures resulting from nutrient limitation shape microbial coding sequences. Here, we study this “resource-driven selection” by using metagenomic and single-cell data of marine microbes, alongside environmental measurements. We show that a significant portion of the selection exerted on microbes is explained by the environment and is associated with nitrogen availability. Notably, this resource conservation optimization is encoded in the structure of the standard genetic code, providing robustness against mutations that increase carbon and nitrogen incorporation into protein sequences. This robustness generalizes to codon choices from multiple taxa across all domains of life, including the human genome. © 2020 American Association for the Advancement of Science. All rights reserved.
英文关键词	carbon; nitrogen; sea water; cell; conservation genetics; genetic resource; marine environment; mutation; nutrient limitation; optimization; protein; amino acid sequence; Article; environmental protection; gene mutation; genetic code; genetic selection; marine environment; marine species; metagenomics; microbial gene; microorganism; nitrogen availability; nonhuman; priority journal; purifying selection; resource driven selection; codon usage; genetics; metabolism; metagenome; microbiology; Prochlorococcus; single cell analysis; Synechococcus; Carbon; Codon Usage; Conservation of Natural Resources; Genetic Code; Metagenome; Metagenomics; Nitrogen; Prochlorococcus; Seawater; Selection, Genetic; Single-Cell Analysis; Synechococcus
语种	英语
来源期刊	Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/245453
作者单位	Center for Studies in Physics and Biology, Rockefeller University, New York, NY, United States; Department of Computer Science, University of California Los Angeles, Los Angeles, CA, United States
推荐引用方式 GB/T 7714	Shenhav L.,Zeevi D.. Resource conservation manifests in the genetic code[J],2020,370(6517).
APA	Shenhav L.,&Zeevi D..(2020).Resource conservation manifests in the genetic code.Science,370(6517).
MLA	Shenhav L.,et al."Resource conservation manifests in the genetic code".Science 370.6517(2020).