必须采用微生物解决方案来应对气候灾难。

IF 5 2区生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-11-11 DOI:10.1128/msystems.01416-24

Raquel Peixoto, Christian R Voolstra, Lisa Y Stein, Philip Hugenholtz, Joana Falcao Salles, Shady A Amin, Max Häggblom, Ann Gregory, Thulani P Makhalanyane, Fengping Wang, Nadège Adoukè Agbodjato, Yinzhao Wang, Nianzhi Jiao, Jay T Lennon, Antonio Ventosa, Patrik M Bavoil, Virginia Miller, Jack A Gilbert

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Microbial solutions must be deployed against climate catastrophe.

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来源期刊

mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry

CiteScore

10.50

自引率

3.10%

发文量

308

审稿时长

13 weeks

期刊介绍： mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.

期刊最新文献

Association of body index with fecal microbiome in children cohorts with ethnic-geographic factor interaction: accurately using a Bayesian zero-inflated negative binomial regression model. Cigarette smoke-induced disordered microbiota aggravates the severity of influenza A virus infection. Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers. Advancing microbiome research in Māori populations: insights from recent literature exploring the gut microbiomes of underrepresented and Indigenous peoples. Pan-genome-scale metabolic modeling of Bacillus subtilis reveals functionally distinct groups.