Quantifying microbial interactions: concepts, caveats, and applications DOI
Nittay Meroz,

Tal Livny,

Jonathan Friedman

et al.

Current Opinion in Microbiology, Journal Year: 2024, Volume and Issue: 80, P. 102511 - 102511

Published: July 13, 2024

Language: Английский

Microbes and Climate Change: a Research Prospectus for the Future DOI
James M. Tiedje, Mary Ann Bruns, Arturo Casadevall

et al.

mBio, Journal Year: 2022, Volume and Issue: 13(3)

Published: April 19, 2022

Climate change is the most serious challenge facing humanity. Microbes produce and consume three major greenhouse gases-carbon dioxide, methane, nitrous oxide-and some microbes cause human, animal, plant diseases that can be exacerbated by climate change. Hence, microbial research needed to help ameliorate warming trajectory cascading effects resulting from heat, drought, severe storms. We present a brief summary of what known about responses in ecosystems: terrestrial, ocean, urban. also offer suggestions for new directions reduce gases mitigate pathogenic impacts microbes. These include performing more controlled studies on impact processes, system interdependencies, human interventions, using their carbon nitrogen transformations useful stable products, improving process data models, taking One Health approach study

Language: Английский

Citations

126

Oxidative stress gene expression, DNA methylation, and gut microbiota interaction trigger Crohn’s disease: a multi-omics Mendelian randomization study DOI Creative Commons
Shu Xu,

Xiaozhi Li,

Shenghong Zhang

et al.

BMC Medicine, Journal Year: 2023, Volume and Issue: 21(1)

Published: May 11, 2023

Oxidative stress (OS) is a key pathophysiological mechanism in Crohn's disease (CD). OS-related genes can be affected by environmental factors, intestinal inflammation, gut microbiota, and epigenetic changes. However, the role of OS as potential CD etiological factor or triggering unknown, differentially expressed either cause subsequent change inflammation. Herein, we used multi-omics summary data-based Mendelian randomization (SMR) approach to identify putative causal effects underlying mechanisms CD.

Language: Английский

Citations

102

Ecological dynamics of the gut microbiome in response to dietary fiber DOI Open Access
Hongbin Liu, Chen Liao, Lu Wu

et al.

The ISME Journal, Journal Year: 2022, Volume and Issue: 16(8), P. 2040 - 2055

Published: May 21, 2022

Language: Английский

Citations

77

The community-function landscape of microbial consortia DOI Creative Commons

Álvaro Sánchez,

Djordje Bajić, Juan Díaz‐Colunga

et al.

Cell Systems, Journal Year: 2023, Volume and Issue: 14(2), P. 122 - 134

Published: Feb. 1, 2023

Language: Английский

Citations

60

Genome content predicts the carbon catabolic preferences of heterotrophic bacteria DOI
Matti Gralka, Shaul Pollak, Otto X. Cordero

et al.

Nature Microbiology, Journal Year: 2023, Volume and Issue: 8(10), P. 1799 - 1808

Published: Aug. 31, 2023

Language: Английский

Citations

52

Statistically learning the functional landscape of microbial communities DOI

Abigail Skwara,

Karna Gowda, Mahmoud Yousef

et al.

Nature Ecology & Evolution, Journal Year: 2023, Volume and Issue: 7(11), P. 1823 - 1833

Published: Oct. 2, 2023

Language: Английский

Citations

44

Unlocking bacterial potential to reduce farmland N2O emissions DOI Creative Commons
Elisabeth Gautefall Hiis, Silas H. W. Vick, Lars Molstad

et al.

Nature, Journal Year: 2024, Volume and Issue: 630(8016), P. 421 - 428

Published: May 29, 2024

Abstract Farmed soils contribute substantially to global warming by emitting N 2 O (ref. 1 ), and mitigation has proved difficult . Several microbial nitrogen transformations produce O, but the only biological sink for is enzyme NosZ, catalysing reduction of 3 ). Although strengthening NosZ activity in would reduce emissions, such bioengineering soil microbiota considered challenging 4,5 However, we have developed a technology achieve this, using organic waste as substrate vector O-respiring bacteria selected their capacity thrive 6–8 Here analysed biokinetics our most promising bacterium, Cloacibacterium sp. CB-01, its survival effect on emissions field experiments. Fertilization with from biogas production, which CB-01 had grown aerobically about 6 × 10 9 cells per millilitre, reduced 50–95%, depending type. The strong long-lasting ascribed tenacity soil, rather than biokinetic parameters, were inferior those other strains bacteria. Scaling data up European level, find that national anthropogenic could be 5–20%, more if including wastes. This opens an avenue cost-effective options are lacking at present.

Language: Английский

Citations

41

Machine learning interpretable models of cell mechanics from protein images DOI Creative Commons
Matthew S. Schmitt, Jonathan Colen,

Stefano Sala

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(2), P. 481 - 494.e24

Published: Jan. 1, 2024

Language: Английский

Citations

25

Resource competition predicts assembly of gut bacterial communities in vitro DOI
Po-Yi Ho, Taylor H. Nguyen, Juan M. Sánchez

et al.

Nature Microbiology, Journal Year: 2024, Volume and Issue: 9(4), P. 1036 - 1048

Published: March 14, 2024

Language: Английский

Citations

25

Global epistasis and the emergence of function in microbial consortia DOI Creative Commons
Juan Díaz‐Colunga,

Abigail Skwara,

Jean C. C. Vila

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(12), P. 3108 - 3119.e30

Published: May 21, 2024

The many functions of microbial communities emerge from a complex web interactions between organisms and their environment. This poses significant obstacle to engineering consortia, hindering our ability harness the potential microorganisms for biotechnological applications. In this study, we demonstrate that collective effect ecological microbes in community can be captured by simple statistical models predict how adding new species will affect its function. These predictive mirror patterns global epistasis reported genetics, they quantitatively interpreted terms pairwise members. Our results illuminate an unexplored path predicting function consortia composition, paving way optimizing desirable properties bringing tasks biological at genetic, organismal, scales under same quantitative formalism.

Language: Английский

Citations

20