Microbial community metabolism
https://www.nature.com/articles/s41564‐022‐01072‐5 This study analyzed amino acid auxotrophs in microbial communities from the Earth Microbiome Project and dataset of cooperating yeast communities. 

This study analyzed amino acid auxotrophs in microbial communities from the Earth Microbiome Project and dataset of cooperating yeast communities. 

https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168‐021‐01213‐8 This contribution describes a software tool called METABOLIC which uses annotated genomes, metabolic pathway analyses, and seeks to predict individual contributions to biochemical cycles. 

This contribution describes a software tool called METABOLIC which uses annotated genomes, metabolic pathway analyses, and seeks to predict individual contributions to biochemical cycles. 

https://pubs.rsc.org/en/content/articlelanding/2021/mo/d0mo00154f Models are as valuable as the material that goes into them. This paper discusses how to select the microbial community metabolism data that goes into models and available algorithms that use that data. 

Models are as valuable as the material that goes into them. This paper discusses how to select the microbial community metabolism data that goes into models and available algorithms that use that data. 

https://www.frontiersin.org/articles/10.3389/fgene.2019.00989/full This review starts with the question as to why in a community of one thousand microbes, and knowing many microbes have metabolism in common, that the microbes do not largely compete against each other. They found that metabolic overlap is highest in extreme environments and lowest in microbiomes found on or in animals, the built environment and soil. 

This review starts with the question as to why in a community of one thousand microbes, and knowing many microbes have metabolism in common, that the microbes do not largely compete against each other. They found that metabolic overlap is highest in extreme environments and lowest in microbiomes found on or in animals, the built environment and soil. 

https://biologicalsciences.uchicago.edu/news/features/genomic‐structure‐microbial‐community‐metabolism This writeup is about research into how the genomic structure of microbial communities can predict the overall metabolic framework. 

This writeup is about research into how the genomic structure of microbial communities can predict the overall metabolic framework. 

https://journals.asm.org/doi/10.1128/mSystems.00146‐19 There are many types of interactions in a microbial community. This paper posits that metabolic models serve well to predict various ecological interactions. 

There are many types of interactions in a microbial community. This paper posits that metabolic models serve well to predict various ecological interactions. 

https://journals.asm.org/doi/full/10.1128/msystems.01270‐22?af=R This study exams single genome‐based metabolic models and further uses nondynamic, steady‐state models to account for community function and growth. 

This study exams single genome‐based metabolic models and further uses nondynamic, steady‐state models to account for community function and growth. 

https://www.energy.gov/science/ber/articles/it‐isnt‐picky‐eaters‐drive‐soil‐microbial‐metabolism Chitin can supply both carbon and nitrogen in support of microbial growth. Microbes that do not metabolize chitin were critical for the community studied here. 

Chitin can supply both carbon and nitrogen in support of microbial growth. Microbes that do not metabolize chitin were critical for the community studied here. 

https://journals.asm.org/doi/10.1128/msystems.00051‐22 This paper described a constructed community of two E. coli strains to study the metabolic dynamics of shared metabolites. 

This paper described a constructed community of two E. coli strains to study the metabolic dynamics of shared metabolites. 

https://ieeexplore.ieee.org/document/9740437 Complex networks are common to cell metabolism and electronic circuits. This is a theoretical and computational study comparing those networks. 

Complex networks are common to cell metabolism and electronic circuits. This is a theoretical and computational study comparing those networks. 

https://www.metabolomicsworkbench.org/databases/externaldatabases.php Metabolomics is one experimental tool for studying single cell and consortial metabolism. This site provides links to a list of metabolomics databases. 

Metabolomics is one experimental tool for studying single cell and consortial metabolism. This site provides links to a list of metabolomics databases. 

http://eawag-bbd.ethz.ch/predict/ This system predicts metabolic pathways linking reactions of key biodegradative and biocatalytic enzymes. Most of the pathways depicted by the prediction algorithm are based on enzymes from different microbes and thus represent a predicted consortial metabolism. 

This system predicts metabolic pathways linking reactions of key biodegradative and biocatalytic enzymes. Most of the pathways depicted by the prediction algorithm are based on enzymes from different microbes and thus represent a predicted consortial metabolism. 

