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Olga Ponomarova

Researcher at University of Massachusetts Medical School

Publications -  18
Citations -  1175

Olga Ponomarova is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Medicine & Metabolic pathway. The author has an hindex of 7, co-authored 14 publications receiving 831 citations.

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Metabolic dependencies drive species co-occurrence in diverse microbial communities.

TL;DR: It is shown that interspecies metabolic exchanges are widespread in natural communities, and that such exchanges can provide group advantage under nutrient-poor conditions, and highlight metabolic dependencies as a major driver of species co-occurrence.
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Yeast Creates a Niche for Symbiotic Lactic Acid Bacteria through Nitrogen Overflow

TL;DR: It is shown how yeast enables growth of lactic acid bacteria through endogenous, multi-component, cross-feeding in a readily established community, and how nitrogen overflow by yeast benefits L. plantarum in grape juice, and contributes to emergence of mutualism with L. lactis in a medium with lactose.
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Metabolic interactions in microbial communities: untangling the Gordian knot.

TL;DR: While exhaustive description of metabolic networks operating in natural systems is a task for the future, the battle of today is divided between detailed characterizations of small, reduced complexity microbial consortia, and focusing on particular metabolic aspects of natural ecosystems.
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Saccharomyces cerevisiae metabolism in ecological context.

TL;DR: A brief review of the genotypic and phenotypic peculiarities of S. cerevisiae in the context of its social lifestyle beyond laboratory environments is presented.
Posted ContentDOI

WormPaths: Caenorhabditis elegans metabolic pathway annotation and visualization.

TL;DR: WormPaths as mentioned in this paper is composed of two parts: 1) the careful manual annotation of metabolic genes into pathways, categories and levels, and 2) 66 pathway maps that include metabolites, metabolite structures, genes, reactions, and pathway connections between maps.