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Carbohydrate metabolism in Oenococcus oeni: a genomic insight

Overview of attention for article published in BMC Genomics, December 2016
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Title
Carbohydrate metabolism in Oenococcus oeni: a genomic insight
Published in
BMC Genomics, December 2016
DOI 10.1186/s12864-016-3338-2
Pubmed ID
Authors

Alice Cibrario, Claire Peanne, Marine Lailheugue, Hugo Campbell-Sills, Marguerite Dols-Lafargue

Abstract

Oenococcus oeni is the bacterial species that drives malolactic fermentation in most wines. Several studies have described a high intraspecific diversity regarding carbohydrate degradation abilities but the link between the phenotypes and the genes and metabolic pathways has been poorly described. A collection of 41 strains whose genomic sequences were available and representative of the species genomic diversity was analyzed for growth on 18 carbohydrates relevant in wine. The most frequently used substrates (more than 75% of the strains) were glucose, trehalose, ribose, cellobiose, mannose and melibiose. Fructose and L-arabinose were used by about half the strains studied, sucrose, maltose, xylose, galactose and raffinose were used by less than 25% of the strains and lactose, L-sorbose, L-rhamnose, sorbitol and mannitol were not used by any of the studied strains. To identify genes and pathways associated with carbohydrate catabolic abilities, gene-trait matching and a careful analysis of gene mutations and putative complementation phenomena were performed. For most consumed sugars, we were able to propose putatively associated metabolic pathways. Most associated genes belong to the core genome. O. oeni appears as a highly specialized species, ideally suited to fermented fruit juice and more specifically to wine for a subgroup of strains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Professor 4 11%
Unspecified 2 6%
Other 3 8%
Unknown 11 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 22%
Biochemistry, Genetics and Molecular Biology 7 19%
Unspecified 2 6%
Immunology and Microbiology 2 6%
Medicine and Dentistry 2 6%
Other 3 8%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2016.
All research outputs
#20,365,559
of 22,914,829 outputs
Outputs from BMC Genomics
#9,302
of 10,676 outputs
Outputs of similar age
#350,474
of 416,479 outputs
Outputs of similar age from BMC Genomics
#200
of 262 outputs
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