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Jennifer C. Martin

Researcher at University of Aberdeen

Publications -  45
Citations -  4620

Jennifer C. Martin is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Ruminococcus & Xylanase. The author has an hindex of 30, co-authored 45 publications receiving 3944 citations. Previous affiliations of Jennifer C. Martin include Rowett Research Institute.

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Phylogenetic Relationships of Butyrate-Producing Bacteria from the Human Gut

TL;DR: Fifty percent of the butyrate-producing isolates were net acetate consumers during growth, suggesting that they employ the butyryl coenzyme A-acetyl coen enzyme A transferase pathway forbutyrate production.
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Towards standards for human fecal sample processing in metagenomic studies

Paul I. Costea, +60 more
- 02 Oct 2017 - 
TL;DR: A standardized DNA extraction method for human fecal samples is recommended, for which transferability across labs was established and which was further benchmarked using a mock community of known composition to improve comparability of human gut microbiome studies and facilitate meta-analyses.
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Prebiotic stimulation of human colonic butyrate-producing bacteria and bifidobacteria, in vitro

TL;DR: In this paper, the authors report carbohydrate utilisation patterns for representative butyrate-producing anaerobes, belonging to the Gram-positive Firmicutes families Lachnospiraceae and Ruminococcaceae, by comparison with selected Bacteroides and Bifidobacteria species.
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Functional dysbiosis within the gut microbiota of patients with constipated-irritable bowel syndrome.

TL;DR: The role of the gut microbiota in patho‐physiology of irritable bowel syndrome (IBS) is suggested by several studies but standard cultural and molecular methods used to date have not revealed specific and consistent IBS‐related groups of microbes.
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16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice

TL;DR: This work emphasises the importance of sample processing methodology to downstream sequencing results and illustrates the value of employing multiple approaches for determining microbiota composition.