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Correlations between intestinal innate immune genes and cecal microbiota highlight potential for probiotic development for immune modulation in poultry

Overview of attention for article published in Applied Microbiology and Biotechnology, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Correlations between intestinal innate immune genes and cecal microbiota highlight potential for probiotic development for immune modulation in poultry
Published in
Applied Microbiology and Biotechnology, August 2018
DOI 10.1007/s00253-018-9281-1
Pubmed ID
Authors

Nicky-Lee Willson, Greg S. Nattrass, Robert J. Hughes, Robert J. Moore, Dragana Stanley, Philip I. Hynd, Rebecca E. A. Forder

Abstract

Immune function is influenced by the diversity and stability of the intestinal microbiota. A likely trade-off of immune function for growth has been demonstrated in heavier breeds of poultry that have been genetically selected for growth and feed efficiency traits. We investigated the expression of selected innate immune genes and genes encoding products involved in intestinal barrier function to determine whether function changes could be consistently linked to the phenotypic expression of feed conversion ratio (FCR), a common measure of performance within poultry broiler flocks. In addition, we compared individual cecal microbial composition with innate immune gene expression. Samples were utilised from two replicate trials termed P1E1 and P1E2. High (n = 12) and low (n = 12) performing birds were selected based on their individual FCR data from each replicate and combined for microbiota phylogenetic composition and immune gene expression analysis. Toll-like receptor 1 (TLR1La) and zonula occludens 1 (ZO1) were differentially expressed between high- and low-performing broilers. Several taxa were correlated with FCR; of these, unclassified YS2 and ZO1 were also positively correlated with each other. Interactions between taxa and differentially expressed innate immune genes between P1E1 and P1E2 were much greater compared to relationships between high- and low-performing birds. At the level of phylum, reciprocal correlations between tight junction proteins and Toll-like receptors with Bacteroidetes and Firmicutes were evident, as were correlations at the genus level.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Doctoral Student 6 14%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Researcher 3 7%
Other 6 14%
Unknown 11 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Veterinary Science and Veterinary Medicine 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Immunology and Microbiology 3 7%
Medicine and Dentistry 2 5%
Other 5 11%
Unknown 11 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 August 2018.
All research outputs
#4,406,039
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#1,055
of 8,034 outputs
Outputs of similar age
#82,182
of 338,418 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#18
of 133 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,418 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.