Evidence map›Paper›PMID 29301569›Full record

ArticleMicrobiome2018

Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth.

Duc Lu, Francesco Tiezzi, Constantino Schillebeeckx, Nathan P McNulty, Clint Schwab, Caleb Shull, Christian Maltecca

Abstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

82 citing papers in PubMed.

  1. Microbial and Genomic Information Synergistically Contribute to Predicting Swine Performance Across Production Systems.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  2. ProbioticJournal of animal science and technology · 2026
    Article
  3. Article
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  5. Article
  6. Spatiotemporal dynamics of mucosa-associatedAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Multiple-trait genomic prediction for swine meat quality traits using gut microbiome features as a correlated trait.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Duc LuDepartment of Animal Science, North Carolina State University, Raleigh, 27606, NC, USA. bdlu@ncsu.edu.
Francesco TiezziDepartment of Animal Science, North Carolina State University, Raleigh, 27606, NC, USA.
Constantino SchillebeeckxMatatu Inc., 4320 Forest Park Ave., Suite 321, Saint Louis, 63108, MO, USA.
Nathan P McNultyMatatu Inc., 4320 Forest Park Ave., Suite 321, Saint Louis, 63108, MO, USA.
Clint SchwabThe Maschhoffs LLC., Carlyle, 62231, IL, USA.
Caleb ShullThe Maschhoffs LLC., Carlyle, 62231, IL, USA.
Christian MalteccaDepartment of Animal Science, North Carolina State University, Raleigh, 27606, NC, USA. christian_maltecca@ncsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn pigs, gut bacteria have been shown to play important roles in nutritional, physiological, and immunological processes in the host. However, the contribution of their metagenomes or part of them, which are normally reflected by fragments of 16S rRNA-encoding genes, has yet to be fully investigated.

resultsFecal samples, collected from a population of crossbred pigs at three time points, including weaning, week 15 post weaning (hereafter "week 15"), and end-of-feeding test (hereafter "off-test"), were used to evaluate changes in the composition of the fecal microbiome of each animal over time. This study used 1205, 1295, and 1283 samples collected at weaning, week 15, and off-test, respectively. There were 1039 animals that had samples collected at all three time points and also had phenotypic records on back fat thickness (BF) and average daily body weight gain (ADG). Firmicutes and Bacteroidetes were the most abundant phyla at all three time points. The most abundant genera at all three time points included Clostridium, Escherichia, Bacteroides, Prevotella, Ruminococcus, Fusobacterium, Campylobacter, Eubacterium, and Lactobacillus. Two enterotypes were identified at each time point. However, only enterotypes at week 15 and off-test were significantly associated with BF. We report herein two novel findings: (i) alpha diversity and operational taxonomic unit (OTU) richness were moderately heritable at week 15, h

conclusionsThese results are important for efforts to genetically improve the domesticated pig because they suggest fecal microbiota diversity can be used as an indicator trait to improve traits that are expensive to measure.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaBreedingFecesFemaleMalePhylogenyQuantitative Trait LociRNA, Ribosomal, 16SSequence Analysis, DNASwineWeaningRNA, Ribosomal, 16SDiversityFecal microbiomeGenetic parametersLongitudinal changes

Identifiers

PMID29301569
PMCPMC5755158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.