Evidence map›Paper›PMID 26801403›Full record

ArticleBMC genomics2016

Post-weaning blood transcriptomic differences between Yorkshire pigs divergently selected for residual feed intake.

Haibo Liu, Yet T Nguyen, Dan Nettleton, Jack C M Dekkers, Christopher K Tuggle

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Identifying Relevant Covariates in RNA-seq Analysis by Pseudo-Variable Augmentation.Journal of agricultural, biological, and environmental statistics · 2026
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  15. Systems Biology RevealsFrontiers in genetics · 2019
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haibo LiuDepartment of Animal Science, Iowa State University, 2258 Kildee Hall, Ames, IA, 50011, USA. haibol@iastate.edu.
Yet T NguyenDepartment of Statistics, Iowa State University, 1121 Snedecor Hall, Ames, IA, 50011, USA. ntyet@iastate.edu.
Dan NettletonDepartment of Statistics, Iowa State University, 1121 Snedecor Hall, Ames, IA, 50011, USA. dnett@iastate.edu.
Jack C M DekkersDepartment of Animal Science, Iowa State University, 239 Kildee Hall, Ames, IA, 50011, USA. jdekkers@iastate.edu.
Christopher K TuggleDepartment of Animal Science, Iowa State University, 2255 Kildee Hall, Ames, IA, 50011, USA. cktuggle@iastate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving feed efficiency (FE) of pigs by genetic selection is of economic and environmental significance. An increasingly accepted measure of feed efficiency is residual feed intake (RFI). Currently, the molecular mechanisms underlying RFI are largely unknown. Additionally, to incorporate RFI into animal breeding programs, feed intake must be recorded on individual pigs, which is costly and time-consuming. Thus, convenient and predictive biomarkers for RFI that can be measured at an early age are greatly desired. In this study, we aimed to explore whether differences exist in the global gene expression profiles of peripheral blood of 35 to 42 day-old pigs with extremely low (more efficient) and high RFI (less efficient) values from two lines that were divergently selected for RFI during the grow-finish phase, to use such information to explore the potential molecular basis of RFI differences, and to initiate development of predictive biomarkers for RFI.

resultsWe identified 1972 differentially expressed genes (DEGs) (q ≤ 0.15) between the low (n = 15) and high (n = 16) RFI groups of animals by using RNA sequencing technology. We validated 24 of 37 selected DEGs by reverse transcription-quantitative PCR (RT-qPCR) in a joint analysis of 24 (12 per line) of the 31 samples already used for RNA-seq plus 24 (12 per line) novel samples from the same contemporary group of pigs. Using an analysis of the 24 novel samples alone, only nine of the 37 selected DEGs were validated. Genes involved in small molecule biosynthetic process, antigen processing and presentation of peptide antigen via major histocompatibility complex (MHC) class I, and steroid biosynthetic process were overrepresented among DEGs that had higher expression in the low versus high RFI animals. Genes known to function in the proteasome complex or mitochondrion were also significantly enriched among genes with higher expression in the low versus high RFI animals. Alternatively, genes involved in signal transduction, bone mineralization and regulation of phosphorylation were overrepresented among DEGs with lower expression in the low versus high RFI animals. The DEGs significantly overlapped with genes associated with disease, including hyperphagia, eating disorders and mitochondrial diseases (q < 1E-05). A weighted gene co-expression network analysis (WGCNA) identified four co-expression modules that were differentially expressed between the low and high RFI groups. Genes involved in lipid metabolism, regulation of bone mineralization, cellular immunity and response to stimulus were overrepresented within the two modules that were most significantly differentially expressed between the low and high RFI groups. We also found five of the DEGs and one of the co-expression modules were significantly associated with the RFI phenotype of individual animals (q < 0.05).

conclusionsThe post-weaning blood transcriptome was clearly different between the low and high RFI groups. The identified DEGs suggested potential differences in mitochondrial and proteasomal activities, small molecule biosynthetic process, and signal transduction between the two RFI groups and provided potential new insights into the molecular basis of RFI in pigs, although the observed relationship between the post-weaning blood gene expression and RFI phenotype measured during the grow-finish phase was not strong. DEGs and representative genes in co-expression modules that were associated with RFI phenotype provide a preliminary list for developing predictive biomarkers for RFI in pigs.

Indexed as

WeaningAnimal FeedAnimalsEatingGene Expression ProfilingSelection, GeneticSus scrofaSwineTranscriptome

Identifiers

PMID26801403
PMCPMC4724083

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LicenceCC BY
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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.