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Reference gene selection for the shell gland of laying hens in response to time-points of eggshell formation and nicarbazin

Identifieur interne : 000E67 ( Main/Exploration ); précédent : 000E66; suivant : 000E68

Reference gene selection for the shell gland of laying hens in response to time-points of eggshell formation and nicarbazin

Auteurs : Sami Samiullah ; Juliet Roberts ; Shu-Biao Wu

Source :

RBID : PMC:5495395

Abstract

Ten reference genes were investigated for normalization of gene expression data in the shell gland of laying hens. Analyses performed with geNorm revealed that hypoxanthine phosphoribosyltransferase 1 (HPRT1) and hydroxymethylbilane synthase (HMBS) were the two most stable reference genes in response to post-oviposition time alone (POT) or with nicarbazin treatment (POT+N) of laying hens. NormFinder analyses showed that the two most stable reference genes in response to POT and POT+N were 18S ribosomal RNA (18S rRNA), ribosomal protein L4 (RPL4) and HMBS, RPL4, respectively. BestKeeper analyses showed that 18S rRNA, RPL4 and HPRT1, HMBS were the two most stable reference genes for POT, and POT+N, respectively. Of the ten reference genes, all except B2M showed geNorm M <0.5, suggesting that they were stably expressed in the shell gland tissue. Consensus from these three programs suggested HPRT1 and HMBS could be used as the two most stable reference genes in the present study. Expression analyses of four candidate target genes with the two most and the two least stable genes showed that a combination of stable reference genes leads to more discriminable quantification of expression levels of target genes, while the least stable genes failed to do so. Therefore, HMBS and HPRT1 are recommended as the two most stable reference genes for the normalization of gene expression data at different stages of eggshell formation in brown-egg laying hens. Available statistical programs for reference gene ranking should include more robust analysis capability to analyse the gene expression data generated from factorial design experiments.


Url:
DOI: 10.1371/journal.pone.0180432
PubMed: 28671969
PubMed Central: 5495395


Affiliations:


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Le document en format XML

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<p>Ten reference genes were investigated for normalization of gene expression data in the shell gland of laying hens. Analyses performed with geNorm revealed that hypoxanthine phosphoribosyltransferase 1 (
<italic>HPRT1</italic>
) and hydroxymethylbilane synthase (
<italic>HMBS</italic>
) were the two most stable reference genes in response to post-oviposition time alone (POT) or with nicarbazin treatment (POT+N) of laying hens. NormFinder analyses showed that the two most stable reference genes in response to POT and POT+N were 18S ribosomal RNA (
<italic>18S rRNA</italic>
), ribosomal protein L4 (
<italic>RPL4</italic>
) and
<italic>HMBS</italic>
,
<italic>RPL4</italic>
, respectively. BestKeeper analyses showed that
<italic>18S rRNA</italic>
,
<italic>RPL4</italic>
and
<italic>HPRT1</italic>
,
<italic>HMBS</italic>
were the two most stable reference genes for POT, and POT+N, respectively. Of the ten reference genes, all except
<italic>B2M</italic>
showed geNorm M <0.5, suggesting that they were stably expressed in the shell gland tissue. Consensus from these three programs suggested
<italic>HPRT1</italic>
and
<italic>HMBS</italic>
could be used as the two most stable reference genes in the present study. Expression analyses of four candidate target genes with the two most and the two least stable genes showed that a combination of stable reference genes leads to more discriminable quantification of expression levels of target genes, while the least stable genes failed to do so. Therefore,
<italic>HMBS</italic>
and
<italic>HPRT1</italic>
are recommended as the two most stable reference genes for the normalization of gene expression data at different stages of eggshell formation in brown-egg laying hens. Available statistical programs for reference gene ranking should include more robust analysis capability to analyse the gene expression data generated from factorial design experiments.</p>
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