Selection of reference genes for quantitative real‐time PCR normalisation in largemouth bass Micropterus salmoides fed on alternative diets
0303 health sciences
DNA, Complementary
Gene Expression
Real-Time Polymerase Chain Reaction
Genomic Instability
Diet
03 medical and health sciences
Liver
Glucokinase
Animals
RNA
Bass
14. Life underwater
Databases, Nucleic Acid
DOI:
10.1111/jfb.13991
Publication Date:
2019-04-24T14:31:25Z
AUTHORS (7)
ABSTRACT
AbstractThe partial cDNA sequences of eight reference genes (actb, tuba1, gapdh58, gapdh59, eef1a1, RNA 18 s, pabpc1, ube2I) were cloned from largemouth bass Micropterus salmoides. The expression levels of these eight genes were compared in the various tissues (eye, spleen, kidney, gill, muscle, brain, liver, heart, gut and gonad) of M. salmoides fed on forage fish. The results showed that the candidate genes exhibited tissue‐specific expression to various degrees and the stability ranking order was eef1a1 > tuba1 > RNA 18 s > pabpc1 > ube2I > actb > gapdh58 > gapdh59 among tissue types. Four candidate genes eef1a1, tuba1, RNA 18 s and actb were used to analyse the stability in liver tissues of largemouth bass between the forage‐fish group and the formulated‐feed group. The candidate genes also showed some changes in expression levels in the livers, while eef1a1 and tuba1 had the most stable expression in livers of fish fed on alternative diets within 10 candidates. So eef1a1 and tuba1 were recommended as optimal reference gene in quantitative real‐time PCR analysis to normalise the expression levels of target genes in tissues and lives of the M. salmoides fed on alternative diets. In livers, the expression levels of gck normalised by eef1a1 and tuba1 showed the significant up‐regulation in formulated feed group (P < 0.05) than those in forage‐fish group. While sex difference has no significant effects on the expression levels of gck in both groups.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (41)
CITATIONS (22)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....