Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Differential gene expression of candidate genes for growth in rainbow trout


ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Growth in fishes is a complex trait, controlled by both genetic and environmental factors, that impacts many components of fitness. Gene expression studies may lead to the identification of candidate genes for growth and microarrays offer the opportunity to examine the expression of thousands of genes simultaneously. Gene expression differences in the liver and white muscle were examined in normally growing, 15 month-old, large and small size-selected rainbow trout (Oncorhynchus mykiss) derived from two different seasonal spawning groups (Sept. and Dec.). Examination of the gene expression differences in both liver and white muscle tissue allowed us to assess the seasonal influences upon gene expression patterns that occur in this species, and facilitated the identification of genes that may possess similar expression patterns regardless of seasonal effects. The analysis of global gene expression in large and small fish reared under standard conditions provides an understanding of typical growth patterns that may be observed in this species. The identification of candidate genes by this study may provide insight into the mechanisms of growth in fishes and may help to identify candidate genes for growth.

ORGANISM(S): Oncorhynchus mykiss

SUBMITTER: Andrea Kocmarek 

PROVIDER: E-GEOD-42584 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2012-11-29 | E-GEOD-42582 | biostudies-arrayexpress
2012-11-29 | E-GEOD-42583 | biostudies-arrayexpress
2013-11-20 | E-GEOD-52507 | biostudies-arrayexpress
2020-04-30 | E-MTAB-8959 | biostudies-arrayexpress
2015-03-05 | E-GEOD-43285 | biostudies-arrayexpress
2022-02-18 | E-MTAB-4788 | biostudies-arrayexpress
2010-05-18 | E-GEOD-19478 | biostudies-arrayexpress
2021-04-06 | PXD022770 | Pride
2023-10-13 | PXD041308 | Pride
2010-05-18 | E-GEOD-19483 | biostudies-arrayexpress