Transcriptomics

Dataset Information

0

Transcriptome comparison reveals a genetic network regulating the lower temperature limit in fish


ABSTRACT: Transcriptional plasticity is a major driver of phenotypic differences between species. The lower temperature limit (LTL), namely the lower end of survival temperature, is an important trait delimiting the geographical distribution of a species, however, the genetic mechanisms are poorly understood. We investigated the inter-species transcriptional diversification in cold responses between zebrafish Danio rerio and tilapia Oreochromis niloticus, which were reared at a common temperature (28°C) but have distinct LTLs. We identified significant expressional divergence between the two species in the orthologous genes from gills when the temperature cooled to the LTL of tilapia (8°C). Five KEGG pathways were found sequentially over-represented in the zebrafish/tilapia divergently expressed genes in the duration (12 hour) of 8°C exposure, forming a signaling cascade from metabolic regulation to apoptosis via FoxO signaling. Consistently, we found differential progression of apoptosis in the gills of the two species in which zebrafish manifested a delayed and milder apoptotic phenotype than tilapia, corresponding with a lower LTL of zebrafish. We identified diverged expression in 25 apoptosis-related transcription factors between the two species which forms an interacting network with diverged factors involving the FoxO signaling and metabolic regulation. We propose a genetic network which regulates LTL in fishes. 

ORGANISM(S): Danio rerio Oreochromis niloticus

PROVIDER: GSE69965 | GEO | 2016/07/03

SECONDARY ACCESSION(S): PRJNA287283

REPOSITORIES: GEO

Similar Datasets

2016-07-03 | E-GEOD-69965 | biostudies-arrayexpress
2016-07-01 | GSE10958 | GEO
2008-09-01 | GSE7853 | GEO
2015-08-27 | GSE72386 | GEO
2015-08-27 | E-GEOD-72386 | biostudies-arrayexpress
2010-05-19 | E-GEOD-21914 | biostudies-arrayexpress
2010-08-28 | GSE17756 | GEO
2016-07-01 | E-GEOD-10958 | biostudies-arrayexpress
2017-02-13 | GSE51434 | GEO
2010-08-28 | E-GEOD-17756 | biostudies-arrayexpress