Edinburgh Research Explorer

De novo gene and transcript models created for a gene expression atlas of the domestic water buffalo (Bubalus bubalis)

Dataset

Related Edinburgh Organisations

PublisherEdinburgh DataShare
Date made available18 Jun 2019
Geographical coverageITALY,UK,IN,UNITED KINGDOM,INDIA,IT

Abstract

The domestic water buffalo (Bubalus bubalis) makes a major contribution to the global agricultural economy in the form of milk, meat, hides and draught power. The global water buffalo population is predominantly found in Asia, and per head of population more people depend upon the buffalo than on any other livestock species. Despite its agricultural importance, there are comparatively fewer genomic and transcriptomic resources available for buffalo than for other livestock species. We have generated a large-scale gene expression atlas covering multiple tissue and cell types from all major organ systems collected from three breeds of riverine water buffalo (Mediterranean, Pandharpuri and Bhadawari), and used the network analysis tool Graphia Professional to identify clusters of genes with similar expression profiles. Alongside similar data we and others have generated for ruminants as part of the Functional Annotation of Animal Genomes Consortium, this comprehensive transcriptome supports functional annotation and comparative analysis of the water buffalo genome.
This dataset contains, in GTF format, the full set of gene and transcript models assembled across all tissues and cell types comprising the water buffalo (Bubalus bubalis) expression atlas.

Data Citation

Young, Rachel; Lefevre, Lucas; Bush, Stephen J.; Joshi, Akshay; Singh, Salam Herojeet; Kumar Jadhav, Santosh; Lisowski, Zofia M.; Iamartino, Daniela; Summers, Kim M.; Williams, John L.; Archibald, Alan L.; Gokhale, Suresh; Kumar, Satish; Hume, David A.. (2019). De novo gene and transcript models created for a gene expression atlas of the domestic water buffalo (Bubalus bubalis), [dataset]. The Roslin Institute, University of Edinburgh. https://doi.org/10.7488/ds/2572.

ID: 99984726