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RNA Sequencing for the Analysis of Complex Traits in Milk: Detection of Bacteria

Tuesday, August 19, 2014: 10:30 AM
Bayshore Grand Ballroom E-F (The Westin Bayshore)
Juan F Medrano , University of California, Davis, CA
Angela Canovas , University of California, Davis, Davis, CA
Alma Islas-Trejo , University of California, Davis, Davis, CA
Abstract Text:
RNA-Sequencing (RNA-Seq) has had a revolutionary impact on transcription analysis in cattle functional and structural genomics. The development and validation of non-invasive sampling techniques to examine the milk transcriptome using RNA-Seq has contributed to our wider understanding of the functional metabolic pathways affecting the composition and manufacturing properties of milk. Different milk cellular components such as somatic cells (SC) and milk fat globule membrane (MFG) have been used to examine the milk transcriptome, providing a practical non-invasive approach that has allowed extending this methodology to several mammalian species, including cattle, macaques and humans. In the present study we present new data examining the metatranscriptome of bovine milk to determine the composition and structure of bacterial populations affecting mastitis. RNA from MFG and SC from healthy and mastitic cows was examined. A detailed protocol is provided on how to sample MFG and SC from milk to perform RNA-Seq.

Keywords:
Transcriptome
Metatranscriptome
RNA-Seq
Genomics