Protocol for genetic load analysis in caribou using a modified genomic evolutionary rate profiling

Area of Science:

• Genomics
• Evolutionary Biology
• Conservation Genetics

Background:

• Understanding genetic load is crucial for assessing the health and adaptability of wild populations.
• Caribou (Rangifer tarandus) populations face various environmental pressures, making genetic health assessments important.
• Existing methods for genetic load analysis can be complex and time-consuming.

Purpose of the Study:

• To present a refined protocol for analyzing genetic load in caribou.
• To adapt the genomic evolutionary rate profiling (GERP) program for this specific application.
• To provide a streamlined method for extracting and analyzing genetic data relevant to evolutionary conservation.

Main Methods:

• Utilized a modified genomic evolutionary rate profiling (GERP) program.
• Developed automated procedures for multi-species alignment and generation of evolutionary conservation scores.
• Implemented a streamlined process for extracting derived alleles from variant calling format (VCF) files using three outgroup species.

Main Results:

• The protocol enables the measurement of genetic load by identifying conserved sites and derived alleles.
• The method facilitates efficient data processing for large genomic datasets.
• The described protocol provides a reproducible framework for genetic load analysis in caribou.

Conclusions:

• The presented protocol offers a robust and efficient method for assessing genetic load in caribou populations.
• This approach can aid in conservation efforts by providing insights into population genetic health.
• The modified GERP protocol is a valuable tool for evolutionary and conservation genetics research.