Diving in uncharted waters: An updated genetics toolkit highlights the challenges of polyploidy in landscape genomics analyses

Mol Ecol Resour. 2020 Jul;20(4):841-843. doi: 10.1111/1755-0998.13203. Epub 2020 Jul 2.

Abstract

As molecular ecologists, we have by necessity become adept at working across computational platforms. A diverse community of scientists has developed a broad array of analytical resources spanning command line to graphical user interface across Linux, Mac, and Windows environments and a dizzying array of program-specific input formats. In light of this, we often explore our data like free divers - filling our lungs with air and descending for a short period of time into one part of our data set before resurfacing, reformatting, and preparing for our next analysis. In this issue of Molecular Ecology Resources, Meirmans (2020) presents an updated version of GenoDive, a program with a toolkit that provides users with the opportunity to stay a while and delve deeper into the diverse portfolio of information provided by a genomic data set. The comprehensive nature of GenoDive coupled with its unique capability to handle both diploid and polyploid data also provides an opportunity to reflect on the unevenness of resources available for the analysis of polyploid versus diploid data. Since new updates include the addition of plug-ins for genotype-environment association analyses, we limit the observations presented here to the common tools used for landscape genomics analyses.

Keywords: allele dosage; clonality; genotype-environment association; landscape genomics; polyploidy; spatial autocorrelation.

MeSH terms

  • Animals
  • Computational Biology / methods
  • Ecology / methods
  • Genome / genetics*
  • Genomics / methods*
  • Humans
  • Polyploidy
  • Software