Measuring Genome Sizes Using Read-Depth, k-mers, and Flow Cytometry: Methodological Comparisons in Beetles (Coleoptera).

Autor: Pflug JM; Department of Integrative Biology, Oregon State University, Corvallis, OR 97331 pflugja@gmail.com., Holmes VR; Department of Entomology, Texas A&M University, College Station, TX 77843., Burrus C; Department of Entomology, Texas A&M University, College Station, TX 77843., Johnston JS; Department of Entomology, Texas A&M University, College Station, TX 77843., Maddison DR; Department of Integrative Biology, Oregon State University, Corvallis, OR 97331.
Jazyk: angličtina
Zdroj: G3 (Bethesda, Md.) [G3 (Bethesda)] 2020 Sep 02; Vol. 10 (9), pp. 3047-3060. Date of Electronic Publication: 2020 Sep 02.
DOI: 10.1534/g3.120.401028
Abstrakt: Measuring genome size across different species can yield important insights into evolution of the genome and allow for more informed decisions when designing next-generation genomic sequencing projects. New techniques for estimating genome size using shallow genomic sequence data have emerged which have the potential to augment our knowledge of genome sizes, yet these methods have only been used in a limited number of empirical studies. In this project, we compare estimation methods using next-generation sequencing (k-mer methods and average read depth of single-copy genes) to measurements from flow cytometry, a standard method for genome size measures, using ground beetles (Carabidae) and other members of the beetle suborder Adephaga as our test system. We also present a new protocol for using read-depth of single-copy genes to estimate genome size. Additionally, we report flow cytometry measurements for five previously unmeasured carabid species, as well as 21 new draft genomes and six new draft transcriptomes across eight species of adephagan beetles. No single sequence-based method performed well on all species, and all tended to underestimate the genome sizes, although only slightly in most samples. For one species, Bembidion sp. nr. transversale , most sequence-based methods yielded estimates half the size suggested by flow cytometry.
(Copyright © 2020 Pflug et al.)
Databáze: MEDLINE
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