Literature DB >> 33469716

Double-digest RAD-sequencing: do pre- and post-sequencing protocol parameters impact biological results?

Tristan Cumer1,2, Charles Pouchon1, Frédéric Boyer1, Glenn Yannic1, Delphine Rioux1, Aurélie Bonin1, Thibaut Capblancq3,4.   

Abstract

Next-generation sequencing technologies have opened a new era of research in population genetics. Following these new sequencing opportunities, the use of restriction enzyme-based genotyping techniques, such as restriction site-associated DNA sequencing (RAD-seq) or double-digest RAD-sequencing (ddRAD-seq), has dramatically increased in the last decade. From DNA sampling to SNP calling, the laboratory and bioinformatic parameters of enzyme-based techniques have been investigated in the literature. However, the impact of those parameters on downstream analyses and biological results remains less documented. In this study, we investigated the effects of sevral pre- and post-sequencing settings on ddRAD-seq results for two biological systems: a complex of butterfly species (Coenonympha sp.) and several populations of common beech (Fagus sylvatica). Our results suggest that pre-sequencing parameters (i.e., DNA quantity, number of PCR cycles during library preparation) have a significant impact on the number of recovered reads and SNPs, on the number of unique alleles and on individual heterozygosity. In the same way, we found that post-sequencing settings (i.e., clustering and minimum coverage thresholds) influenced loci reconstruction (e.g., number of loci, mean coverage) and SNP calling (e.g., number of SNPs; heterozygosity) but had only a marginal impact on downstream analyses (e.g., measure of genetic differentiation, estimation of individual admixture, and demographic inferences). In addition, replication analyses confirmed the reproducibility of the ddRAD-seq procedure. Overall, this study assesses the degree of sensitivity of ddRAD-seq data to pre- and post-sequencing protocols, and illustrates its robustness when studying population genetics.

Entities:  

Keywords:  Bioinformatics; Laboratory protocol; Molecular biology; Next-generation sequencing

Year:  2021        PMID: 33469716     DOI: 10.1007/s00438-020-01756-9

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  43 in total

1.  How to track and assess genotyping errors in population genetics studies.

Authors:  A Bonin; E Bellemain; P Bronken Eidesen; F Pompanon; C Brochmann; P Taberlet
Journal:  Mol Ecol       Date:  2004-11       Impact factor: 6.185

2.  Trade-offs and utility of alternative RADseq methods: reply to Puritz et al.

Authors:  Kimberly R Andrews; Paul A Hohenlohe; Michael R Miller; Brian K Hand; James E Seeb; Gordon Luikart
Journal:  Mol Ecol       Date:  2014-12       Impact factor: 6.185

3.  RADseq underestimates diversity and introduces genealogical biases due to nonrandom haplotype sampling.

Authors:  B Arnold; R B Corbett-Detig; D Hartl; K Bomblies
Journal:  Mol Ecol       Date:  2013-04-03       Impact factor: 6.185

4.  Recent novel approaches for population genomics data analysis.

Authors:  Kimberly R Andrews; Gordon Luikart
Journal:  Mol Ecol       Date:  2014-04       Impact factor: 6.185

5.  Comparative performance of double-digest RAD sequencing across divergent arachnid lineages.

Authors:  Mercedes Burns; James Starrett; Shahan Derkarabetian; Casey H Richart; Allan Cabrero; Marshal Hedin
Journal:  Mol Ecol Resour       Date:  2016-08-18       Impact factor: 7.090

6.  Rapid genetic and morphologic divergence between captive and wild populations of the endangered Leon Springs pupfish, Cyprinodon bovinus.

Authors:  Andrew N Black; Heidi A Seears; Christopher M Hollenbeck; Paul B Samollow
Journal:  Mol Ecol       Date:  2017-02-18       Impact factor: 6.185

Review 7.  Harnessing the power of RADseq for ecological and evolutionary genomics.

Authors:  Kimberly R Andrews; Jeffrey M Good; Michael R Miller; Gordon Luikart; Paul A Hohenlohe
Journal:  Nat Rev Genet       Date:  2016-01-05       Impact factor: 53.242

8.  Assessing the utility of whole genome amplified DNA for next-generation molecular ecology.

Authors:  Christopher Blair; C Ryan Campbell; Anne D Yoder
Journal:  Mol Ecol Resour       Date:  2015-02-08       Impact factor: 7.090

9.  Hybridization promotes speciation in Coenonympha butterflies.

Authors:  Thibaut Capblancq; Laurence Després; Delphine Rioux; Jesús Mavárez
Journal:  Mol Ecol       Date:  2015-12       Impact factor: 6.185

10.  Speciation with gene flow: Evidence from a complex of alpine butterflies (Coenonympha, Satyridae).

Authors:  Thibaut Capblancq; Jesús Mavárez; Delphine Rioux; Laurence Després
Journal:  Ecol Evol       Date:  2019-05-03       Impact factor: 2.912

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  2 in total

1.  Commonly used Hardy-Weinberg equilibrium filtering schemes impact population structure inferences using RADseq data.

Authors:  William S Pearman; Lara Urban; Alana Alexander
Journal:  Mol Ecol Resour       Date:  2022-06-05       Impact factor: 8.678

2.  Microevolutionary dynamics show tropical valleys are deeper for montane birds of the Atlantic Forest.

Authors:  Gregory Thom; Marcelo Gehara; Brian Tilston Smith; Cristina Y Miyaki; Fábio Raposo do Amaral
Journal:  Nat Commun       Date:  2021-11-01       Impact factor: 14.919

  2 in total

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