09 Oct 2020
An evaluation of pool-sequencing transcriptome-based exon capture for population genomics in non-model speciesEmeline Deleury, Thomas Guillemaud, Aurélie Blin & Eric Lombaert https://doi.org/10.1101/583534
Assessing a novel sequencing-based approach for population genomics in non-model speciesRecommended by Thomas Derrien and Sebastian E. Ramos-Onsins based on reviews by Valentin Wucher and 1 anonymous reviewer
Developing new sequencing and bioinformatic strategies for non-model species is of great interest in many applications, such as phylogenetic studies of diverse related species, but also for studies in population genomics, where a relatively large number of individuals is necessary. Different approaches have been developed and used in these last two decades, such as RAD-Seq (e.g., Miller et al. 2007), exome sequencing (e.g., Teer and Mullikin 2010) and other genome reduced representation methods that avoid the use of a good reference and well annotated genome (reviewed at Davey et al. 2011). However, population genomics studies require the analysis of numerous individuals, which makes the studies still expensive. Pooling samples was thought as an inexpensive strategy to obtain estimates of variability and other related to the frequency spectrum, thus allowing the study of variability at population level (e.g., Van Tassell et al. 2008), although the major drawback was the loss of information related to the linkage of the variants. In addition, population analysis using all these sequencing strategies require statistical and empirical validations that are not always fully performed. A number of studies aiming to obtain unbiased estimates of variability using reduced representation libraries and/or with pooled data have been performed (e.g., Futschik and Schlötterer 2010, Gautier et al. 2013, Ferretti et al. 2013, Lynch et al. 2014), as well as validation of new sequencing methods for population genetic analyses (e.g., Gautier et al. 2013, Nevado et al. 2014). Nevertheless, empirical validation using both pooled and individual experimental approaches combined with different bioinformatic methods has not been always performed.
 Choquet et al. (2019). Towards population genomics in non-model species with large genomes: a case study of the marine zooplankton Calanus finmarchicus. Royal Society open science, 6(2), 180608. doi: https://doi.org/10.1098/rsos.180608
|An evaluation of pool-sequencing transcriptome-based exon capture for population genomics in non-model species
|Emeline Deleury, Thomas Guillemaud, Aurélie Blin & Eric Lombaert
|<p>Exon capture coupled to high-throughput sequencing constitutes a cost-effective technical solution for addressing specific questions in evolutionary biology by focusing on expressed regions of the genome preferentially targeted by selection. Tr...
|Bioinformatics, Population genomics
24 Sep 2020
A rapid and simple method for assessing and representing genome sequence relatednessM Briand, M Bouzid, G Hunault, M Legeay, M Fischer-Le Saux, M Barret https://doi.org/10.1101/569640
A quick alternative method for resolving bacterial taxonomy using short identical DNA sequences in genomes or metagenomesRecommended by B. Jesse Shapiro based on reviews by Gavin Douglas and 1 anonymous reviewer
The bacterial species problem can be summarized as follows: bacteria recombine too little, and yet too much (Shapiro 2019).
Arevalo P, VanInsberghe D, Elsherbini J, Gore J, Polz MF (2019) A Reverse Ecology Approach Based on a Biological Definition of Microbial Populations. Cell, 178, 820-834.e14. https://doi.org/10.1016/j.cell.2019.06.033
|A rapid and simple method for assessing and representing genome sequence relatedness
|M Briand, M Bouzid, G Hunault, M Legeay, M Fischer-Le Saux, M Barret
|<p>Coherent genomic groups are frequently used as a proxy for bacterial species delineation through computation of overall genome relatedness indices (OGRI). Average nucleotide identity (ANI) is a widely employed method for estimating relatedness ...
|B. Jesse Shapiro