2022
DOI: 10.1101/2022.03.04.482637
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GenErode: a bioinformatics pipeline to investigate genome erosion in endangered and extinct species

Abstract: Background: Many wild species have suffered drastic population size declines over the past centuries, which have led to 'genomic erosion' processes characterized by reduced genetic diversity, increased inbreeding, and accumulation of harmful mutations. Yet, genomic erosion estimates of modern-day populations often lack concordance with dwindling population sizes and conservation status of threatened species. One way to directly quantify the genomic consequences of population declines is to compare genome-wide … Show more

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Cited by 7 publications
(12 citation statements)
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“…The assessment of extinction rate should be based on the best-available data and methods to evaluate all aspects of genomic erosion, and not just genetic diversity. Given their high technical complexity, we believe these analyses should be done in a standardised way 112,114 and with a common set of metrics 115 to help translate this knowledge into conservation management action 116,117,118 . A database that quantifies genomic erosion is likely to become instrumental in underpinning future conservation efforts to help stem the biodiversity crisis in the UN’s Decade on Ecosystem Restoration and beyond.…”
Section: Discussionmentioning
confidence: 99%
“…The assessment of extinction rate should be based on the best-available data and methods to evaluate all aspects of genomic erosion, and not just genetic diversity. Given their high technical complexity, we believe these analyses should be done in a standardised way 112,114 and with a common set of metrics 115 to help translate this knowledge into conservation management action 116,117,118 . A database that quantifies genomic erosion is likely to become instrumental in underpinning future conservation efforts to help stem the biodiversity crisis in the UN’s Decade on Ecosystem Restoration and beyond.…”
Section: Discussionmentioning
confidence: 99%
“…Raw resequencing data was demultiplexed using bcl2Fastq v2.17.1 (Illumina Inc.), and then trimmed and mapped to the reference de novo genome using a development version of GenErode ( https://github.com/NBISweden/GenErode , [ 54 ]), where adapters were removed using a modified version of SeqPrep v1.1 ( https://github.com/jstjohn/SeqPrep ) as per [ 34 ]. Endogenous DNA content for all 59 samples was estimated from the BAM files prior to duplicate removal.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, we identified repeats using repeatmodeler v1.0.11 and repeatmasker v4.0.7 [Smit, A.F.A. and Hubley, R. (2008–2015) RepeatModeler Open-1.0, http://www.repeatmasker.org/ ] and CpG sites using the GenErode bioinformatics pipeline [ 82 ].…”
Section: Methodsmentioning
confidence: 99%
“…Mapping and variant calling for historical and modern data was done using a beta version of the GenErode bioinformatics pipeline [ 82 ]. Briefly, adapter trimming was done with trimmomatic v0.32 [ 83 ] for modern samples while we used Seqprep v1.1 ( https://github.com/jstjohn/SeqPrep ) to trim and merge forward and reverse reads for historical samples.…”
Section: Methodsmentioning
confidence: 99%