2021
DOI: 10.1101/2021.04.04.438381
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Inter-chromosomal linkage disequilibrium and linked fitness cost loci associated with selection for herbicide resistance

Abstract: The adaptation of weedy plants to herbicide is both a significant problem in agriculture and a model for the study of rapid adaptation under regimes of strong selection. Despite recent advances in our understanding of simple genetic changes that lead to resistance, a significant gap remains in our knowledge of resistance controlled by many loci and the evolutionary factors that influence the maintenance of resistance over time. Here, we perform a multi-level analysis involving whole genome sequencing and assem… Show more

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Cited by 12 publications
(13 citation statements)
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References 118 publications
(167 reference statements)
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“…We find particularly extreme signed LD between TSR mutations and alleles on different chromosomes. LD between resistance alleles on different chromosomes has been interpreted as epistasis ( Gupta et al, 2021 ), but LD between alleles that are not physically linked may also result from the effects of additive alleles with correlated responses to selection (e.g. the stacking of resistance alleles; Busi et al, 2013 ).…”
Section: Discussionmentioning
confidence: 99%
“…We find particularly extreme signed LD between TSR mutations and alleles on different chromosomes. LD between resistance alleles on different chromosomes has been interpreted as epistasis ( Gupta et al, 2021 ), but LD between alleles that are not physically linked may also result from the effects of additive alleles with correlated responses to selection (e.g. the stacking of resistance alleles; Busi et al, 2013 ).…”
Section: Discussionmentioning
confidence: 99%
“…We aligned single‐end (1 × 52nt) adapter‐trimmed Illumina RNA‐seq reads separately for all samples to the Ipomoea purpurea version 2.0 genome (Gupta et al. 2021) using the splice aware STAR aligner in its basic two‐pass mode (Dobin et al. 2013).…”
Section: Methodsmentioning
confidence: 99%
“…We aligned single-end (1x52nt) adapter-trimmed Illumina RNA-seq reads separately for all samples to the Ipomoea purpurea v 2.0 genome [41] using the splice aware STAR aligner in its basic two-pass mode [42]. Genome annotation for STAR was generated using GATK's CreateSequenceDictionary (v4, [43]), samtools' v1.3 faidx function [44] and STAR's genomeGenerate option together with an Augustus-derived GFF3 annotation [45] provided with the v.2.0 assembly.…”
Section: Transcriptome Data Generationmentioning
confidence: 99%