2019
DOI: 10.1002/evl3.117
|View full text |Cite
|
Sign up to set email alerts
|

The genomic determinants of adaptive evolution in a fungal pathogen

Abstract: Unravelling the strength, frequency, and distribution of selective variants along the genome as well as the underlying factors shaping this distribution are fundamental goals of evolutionary biology. Antagonistic host‐pathogen coevolution is thought to be a major driver of genome evolution between interacting species. While rapid evolution of pathogens has been documented in several model organisms, the genetic mechanisms of their adaptation are still poorly understood and debated, particularly the role of sex… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

5
50
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
3
2

Relationship

3
6

Authors

Journals

citations
Cited by 69 publications
(57 citation statements)
references
References 78 publications
5
50
2
Order By: Relevance
“…We find no significant difference of synonymous nucleotide diversity (π S , figure 5A), non-synonymous diversity (π N , figure 5B), and ratio of non-synonymous to synonymous diversity (π N /π S , figure 5C) between genes in the three categories. This contrasts with results obtained in other fungal pathogens such as Z. tritici , where genes encoding effector proteins are evolving under relaxed purifying selection evidenced by a higher π N /π S ratio (Grandaubert et al ., 2019). The ratio of non-synonymous to synonymous divergences (d N /d S = ω), however, was found to be significantly higher in clustered genes than in non-clustered effectors, which have a significantly higher d N /d S than non-effector genes (figure 5D; P -value = 0.00599).…”
Section: Resultscontrasting
confidence: 90%
See 1 more Smart Citation
“…We find no significant difference of synonymous nucleotide diversity (π S , figure 5A), non-synonymous diversity (π N , figure 5B), and ratio of non-synonymous to synonymous diversity (π N /π S , figure 5C) between genes in the three categories. This contrasts with results obtained in other fungal pathogens such as Z. tritici , where genes encoding effector proteins are evolving under relaxed purifying selection evidenced by a higher π N /π S ratio (Grandaubert et al ., 2019). The ratio of non-synonymous to synonymous divergences (d N /d S = ω), however, was found to be significantly higher in clustered genes than in non-clustered effectors, which have a significantly higher d N /d S than non-effector genes (figure 5D; P -value = 0.00599).…”
Section: Resultscontrasting
confidence: 90%
“…A higher mutation rate can be caused by the activity of transposable elements (TEs), directly or indirectly: active TEs may locally introduce mutations, the generated occurrence of repeated sequence may lead to increased slippage of the DNA polymerase, and mechanisms protecting the genome against TEs may be leaky and affect surrounding regions (Horns et al ., 2012; Laurie et al ., 2012; Dutheil et al ., 2016). In addition, selection may impact diversity along the genome (Charlesworth, 2009; Gossmann et al ., 2011; Grandaubert et al ., 2019). All these mechanisms may act simultaneously and are difficult to disentangle.…”
Section: Resultsmentioning
confidence: 99%
“…All analyzed genomes and isolates used in this study are listed in Table S1 and originate from the following studies [32,33,[77][78][79][80][81][34][35][36][37]48,49,71,76]. We identified homologs of dim2 using the predicted 'deRIPed' protein sequence of Z. tritici IPO323 [25] as a template.…”
Section: Sequence Identification and Comparison Of Dna Methyltransfermentioning
confidence: 99%
“…Understanding the mechanisms and timescales associated with new epidemics is essential for both basic studies and the implementation of effective response measures [3]. A fundamental component of this knowledge is a detailed genome-scale understanding of the population structure and dynamics of global plant pathogen populations [4][5][6]. Population genetic information drives the selection of isolates for activities as diverse as basic mechanistic research and plant germplasm screening for disease resistance.…”
Section: Introductionmentioning
confidence: 99%