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Extensive chromosomal reshuffling drives evolution of virulence in an asexual pathogen

TLDR
It is shown that extensive chromosomal rearrangements in the strictly asexual plant pathogenic fungus Verticillium dahliae establish highly dynamic lineage-specific genomic regions that act as a source for genetic variation to mediate aggressiveness.
Abstract
Sexual recombination drives genetic diversity in eukaryotic genomes and fosters adaptation to novel environmental challenges. Although strictly asexual microorganisms are often considered as evolutionary dead ends, they comprise many devastating plant pathogens. Presently, it remains unknown how such asexual pathogens generate the genetic variation that is required for quick adaptation and evolution in the arms race with their hosts. Here, we show that extensive chromosomal rearrangements in the strictly asexual plant pathogenic fungus Verticillium dahliae establish highly dynamic lineage-specific (LS) genomic regions that act as a source for genetic variation to mediate aggressiveness. We show that such LS regions are greatly enriched for in planta-expressed effector genes encoding secreted proteins that enable host colonization. The LS regions occur at the flanks of chromosomal breakpoints and are enriched for retrotransposons and other repetitive sequence elements. Our results suggest that asexual pathogens may evolve by prompting chromosomal rearrangements, enabling rapid development of novel effector genes. Likely, chromosomal reshuffling can act as a general mechanism for adaptation in asexually propagating organisms.

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Citations
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Automated Eukaryotic Gene Structure Annotation Using EVidenceModeler and the Program to Assemble Spliced Alignments

TL;DR: The experiments on both rice and human genome sequences demonstrate that EVM produces automated gene structure annotation approaching the quality of manual curation.
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Fungal Effectors and Plant Susceptibility

TL;DR: This review describes the effector repertoires of 84 plant-colonizing fungi and focuses on the mechanisms that allow these fungal effectors to promote virulence or compatibility, discuss common plant nodes that are targeted by effectors, and provide recent insights into effector evolution.
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Understanding Plant Immunity as a Surveillance System to Detect Invasion

TL;DR: An alternative view of plant innate immunity as a system that evolves to detect invasion is discussed, which accommodates the range from mutualistic to parasitic symbioses that plants form with diverse organisms, as well as the spectrum of ligands that the plant immune system perceives.
Journal Article

The genome of Nectria haematococca: contribution of supernumerary chromosomes to gene expansion

TL;DR: In this article, the authors analyzed the most extensively studied member of this complex, Nectria haematococca mating population VI (MPVI), and revealed that several genes controlling the ability of individual isolates of this species to colonize specific habitats are located on supernumerary chromosomes.
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Cotton plants export microRNAs to inhibit virulence gene expression in a fungal pathogen

TL;DR: This work shows that in response to infection with Verticillium dahliae, cotton plants increase production of microRNA 166 and miR159 and export both to the fungal hyphae for specific silencing, identifying a novel defence strategy of host plants by exporting specific miRNAs to induce cross-kingdom gene silencing in pathogenic fungi and confer disease resistance.
References
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Journal ArticleDOI

MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods

TL;DR: The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models, inferring ancestral states and sequences, and estimating evolutionary rates site-by-site.
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The Pfam protein families database

TL;DR: The definition and use of family-specific, manually curated gathering thresholds are explained and some of the features of domains of unknown function (also known as DUFs) are discussed, which constitute a rapidly growing class of families within Pfam.
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Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

TL;DR: The results suggest that Cufflinks can illuminate the substantial regulatory flexibility and complexity in even this well-studied model of muscle development and that it can improve transcriptome-based genome annotation.
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TopHat: discovering splice junctions with RNA-Seq

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