Abstract:The phenotypic plasticity of plants in response to change in their light environment, and in particularly, to shade is a schoolbook example of ecologically relevant phenotypic plasticity with evolutionary adaptive implications. Epigenetic variation is known to potentially underlie plant phenotypic plasticity. Yet, little is known about its role in ecologically and evolutionary relevant mechanisms shaping the diversity of plant populations in nature. Here we used a reference-free reduced representation bisulfit… Show more
“…To date, published papers using epiGBS have been mainly limited to plant species (e.g. Alvarez et al, 2020; Moorsel et al, 2019; Mouginot et al, 2021; Mounger et al, 2021; Prudencio et al, 2018), but also include studies from vertebrates (Meröndun et al, 2019) and molluscs (Johnson & Kelly, 2020). By making the use of restriction enzymes more flexible (including double RE digest), epiGBS2 allows for easier implementation in many different organisms, including those where standard RRBS used to be the preferred method.…”
Several reduced-representation bisulfite sequencing methods have been developed in recent years to determine cytosine methylation de novo in nonmodel species. Here, we present epiGBS2, a laboratory protocol based on epiGBS with a revised and userfriendly bioinformatics pipeline for a wide range of species with or without a reference genome. epiGBS2 is cost-and time-efficient and the computational workflow is designed in a user-friendly and reproducible manner. The library protocol allows a flexible choice of restriction enzymes and a double digest. The bioinformatics pipeline was integrated in the Snakemake workflow management system, which makes the pipeline easy to execute and modular, and parameter settings for important computational steps flexible. We implemented biSmark for alignment and methylation analysis and we preprocessed alignment files by double masking to enable single nucleotide polymorphism calling with FreebayeS (epiFreebayeS). The performance of several critical steps in epiGBS2 was evaluated against baseline data sets from Arabidopsis thaliana and great tit (Parus major), which confirmed its overall good performance. We provide a detailed description of the laboratory protocol and an extensive manual of the
“…To date, published papers using epiGBS have been mainly limited to plant species (e.g. Alvarez et al, 2020; Moorsel et al, 2019; Mouginot et al, 2021; Mounger et al, 2021; Prudencio et al, 2018), but also include studies from vertebrates (Meröndun et al, 2019) and molluscs (Johnson & Kelly, 2020). By making the use of restriction enzymes more flexible (including double RE digest), epiGBS2 allows for easier implementation in many different organisms, including those where standard RRBS used to be the preferred method.…”
Several reduced-representation bisulfite sequencing methods have been developed in recent years to determine cytosine methylation de novo in nonmodel species. Here, we present epiGBS2, a laboratory protocol based on epiGBS with a revised and userfriendly bioinformatics pipeline for a wide range of species with or without a reference genome. epiGBS2 is cost-and time-efficient and the computational workflow is designed in a user-friendly and reproducible manner. The library protocol allows a flexible choice of restriction enzymes and a double digest. The bioinformatics pipeline was integrated in the Snakemake workflow management system, which makes the pipeline easy to execute and modular, and parameter settings for important computational steps flexible. We implemented biSmark for alignment and methylation analysis and we preprocessed alignment files by double masking to enable single nucleotide polymorphism calling with FreebayeS (epiFreebayeS). The performance of several critical steps in epiGBS2 was evaluated against baseline data sets from Arabidopsis thaliana and great tit (Parus major), which confirmed its overall good performance. We provide a detailed description of the laboratory protocol and an extensive manual of the
“…It has been proved that DNA methylation is responsible of phenotypic variation in plants ( Martin et al, 2009 ; Mougninot et al, 2021 ; Zhao et al, 2021 ). Considering that different types of stress, such as abiotic stress, can trigger methylation, eventually leading to variation of gene expression, this field of research has become a useful tool for understanding how tree species deal with the environment variations.…”
Section: Epigenetic Mechanisms Under a Climate Changing Scenariomentioning
Forest tree species are highly vulnerable to the effects of climate change. As sessile organisms with long generation times, their adaptation to a local changing environment may rely on epigenetic modifications when allele frequencies are not able to shift fast enough. However, the current lack of knowledge on this field is remarkable, due to many challenges that researchers face when studying this issue. Huge genome sizes, absence of reference genomes and annotation, and having to analyze huge amounts of data are among these difficulties, which limit the current ability to understand how climate change drives tree species epigenetic modifications. In spite of this challenging framework, some insights on the relationships among climate change-induced stress and epigenomics are coming. Advances in DNA sequencing technologies and an increasing number of studies dealing with this topic must boost our knowledge on tree adaptive capacity to changing environmental conditions. Here, we discuss challenges and perspectives in the epigenetics of climate change-induced forests decline, aiming to provide a general overview of the state of the art.
“…A unique seasonal peak of germination across years is documented in snapdragon cultivated plants (Bhargava et al, 2015 ; Kang & Choi, 2006 ). Furthermore, snapdragon plants exhibit a strong phenotypic plasticity in response to shade and its suite of covarying environmental factors, for example temperature, water availability (Gourcilleau et al, 2019 ; Mouginot et al, 2021 ; Mousset et al, 2021 ), including in their seed germination that is delayed up to several days or prevented by shade (Kang & Choi, 2006 ; Smith & Whitelam, 1997 ). Germination sensitiveness to light is common in small‐seeded species (Baskin & Baskin, 2014 ).…”
Our ability to investigate adaptation presents a number of complications resulting from the multidimensional complexity of the environment. Awareness on this issue was recently raised in the scientific literature (Anderson & Wadgymar, 2020;Chevin & Lande, 2015;Westneat et al., 2019). From a practical perspective, the adaptation or maladaptation of populations to their habitat is generally inferred on the basis of their genetic differentiation for fitness-related traits (Hereford, 2009;Leimu &
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