2018
DOI: 10.1007/s00227-018-3310-6
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Morphological and epigenetic variation in mussels from contrasting environments

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Cited by 10 publications
(9 citation statements)
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“…Our results might have been different with other tissues like muscle [ 33 , 74 , 75 , 76 ], blood [ 34 , 77 , 78 ], liver [ 79 , 80 ], or gill tissue [ 81 ]. Some authors made different choices to avoid tissue-specific differences such as gonads [ 56 ] or even whole organism when it is relatively small in body size [ 36 , 82 , 83 , 84 ]. Second, we used a MS-AFLP protocol, which is currently the most widely used approach for inferring epigenetic diversity in wild populations [ 37 , 78 , 81 , 85 ].…”
Section: Discussionmentioning
confidence: 99%
“…Our results might have been different with other tissues like muscle [ 33 , 74 , 75 , 76 ], blood [ 34 , 77 , 78 ], liver [ 79 , 80 ], or gill tissue [ 81 ]. Some authors made different choices to avoid tissue-specific differences such as gonads [ 56 ] or even whole organism when it is relatively small in body size [ 36 , 82 , 83 , 84 ]. Second, we used a MS-AFLP protocol, which is currently the most widely used approach for inferring epigenetic diversity in wild populations [ 37 , 78 , 81 , 85 ].…”
Section: Discussionmentioning
confidence: 99%
“…For MSAP, this package detects the activity of each restriction enzyme and classifies each locus depending on the methylation state of the cytosines present in the target sequence (Supplementary Data Table S2 ). Thus, the loci were classified as Methylation-Susceptible Loci (MSL), which are used to assess epigenetic variation, or Non-Methylated Loci (NML), used as a proxy to assess genetic variation (Watson et al 2018 ). Variations among MSL were also calculated with the Shannon’s diversity index ( S ), and epigenetic variations among plots and climatic treatments were also explored by principal coordinate analyses (PCoA) based on Euclidean distance matrix, implemented in the msap package.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, an analysis of the molecular variance (AMOVA) was used for the estimation of variance components and the Phi -statistic (analogue to the F-statistic for binary data) to reflect genetic and epigenetic diversity (Excoffier et al 1992 ). In order to determine those loci showing non-randomly distributed methylation patterns between treatments (h for hemimethylation, i for methylation of inner cytosines, u for non-methylation, and f for uninformative state, which may be due to full methylation or changes in the nucleotide sequence of the target), a locus -by- locus Chi -squared test was performed using the MSL, following the reproducible example script for R found in Watson et al ( 2018 ). To control the false discovery rate (FDR), a BH multitest adjustment was adopted (Benjamini and Hochberg 1995 ), and those MSL with p-value < 0.001 were considered as significantly differentiated.…”
Section: Methodsmentioning
confidence: 99%
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“…Most of these studies focused on plants with the genome reference at the individual level (e.g., Colicchio et al, 2018 ; Jueterbock et al, 2020 ). However, roles of epigenetic variation in plastic responses of natural populations to specific environment changes is still largely unknown, especially for non-traditional model organisms lacking the genome reference ( Paun et al, 2010 ; Abratowska et al, 2012 ; Rico et al, 2014 ; Watson et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%