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Gopalan-Nair R, Coissac A, Legrand L, Lopez-Roques C, Pécrix Y, Vandecasteele C, Bouchez O, Barlet X, Lanois A, Givaudan A, Brillard J, Genin S, Guidot A. Changes in DNA methylation contribute to rapid adaptation in bacterial plant pathogen evolution. PLoS Biol 2024; 22:e3002792. [PMID: 39302959 PMCID: PMC11460718 DOI: 10.1371/journal.pbio.3002792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 10/08/2024] [Accepted: 08/07/2024] [Indexed: 09/22/2024] Open
Abstract
Adaptation is usually explained by beneficial genetic mutations that are transmitted from parents to offspring and become fixed in the adapted population. However, genetic mutation analysis alone is not sufficient to fully explain the adaptive processes, and several studies report the existence of nongenetic (or epigenetic) inheritance that can enable adaptation to new environments. In the present work, we tested the hypothesis of the role of DNA methylation, a form of epigenetic modification, in adaptation of the plant pathogen Ralstonia pseudosolanacearum to the host during experimental evolution. Using SMRT-seq technology, we analyzed the methylomes of 31 experimentally evolved clones obtained after serial passages on 5 different plant species during 300 generations. Comparison with the methylome of the ancestral clone revealed a list of 50 differential methylated sites (DMSs) at the GTWWAC motif. Gene expression analysis of the 39 genes targeted by these DMSs revealed limited correlation between differential methylation and differential expression of the corresponding genes. Only 1 gene showed a correlation, the RSp0338 gene encoding the EpsR regulator protein. The MSRE-qPCR technology, used as an alternative approach for DNA methylation analysis, also found the 2 DMSs upstream RSp0338. Using site-directed mutagenesis, we demonstrated the contribution of these 2 DMSs in host adaptation. As these DMSs appeared very early in the experimental evolution, we hypothesize that such fast epigenetic changes can allow rapid adaptation to the plant stem environment. In addition, we found that the change in DNA methylation upstream RSp0338 remains stable at least for 100 generations outside the host and thus can contribute to long-term adaptation to the host plant. To our knowledge, this is the first study showing a direct link between bacterial epigenetic variation and adaptation to a new environment.
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Affiliation(s)
| | - Aurore Coissac
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
| | - Ludovic Legrand
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
| | | | - Yann Pécrix
- PVBMT, Université de La Réunion, CIRAD, Saint-Pierre, Réunion Island, France
| | | | - Olivier Bouchez
- GeT-PlaGe, Genotoul, INRAE, US1426, Castanet-Tolosan, France
| | - Xavier Barlet
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
| | - Anne Lanois
- DGIMI, Université de Montpellier, INRAE, Montpellier, France
| | - Alain Givaudan
- DGIMI, Université de Montpellier, INRAE, Montpellier, France
| | - Julien Brillard
- DGIMI, Université de Montpellier, INRAE, Montpellier, France
| | - Stéphane Genin
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
| | - Alice Guidot
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
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Pan X, Liu B, Wen X, Liu Y, Zhang X, Li S, Li S. D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference. Genes (Basel) 2019; 10:genes10100807. [PMID: 31615113 PMCID: PMC6826513 DOI: 10.3390/genes10100807] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 09/26/2019] [Accepted: 10/08/2019] [Indexed: 12/21/2022] Open
Abstract
Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels, but is limited by a high cost. Recent studies have partitioned the genes into landmark genes and target genes and suggested that the landmark gene expression levels capture adequate information to reconstruct the target gene expression levels. This inspired us to propose that the methylation level of the promoters in landmark genes might be adequate to reconstruct the promoter methylation level of target genes, which would eventually reduce the cost of promoter methylation profiling. Here, we propose a deep learning model called Deep-Gene Promoter Methylation (D-GPM) to predict the whole-genome promoter methylation level based on the promoter methylation profile of the landmark genes from The Cancer Genome Atlas (TCGA). D-GPM-15%-7000 × 5, the optimal architecture of D-GPM, acquires the least overall mean absolute error (MAE) and the highest overall Pearson correlation coefficient (PCC), with values of 0.0329 and 0.8186, respectively, when testing data. Additionally, the D-GPM outperforms the regression tree (RT), linear regression (LR), and the support vector machine (SVM) in 95.66%, 92.65%, and 85.49% of the target genes by virtue of its relatively lower MAE and in 98.25%, 91.00%, and 81.56% of the target genes based on its relatively higher PCC, respectively. More importantly, the D-GPM predominates in predicting 79.86% and 78.34% of the target genes according to the model distribution of the least MAE and the highest PCC, respectively.
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Affiliation(s)
- Xingxin Pan
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China.
| | - Biao Liu
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China.
| | - Xingzhao Wen
- School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
| | - Yulu Liu
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China.
| | - Xiuqing Zhang
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China.
| | - Shengbin Li
- College of Medicine and Forensics, Xi'an Jiaotong University, Xi'an 710061, China.
| | - Shuaicheng Li
- Department of Computer Science, City University of Hong Kong, Kowloon 999077, Hong Kong.
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UHRF genes regulate programmed interdigital tissue regression and chondrogenesis in the embryonic limb. Cell Death Dis 2019; 10:347. [PMID: 31024001 PMCID: PMC6484032 DOI: 10.1038/s41419-019-1575-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/26/2019] [Accepted: 04/04/2019] [Indexed: 12/12/2022]
Abstract
The primordium of the limb contains a number of progenitors far superior to those necessary to form the skeletal components of this appendage. During the course of development, precursors that do not follow the skeletogenic program are removed by cell senescence and apoptosis. The formation of the digits provides the most representative example of embryonic remodeling via cell degeneration. In the hand/foot regions of the embryonic vertebrate limb (autopod), the interdigital tissue and the zones of interphalangeal joint formation undergo massive degeneration that accounts for jointed and free digit morphology. Developmental senescence and caspase-dependent apoptosis are considered responsible for these remodeling processes. Our study uncovers a new upstream level of regulation of remodeling by the epigenetic regulators Uhrf1 and Uhrf2 genes. These genes are spatially and temporally expressed in the pre-apoptotic regions. UHRF1 and UHRF2 showed a nuclear localization associated with foci of methylated cytosine. Interestingly, nuclear labeling increased in cells progressing through the stages of degeneration prior to TUNEL positivity. Functional analysis in cultured limb skeletal progenitors via the overexpression of either UHRF1 or UHRF2 inhibited chondrogenesis and induced cell senescence and apoptosis accompanied with changes in global and regional DNA methylation. Uhrfs modulated canonical cell differentiation factors, such as Sox9 and Scleraxis, promoted apoptosis via up-regulation of Bak1, and induced cell senescence, by arresting progenitors at the S phase and upregulating the expression of p21. Expression of Uhrf genes in vivo was positively modulated by FGF signaling. In the micromass culture assay Uhrf1 was down-regulated as the progenitors lost stemness and differentiated into cartilage. Together, our findings emphasize the importance of tuning the balance between cell differentiation and cell stemness as a central step in the initiation of the so-called “embryonic programmed cell death” and suggest that the structural organization of the chromatin, via epigenetic modifications, may be a precocious and critical factor in these regulatory events.
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Górnikiewicz B, Ronowicz A, Madanecki P, Sachadyn P. Genome-wide DNA methylation profiling of the regenerative MRL/MpJ mouse and two normal strains. Epigenomics 2017; 9:1105-1122. [DOI: 10.2217/epi-2017-0009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Aim: We aimed to identify the pivotal differences in the DNA methylation profiles between the regeneration capable MRL/MpJ mouse and reference mouse strains. Materials & methods: Global DNA methylation profiling was performed in ear pinnae, bone marrow, spleen, liver and heart from uninjured adult females of the MRL/MpJ and C57BL/6J and BALB/c. Results & conclusion: A number of differentially methylated regions (DMRs) distinguishing between the MRL/MpJ mouse and both references were identified. In the ear pinnae, the DMRs were enriched in genes associated with development, inflammation and apoptosis, and in binding sites of transcriptional modulator Smad1. Several DMRs overlapped previously mapped quantitative trait loci of regenerative capability. The results suggest potential epigenetic determinants of regenerative phenomenon.
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Affiliation(s)
- Bartosz Górnikiewicz
- Department of Molecular Biotechnology & Microbiology, Gdańsk University of Technology, Gdańsk, Poland
| | - Anna Ronowicz
- Department of Biology & Pharmaceutical Botany of Medical University of Gdańsk, Gdańsk, Poland
| | - Piotr Madanecki
- Department of Biology & Pharmaceutical Botany of Medical University of Gdańsk, Gdańsk, Poland
| | - Paweł Sachadyn
- Department of Molecular Biotechnology & Microbiology, Gdańsk University of Technology, Gdańsk, Poland
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