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Lesur I, Rogier O, Sow MD, Boury C, Duplan A, Garnier A, Senhaji-Rachik A, Civan P, Daron J, Delaunay A, Duvaux L, Benoit V, Guichoux E, Le Provost G, Sanou E, Ambroise C, Plomion C, Salse J, Segura V, Tost J, Maury S. A strategy for studying epigenetic diversity in natural populations: proof of concept in poplar and oak. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:5568-5584. [PMID: 38889253 DOI: 10.1093/jxb/erae266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 06/17/2024] [Indexed: 06/20/2024]
Abstract
In the last 20 years, several techniques have been developed for quantifying DNA methylation, the most studied epigenetic marks in eukaryotes, including the gold standard method, whole-genome bisulfite sequencing (WGBS). WGBS quantifies genome-wide DNA methylation but has several inconveniences rendering it less suitable for population-scale epigenetic studies. The high cost of deep sequencing and the large amounts of data generated prompted us to seek an alternative approach. Restricting studies to parts of the genome would be a satisfactory alternative had there not been a major limitation: the need to select upstream targets corresponding to differentially methylated regions as targets. Given the need to study large numbers of samples, we propose a strategy for investigating DNA methylation variation in natural populations, taking into account the structural complexity of genomes, their size, and their content in unique coding regions versus repeated regions as transposable elements. We first identified regions of highly variable DNA methylation in a subset of genotypes representative of the biological diversity in the population by WGBS. We then analysed the variations of DNA methylation in these targeted regions at the population level by sequencing capture bisulfite (SeqCapBis). The entire strategy was then validated by applying it to another species. Our strategy was developed as a proof of concept on natural populations of two forest species: Populus nigra and Quercus petraea.
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Affiliation(s)
- Isabelle Lesur
- INRAE, Univ. Bordeaux, BIOGECO, F-33610 Cestas, France
- HelixVenture, F-33700 Mérignac, France
| | | | - Mamadou Dia Sow
- INRAE/UCA UMR GDEC 1095. 5 Chemin de Beaulieu, F-63100 Clermont Ferrand, France
- P2e, INRAE, Université d'Orleans, EA 1207 USC 1328, F-45067 Orleans, France
| | | | - Alexandre Duplan
- INRAE, ONF, BioForA, F-45075 Orléans, France
- P2e, INRAE, Université d'Orleans, EA 1207 USC 1328, F-45067 Orleans, France
| | - Abel Garnier
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie, François Jacob, Université Paris-Saclay, F-91000 Evry, France
| | | | - Peter Civan
- INRAE/UCA UMR GDEC 1095. 5 Chemin de Beaulieu, F-63100 Clermont Ferrand, France
| | - Josquin Daron
- Institut Pasteur, Université Paris Cité, CNRS UMR2000, Insect-Virus Interactions Unit, F-75724 Paris, France
| | - Alain Delaunay
- P2e, INRAE, Université d'Orleans, EA 1207 USC 1328, F-45067 Orleans, France
| | | | | | | | | | - Edmond Sanou
- LaMME, 23 Bd. de France, F-91037 Évry Cedex, France
| | | | | | - Jérôme Salse
- INRAE/UCA UMR GDEC 1095. 5 Chemin de Beaulieu, F-63100 Clermont Ferrand, France
| | - Vincent Segura
- INRAE, ONF, BioForA, F-45075 Orléans, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro Montpellier, F-34398 Montpellier, France
| | - Jörg Tost
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie, François Jacob, Université Paris-Saclay, F-91000 Evry, France
| | - Stéphane Maury
- P2e, INRAE, Université d'Orleans, EA 1207 USC 1328, F-45067 Orleans, France
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Assessing the Genetic Identity of Tuscan Sweet Chestnut (Castanea sativa Mill.). FORESTS 2022. [DOI: 10.3390/f13070967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The sweet chestnut (Castanea sativa Mill.) is an important species of European trees, studied for both ecological and economic reasons. Its cultivation in the Italian peninsula can be linked to the Roman period and has been documented, especially in the Tuscan region, for centuries. We sampled 131 grafted trees from three separate areas to determine the genetic variability between populations and assess genetic identity for different varieties of trees, which is useful for future breeding programs and propagation efforts. Molecular analyses were performed using eight microsatellite loci. A total of 98 alleles was detected with an average of 12.3 alleles per locus. We found high levels of genetic diversity within the varieties of the same area, ranging between He = 0.682–0.745. Of the eight loci, seven were found to be at Hardy-Weinberg equilibrium. (FST values Differentiation between cultivation areas was significant between 0.052–0.147) with the two Southern Tuscan areas showing the closest relationship as also indicated by Bayesian inference of the population structure, which revealed the existence of three ancestral gene pools of origin. Demographic events were detected by a coalescent-based approximate Bayesian computation in two of the homogeneous clusters. This work is a step forward for the conservation of this iconic species, albeit at a regional level, as chestnut varieties have never received the full attention of breeders.
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