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Sheehy O, Eltonsy S, Hawken S, Walker M, Kaul P, Winquist B, Barrett O, Savu A, Dragan R, Pugliese M, Bernatsky S, Gorgui J, Bérard A. Health Canada advisory impacts on the prevalence of oral codeine use in the Pediatric Canadian population: comparative study across provinces. Sci Rep 2024; 14:5370. [PMID: 38438444 PMCID: PMC10912710 DOI: 10.1038/s41598-024-55758-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 02/27/2024] [Indexed: 03/06/2024] Open
Abstract
Health Canada (HC) has, since 2013, issued safety alerts restricting the use of codeine-containing drugs among breastfeeding women and children/adolescents under 18 years of age. These products are linked to breathing problems among ultra-rapid CYP2D6 metabolizers and early use of opioid can lead to future opioid misuse. Using a multi-province population-based cohort study, we estimate the impact of federal safety alerts on annual rates of codeine use in the Canadian pediatric population. We analyzed data from 8,156,948 children/adolescents in five Canadian provinces between 1996 and 2021, using a common protocol. Children/adolescents were categorized as: ≤ 12 years (children) or > 12 years (adolescents). We defined codeine exposure by ≥ 1 prescription filled for codeine alone or combined with other medications. For both age categories, we obtained province-specific codeine prescription filling rates per calendar year by dividing the number of children/adolescents with ≥ 1 codeine prescription filled by the number of person-time. Annual rates of codeine use per 1000 persons vary by province from 3.0 (Quebec) to 10.1 (Manitoba) in children, and from 5.5 to 51.3 in adolescents. After the 2013 HC advisory, exposure decreased in all provinces (adjusted level change from - 0.6 to - 18.4%) in children and from - 2.1 to - 17.9% in adolescents after the 2016 advisory. Annual rates declined over time in all provinces, following HC safety alerts specific to each of the two age categories.
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Affiliation(s)
- O Sheehy
- CHU Sainte-Justine, Research Center, 3175, Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - S Eltonsy
- Rady Faculty, College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada
| | - S Hawken
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Scholl of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- ICES, Ottawa, ON, Canada
| | - M Walker
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Scholl of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Better Outcomes Registry and Network (BORN) Ontario, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
- Departement of Obstetrics and Gynecology, University of Ottawa, Ottawa, ON, Canada
- Department of Obstetrics, Gynecology and Newborn Care, The Ottawa Hospital, Ottawa, ON, Canada
- International and Global Health Office, University of Ottawa, Ottawa, ON, Canada
| | - P Kaul
- Department of Medicine Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - B Winquist
- Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, Canada
| | - O Barrett
- Data and Analytics, Alberta Health Services, Calgary, AB, Canada
| | - A Savu
- Department of Medicine Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - R Dragan
- Manitoba Centre for Health Policy, Winnipeg, MB, Canada
| | - M Pugliese
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, ICES uOttawa, Ottawa, ON, Canada
| | - S Bernatsky
- Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - J Gorgui
- CHU Sainte-Justine, Research Center, 3175, Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada
| | - A Bérard
- CHU Sainte-Justine, Research Center, 3175, Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada.
- Faculty of Pharmacy, University of Montreal, Montreal, QC, Canada.
- Faculty of Medicine, Université Claude Bernard Lyon 1, Lyon, France.
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Flatman LK, Malhamé I, Colmegna I, Bérard A, Bernatsky S, Vinet É. Tumour necrosis factor inhibitors and serious infections in reproductive-age women and their offspring: a narrative review. Scand J Rheumatol 2024:1-12. [PMID: 38314746 DOI: 10.1080/03009742.2024.2303832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/08/2024] [Indexed: 02/07/2024]
Abstract
Tumour necrosis factor inhibitors (TNFi) are commonly used to treat patients with chronic inflammatory diseases, and function by inhibiting the pro-inflammatory cytokine tumour necrosis factor-α (TNF-α). Although beneficial in reducing disease activity, they are associated with an increased risk of serious infections. Data on the risk of serious infections associated with TNFi use during the reproductive years, particularly in pregnancy, are limited. For pregnant women, there is an additional risk of immunosuppression in the offspring as TNFi can be actively transported across the placenta, which increases in the second and third trimesters. Several studies have explored the risk of serious infections with TNFi exposure in non-pregnant and pregnant patients and offspring exposed in utero, indicating an increased risk in non-pregnant patients and a potentially increased risk in pregnant patients. The studies on TNFi-exposed offspring showed conflicting results between in utero TNFi exposure and serious infections during the offspring's first year. Further research is needed to understand differential risks based on TNFi subtypes. Guidelines conditionally recommend the rotavirus vaccine before 6 months of age for offspring exposed to TNFi in utero, but more data are needed to support these recommendations because of limited evidence. This narrative review provides an overview of the risk in non-pregnant patients and summarizes evidence on how pregnancy can increase vulnerability to certain infections and how TNFi may influence this susceptibility. This review focuses on the evidence regarding the risk of serious infections in pregnant patients exposed to TNFi and the risk of infections in their offspring.
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Affiliation(s)
- L K Flatman
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - I Malhamé
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Division of General Internal Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - I Colmegna
- Division of Rheumatology, McGill University Health Centre, Montreal, Quebec, Canada
| | - A Bérard
- Faculty of Pharmacy, University of Montreal, Montreal, Quebec, Canada
- Research Center, CHU Sainte-Justine, Montreal, Quebec, Canada
- Faculty of Medicine, Université Claude Bernard Lyon 1, Lyon, France
| | - S Bernatsky
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Rheumatology, Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - É Vinet
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Rheumatology, Division of Clinical Epidemiology, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
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3
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Toufeili A, Cohen E, Ray JG, Wilton AS, Brown HK, Saunders NR, Dennis CL, Holloway AC, Morrison KM, Hanley GE, Oberlander TF, Bérard A, Tu K, Barker LC, Vigod SN. Complex chronic conditions among children born to women with schizophrenia. Schizophr Res 2022; 241:24-35. [PMID: 35074529 DOI: 10.1016/j.schres.2021.12.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 09/28/2021] [Accepted: 12/12/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE Maternal schizophrenia is linked to complications in offspring near the time of birth. Whether there is also a higher future risk of the child having a complex chronic condition (CCC) - a pediatric condition affecting any bodily system expected to last at least 12 months that is severe enough to require specialty care and/or a period of hospitalization - is not known. METHODS In this population-based health administrative data cohort study (Ontario, Canada, 1995-2018), the risk for CCC was compared in 5066 children of women with schizophrenia (the exposed) vs. 2,939,320 unexposed children. Adjusted hazard ratios (aHR) were generated for occurrence of any CCC, by CCC category, and stratified by child sex, and child prematurity. RESULTS CCC was more frequent in the exposed (7.7 per 1000 person-years [268 children]) than unexposed (4.2 per 100 person-years [124,452 children]) - an aHR of 1.25 (95% CI 1.10-1.41). aHRs were notably higher in 5 of 9 CCC categories: neuromuscular (1.73, 1.28-2.33), cardiovascular (1.94, 1.64-2.29), respiratory (1.83, 1.32-2.54), hematology/immunodeficiency (2.24, 1.24-4.05) and other congenital or genetic defect (1.59, 1.16-2.17). The aHR for CCC was more pronounced among boys (1.32, 1.13-1.55) than girls (1.16, 0.96-1.40), and of similar magnitude in term (1.22, 1.05-1.42) and preterm infants (1.18, 0.95-1.46). CONCLUSIONS The risk for a CCC appears to be higher in children born to women with schizophrenia. This finding introduces opportunities for targeted preconception counselling, optimization of maternal risk factors, and intervention to support a vulnerable parent population who will experience unique challenges caring for a child with CCCs.
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Affiliation(s)
- A Toufeili
- Dept. of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - E Cohen
- Dept. of Pediatrics and Edwin S.H. Leong Centre for Healthy Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Hospital for Sick Children, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - J G Ray
- ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; St. Michael's Hospital, Toronto, Ontario, Canada
| | | | - H K Brown
- ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Health & Society, University of Toronto Scarborough, Toronto, Ontario, Canada; Women's College Hospital and Research Institute, Toronto, Ontario, Canada
| | - N R Saunders
- Dept. of Pediatrics and Edwin S.H. Leong Centre for Healthy Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Hospital for Sick Children, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - C L Dennis
- St. Michael's Hospital, Toronto, Ontario, Canada; Women's College Hospital and Research Institute, Toronto, Ontario, Canada; Faculty of Nursing, Toronto, Ontario, Canada
| | - A C Holloway
- Department of Obstetrics and Gynecology, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - K M Morrison
- Department of Pediatrics, Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - G E Hanley
- Women's College Hospital and Research Institute, Toronto, Ontario, Canada; University of British Columbia, Vancouver, British Columbia, Canada
| | - T F Oberlander
- University of British Columbia, Vancouver, British Columbia, Canada
| | - A Bérard
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada; Faculty of Pharmacy, University of Montreal, Montreal, Quebec, Canada
| | - K Tu
- Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Toronto, Canada; North York General Hospital, Toronto, Ontario, Canada; Toronto Western Hospital Family Health Team-University Health Network, Toronto, Ontario, Canada
| | - L C Barker
- Dept. of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Women's College Hospital and Research Institute, Toronto, Ontario, Canada
| | - S N Vigod
- Dept. of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada; Women's College Hospital and Research Institute, Toronto, Ontario, Canada.
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Debray K, Le Paslier MC, Bérard A, Thouroude T, Michel G, Marie-Magdelaine J, Bruneau A, Foucher F, Malécot V. Unveiling the Patterns of Reticulated Evolutionary Processes with Phylogenomics: Hybridization and Polyploidy in the genus Rosa. Syst Biol 2021; 71:547-569. [PMID: 34329460 DOI: 10.1093/sysbio/syab064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/23/2021] [Accepted: 06/30/2021] [Indexed: 11/13/2022] Open
Abstract
Reticulation, caused by hybridization and allopolyploidization, is considered an important and frequent phenomenon in the evolution of numerous plant lineages. Although both processes represent important driving forces of evolution, they are mostly ignored in phylogenetic studies involving a large number of species. Indeed only a scattering of methods exists to recover a comprehensive reticulated evolutionary history for a broad taxon sampling. Among these methods, comparisons of topologies obtained from plastid markers with those from a few nuclear sequences are favored, even though they restrict in-depth studies of hybridization and polyploidization. The genus Rosa encompasses c. 150 species widely distributed throughout the northern hemisphere and represents a challenging taxonomic group in which hybridization and polyploidization are prominent. Our main objective was to develop a general framework that would take patterns of reticulation into account in the study of the phylogenetic relationships among Rosa species. Using amplicon sequencing we targeted allele variation in the nuclear genome as well as haploid sequences in the chloroplast genome. We successfully recovered robust plastid and nuclear phylogenies and performed in-depth tests for several scenarios of hybridization using a maximum pseudo-likelihood approach on taxon subsets. Our diploid-first approach followed by hybrid and polyploid grafting resolved most of the evolutionary relationships among Rosa subgenera, sections, and selected species. Based on these results, we provide new directions for a future revision of the infrageneric classification in Rosa. The stepwise strategy proposed here can be used to reconstruct the phylogenetic relationships of other challenging taxonomic groups with large numbers of hybrid and polyploid taxa.
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Affiliation(s)
- Kevin Debray
- Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | | | - Aurélie Bérard
- Etude du Polymorphisme des Génomes Végétaux (EPGV), INRA, Université Paris-Saclay, 91000 Evry, France
| | - Tatiana Thouroude
- Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | - Gilles Michel
- Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | | | - Anne Bruneau
- Institut de recherche en biologie végétale and Département de Sciences biologiques, Université de Montréal, 4101 Sherbrooke Est, Montréal, QC, H1X 2B2, Canada
| | - Fabrice Foucher
- Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
| | - Valéry Malécot
- Institut Agro, Univ Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, France
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5
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Arca M, Mary-Huard T, Gouesnard B, Bérard A, Bauland C, Combes V, Madur D, Charcosset A, Nicolas SD. Deciphering the Genetic Diversity of Landraces With High-Throughput SNP Genotyping of DNA Bulks: Methodology and Application to the Maize 50k Array. Front Plant Sci 2021; 11:568699. [PMID: 33488638 PMCID: PMC7817617 DOI: 10.3389/fpls.2020.568699] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 11/12/2020] [Indexed: 05/13/2023]
Abstract
Genebanks harbor original landraces carrying many original favorable alleles for mitigating biotic and abiotic stresses. Their genetic diversity remains, however, poorly characterized due to their large within genetic diversity. We developed a high-throughput, cheap and labor saving DNA bulk approach based on single-nucleotide polymorphism (SNP) Illumina Infinium HD array to genotype landraces. Samples were gathered for each landrace by mixing equal weights from young leaves, from which DNA was extracted. We then estimated allelic frequencies in each DNA bulk based on fluorescent intensity ratio (FIR) between two alleles at each SNP using a two step-approach. We first tested either whether the DNA bulk was monomorphic or polymorphic according to the two FIR distributions of individuals homozygous for allele A or B, respectively. If the DNA bulk was polymorphic, we estimated its allelic frequency by using a predictive equation calibrated on FIR from DNA bulks with known allelic frequencies. Our approach: (i) gives accurate allelic frequency estimations that are highly reproducible across laboratories, (ii) protects against false detection of allele fixation within landraces. We estimated allelic frequencies of 23,412 SNPs in 156 landraces representing American and European maize diversity. Modified Roger's genetic Distance between 156 landraces estimated from 23,412 SNPs and 17 simple sequence repeats using the same DNA bulks were highly correlated, suggesting that the ascertainment bias is low. Our approach is affordable, easy to implement and does not require specific bioinformatics support and laboratory equipment, and therefore should be highly relevant for large-scale characterization of genebanks for a wide range of species.
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Affiliation(s)
- Mariangela Arca
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
| | - Tristan Mary-Huard
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
| | - Brigitte Gouesnard
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Aurélie Bérard
- Université Paris-Saclay, INRAE, Etude du Polymorphisme des Génomes Végétaux, Evry-Courcouronnes, France
| | - Cyril Bauland
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
| | - Valérie Combes
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
| | - Delphine Madur
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
| | - Alain Charcosset
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
| | - Stéphane D. Nicolas
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France
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Blary A, Gonzalo A, Eber F, Bérard A, Bergès H, Bessoltane N, Charif D, Charpentier C, Cromer L, Fourment J, Genevriez C, Le Paslier MC, Lodé M, Lucas MO, Nesi N, Lloyd A, Chèvre AM, Jenczewski E. Corrigendum: FANCM Limits Meiotic Crossovers in Brassica Crops. Front Plant Sci 2020; 11:604728. [PMID: 33343604 PMCID: PMC7747853 DOI: 10.3389/fpls.2020.604728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 10/27/2020] [Indexed: 06/12/2023]
Abstract
[This corrects the article DOI: 10.3389/fpls.2018.00368.].
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Affiliation(s)
- Aurélien Blary
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Adrián Gonzalo
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Frédérique Eber
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Aurélie Bérard
- EPGV US 1279, Institut National de la Recherche Agronomique, CEA-IG-CNG, Université Paris-Saclay, Evry, France
| | - Hélène Bergès
- Institut National de la Recherche Agronomique UPR 1258, Centre National des Ressources Génomiques Végétales, Castanet-Tolosan, France
| | - Nadia Bessoltane
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Delphine Charif
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Catherine Charpentier
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Laurence Cromer
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Joelle Fourment
- Institut National de la Recherche Agronomique UPR 1258, Centre National des Ressources Génomiques Végétales, Castanet-Tolosan, France
| | - Camille Genevriez
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Marie-Christine Le Paslier
- EPGV US 1279, Institut National de la Recherche Agronomique, CEA-IG-CNG, Université Paris-Saclay, Evry, France
| | - Maryse Lodé
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Marie-Odile Lucas
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Nathalie Nesi
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Andrew Lloyd
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Anne-Marie Chèvre
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Eric Jenczewski
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
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7
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Duchêne É, Dumas V, Butterlin G, Jaegli N, Rustenholz C, Chauveau A, Bérard A, Le Paslier MC, Gaillard I, Merdinoglu D. Genetic variations of acidity in grape berries are controlled by the interplay between organic acids and potassium. Theor Appl Genet 2020; 133:993-1008. [PMID: 31932953 DOI: 10.1007/s00122-019-03524-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 12/23/2019] [Indexed: 05/08/2023]
Abstract
In a grapevine segregating population, genomic regions governing berry pH were identified, paving the way for breeding new grapevine varieties best adapted to a warming climate. As a consequence of global warming, grapevine berry acidity is expected to dramatically decrease. Adapting grapevine (Vitis vinifera L.) varieties to the climatic conditions of the future requires a better understanding of the genetic architecture of acidity-related traits. For this purpose, we studied during five growing seasons 120 individuals from a grapevine biparental cross. Each offspring was genotyped by simple sequence repeats markers and by hybridization on a 20-K Grapevine Illumina® SNP chip. Quantitative trait loci (QTLs) for pH colocalized with QTLs for the ratio between potassium and tartaric acid concentrations, on chromosomes 10, 11 and 13. Strong QTLs for malic acid concentration or for the malic acid-to-tartaric acid ratio, on chromosomes 6 and 8, were not associated with variations of pH but can be useful for controlling pH stability under high temperatures. Our study highlights the interdependency between acidity parameters and consequently the constraints and degrees of freedom for designing grapevine genotypes better adapted to the expected warmer climatic conditions. In particular, it is possible to create grapevine genotypes with a high berry acidity as the result of both high tartaric acid concentrations and low K+ accumulation capacities.
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Affiliation(s)
- Éric Duchêne
- SVQV, Univ. Strasbourg, INRAE, 68000, Colmar, France.
| | - Vincent Dumas
- SVQV, Univ. Strasbourg, INRAE, 68000, Colmar, France
| | | | | | | | | | | | | | - Isabelle Gaillard
- BPMP, Univ. Montpellier, CNRS, INRAE, SupAgro, 34000, Montpellier, France
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Kreplak J, Madoui MA, Cápal P, Novák P, Labadie K, Aubert G, Bayer PE, Gali KK, Syme RA, Main D, Klein A, Bérard A, Vrbová I, Fournier C, d'Agata L, Belser C, Berrabah W, Toegelová H, Milec Z, Vrána J, Lee H, Kougbeadjo A, Térézol M, Huneau C, Turo CJ, Mohellibi N, Neumann P, Falque M, Gallardo K, McGee R, Tar'an B, Bendahmane A, Aury JM, Batley J, Le Paslier MC, Ellis N, Warkentin TD, Coyne CJ, Salse J, Edwards D, Lichtenzveig J, Macas J, Doležel J, Wincker P, Burstin J. A reference genome for pea provides insight into legume genome evolution. Nat Genet 2019; 51:1411-1422. [PMID: 31477930 DOI: 10.1038/s41588-019-0480-1] [Citation(s) in RCA: 230] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 07/10/2019] [Indexed: 02/03/2023]
Abstract
We report the first annotated chromosome-level reference genome assembly for pea, Gregor Mendel's original genetic model. Phylogenetics and paleogenomics show genomic rearrangements across legumes and suggest a major role for repetitive elements in pea genome evolution. Compared to other sequenced Leguminosae genomes, the pea genome shows intense gene dynamics, most likely associated with genome size expansion when the Fabeae diverged from its sister tribes. During Pisum evolution, translocation and transposition differentially occurred across lineages. This reference sequence will accelerate our understanding of the molecular basis of agronomically important traits and support crop improvement.
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Affiliation(s)
- Jonathan Kreplak
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Mohammed-Amin Madoui
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, Evry, France
| | - Petr Cápal
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Petr Novák
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Karine Labadie
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Grégoire Aubert
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Philipp E Bayer
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | - Krishna K Gali
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Robert A Syme
- Centre for Crop and Disease Management, Curtin University, Bentley, Western Australia, Australia
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA, USA
| | - Anthony Klein
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Aurélie Bérard
- Etude du Polymorphisme des Génomes Végétaux, INRA, Université Paris-Saclay, Evry, France
| | - Iva Vrbová
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Cyril Fournier
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Leo d'Agata
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Caroline Belser
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Wahiba Berrabah
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Helena Toegelová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Zbyněk Milec
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jan Vrána
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - HueyTyng Lee
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Ayité Kougbeadjo
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Morgane Térézol
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Cécile Huneau
- UMR 1095 Génétique, Diversité, Ecophysiologie des Céréales, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Chala J Turo
- Centre for Crop and Disease Management, School of Molecular and Life Science, Curtin University, Bentley, Western Australia, Australia
| | | | - Pavel Neumann
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Matthieu Falque
- GQE-Le Moulon, INRA, University of Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Karine Gallardo
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Rebecca McGee
- USDA Agricultural Research Service, Pullman, WA, USA
| | - Bunyamin Tar'an
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Abdelhafid Bendahmane
- Institute of Plant Sciences Paris-Saclay, INRA, CNRS, University of Paris-Sud, University of Evry, University Paris-Diderot, Sorbonne Paris-Cite, University of Paris-Saclay, Orsay, France
| | - Jean-Marc Aury
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jacqueline Batley
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | | | - Noel Ellis
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Thomas D Warkentin
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | | | - Jérome Salse
- UMR 1095 Génétique, Diversité, Ecophysiologie des Céréales, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | - Judith Lichtenzveig
- School of Agriculture and Environment, University of Western Australia, Perth, Western Australia, Australia
| | - Jiří Macas
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, Evry, France
| | - Judith Burstin
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.
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9
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Lallemand F, Logacheva M, Le Clainche I, Bérard A, Zheleznaia E, May M, Jakalski M, Delannoy É, Le Paslier MC, Selosse MA. Thirteen New Plastid Genomes from Mixotrophic and Autotrophic Species Provide Insights into Heterotrophy Evolution in Neottieae Orchids. Genome Biol Evol 2019; 11:2457-2467. [PMID: 31396616 PMCID: PMC6733356 DOI: 10.1093/gbe/evz170] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2019] [Indexed: 12/12/2022] Open
Abstract
Mixotrophic species use both organic and mineral carbon sources. Some mixotrophic plants combine photosynthesis and a nutrition called mycoheterotrophy, where carbon is obtained from fungi forming mycorrhizal symbiosis with their roots. These species can lose photosynthetic abilities and evolve full mycoheterotrophy. Besides morphological changes, the latter transition is associated with a deep alteration of the plastid genome. Photosynthesis-related genes are lost first, followed by housekeeping genes, eventually resulting in a highly reduced genome. Whether relaxation of selective constraints already occurs for the plastid genome of mixotrophic species, which remain photosynthetic, is unclear. This is partly due to the difficulty of comparing plastid genomes of autotrophic, mixotrophic, and mycoheterotrophic species in a narrow phylogenetic framework. We address this question in the orchid tribe Neottieae, where this large assortment of nutrition types occurs. We sequenced 13 new plastid genomes, including 9 mixotrophic species and covering all 6 Neottieae genera. We investigated selective pressure on plastid genes in each nutrition type and conducted a phylogenetic inference of the group. Surprisingly, photosynthesis-related genes did not experience selection relaxation in mixotrophic species compared with autotrophic relatives. Conversely, we observed evidence for selection intensification for some plastid genes. Photosynthesis is thus still under purifying selection, maybe because of its role in fruit formation and thus reproductive success. Phylogenetic analysis resolved most relationships, but short branches at the base of the tree suggest an evolutionary radiation at the beginning of Neottieae history, which, we hypothesize, may be linked to mixotrophy emergence.
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Affiliation(s)
- Félix Lallemand
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, Sorbonne Université, EPHE, Paris, France
| | - Maria Logacheva
- Laboratory of Plant Genomics, Institute for Information Transmission Problems, Moscow, Russia
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Isabelle Le Clainche
- Etude du Polymorphisme des Génomes Végétaux (EPGV), INRA, Université Paris-Saclay, Evry, France
| | - Aurélie Bérard
- Etude du Polymorphisme des Génomes Végétaux (EPGV), INRA, Université Paris-Saclay, Evry, France
| | - Ekaterina Zheleznaia
- Peoples’ Friendship University of Russia, Timiryazev State Biological Museum, Moscow, Russia
| | - Michał May
- Faculty of Biology, Department of Plant Taxonomy and Nature Conservation, University of Gdańsk, Poland
| | - Marcin Jakalski
- Faculty of Biology, Department of Plant Taxonomy and Nature Conservation, University of Gdańsk, Poland
| | - Étienne Delannoy
- Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRA, Université Paris-Sud, Orsay, France
- Université Evry, Université Paris-Saclay, Orsay, France
| | | | - Marc-André Selosse
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, Sorbonne Université, EPHE, Paris, France
- Faculty of Biology, Department of Plant Taxonomy and Nature Conservation, University of Gdańsk, Poland
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10
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Pégard M, Rogier O, Bérard A, Faivre-Rampant P, Paslier MCL, Bastien C, Jorge V, Sánchez L. Sequence imputation from low density single nucleotide polymorphism panel in a black poplar breeding population. BMC Genomics 2019; 20:302. [PMID: 30999856 PMCID: PMC6471894 DOI: 10.1186/s12864-019-5660-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 03/29/2019] [Indexed: 12/30/2022] Open
Abstract
Background Genomic selection accuracy increases with the use of high SNP (single nucleotide polymorphism) coverage. However, such gains in coverage come at high costs, preventing their prompt operational implementation by breeders. Low density panels imputed to higher densities offer a cheaper alternative during the first stages of genomic resources development. Our study is the first to explore the imputation in a tree species: black poplar. About 1000 pure-breed Populus nigra trees from a breeding population were selected and genotyped with a 12K custom Infinium Bead-Chip. Forty-three of those individuals corresponding to nodal trees in the pedigree were fully sequenced (reference), while the remaining majority (target) was imputed from 8K to 1.4 million SNPs using FImpute. Each SNP and individual was evaluated for imputation errors by leave-one-out cross validation in the training sample of 43 sequenced trees. Some summary statistics such as Hardy-Weinberg Equilibrium exact test p-value, quality of sequencing, depth of sequencing per site and per individual, minor allele frequency, marker density ratio or SNP information redundancy were calculated. Principal component and Boruta analyses were used on all these parameters to rank the factors affecting the quality of imputation. Additionally, we characterize the impact of the relatedness between reference population and target population. Results During the imputation process, we used 7540 SNPs from the chip to impute 1,438,827 SNPs from sequences. At the individual level, imputation accuracy was high with a proportion of SNPs correctly imputed between 0.84 and 0.99. The variation in accuracies was mostly due to differences in relatedness between individuals. At a SNP level, the imputation quality depended on genotyped SNP density and on the original minor allele frequency. The imputation did not appear to result in an increase of linkage disequilibrium. The genotype densification not only brought a better distribution of markers all along the genome, but also we did not detect any substantial bias in annotation categories. Conclusions This study shows that it is possible to impute low-density marker panels to whole genome sequence with good accuracy under certain conditions that could be common to many breeding populations. Electronic supplementary material The online version of this article (10.1186/s12864-019-5660-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marie Pégard
- BioForA, INRA, ONF, 45075, Orléans, France, 2163 Avenue de la Pomme de Pin CS 40001 ARDON, Orléans Cedex 2, 45075, France
| | - Odile Rogier
- BioForA, INRA, ONF, 45075, Orléans, France, 2163 Avenue de la Pomme de Pin CS 40001 ARDON, Orléans Cedex 2, 45075, France
| | - Aurélie Bérard
- Etude du Polymorphisme des Génomes Végétaux (EPGV), INRA, Université Paris-Saclay, 91000, 2 rue Gaston Crémieux, Evry, 9100, France
| | - Patricia Faivre-Rampant
- Etude du Polymorphisme des Génomes Végétaux (EPGV), INRA, Université Paris-Saclay, 91000, 2 rue Gaston Crémieux, Evry, 9100, France
| | - Marie-Christine Le Paslier
- Etude du Polymorphisme des Génomes Végétaux (EPGV), INRA, Université Paris-Saclay, 91000, 2 rue Gaston Crémieux, Evry, 9100, France
| | - Catherine Bastien
- BioForA, INRA, ONF, 45075, Orléans, France, 2163 Avenue de la Pomme de Pin CS 40001 ARDON, Orléans Cedex 2, 45075, France
| | - Véronique Jorge
- BioForA, INRA, ONF, 45075, Orléans, France, 2163 Avenue de la Pomme de Pin CS 40001 ARDON, Orléans Cedex 2, 45075, France
| | - Leopoldo Sánchez
- BioForA, INRA, ONF, 45075, Orléans, France, 2163 Avenue de la Pomme de Pin CS 40001 ARDON, Orléans Cedex 2, 45075, France.
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11
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Pecrix Y, Staton SE, Sallet E, Lelandais-Brière C, Moreau S, Carrère S, Blein T, Jardinaud MF, Latrasse D, Zouine M, Zahm M, Kreplak J, Mayjonade B, Satgé C, Perez M, Cauet S, Marande W, Chantry-Darmon C, Lopez-Roques C, Bouchez O, Bérard A, Debellé F, Muños S, Bendahmane A, Bergès H, Niebel A, Buitink J, Frugier F, Benhamed M, Crespi M, Gouzy J, Gamas P. Whole-genome landscape of Medicago truncatula symbiotic genes. Nat Plants 2018; 4:1017-1025. [PMID: 30397259 DOI: 10.1038/s41477-018-0286-7] [Citation(s) in RCA: 131] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 09/21/2018] [Indexed: 05/07/2023]
Abstract
Advances in deciphering the functional architecture of eukaryotic genomes have been facilitated by recent breakthroughs in sequencing technologies, enabling a more comprehensive representation of genes and repeat elements in genome sequence assemblies, as well as more sensitive and tissue-specific analyses of gene expression. Here we show that PacBio sequencing has led to a substantially improved genome assembly of Medicago truncatula A17, a legume model species notable for endosymbiosis studies1, and has enabled the identification of genome rearrangements between genotypes at a near-base-pair resolution. Annotation of the new M. truncatula genome sequence has allowed for a thorough analysis of transposable elements and their dynamics, as well as the identification of new players involved in symbiotic nodule development, in particular 1,037 upregulated long non-coding RNAs (lncRNAs). We have also discovered that a substantial proportion (~35% and 38%, respectively) of the genes upregulated in nodules or expressed in the nodule differentiation zone colocalize in genomic clusters (270 and 211, respectively), here termed symbiotic islands. These islands contain numerous expressed lncRNA genes and display differentially both DNA methylation and histone marks. Epigenetic regulations and lncRNAs are therefore attractive candidate elements for the orchestration of symbiotic gene expression in the M. truncatula genome.
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Affiliation(s)
- Yann Pecrix
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
| | | | - Erika Sallet
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
| | - Christine Lelandais-Brière
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | - Sandra Moreau
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
| | | | - Thomas Blein
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | | | - David Latrasse
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | - Mohamed Zouine
- GBF, Université de Toulouse, INPT, ENSAT, Castanet-Tolosan, France
| | - Margot Zahm
- GBF, Université de Toulouse, INPT, ENSAT, Castanet-Tolosan, France
| | | | | | - Carine Satgé
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
- CNRGV, INRA, Castanet-Tolosan, France
| | - Magali Perez
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | | | | | | | | | | | - Aurélie Bérard
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - Frédéric Debellé
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
| | - Stéphane Muños
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
| | - Abdelhafid Bendahmane
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | | | - Andreas Niebel
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France
| | - Julia Buitink
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, Beaucouzé, France
| | - Florian Frugier
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | - Moussa Benhamed
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | - Martin Crespi
- IPS2, CNRS, INRA, Universities of Paris Diderot and Sorbonne Paris Cité, Gif sur Yvette, France
- IPS2, CNRS, INRA, Universities of Paris Diderot, Paris Sud, Evry and Paris-Saclay, Gif sur Yvette, France
| | - Jérôme Gouzy
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.
| | - Pascal Gamas
- LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.
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12
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Hibrand Saint-Oyant L, Ruttink T, Hamama L, Kirov I, Lakhwani D, Zhou NN, Bourke PM, Daccord N, Leus L, Schulz D, Van de Geest H, Hesselink T, Van Laere K, Debray K, Balzergue S, Thouroude T, Chastellier A, Jeauffre J, Voisine L, Gaillard S, Borm TJA, Arens P, Voorrips RE, Maliepaard C, Neu E, Linde M, Le Paslier MC, Bérard A, Bounon R, Clotault J, Choisne N, Quesneville H, Kawamura K, Aubourg S, Sakr S, Smulders MJM, Schijlen E, Bucher E, Debener T, De Riek J, Foucher F. A high-quality genome sequence of Rosa chinensis to elucidate ornamental traits. Nat Plants 2018; 4:473-484. [PMID: 29892093 DOI: 10.1101/254102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 05/01/2018] [Indexed: 05/27/2023]
Abstract
Rose is the world's most important ornamental plant, with economic, cultural and symbolic value. Roses are cultivated worldwide and sold as garden roses, cut flowers and potted plants. Roses are outbred and can have various ploidy levels. Our objectives were to develop a high-quality reference genome sequence for the genus Rosa by sequencing a doubled haploid, combining long and short reads, and anchoring to a high-density genetic map, and to study the genome structure and genetic basis of major ornamental traits. We produced a doubled haploid rose line ('HapOB') from Rosa chinensis 'Old Blush' and generated a rose genome assembly anchored to seven pseudo-chromosomes (512 Mb with N50 of 3.4 Mb and 564 contigs). The length of 512 Mb represents 90.1-96.1% of the estimated haploid genome size of rose. Of the assembly, 95% is contained in only 196 contigs. The anchoring was validated using high-density diploid and tetraploid genetic maps. We delineated hallmark chromosomal features, including the pericentromeric regions, through annotation of transposable element families and positioned centromeric repeats using fluorescent in situ hybridization. The rose genome displays extensive synteny with the Fragaria vesca genome, and we delineated only two major rearrangements. Genetic diversity was analysed using resequencing data of seven diploid and one tetraploid Rosa species selected from various sections of the genus. Combining genetic and genomic approaches, we identified potential genetic regulators of key ornamental traits, including prickle density and the number of flower petals. A rose APETALA2/TOE homologue is proposed to be the major regulator of petal number in rose. This reference sequence is an important resource for studying polyploidization, meiosis and developmental processes, as we demonstrated for flower and prickle development. It will also accelerate breeding through the development of molecular markers linked to traits, the identification of the genes underlying them and the exploitation of synteny across Rosaceae.
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Affiliation(s)
- L Hibrand Saint-Oyant
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T Ruttink
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - L Hamama
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - I Kirov
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
- Russian State Agrarian University-Moscow Timiryazev Agricultural Academy, Moscow, Russia
| | - D Lakhwani
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - N N Zhou
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - P M Bourke
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - N Daccord
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - L Leus
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - D Schulz
- Leibniz Universität, Hannover, Germany
| | - H Van de Geest
- Wageningen University & Research, Business Unit Bioscience, Wageningen, The Netherlands
| | - T Hesselink
- Wageningen University & Research, Business Unit Bioscience, Wageningen, The Netherlands
| | - K Van Laere
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - K Debray
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - S Balzergue
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T Thouroude
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - A Chastellier
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - J Jeauffre
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - L Voisine
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - S Gaillard
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T J A Borm
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - P Arens
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - R E Voorrips
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - C Maliepaard
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - E Neu
- Leibniz Universität, Hannover, Germany
| | - M Linde
- Leibniz Universität, Hannover, Germany
| | - M C Le Paslier
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - A Bérard
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - R Bounon
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - J Clotault
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - N Choisne
- URGI, INRA, Université Paris-Saclay, Versailles, France
| | - H Quesneville
- URGI, INRA, Université Paris-Saclay, Versailles, France
| | - K Kawamura
- Osaka Institute of Technology, Osaka, Japan
| | - S Aubourg
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - S Sakr
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - M J M Smulders
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - E Schijlen
- Wageningen University & Research, Business Unit Bioscience, Wageningen, The Netherlands
| | - E Bucher
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T Debener
- Leibniz Universität, Hannover, Germany
| | - J De Riek
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - F Foucher
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France.
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13
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Hibrand Saint-Oyant L, Ruttink T, Hamama L, Kirov I, Lakhwani D, Zhou NN, Bourke PM, Daccord N, Leus L, Schulz D, Van de Geest H, Hesselink T, Van Laere K, Debray K, Balzergue S, Thouroude T, Chastellier A, Jeauffre J, Voisine L, Gaillard S, Borm TJA, Arens P, Voorrips RE, Maliepaard C, Neu E, Linde M, Le Paslier MC, Bérard A, Bounon R, Clotault J, Choisne N, Quesneville H, Kawamura K, Aubourg S, Sakr S, Smulders MJM, Schijlen E, Bucher E, Debener T, De Riek J, Foucher F. A high-quality genome sequence of Rosa chinensis to elucidate ornamental traits. Nat Plants 2018; 4:473-484. [PMID: 29892093 PMCID: PMC6786968 DOI: 10.1038/s41477-018-0166-1] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 05/01/2018] [Indexed: 05/18/2023]
Abstract
Rose is the world's most important ornamental plant, with economic, cultural and symbolic value. Roses are cultivated worldwide and sold as garden roses, cut flowers and potted plants. Roses are outbred and can have various ploidy levels. Our objectives were to develop a high-quality reference genome sequence for the genus Rosa by sequencing a doubled haploid, combining long and short reads, and anchoring to a high-density genetic map, and to study the genome structure and genetic basis of major ornamental traits. We produced a doubled haploid rose line ('HapOB') from Rosa chinensis 'Old Blush' and generated a rose genome assembly anchored to seven pseudo-chromosomes (512 Mb with N50 of 3.4 Mb and 564 contigs). The length of 512 Mb represents 90.1-96.1% of the estimated haploid genome size of rose. Of the assembly, 95% is contained in only 196 contigs. The anchoring was validated using high-density diploid and tetraploid genetic maps. We delineated hallmark chromosomal features, including the pericentromeric regions, through annotation of transposable element families and positioned centromeric repeats using fluorescent in situ hybridization. The rose genome displays extensive synteny with the Fragaria vesca genome, and we delineated only two major rearrangements. Genetic diversity was analysed using resequencing data of seven diploid and one tetraploid Rosa species selected from various sections of the genus. Combining genetic and genomic approaches, we identified potential genetic regulators of key ornamental traits, including prickle density and the number of flower petals. A rose APETALA2/TOE homologue is proposed to be the major regulator of petal number in rose. This reference sequence is an important resource for studying polyploidization, meiosis and developmental processes, as we demonstrated for flower and prickle development. It will also accelerate breeding through the development of molecular markers linked to traits, the identification of the genes underlying them and the exploitation of synteny across Rosaceae.
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Affiliation(s)
- L Hibrand Saint-Oyant
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T Ruttink
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - L Hamama
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - I Kirov
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
- Russian State Agrarian University-Moscow Timiryazev Agricultural Academy, Moscow, Russia
| | - D Lakhwani
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - N N Zhou
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - P M Bourke
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - N Daccord
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - L Leus
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - D Schulz
- Leibniz Universität, Hannover, Germany
| | - H Van de Geest
- Wageningen University & Research, Business Unit Bioscience, Wageningen, The Netherlands
| | - T Hesselink
- Wageningen University & Research, Business Unit Bioscience, Wageningen, The Netherlands
| | - K Van Laere
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - K Debray
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - S Balzergue
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T Thouroude
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - A Chastellier
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - J Jeauffre
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - L Voisine
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - S Gaillard
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T J A Borm
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - P Arens
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - R E Voorrips
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - C Maliepaard
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - E Neu
- Leibniz Universität, Hannover, Germany
| | - M Linde
- Leibniz Universität, Hannover, Germany
| | - M C Le Paslier
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - A Bérard
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - R Bounon
- INRA, US 1279 EPGV, Université Paris-Saclay, Evry, France
| | - J Clotault
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - N Choisne
- URGI, INRA, Université Paris-Saclay, Versailles, France
| | - H Quesneville
- URGI, INRA, Université Paris-Saclay, Versailles, France
| | - K Kawamura
- Osaka Institute of Technology, Osaka, Japan
| | - S Aubourg
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - S Sakr
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - M J M Smulders
- Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
| | - E Schijlen
- Wageningen University & Research, Business Unit Bioscience, Wageningen, The Netherlands
| | - E Bucher
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France
| | - T Debener
- Leibniz Universität, Hannover, Germany
| | - J De Riek
- ILVO, Flanders Research Institute for Agriculture, Fisheries and Food, Plant Sciences Unit, Melle, Belgium
| | - F Foucher
- IRHS, Agrocampus-Ouest, INRA, Université d'Angers, SFR 4207 QuaSaV, Beaucouzé, France.
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14
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Laucou V, Launay A, Bacilieri R, Lacombe T, Adam-Blondon AF, Bérard A, Chauveau A, de Andrés MT, Hausmann L, Ibáñez J, Le Paslier MC, Maghradze D, Martinez-Zapater JM, Maul E, Ponnaiah M, Töpfer R, Péros JP, Boursiquot JM. Extended diversity analysis of cultivated grapevine Vitis vinifera with 10K genome-wide SNPs. PLoS One 2018; 13:e0192540. [PMID: 29420602 PMCID: PMC5805323 DOI: 10.1371/journal.pone.0192540] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 01/25/2018] [Indexed: 12/18/2022] Open
Abstract
Grapevine is a very important crop species that is mainly cultivated worldwide for fruits, wine and juice. Identification of the genetic bases of performance traits through association mapping studies requires a precise knowledge of the available diversity and how this diversity is structured and varies across the whole genome. An 18k SNP genotyping array was evaluated on a panel of Vitis vinifera cultivars and we obtained a data set with no missing values for a total of 10207 SNPs and 783 different genotypes. The average inter-SNP spacing was ~47 kbp, the mean minor allele frequency (MAF) was 0.23 and the genetic diversity in the sample was high (He = 0.32). Fourteen SNPs, chosen from those with the highest MAF values, were sufficient to identify each genotype in the sample. Parentage analysis revealed 118 full parentages and 490 parent-offspring duos, thus confirming the close pedigree relationships within the cultivated grapevine. Structure analyses also confirmed the main divisions due to an eastern-western gradient and human usage (table vs. wine). Using a multivariate approach, we refined the structure and identified a total of eight clusters. Both the genetic diversity (He, 0.26-0.32) and linkage disequilibrium (LD, 28.8-58.2 kbp) varied between clusters. Despite the short span LD, we also identified some non-recombining haplotype blocks that may complicate association mapping. Finally, we performed a genome-wide association study that confirmed previous works and also identified new regions for important performance traits such as acidity. Taken together, all the results contribute to a better knowledge of the genetics of the cultivated grapevine.
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Affiliation(s)
- Valérie Laucou
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Amandine Launay
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Roberto Bacilieri
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Thierry Lacombe
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.,INRA Unité Expérimentale de Vassal, Centre de Ressources Biologiques de la Vigne, Marseillan-plage, France
| | | | - Aurélie Bérard
- EPGV, Univ Paris-Saclay, CEA, IG-CNG, INRA, Evry, France
| | | | | | - Ludger Hausmann
- JKI, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany
| | - Javier Ibáñez
- ICVV, CSIC, Universidad de La Rioja, Gobierno de la Rioja, Logroño, Spain
| | | | | | | | - Erika Maul
- JKI, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany
| | - Maharajah Ponnaiah
- EPGV, Univ Paris-Saclay, CEA, IG-CNG, INRA, Evry, France.,LBD, Univ UPMC, CNRS, INSERM, Paris, France
| | - Reinhard Töpfer
- JKI, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany
| | - Jean-Pierre Péros
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Jean-Michel Boursiquot
- AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.,INRA Unité Expérimentale de Vassal, Centre de Ressources Biologiques de la Vigne, Marseillan-plage, France
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15
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Darracq A, Vitte C, Nicolas S, Duarte J, Pichon JP, Mary-Huard T, Chevalier C, Bérard A, Le Paslier MC, Rogowsky P, Charcosset A, Joets J. Sequence analysis of European maize inbred line F2 provides new insights into molecular and chromosomal characteristics of presence/absence variants. BMC Genomics 2018; 19:119. [PMID: 29402214 PMCID: PMC5800051 DOI: 10.1186/s12864-018-4490-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 01/22/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Maize is well known for its exceptional structural diversity, including copy number variants (CNVs) and presence/absence variants (PAVs), and there is growing evidence for the role of structural variation in maize adaptation. While PAVs have been described in this important crop species, they have been only scarcely characterized at the sequence level and the extent of presence/absence variation and relative chromosomal landscape of inbred-specific regions remain to be elucidated. RESULTS De novo genome sequencing of the French F2 maize inbred line revealed 10,044 novel genomic regions larger than 1 kb, making up 88 Mb of DNA, that are present in F2 but not in B73 (PAV). This set of maize PAV sequences allowed us to annotate PAV content and to analyze sequence breakpoints. Using PAV genotyping on a collection of 25 temperate lines, we also analyzed Linkage Disequilibrium in PAVs and flanking regions, and PAV frequencies within maize genetic groups. CONCLUSIONS We highlight the possible role of MMEJ-type double strand break repair in maize PAV formation and discover 395 new genes with transcriptional support. Pattern of linkage disequilibrium within PAVs strikingly differs from this of flanking regions and is in accordance with the intuition that PAVs may recombine less than other genomic regions. We show that most PAVs are ancient, while some are found only in European Flint material, thus pinpointing structural features that may be at the origin of adaptive traits involved in the success of this material. Characterization of such PAVs will provide useful material for further association genetic studies in European and temperate maize.
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Affiliation(s)
- Aude Darracq
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Clémentine Vitte
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Stéphane Nicolas
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | | | | | - Tristan Mary-Huard
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
- MIA, INRA, AgroParisTech, Université Paris-Saclay, Paris, France
| | - Céline Chevalier
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Aurélie Bérard
- EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, Evry, France
| | | | - Peter Rogowsky
- Laboratoire Reproduction et Développement des Plantes, Univ Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, Lyon, France
| | - Alain Charcosset
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Johann Joets
- Genetique Quantitative et Evolution – Le Moulon, INRA, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
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16
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Blary A, Gonzalo A, Eber F, Bérard A, Bergès H, Bessoltane N, Charif D, Charpentier C, Cromer L, Fourment J, Genevriez C, Le Paslier MC, Lodé M, Lucas MO, Nesi N, Lloyd A, Chèvre AM, Jenczewski E. FANCM Limits Meiotic Crossovers in Brassica Crops. Front Plant Sci 2018; 9:368. [PMID: 29628933 PMCID: PMC5876677 DOI: 10.3389/fpls.2018.00368] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 03/06/2018] [Indexed: 05/18/2023]
Abstract
Meiotic crossovers (COs) are essential for proper chromosome segregation and the reshuffling of alleles during meiosis. In WT plants, the number of COs is usually small, which limits the genetic variation that can be captured by plant breeding programs. Part of this limitation is imposed by proteins like FANCM, the inactivation of which results in a 3-fold increase in COs in Arabidopsis thaliana. Whether the same holds true in crops needed to be established. In this study, we identified EMS induced mutations in FANCM in two species of economic relevance within the genus Brassica. We showed that CO frequencies were increased in fancm mutants in both diploid and tetraploid Brassicas, Brassica rapa and Brassica napus respectively. In B. rapa, we observed a 3-fold increase in the number of COs, equal to the increase observed previously in Arabidopsis. In B. napus we observed a lesser but consistent increase (1.3-fold) in both euploid (AACC) and allohaploid (AC) plants. Complementation tests in A. thaliana suggest that the smaller increase in crossover frequency observed in B. napus reflects residual activity of the mutant C copy of FANCM. Altogether our results indicate that the anti-CO activity of FANCM is conserved across the Brassica, opening new avenues to make a wider range of genetic diversity accessible to crop improvement.
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Affiliation(s)
- Aurélien Blary
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Adrián Gonzalo
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Frédérique Eber
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Aurélie Bérard
- EPGV US 1279, Institut National de la Recherche Agronomique, CEA-IG-CNG, Université Paris-Saclay, Evry, France
| | - Hélène Bergès
- Institut National de la Recherche Agronomique UPR 1258, Centre National des Ressources Génomiques Végétales, Castanet-Tolosan, France
| | - Nadia Bessoltane
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Delphine Charif
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Catherine Charpentier
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Laurence Cromer
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Joelle Fourment
- Institut National de la Recherche Agronomique UPR 1258, Centre National des Ressources Génomiques Végétales, Castanet-Tolosan, France
| | - Camille Genevriez
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Marie-Christine Le Paslier
- EPGV US 1279, Institut National de la Recherche Agronomique, CEA-IG-CNG, Université Paris-Saclay, Evry, France
| | - Maryse Lodé
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Marie-Odile Lucas
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Nathalie Nesi
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Andrew Lloyd
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
| | - Anne-Marie Chèvre
- IGEPP, Institut National de la Recherche Agronomique, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
| | - Eric Jenczewski
- Institut Jean-Pierre Bourgin, Institut National de la Recherche Agronomique, AgroParisTech, Centre National De La Recherche Scientifique, Université Paris-Saclay, Versailles, France
- *Correspondence: Eric Jenczewski
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17
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Canaguier A, Grimplet J, Di Gaspero G, Scalabrin S, Duchêne E, Choisne N, Mohellibi N, Guichard C, Rombauts S, Le Clainche I, Bérard A, Chauveau A, Bounon R, Rustenholz C, Morgante M, Le Paslier MC, Brunel D, Adam-Blondon AF. A new version of the grapevine reference genome assembly (12X.v2) and of its annotation (VCost.v3). Genom Data 2017; 14:56-62. [PMID: 28971018 PMCID: PMC5612791 DOI: 10.1016/j.gdata.2017.09.002] [Citation(s) in RCA: 138] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 09/13/2017] [Accepted: 09/15/2017] [Indexed: 11/21/2022]
Affiliation(s)
- A Canaguier
- UMR GV, INRA, UEVE, ERL CNRS, 2 rue Gaston Crémieux, 91000 Evry, France.,EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - J Grimplet
- Instituto de Ciencias de la Vid y del Vino (CSIC, Universidad de La Rioja, Gobierno de La Rioja), Logroño 26007, Spain
| | | | | | - E Duchêne
- SVQV, UMR 1131, INRA, Université de Strasbourg, 28 rue de Herrlisheim, 68000 Colmar, France
| | - N Choisne
- URGI, UR 1164, INRA, Université Paris-Saclay, route de Saint-Cyr, 78026 Versailles, France
| | - N Mohellibi
- URGI, UR 1164, INRA, Université Paris-Saclay, route de Saint-Cyr, 78026 Versailles, France
| | - C Guichard
- UMR GV, INRA, UEVE, ERL CNRS, 2 rue Gaston Crémieux, 91000 Evry, France.,IPS2, UMR 1403, INRA, Université Paris-Saclay, Rue de Noetzlin, bât. 630, 91190 Gif-sur-Yvette, France
| | - S Rombauts
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 927, 9052 Ghent, Belgium.,VIB Center for Plant Systems Biology, Technologiepark 927, 9052 Ghent, Belgium
| | - I Le Clainche
- UMR GV, INRA, UEVE, ERL CNRS, 2 rue Gaston Crémieux, 91000 Evry, France.,EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - A Bérard
- EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - A Chauveau
- EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - R Bounon
- UMR GV, INRA, UEVE, ERL CNRS, 2 rue Gaston Crémieux, 91000 Evry, France.,EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - C Rustenholz
- SVQV, UMR 1131, INRA, Université de Strasbourg, 28 rue de Herrlisheim, 68000 Colmar, France
| | - M Morgante
- IGA, via J. Linussio 51, 33100 Udine, Italy
| | - M-C Le Paslier
- EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - D Brunel
- EPGV US 1279, INRA, CEA, IG-CNG, Université Paris-Saclay, 91000 Evry, France
| | - A-F Adam-Blondon
- UMR GV, INRA, UEVE, ERL CNRS, 2 rue Gaston Crémieux, 91000 Evry, France.,URGI, UR 1164, INRA, Université Paris-Saclay, route de Saint-Cyr, 78026 Versailles, France
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18
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Garcia V, Bres C, Just D, Fernandez L, Tai FWJ, Mauxion JP, Le Paslier MC, Bérard A, Brunel D, Aoki K, Alseekh S, Fernie AR, Fraser PD, Rothan C. Rapid identification of causal mutations in tomato EMS populations via mapping-by-sequencing. Nat Protoc 2016; 11:2401-2418. [PMID: 27809315 DOI: 10.1038/nprot.2016.143] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The tomato is the model species of choice for fleshy fruit development and for the Solanaceae family. Ethyl methanesulfonate (EMS) mutants of tomato have already proven their utility for analysis of gene function in plants, leading to improved breeding stocks and superior tomato varieties. However, until recently, the identification of causal mutations that underlie particular phenotypes has been a very lengthy task that many laboratories could not afford because of spatial and technical limitations. Here, we describe a simple protocol for identifying causal mutations in tomato using a mapping-by-sequencing strategy. Plants displaying phenotypes of interest are first isolated by screening an EMS mutant collection generated in the miniature cultivar Micro-Tom. A recombinant F2 population is then produced by crossing the mutant with a wild-type (WT; non-mutagenized) genotype, and F2 segregants displaying the same phenotype are subsequently pooled. Finally, whole-genome sequencing and analysis of allele distributions in the pools allow for the identification of the causal mutation. The whole process, from the isolation of the tomato mutant to the identification of the causal mutation, takes 6-12 months. This strategy overcomes many previous limitations, is simple to use and can be applied in most laboratories with limited facilities for plant culture and genotyping.
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Affiliation(s)
- Virginie Garcia
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
| | - Cécile Bres
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
| | - Daniel Just
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
| | - Lucie Fernandez
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
| | - Fabienne Wong Jun Tai
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
| | - Jean-Philippe Mauxion
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
| | - Marie-Christine Le Paslier
- Institut National de la Recherche Agronomique US1279 Etude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique-CNG, Evry, France
| | - Aurélie Bérard
- Institut National de la Recherche Agronomique US1279 Etude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique-CNG, Evry, France
| | - Dominique Brunel
- Institut National de la Recherche Agronomique US1279 Etude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique-CNG, Evry, France
| | - Koh Aoki
- Graduate School of Life and Environmental Sciences, Osaka Prefecture University, Osaka, Japan
| | - Saleh Alseekh
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, Germany
| | - Alisdair R Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, Germany
| | - Paul D Fraser
- School of Biological Sciences, Royal Holloway University of London, Egham, UK
| | - Christophe Rothan
- Institut National de la Recherche Agronomique and Université de Bordeaux, Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Villenave d'Ornon, France
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19
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Nicolas SD, Péros JP, Lacombe T, Launay A, Le Paslier MC, Bérard A, Mangin B, Valière S, Martins F, Le Cunff L, Laucou V, Bacilieri R, Dereeper A, Chatelet P, This P, Doligez A. Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L) diversity panel newly designed for association studies. BMC Plant Biol 2016; 16:74. [PMID: 27005772 PMCID: PMC4802926 DOI: 10.1186/s12870-016-0754-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Accepted: 03/14/2016] [Indexed: 05/19/2023]
Abstract
BACKGROUND As for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed. In perennial species, breeding is a long process which can be speeded up by gaining knowledge about quantitative trait loci linked to agronomic traits variation. However, due to the long juvenile period of these species, establishing numerous highly recombinant populations for high resolution mapping is both costly and time-consuming. Genome wide association studies in germplasm panels is an alternative method of choice, since it allows identifying the main quantitative trait loci with high resolution by exploiting past recombination events between cultivars. Such studies require adequate panel design to represent most of the available genetic and phenotypic diversity. Assessing linkage disequilibrium extent and panel power is also needed to determine the marker density required for association studies. RESULTS Starting from the largest grapevine collection worldwide maintained in Vassal (France), we designed a diversity panel of 279 cultivars with limited relatedness, reflecting the low structuration in three genetic pools resulting from different uses (table vs wine) and geographical origin (East vs West), and including the major founders of modern cultivars. With 20 simple sequence repeat markers and five quantitative traits, we showed that our panel adequately captured most of the genetic and phenotypic diversity existing within the entire Vassal collection. To assess linkage disequilibrium extent and panel power, we genotyped single nucleotide polymorphisms: 372 over four genomic regions and 129 distributed over the whole genome. Linkage disequilibrium, measured by correlation corrected for kinship, reached 0.2 for a physical distance between 9 and 458 Kb depending on genetic pool and genomic region, with varying size of linkage disequilibrium blocks. This panel achieved reasonable power to detect associations between traits with high broad-sense heritability (> 0.7) and causal loci with intermediate allelic frequency and strong effect (explaining > 10 % of total variance). CONCLUSIONS Our association panel constitutes a new, highly valuable resource for genetic association studies in grapevine, and deserves dissemination to diverse field and greenhouse trials to gain more insight into the genetic control of many agronomic traits and their interaction with the environment.
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Affiliation(s)
- Stéphane D. Nicolas
- />INRA, UMR AGAP, F-34060 Montpellier, France
- />GQE-Le Moulon, INRA - Univ. Paris-Sud - CNRS - AgroParisTech - Université Paris-Saclay, Ferme du Moulon, F-91190 Gif-sur-Yvette, France
| | | | | | | | | | | | | | - Sophie Valière
- />INRA, Plateforme Génomique, F-31326 Castanet-Tolosan, France
| | - Frédéric Martins
- />INRA, Plateforme Génomique, F-31326 Castanet-Tolosan, France
- />INSERM, UMR1048, F-31432 Toulouse, France
| | | | | | | | - Alexis Dereeper
- />INRA, UMR AGAP, F-34060 Montpellier, France
- />IRD, UMR IPME, F-34394 Montpellier 5, France
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20
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Allwright MR, Payne A, Emiliani G, Milner S, Viger M, Rouse F, Keurentjes JJB, Bérard A, Wildhagen H, Faivre-Rampant P, Polle A, Morgante M, Taylor G. Biomass traits and candidate genes for bioenergy revealed through association genetics in coppiced European Populus nigra (L.). Biotechnol Biofuels 2016; 9:195. [PMID: 27617034 PMCID: PMC5017058 DOI: 10.1186/s13068-016-0603-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 08/22/2016] [Indexed: 05/18/2023]
Abstract
BACKGROUND Second generation (2G) bioenergy from lignocellulosic feedstocks has the potential to develop as a sustainable source of renewable energy; however, significant hurdles still remain for large-scale commercialisation. Populus is considered as a promising 2G feedstock and understanding the genetic basis of biomass yield and feedstock quality are a research priority in this model tree species. RESULTS We report the first coppiced biomass study for 714 members of a wide population of European black poplar (Populus nigra L.), a native European tree, selected from 20 river populations ranging in latitude and longitude between 40.5 and 52.1°N and 1.0 and 16.4°E, respectively. When grown at a single site in southern UK, significant Site of Origin (SO) effects were seen for 14 of the 15 directly measured or derived traits including biomass yield, leaf area and stomatal index. There was significant correlation (p < 0.001) between biomass yield traits over 3 years of harvest which identified leaf size and cell production as strong predictors of biomass yield. A 12 K Illumina genotyping array (constructed from 10,331 SNPs in 14 QTL regions and 4648 genes) highlighted significant population genetic structure with pairwise FST showing strong differentiation (p < 0.001) between the Spanish and Italian subpopulations. Robust associations reaching genome-wide significance are reported for main stem height and cell number per leaf; two traits tightly linked to biomass yield. These genotyping and phenotypic data were also used to show the presence of significant isolation by distance (IBD) and isolation by adaption (IBA) within this population. CONCLUSIONS The three associations identified reaching genome-wide significance at p < 0.05 include a transcription factor; a putative stress response gene and a gene of unknown function. None of them have been previously linked to bioenergy yield; were shown to be differentially expressed in a panel of three selected genotypes from the collection and represent exciting, novel candidates for further study in a bioenergy tree native to Europe and Euro-Asia. A further 26 markers (22 genes) were found to reach putative significance and are also of interest for biomass yield, leaf area, epidermal cell expansion and stomatal patterning. This research on European P. nigra provides an important foundation for the development of commercial native trees for bioenergy and for advanced, molecular breeding in these species.
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Affiliation(s)
- Mike Robert Allwright
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO17 1BJ UK
| | - Adrienne Payne
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO17 1BJ UK
| | - Giovanni Emiliani
- CNR-IVALSA, Sesto Fiorentino, via Madonna del Piano, 10, 50019 Sesto Fiorentino, FI Italy
| | - Suzanne Milner
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO17 1BJ UK
| | - Maud Viger
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO17 1BJ UK
| | - Franchesca Rouse
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO17 1BJ UK
| | - Joost J. B. Keurentjes
- Laboratory of Genetics, Wageningen University and Research, 6708PB Wageningen, The Netherlands
| | | | | | | | - Andrea Polle
- Georg-August-Universität Göttingen, 37077 Göttingen, Germany
| | - Michele Morgante
- Dipartimento di Scienze agroalimentari, ambientali e animali, Università di Udine, Via delle Scienze 206, 33100 Udine, Italy
- Istituto di Genomica Applicata (IGA), via J. Linussio 51, 33100 Udine, Italy
| | - Gail Taylor
- Centre for Biological Sciences, Life Sciences Building, University of Southampton, Southampton, SO17 1BJ UK
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21
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Tayeh N, Aluome C, Falque M, Jacquin F, Klein A, Chauveau A, Bérard A, Houtin H, Rond C, Kreplak J, Boucherot K, Martin C, Baranger A, Pilet-Nayel ML, Warkentin TD, Brunel D, Marget P, Le Paslier MC, Aubert G, Burstin J. Development of two major resources for pea genomics: the GenoPea 13.2K SNP Array and a high-density, high-resolution consensus genetic map. Plant J 2015; 84:1257-73. [PMID: 26590015 DOI: 10.1111/tpj.13070] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 09/28/2015] [Accepted: 10/30/2015] [Indexed: 05/19/2023]
Abstract
Single nucleotide polymorphism (SNP) arrays represent important genotyping tools for innovative strategies in both basic research and applied breeding. Pea is an important food, feed and sustainable crop with a large (about 4.45 Gbp) but not yet available genome sequence. In the present study, 12 pea recombinant inbred line populations were genotyped using the newly developed GenoPea 13.2K SNP Array. Individual and consensus genetic maps were built providing insights into the structure and organization of the pea genome. Largely collinear genetic maps of 3918-8503 SNPs were obtained from all mapping populations, and only two of these exhibited putative chromosomal rearrangement signatures. Similar distortion patterns in different populations were noted. A total of 12 802 transcript-derived SNP markers placed on a 15 079-marker high-density, high-resolution consensus map allowed the identification of ohnologue-rich regions within the pea genome and the localization of local duplicates. Dense syntenic networks with sequenced legume genomes were further established, paving the way for the identification of the molecular bases of important agronomic traits segregating in the mapping populations. The information gained on the structure and organization of the genome from this research will undoubtedly contribute to the understanding of the evolution of the pea genome and to its assembly. The GenoPea 13.2K SNP Array and individual and consensus genetic maps are valuable genomic tools for plant scientists to strengthen pea as a model for genetics and physiology and enhance breeding.
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Affiliation(s)
- Nadim Tayeh
- INRA, UMR1347 Agroécologie, F-21065, Dijon, France
| | - Christelle Aluome
- INRA, US1279 Étude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage, F- 91057, Evry, France
| | - Matthieu Falque
- INRA, UMR320/UMR8120 Génétique Quantitative et Évolution - Le Moulon, F-91190, Gif-sur-Yvette, France
| | | | | | - Aurélie Chauveau
- INRA, US1279 Étude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage, F- 91057, Evry, France
| | - Aurélie Bérard
- INRA, US1279 Étude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage, F- 91057, Evry, France
| | - Hervé Houtin
- INRA, UMR1347 Agroécologie, F-21065, Dijon, France
| | - Céline Rond
- INRA, UMR1347 Agroécologie, F-21065, Dijon, France
| | | | | | | | - Alain Baranger
- INRA, UMR1349 Institut de Génétique Environnement et Protection des Plantes, F-35653, Le Rheu, France
| | - Marie-Laure Pilet-Nayel
- INRA, UMR1349 Institut de Génétique Environnement et Protection des Plantes, F-35653, Le Rheu, France
| | - Thomas D Warkentin
- Crop Development Centre, University of Saskatchewan, SK S7N 5A8, Saskatoon, Canada
| | - Dominique Brunel
- INRA, US1279 Étude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage, F- 91057, Evry, France
| | | | - Marie-Christine Le Paslier
- INRA, US1279 Étude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage, F- 91057, Evry, France
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22
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Chalhoub B, Denoeud F, Liu S, Parkin IAP, Tang H, Wang X, Chiquet J, Belcram H, Tong C, Samans B, Corréa M, Da Silva C, Just J, Falentin C, Koh CS, Le Clainche I, Bernard M, Bento P, Noel B, Labadie K, Alberti A, Charles M, Arnaud D, Guo H, Daviaud C, Alamery S, Jabbari K, Zhao M, Edger PP, Chelaifa H, Tack D, Lassalle G, Mestiri I, Schnel N, Le Paslier MC, Fan G, Renault V, Bayer PE, Golicz AA, Manoli S, Lee TH, Thi VHD, Chalabi S, Hu Q, Fan C, Tollenaere R, Lu Y, Battail C, Shen J, Sidebottom CHD, Wang X, Canaguier A, Chauveau A, Bérard A, Deniot G, Guan M, Liu Z, Sun F, Lim YP, Lyons E, Town CD, Bancroft I, Wang X, Meng J, Ma J, Pires JC, King GJ, Brunel D, Delourme R, Renard M, Aury JM, Adams KL, Batley J, Snowdon RJ, Tost J, Edwards D, Zhou Y, Hua W, Sharpe AG, Paterson AH, Guan C, Wincker P. Plant genetics. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 2014. [PMID: 25146293 DOI: 10.1126/science.125343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Oilseed rape (Brassica napus L.) was formed ~7500 years ago by hybridization between B. rapa and B. oleracea, followed by chromosome doubling, a process known as allopolyploidy. Together with more ancient polyploidizations, this conferred an aggregate 72× genome multiplication since the origin of angiosperms and high gene content. We examined the B. napus genome and the consequences of its recent duplication. The constituent An and Cn subgenomes are engaged in subtle structural, functional, and epigenetic cross-talk, with abundant homeologous exchanges. Incipient gene loss and expression divergence have begun. Selection in B. napus oilseed types has accelerated the loss of glucosinolate genes, while preserving expansion of oil biosynthesis genes. These processes provide insights into allopolyploid evolution and its relationship with crop domestication and improvement.
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Affiliation(s)
- Boulos Chalhoub
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France.
| | - France Denoeud
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France. Université d'Evry Val d'Essone, UMR 8030, CP5706, Evry, France. Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France
| | - Shengyi Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Isobel A P Parkin
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK S7N 0X2, Canada.
| | - Haibao Tang
- J. Craig Venter Institute, Rockville, MD 20850, USA. Center for Genomics and Biotechnology, Fujian Agriculture and Forestry, University, Fuzhou 350002, Fujian Province, China
| | - Xiyin Wang
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA. Center of Genomics and Computational Biology, School of Life Sciences, Hebei United University, Tangshan, Hebei 063000, China
| | - Julien Chiquet
- Laboratoire de Mathématiques et Modélisation d'Evry-UMR 8071 CNRS/Université d'Evry val d'Essonne-USC INRA, Evry, France
| | - Harry Belcram
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Chaobo Tong
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Birgit Samans
- Department of Plant Breeding, Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Margot Corréa
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Corinne Da Silva
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Jérémy Just
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Cyril Falentin
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Chu Shin Koh
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Isabelle Le Clainche
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Maria Bernard
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Pascal Bento
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Benjamin Noel
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Karine Labadie
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Adriana Alberti
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Mathieu Charles
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Dominique Arnaud
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Hui Guo
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Christian Daviaud
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91000 Evry, France
| | - Salman Alamery
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Kamel Jabbari
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France. Cologne Center for Genomics, University of Cologne, Weyertal 115b, 50931 Köln, Germany
| | - Meixia Zhao
- Department of Agronomy, Purdue University, WSLR Building B018, West Lafayette, IN 47907, USA
| | - Patrick P Edger
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - Houda Chelaifa
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - David Tack
- Department of Botany, University of British Columbia, Vancouver, BC, Canada
| | - Gilles Lassalle
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Imen Mestiri
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Nicolas Schnel
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Marie-Christine Le Paslier
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Guangyi Fan
- Beijing Genome Institute-Shenzhen, Shenzhen 518083, China
| | - Victor Renault
- Fondation Jean Dausset-Centre d'Étude du Polymorphisme Humain, 27 rue Juliette Dodu, 75010 Paris, France
| | - Philippe E Bayer
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Agnieszka A Golicz
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Sahana Manoli
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Tae-Ho Lee
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Vinh Ha Dinh Thi
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Smahane Chalabi
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Qiong Hu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Chuchuan Fan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Reece Tollenaere
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Yunhai Lu
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Christophe Battail
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Jinxiong Shen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | | | - Xinfa Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Aurélie Canaguier
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Aurélie Chauveau
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Aurélie Bérard
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Gwenaëlle Deniot
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Mei Guan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Zhongsong Liu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Fengming Sun
- Beijing Genome Institute-Shenzhen, Shenzhen 518083, China
| | - Yong Pyo Lim
- Molecular Genetics and Genomics Laboratory, Department of Horticulture, Chungnam National University, Daejeon-305764, South Korea
| | - Eric Lyons
- School of Plant Sciences, iPlant Collaborative, University of Arizona, Tucson, AZ, USA
| | | | - Ian Bancroft
- Department of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK
| | - Xiaowu Wang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinling Meng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianxin Ma
- Department of Agronomy, Purdue University, WSLR Building B018, West Lafayette, IN 47907, USA
| | - J Chris Pires
- Division of Biological Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Graham J King
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW 2480, Australia
| | - Dominique Brunel
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Régine Delourme
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Michel Renard
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Keith L Adams
- Department of Botany, University of British Columbia, Vancouver, BC, Canada
| | - Jacqueline Batley
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia. School of Plant Biology, University of Western Australia, WA 6009, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Jorg Tost
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91000 Evry, France
| | - David Edwards
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia. School of Plant Biology, University of Western Australia, WA 6009, Australia.
| | - Yongming Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Wei Hua
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
| | - Andrew G Sharpe
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada.
| | - Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
| | - Chunyun Guan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China.
| | - Patrick Wincker
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France. Université d'Evry Val d'Essone, UMR 8030, CP5706, Evry, France. Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France.
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Chalhoub B, Denoeud F, Liu S, Parkin IAP, Tang H, Wang X, Chiquet J, Belcram H, Tong C, Samans B, Corréa M, Da Silva C, Just J, Falentin C, Koh CS, Le Clainche I, Bernard M, Bento P, Noel B, Labadie K, Alberti A, Charles M, Arnaud D, Guo H, Daviaud C, Alamery S, Jabbari K, Zhao M, Edger PP, Chelaifa H, Tack D, Lassalle G, Mestiri I, Schnel N, Le Paslier MC, Fan G, Renault V, Bayer PE, Golicz AA, Manoli S, Lee TH, Thi VHD, Chalabi S, Hu Q, Fan C, Tollenaere R, Lu Y, Battail C, Shen J, Sidebottom CHD, Wang X, Canaguier A, Chauveau A, Bérard A, Deniot G, Guan M, Liu Z, Sun F, Lim YP, Lyons E, Town CD, Bancroft I, Wang X, Meng J, Ma J, Pires JC, King GJ, Brunel D, Delourme R, Renard M, Aury JM, Adams KL, Batley J, Snowdon RJ, Tost J, Edwards D, Zhou Y, Hua W, Sharpe AG, Paterson AH, Guan C, Wincker P. Plant genetics. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 2014; 345:950-3. [PMID: 25146293 DOI: 10.1126/science.1253435] [Citation(s) in RCA: 1362] [Impact Index Per Article: 136.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Oilseed rape (Brassica napus L.) was formed ~7500 years ago by hybridization between B. rapa and B. oleracea, followed by chromosome doubling, a process known as allopolyploidy. Together with more ancient polyploidizations, this conferred an aggregate 72× genome multiplication since the origin of angiosperms and high gene content. We examined the B. napus genome and the consequences of its recent duplication. The constituent An and Cn subgenomes are engaged in subtle structural, functional, and epigenetic cross-talk, with abundant homeologous exchanges. Incipient gene loss and expression divergence have begun. Selection in B. napus oilseed types has accelerated the loss of glucosinolate genes, while preserving expansion of oil biosynthesis genes. These processes provide insights into allopolyploid evolution and its relationship with crop domestication and improvement.
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Affiliation(s)
- Boulos Chalhoub
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France.
| | - France Denoeud
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France. Université d'Evry Val d'Essone, UMR 8030, CP5706, Evry, France. Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France
| | - Shengyi Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Isobel A P Parkin
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK S7N 0X2, Canada.
| | - Haibao Tang
- J. Craig Venter Institute, Rockville, MD 20850, USA. Center for Genomics and Biotechnology, Fujian Agriculture and Forestry, University, Fuzhou 350002, Fujian Province, China
| | - Xiyin Wang
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA. Center of Genomics and Computational Biology, School of Life Sciences, Hebei United University, Tangshan, Hebei 063000, China
| | - Julien Chiquet
- Laboratoire de Mathématiques et Modélisation d'Evry-UMR 8071 CNRS/Université d'Evry val d'Essonne-USC INRA, Evry, France
| | - Harry Belcram
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Chaobo Tong
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Birgit Samans
- Department of Plant Breeding, Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Margot Corréa
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Corinne Da Silva
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Jérémy Just
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Cyril Falentin
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Chu Shin Koh
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada
| | - Isabelle Le Clainche
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Maria Bernard
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Pascal Bento
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Benjamin Noel
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Karine Labadie
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Adriana Alberti
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Mathieu Charles
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Dominique Arnaud
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Hui Guo
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Christian Daviaud
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91000 Evry, France
| | - Salman Alamery
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Kamel Jabbari
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France. Cologne Center for Genomics, University of Cologne, Weyertal 115b, 50931 Köln, Germany
| | - Meixia Zhao
- Department of Agronomy, Purdue University, WSLR Building B018, West Lafayette, IN 47907, USA
| | - Patrick P Edger
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - Houda Chelaifa
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - David Tack
- Department of Botany, University of British Columbia, Vancouver, BC, Canada
| | - Gilles Lassalle
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Imen Mestiri
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Nicolas Schnel
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Marie-Christine Le Paslier
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Guangyi Fan
- Beijing Genome Institute-Shenzhen, Shenzhen 518083, China
| | - Victor Renault
- Fondation Jean Dausset-Centre d'Étude du Polymorphisme Humain, 27 rue Juliette Dodu, 75010 Paris, France
| | - Philippe E Bayer
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Agnieszka A Golicz
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Sahana Manoli
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Tae-Ho Lee
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA
| | - Vinh Ha Dinh Thi
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Smahane Chalabi
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Qiong Hu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Chuchuan Fan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Reece Tollenaere
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Yunhai Lu
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Christophe Battail
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Jinxiong Shen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | | | - Xinfa Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Aurélie Canaguier
- Institut National de Recherche Agronomique (INRA)/Université d'Evry Val d'Essone, Unité de Recherche en Génomique Végétale, UMR1165, Organization and Evolution of Plant Genomes, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Aurélie Chauveau
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Aurélie Bérard
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Gwenaëlle Deniot
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Mei Guan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Zhongsong Liu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Fengming Sun
- Beijing Genome Institute-Shenzhen, Shenzhen 518083, China
| | - Yong Pyo Lim
- Molecular Genetics and Genomics Laboratory, Department of Horticulture, Chungnam National University, Daejeon-305764, South Korea
| | - Eric Lyons
- School of Plant Sciences, iPlant Collaborative, University of Arizona, Tucson, AZ, USA
| | | | - Ian Bancroft
- Department of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK
| | - Xiaowu Wang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinling Meng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianxin Ma
- Department of Agronomy, Purdue University, WSLR Building B018, West Lafayette, IN 47907, USA
| | - J Chris Pires
- Division of Biological Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Graham J King
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW 2480, Australia
| | - Dominique Brunel
- INRA, Etude du Polymorphisme des Génomes Végétaux, US1279, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91057 Evry, France
| | - Régine Delourme
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Michel Renard
- INRA, Institut de Génétique, Environnement et Protection des Plantes (IGEPP) UMR1349, BP35327, 35653 Le Rheu Cedex, France
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Keith L Adams
- Department of Botany, University of British Columbia, Vancouver, BC, Canada
| | - Jacqueline Batley
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia. School of Plant Biology, University of Western Australia, WA 6009, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany
| | - Jorg Tost
- Laboratory for Epigenetics and Environment, Centre National de Génotypage, CEA-IG, 2 rue Gaston Crémieux, 91000 Evry, France
| | - David Edwards
- Australian Centre for Plant Functional Genomics, School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia. School of Plant Biology, University of Western Australia, WA 6009, Australia.
| | - Yongming Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Wei Hua
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
| | - Andrew G Sharpe
- National Research Council Canada, 110 Gymnasium Place, Saskatoon, SK S7N 0W9, Canada.
| | - Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
| | - Chunyun Guan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China.
| | - Patrick Wincker
- Commissariat à l'Energie Atomique (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France. Université d'Evry Val d'Essone, UMR 8030, CP5706, Evry, France. Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, Evry, France.
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Quillet E, Krieg F, Dechamp N, Hervet C, Bérard A, Le Roy P, Guyomard R, Prunet P, Pottinger TG. Quantitative trait loci for magnitude of the plasma cortisol response to confinement in rainbow trout. Anim Genet 2014; 45:223-34. [PMID: 24444135 DOI: 10.1111/age.12126] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/27/2013] [Indexed: 11/29/2022]
Abstract
Better understanding of the mechanisms underlying interindividual variation in stress responses and their links with production traits is a key issue for sustainable animal breeding. In this study, we searched for quantitative trait loci (QTL) controlling the magnitude of the plasma cortisol stress response and compared them to body size traits in five F2 full-sib families issued from two rainbow trout lines divergently selected for high or low post-confinement plasma cortisol level. Approximately 1000 F2 individuals were individually tagged and exposed to two successive acute confinement challenges (1 month interval). Post-stress plasma cortisol concentrations were determined for each fish. A medium density genome scan was carried out (268 markers, overall marker spacing less than 10 cM). QTL detection was performed using qtlmap software, based on an interval mapping method (http://www.inra.fr/qtlmap). Overall, QTL of medium individual effects on cortisol responsiveness (<10% of phenotypic variance) were detected on 18 chromosomes, strongly supporting the hypothesis that control of the trait is polygenic. Although a core array of QTL controlled cortisol concentrations at both challenges, several QTL seemed challenge specific, suggesting that responses to the first and to a subsequent exposure to the confinement stressor are distinct traits sharing only part of their genetic control. Chromosomal location of the steroidogenic acute regulatory protein (STAR) makes it a good potential candidate gene for one of the QTL. Finally, comparison of body size traits QTL (weight, length and body conformation) with cortisol-associated QTL did not support evidence for negative genetic relationships between the two types of traits.
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Affiliation(s)
- E Quillet
- INRA, UMR 1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France
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25
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Causse M, Desplat N, Pascual L, Le Paslier MC, Sauvage C, Bauchet G, Bérard A, Bounon R, Tchoumakov M, Brunel D, Bouchet JP. Whole genome resequencing in tomato reveals variation associated with introgression and breeding events. BMC Genomics 2013; 14:791. [PMID: 24228636 PMCID: PMC4046683 DOI: 10.1186/1471-2164-14-791] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2013] [Accepted: 11/07/2013] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND One of the goals of genomics is to identify the genetic loci responsible for variation in phenotypic traits. The completion of the tomato genome sequence and recent advances in DNA sequencing technology allow for in-depth characterization of genetic variation present in the tomato genome. Like many self-pollinated crops, cultivated tomato accessions show a low molecular but high phenotypic diversity. Here we describe the whole-genome resequencing of eight accessions (four cherry-type and four large fruited lines) chosen to represent a large range of intra-specific variability and the identification and annotation of novel polymorphisms. RESULTS The eight genomes were sequenced using the GAII Illumina platform. Comparison of the sequences with the reference genome yielded more than 4 million single nucleotide polymorphisms (SNPs). This number varied from 80,000 to 1.5 million according to the accessions. Almost 128,000 InDels were detected. The distribution of SNPs and InDels across and within chromosomes was highly heterogeneous revealing introgressions from wild species and the mosaic structure of the genomes of the cherry tomato accessions. In-depth annotation of the polymorphisms identified more than 16,000 unique non-synonymous SNPs. In addition 1,686 putative copy-number variations (CNVs) were identified. CONCLUSIONS This study represents the first whole genome resequencing experiment in cultivated tomato. Substantial genetic differences exist between the sequenced tomato accessions and the reference sequence. The heterogeneous distribution of the polymorphisms may be related to introgressions that occurred during domestication or breeding. The annotated SNPs, InDels and CNVs identified in this resequencing study will serve as useful genetic tools, and as candidate polymorphisms in the search for phenotype-altering DNA variations.
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Affiliation(s)
- Mathilde Causse
- INRA, UR1052, Génétique et Amélioration des Fruits et Légumes, BP94, Montfavet F-84143, France.
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Gillet D, Bérard A, Faivre O, Sarrazy B. Measuring the international spreading of the knowledge produced by French dental master theses. Eur J Dent Educ 2013; 17:26-29. [PMID: 23279389 DOI: 10.1111/eje.12003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/21/2012] [Indexed: 06/01/2023]
Abstract
We estimated the international spreading of the knowledge produced by French dental master theses by searching for corresponding publications, either as articles in Medline-indexed journals or abstracts of IADR meetings published in the Journal of Dental Research. From the 634 theses defended in 2010 in the 16 French odontology faculties, we found only one article, in a journal without impact factor, and six abstracts, over a 3-year period (2009-2011). This corresponds to a spreading rate of 0.6%. The participation rate of French odontology faculties at IADR meetings varies from 37.5% to 81.3% depending on the year. Although there are very few studies available on the matter, it appears that this international spreading rate is much lower than both the one found by Nieminen for odontology in Finland (8.2%) and typical spreading rates of medical theses (from 6% to 41% depending on the country). This great discrepancy could be explained by the lack of specific training provided to the students; the low awareness and little engagement of the students themselves, usually more concerned with their own private practice work; and the inadequate involvement of their supervisors. To tackle the lack of appropriate training, we suggest that a specific course on scientific writing should be offered to the students in the last year of their dental master studies.
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Affiliation(s)
- D Gillet
- Centre Hospitalo-Universitaire Bordeaux, France.
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27
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Chaouachi M, Alaya A, Ali IBH, Hafsa AB, Nabi N, Bérard A, Romaniuk M, Skhiri F, Saïd K. Development of real-time PCR method for the detection and the quantification of a new endogenous reference gene in sugar beet "Beta vulgaris L.": GMO application. Plant Cell Rep 2013; 32:117-128. [PMID: 23052591 DOI: 10.1007/s00299-012-1346-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2012] [Revised: 09/08/2012] [Accepted: 09/11/2012] [Indexed: 06/01/2023]
Abstract
KEY MESSAGE : Here, we describe a new developed quantitative real-time PCR method for the detection and quantification of a new specific endogenous reference gene used in GMO analysis. The key requirement of this study was the identification of a new reference gene used for the differentiation of the four genomic sections of the sugar beet (Beta vulgaris L.) (Beta, Corrollinae, Nanae and Procumbentes) suitable for quantification of genetically modified sugar beet. A specific qualitative polymerase chain reaction (PCR) assay was designed to detect the sugar beet amplifying a region of the adenylate transporter (ant) gene only from the species of the genomic section I of the genus Beta (cultivated and wild relatives) and showing negative PCR results for 7 species of the 3 other sections, 8 related species and 20 non-sugar beet plants. The sensitivity of the assay was 15 haploid genome copies (HGC). A quantitative real-time polymerase chain reaction (QRT-PCR) assay was also performed, having high linearity (R (2) > 0.994) over sugar beet standard concentrations ranging from 20,000 to 10 HGC of the sugar beet DNA per PCR. The QRT-PCR assay described in this study was specific and more sensitive for sugar beet quantification compared to the validated test previously reported in the European Reference Laboratory. This assay is suitable for GMO quantification in routine analysis from a wide variety of matrices.
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Affiliation(s)
- Maher Chaouachi
- Laboratoire de Génétique, Biodiversité et Valorisation des Bioressources, Institut Supérieur de Biotechnologie de Monastir (ISBM), Université de Monastir, Avenue Tahar Haddad 5000, BP74, Monastir, Tunisia.
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Ollitrault P, Terol J, Chen C, Federici CT, Lotfy S, Hippolyte I, Ollitrault F, Bérard A, Chauveau A, Cuenca J, Costantino G, Kacar Y, Mu L, Garcia-Lor A, Froelicher Y, Aleza P, Boland A, Billot C, Navarro L, Luro F, Roose ML, Gmitter FG, Talon M, Brunel D. A reference genetic map of C. clementina hort. ex Tan.; citrus evolution inferences from comparative mapping. BMC Genomics 2012; 13:593. [PMID: 23126659 PMCID: PMC3546309 DOI: 10.1186/1471-2164-13-593] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2012] [Accepted: 10/29/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Most modern citrus cultivars have an interspecific origin. As a foundational step towards deciphering the interspecific genome structures, a reference whole genome sequence was produced by the International Citrus Genome Consortium from a haploid derived from Clementine mandarin. The availability of a saturated genetic map of Clementine was identified as an essential prerequisite to assist the whole genome sequence assembly. Clementine is believed to be a 'Mediterranean' mandarin × sweet orange hybrid, and sweet orange likely arose from interspecific hybridizations between mandarin and pummelo gene pools. The primary goals of the present study were to establish a Clementine reference map using codominant markers, and to perform comparative mapping of pummelo, sweet orange, and Clementine. RESULTS Five parental genetic maps were established from three segregating populations, which were genotyped with Single Nucleotide Polymorphism (SNP), Simple Sequence Repeats (SSR) and Insertion-Deletion (Indel) markers. An initial medium density reference map (961 markers for 1084.1 cM) of the Clementine was established by combining male and female Clementine segregation data. This Clementine map was compared with two pummelo maps and a sweet orange map. The linear order of markers was highly conserved in the different species. However, significant differences in map size were observed, which suggests a variation in the recombination rates. Skewed segregations were much higher in the male than female Clementine mapping data. The mapping data confirmed that Clementine arose from hybridization between 'Mediterranean' mandarin and sweet orange. The results identified nine recombination break points for the sweet orange gamete that contributed to the Clementine genome. CONCLUSIONS A reference genetic map of citrus, used to facilitate the chromosome assembly of the first citrus reference genome sequence, was established. The high conservation of marker order observed at the interspecific level should allow reasonable inferences of most citrus genome sequences by mapping next-generation sequencing (NGS) data in the reference genome sequence. The genome of the haploid Clementine used to establish the citrus reference genome sequence appears to have been inherited primarily from the 'Mediterranean' mandarin. The high frequency of skewed allelic segregations in the male Clementine data underline the probable extent of deviation from Mendelian segregation for characters controlled by heterozygous loci in male parents.
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Sheehy O, Gendron MP, Martin B, Bérard A. Do drug warnings and market withdrawals have an impact on the number of calls to teratogen information services? Pharmacopsychiatry 2012; 45:146-51. [PMID: 22290204 DOI: 10.1055/s-0031-1297974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
BACKGROUND IMAGe provides information on risks and benefits of medication use during pregnancy and lactation. OBJECTIVE The aim of this study was to determine the impact of Health Canada warnings on the number of calls received at IMAGe. METHODS We analyzed calls received between January 2003 and March 2008. The impact of the following warning/withdrawal were studied: paroxetine and risk of cardiac malformations (09/29/2005), selective serotonin reuptake inhibitors (SSRIs) and risk of persistent pulmonary hypertension of the newborn (PPHN) (03/10/2006), and impact of rofecoxib market withdrawal (09/30/2004). Interrupted auto-regressive integrated -moving average (ARIMA) analyses were used to test the impact of each warning on the number of calls received to IMAGe. RESULTS 61,505 calls were analyzed. The paroxetine warning had a temporary impact increasing the overall number of calls to IMAGe, and an abrupt permanent effect on the number of calls related to antidepressant exposures. The PPHN warning had no impact but we observed a significant increase in the number of calls following rofecoxib market withdrawal. CONCLUSION Health Canada needs to consider the increase in the demand of information to IMAGe following warnings on the risk of medication use during pregnancy.
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Affiliation(s)
- O Sheehy
- Research Center, CHU Sainte-Justine, Montreal, Quebec, Canada
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Ollitrault P, Terol J, Garcia-Lor A, Bérard A, Chauveau A, Froelicher Y, Belzile C, Morillon R, Navarro L, Brunel D, Talon M. SNP mining in C. clementina BAC end sequences; transferability in the Citrus genus (Rutaceae), phylogenetic inferences and perspectives for genetic mapping. BMC Genomics 2012; 13:13. [PMID: 22233093 PMCID: PMC3320530 DOI: 10.1186/1471-2164-13-13] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Accepted: 01/10/2012] [Indexed: 01/18/2024] Open
Abstract
Background With the increasing availability of EST databases and whole genome sequences, SNPs have become the most abundant and powerful polymorphic markers. However, SNP chip data generally suffers from ascertainment biases caused by the SNP discovery and selection process in which a small number of individuals are used as discovery panels. The ongoing International Citrus Genome Consortium sequencing project of the highly heterozygous Clementine and sweet orange genomes will soon result in the release of several hundred thousand SNPs. The primary goals of this study were: (i) to estimate the transferability within the genus Citrus of SNPs discovered from Clementine BACend sequencing (BES), (ii) to estimate bias associated with the very narrow discovery panel, and (iii) to evaluate the usefulness of the Clementine-derived SNP markers for diversity analysis and comparative mapping studies between the different cultivated Citrus species. Results Fifty-four accessions covering the main Citrus species and 52 interspecific hybrids between pummelo and Clementine were genotyped on a GoldenGate array platform using 1,457 SNPs mined from Clementine BES and 37 SNPs identified between and within C. maxima, C. medica, C. reticulata and C. micrantha. Consistent results were obtained from 622 SNP loci. Of these markers, 116 displayed incomplete transferability primarily in C. medica, C. maxima and wild Citrus species. The two primary biases associated with the SNP mining in Clementine were an overestimation of the C. reticulata diversity and an underestimation of the interspecific differentiation. However, the genetic stratification of the gene pool was high, with very frequent significant linkage disequilibrium. Furthermore, the shared intraspecific polymorphism and accession heterozygosity were generally enough to perform interspecific comparative genetic mapping. Conclusions A set of 622 SNP markers providing consistent results was selected. Of the markers mined from Clementine, 80.5% were successfully transferred to the whole Citrus gene pool. Despite the ascertainment biases in relation to the Clementine origin, the SNP data confirm the important stratification of the gene pools around C. maxima, C. medica and C. reticulata as well as previous hypothesis on the origin of secondary species. The implemented SNP marker set will be very useful for comparative genetic mapping in Citrus and genetic association in C. reticulata.
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Affiliation(s)
- Patrick Ollitrault
- CIRAD, UMR AGAP, Avenue Agropolis, TA A-108/02, 34398 Montpellier, Cedex 5, France.
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Allegre M, Argout X, Boccara M, Fouet O, Roguet Y, Bérard A, Thévenin JM, Chauveau A, Rivallan R, Clement D, Courtois B, Gramacho K, Boland-Augé A, Tahi M, Umaharan P, Brunel D, Lanaud C. Discovery and mapping of a new expressed sequence tag-single nucleotide polymorphism and simple sequence repeat panel for large-scale genetic studies and breeding of Theobroma cacao L. DNA Res 2011; 19:23-35. [PMID: 22210604 PMCID: PMC3276266 DOI: 10.1093/dnares/dsr039] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Theobroma cacao is an economically important tree of several tropical countries. Its genetic improvement is essential to provide protection against major diseases and improve chocolate quality. We discovered and mapped new expressed sequence tag-single nucleotide polymorphism (EST-SNP) and simple sequence repeat (SSR) markers and constructed a high-density genetic map. By screening 149 650 ESTs, 5246 SNPs were detected in silico, of which 1536 corresponded to genes with a putative function, while 851 had a clear polymorphic pattern across a collection of genetic resources. In addition, 409 new SSR markers were detected on the Criollo genome. Lastly, 681 new EST-SNPs and 163 new SSRs were added to the pre-existing 418 co-dominant markers to construct a large consensus genetic map. This high-density map and the set of new genetic markers identified in this study are a milestone in cocoa genomics and for marker-assisted breeding. The data are available at http://tropgenedb.cirad.fr.
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Affiliation(s)
- Mathilde Allegre
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Xavier Argout
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
- To whom correspondence should be addressed. Fax. +33 4-67-61-56-05.
| | - Michel Boccara
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
- University of the West Indies, Cocoa Research Unit (CRU), St Augustine, Trinidad and Tobago
| | - Olivier Fouet
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Yolande Roguet
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Aurélie Bérard
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Jean Marc Thévenin
- CIRAD, Biological Systems Department, UPR Bioagresseurs, 97387 Kourou Cedex, French Guiana
| | - Aurélie Chauveau
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Ronan Rivallan
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Didier Clement
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
- Comissão Executiva de Planejamento da Lavoura Cacaueira (CEPLAC), Km 22 Rod. Ilheus Itabuna, Cx. postal 07, Itabuna 45600-00, Bahia, Brazil
| | | | - Karina Gramacho
- Comissão Executiva de Planejamento da Lavoura Cacaueira (CEPLAC), Km 22 Rod. Ilheus Itabuna, Cx. postal 07, Itabuna 45600-00, Bahia, Brazil
| | - Anne Boland-Augé
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Mathias Tahi
- Centre National de la Recherche Agronomique (CNRA), B.P. 808, Divo, Côte d'Ivoire
| | - Pathmanathan Umaharan
- University of the West Indies, Cocoa Research Unit (CRU), St Augustine, Trinidad and Tobago
| | - Dominique Brunel
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Claire Lanaud
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
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Ganal MW, Durstewitz G, Polley A, Bérard A, Buckler ES, Charcosset A, Clarke JD, Graner EM, Hansen M, Joets J, Le Paslier MC, McMullen MD, Montalent P, Rose M, Schön CC, Sun Q, Walter H, Martin OC, Falque M. A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome. PLoS One 2011; 6:e28334. [PMID: 22174790 PMCID: PMC3234264 DOI: 10.1371/journal.pone.0028334] [Citation(s) in RCA: 378] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2011] [Accepted: 11/05/2011] [Indexed: 01/05/2023] Open
Abstract
SNP genotyping arrays have been useful for many applications that require a large number of molecular markers such as high-density genetic mapping, genome-wide association studies (GWAS), and genomic selection. We report the establishment of a large maize SNP array and its use for diversity analysis and high density linkage mapping. The markers, taken from more than 800,000 SNPs, were selected to be preferentially located in genes and evenly distributed across the genome. The array was tested with a set of maize germplasm including North American and European inbred lines, parent/F1 combinations, and distantly related teosinte material. A total of 49,585 markers, including 33,417 within 17,520 different genes and 16,168 outside genes, were of good quality for genotyping, with an average failure rate of 4% and rates up to 8% in specific germplasm. To demonstrate this array's use in genetic mapping and for the independent validation of the B73 sequence assembly, two intermated maize recombinant inbred line populations - IBM (B73×Mo17) and LHRF (F2×F252) - were genotyped to establish two high density linkage maps with 20,913 and 14,524 markers respectively. 172 mapped markers were absent in the current B73 assembly and their placement can be used for future improvements of the B73 reference sequence. Colinearity of the genetic and physical maps was mostly conserved with some exceptions that suggest errors in the B73 assembly. Five major regions containing non-colinearities were identified on chromosomes 2, 3, 6, 7 and 9, and are supported by both independent genetic maps. Four additional non-colinear regions were found on the LHRF map only; they may be due to a lower density of IBM markers in those regions or to true structural rearrangements between lines. Given the array's high quality, it will be a valuable resource for maize genetics and many aspects of maize breeding.
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Affiliation(s)
| | | | | | - Aurélie Bérard
- Etude du Polymorphisme des Génomes Végétaux, INRA – CEA – Institut de Génomique – Centre National de Génotypage, Evry, France
| | | | - Alain Charcosset
- UMR de Génétique Végétale, INRA – Université Paris-Sud – CNRS – AgroParisTech, Gif-sur-Yvette, France
| | - Joseph D. Clarke
- Syngenta Biotechnology Inc., Research Triangle Park, North Carolina, United States of America
| | | | - Mark Hansen
- Illumina Inc., San Diego, California, United States of America
| | - Johann Joets
- UMR de Génétique Végétale, INRA – Université Paris-Sud – CNRS – AgroParisTech, Gif-sur-Yvette, France
| | - Marie-Christine Le Paslier
- Etude du Polymorphisme des Génomes Végétaux, INRA – CEA – Institut de Génomique – Centre National de Génotypage, Evry, France
| | - Michael D. McMullen
- Plant Genetics Research Unit, USDA-Agricultural Research Service, Columbia, Missouri, United States of America
| | - Pierre Montalent
- UMR de Génétique Végétale, INRA – Université Paris-Sud – CNRS – AgroParisTech, Gif-sur-Yvette, France
| | - Mark Rose
- Syngenta Biotechnology Inc., Research Triangle Park, North Carolina, United States of America
| | - Chris-Carolin Schön
- Department of Plant Breeding, Technische Universität München, Freising, Germany
| | - Qi Sun
- Cornell University, Ithaca, New York, United States of America
| | - Hildrun Walter
- Department of Plant Breeding, Technische Universität München, Freising, Germany
| | - Olivier C. Martin
- UMR de Génétique Végétale, INRA – Université Paris-Sud – CNRS – AgroParisTech, Gif-sur-Yvette, France
| | - Matthieu Falque
- UMR de Génétique Végétale, INRA – Université Paris-Sud – CNRS – AgroParisTech, Gif-sur-Yvette, France
- * E-mail:
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Bennetau-Pelissero C, Manach C, Milenkovic D, Dangles O, Rock E, Constans J, Chanet A, Bérard A, Morand C. P065 Résultats de l’étude AGRUVASC PNRA 2006. NUTR CLIN METAB 2011. [DOI: 10.1016/s0985-0562(11)70132-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Muños S, Ranc N, Botton E, Bérard A, Rolland S, Duffé P, Carretero Y, Le Paslier MC, Delalande C, Bouzayen M, Brunel D, Causse M. Increase in tomato locule number is controlled by two single-nucleotide polymorphisms located near WUSCHEL. Plant Physiol 2011; 156:2244-54. [PMID: 21673133 PMCID: PMC3149950 DOI: 10.1104/pp.111.173997] [Citation(s) in RCA: 186] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2011] [Accepted: 06/09/2011] [Indexed: 05/18/2023]
Abstract
In tomato (Solanum lycopersicum) fruit, the number of locules (cavities containing seeds that are derived from carpels) varies from two to up to 10 or more. Locule number affects fruit shape and size and is controlled by several quantitative trait loci (QTLs). The large majority of the phenotypic variation is explained by two of these QTLs, fasciated (fas) and locule number (lc), that interact epistatically with one another. FAS has been cloned, and mutations in the gene are described as key factors leading to the increase in fruit size in modern varieties. Here, we report the map-based cloning of lc. The lc QTL includes a 1,600-bp region that is located 1,080 bp from the 3' end of WUSCHEL, which encodes a homeodomain protein that regulates stem cell fate in plants. The molecular evolution of lc showed a reduction of diversity in cultivated accessions with the exception of two single-nucleotide polymorphisms. These two single-nucleotide polymorphisms were shown to be responsible for the increase in locule number. An evolutionary model of locule number is proposed herein, suggesting that the fas mutation appeared after the mutation in the lc locus to confer the extreme high-locule-number phenotype.
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Affiliation(s)
- Stéphane Muños
- INRA, UR1052 Génétique et Amélioration des Fruits et Légumes, Domaine Saint-Maurice, 84143 Montfavet Cedex, France.
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Bérard A, Karam F, Sheehy O, Huneau M, Blais L, Briggs G, Roth M, Chambers C, Einarson A, Gaedigk A. Relapse of depressive and anxiety symptoms, and quality-of-life in pregnant users and discontinued users of antidepressants: Results from the OTIS Antidepressants Study. Reprod Toxicol 2011. [DOI: 10.1016/j.reprotox.2010.12.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Nakhai-Pour HR, Rey E, Bérard A. Antihypertensive medication use during pregnancy and the risk of major congenital malformations or small-for-gestational-age newborns. ACTA ACUST UNITED AC 2010; 89:147-54. [PMID: 20437474 DOI: 10.1002/bdrb.20238] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND In spite of the widespread use of antihypertensives during pregnancy, data on their risks and benefits for the newborn are limited. We investigated the risk of major congenital malformations or small-for-gestational-age newborns (SGA) in relation to gestational use of antihypertensives. METHODS Within the Quebec Pregnancy Registry, we conducted two case-control studies. First, cases were defined as major congenital malformations diagnosed during the first year of life and controls were selected from the same cohort; index date was date of delivery. Gestational exposure was defined as filling a prescription for an antihypertensive during the 1st trimester of pregnancy. Next, cases (SGA) were defined as newborns with a birth weight <10th percentile for that gestational age and gender; controls were the newborns with a birth weight > or =10 percentile. Gestational exposure was defined as filling a prescription for an antihypertensive during the 2nd or 3rd trimester. Multivariate logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CI). RESULTS We found that overall antihypertensives use during the 2nd or 3rd trimesters of pregnancy was associated with a higher risk of SGA (OR 1.53, 95% CI 1.17-1.99). Moreover, selective beta-blocker (OR 6.00, 95% CI 1.06-33.87), alpha beta blocker (OR 2.26, 95% CI 1.04-4.88), or centrally-acting adrenergic agents use (OR 1.70, 95% CI 1.00-2.89) was associated with a higher risk of SGA compared to non-use. CONCLUSION Gestational use of antihypertensives, especially beta-blocker, alpha beta blocker, or centrally-acting adrenergic agents, may increase the risk of SGA.
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Délye C, Michel S, Bérard A, Chauvel B, Brunel D, Guillemin JP, Dessaint F, Le Corre V. Geographical variation in resistance to acetyl-coenzyme A carboxylase-inhibiting herbicides across the range of the arable weed Alopecurus myosuroides (black-grass). New Phytol 2010; 186:1005-1017. [PMID: 20345631 DOI: 10.1111/j.1469-8137.2010.03233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
*The geographical structure of resistance to herbicides inhibiting acetyl-coenzyme A carboxylase (ACCase) was investigated in the weed Alopecurus myosuroides (black-grass) across its geographical range to gain insight into the process of plant adaptation in response to anthropogenic selective pressures occurring in agricultural ecosystems. *We analysed 297 populations distributed across six countries in A. myosuroides' main area of occupancy. The frequencies of plants resistant to two broadly used ACCase inhibitors and of seven mutant, resistant ACCase alleles were assessed using bioassays and genotyping, respectively. *Most of the resistance was not endowed by mutant ACCase alleles. Resistance and ACCase allele distribution patterns were characterized by mosaicism. The prevalence of resistance and of ACCase alleles differed among countries. *Resistance clearly evolved by redundant evolution of a set of resistance alleles or genes, most of which remain unidentified. Resistance in A. myosuroides was shaped by variation in the herbicide selective pressure at both the individual field level and the national level.
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Affiliation(s)
- Christophe Délye
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Séverine Michel
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Aurélie Bérard
- INRA, UR1279 Étude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique, Centre National de Génotypage, F-91000 Évry, France
| | - Bruno Chauvel
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Dominique Brunel
- INRA, UR1279 Étude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique, Centre National de Génotypage, F-91000 Évry, France
| | | | - Fabrice Dessaint
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Valérie Le Corre
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
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Délye C, Michel S, Bérard A, Chauvel B, Brunel D, Guillemin JP, Dessaint F, Le Corre V. Geographical variation in resistance to acetyl-coenzyme A carboxylase-inhibiting herbicides across the range of the arable weed Alopecurus myosuroides (black-grass). New Phytol 2010; 186:1005-1017. [PMID: 20345631 DOI: 10.1111/j.1469-8137.2010.03233.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
*The geographical structure of resistance to herbicides inhibiting acetyl-coenzyme A carboxylase (ACCase) was investigated in the weed Alopecurus myosuroides (black-grass) across its geographical range to gain insight into the process of plant adaptation in response to anthropogenic selective pressures occurring in agricultural ecosystems. *We analysed 297 populations distributed across six countries in A. myosuroides' main area of occupancy. The frequencies of plants resistant to two broadly used ACCase inhibitors and of seven mutant, resistant ACCase alleles were assessed using bioassays and genotyping, respectively. *Most of the resistance was not endowed by mutant ACCase alleles. Resistance and ACCase allele distribution patterns were characterized by mosaicism. The prevalence of resistance and of ACCase alleles differed among countries. *Resistance clearly evolved by redundant evolution of a set of resistance alleles or genes, most of which remain unidentified. Resistance in A. myosuroides was shaped by variation in the herbicide selective pressure at both the individual field level and the national level.
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Affiliation(s)
- Christophe Délye
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Séverine Michel
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Aurélie Bérard
- INRA, UR1279 Étude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique, Centre National de Génotypage, F-91000 Évry, France
| | - Bruno Chauvel
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Dominique Brunel
- INRA, UR1279 Étude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique, Centre National de Génotypage, F-91000 Évry, France
| | | | - Fabrice Dessaint
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
| | - Valérie Le Corre
- INRA, UMR1210 Biologie et Gestion des Adventices, F-21000 Dijon, France
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Abstract
AIMS Antihypertensive (AH) agents have been shown to reduce the risk of major cardiovascular events including chronic heart failure (CHF). However, the impact of changes in patterns of AH agents use on CHF is unknown. Our objective was to estimate to which different patterns of AH agent use is associated with the occurrence of CHF in a population-based study. METHOD AND RESULTS A cohort of 82 320 patients was reconstructed using the Régie de l'assurance maladie du Québec's databases. Patients were eligible if they were between 45 to 85 years of age, had no indication of cardiovascular disease and were newly treated with AH therapy between 1999 and 2004. A nested case-control design was used to study the occurrence of CHF. Every case of CHF was matched for age and duration of follow-up to a maximum of 15 randomly selected controls. Adherence level was reported as a medication possession ratio. Conditional logistic regression models were used to estimate the rate ratio (RR) of CHF adjusting for different covariables. The mean patient age was 65 years, 37% were male, 8% had diabetes, 19% had dyslipidaemia and mean time of follow-up at 2.7 years. High adherence level (95%) to AH therapy compared with lower adherence level (60%) was associated with an additional reduction of CHF events (RR: 0.89; 0.80-0.99). Risk factors for CHF were being on social assistance, diabetes, dyslipidaemia, higher chronic disease score and developing a cardiovascular condition during follow-up. CONCLUSION Our study suggests that a better adherence is associated with a significant risk reduction of CHF. Adherence to AH therapy needs to be improved to optimize benefits.
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Affiliation(s)
- S Perreault
- Faculty of Pharmacy, University of Montreal, Montréal, QC, Canada.
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Bérard A, Le Paslier MC, Dardevet M, Exbrayat-Vinson F, Bonnin I, Cenci A, Haudry A, Brunel D, Ravel C. High-throughput single nucleotide polymorphism genotyping in wheat (Triticum spp.). Plant Biotechnol J 2009; 7:364-74. [PMID: 19379285 DOI: 10.1111/j.1467-7652.2009.00404.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Over the past few years, considerable progress has been made in high-throughput single nucleotide polymorphism (SNP) genotyping technologies, largely through the investment of the human genetics community. These technologies are well adapted to diploid species. For plant breeding purposes, it is important to determine whether these genotyping methods are adapted to polyploidy, as most major crops are former or recent polyploids. To address this problem, we tested the capacity of the multiplex technology SNPlex with a set of 47 wheat SNPs to genotype DNAs of 1314 lines that were organized in four 384-well plates. These lines represented different taxa of tetra- and hexaploid Triticum species and their wild diploid relatives. We observed 40 markers which gave less than 20% missing data. Different methods, based on either Sanger sequencing or the MassARRAY genotyping technology, were then used to validate the genotypes obtained by SNPlex for 11 markers. The concordance of the genotypes obtained by SNPlex with the results obtained by the different validation methods was 96%, except for one discarded marker. Furthermore, a mapping study on six markers showed the expected genetic positions previously described. To conclude, this study showed that high-throughput genotyping technologies developed for diploid species can be used successfully in polyploids, although there is a need for manual reading. For the first time in wheat species, a core of 39 SNPs is available that can serve as the basis for the development of a complete SNPlex set of 48 markers.
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Affiliation(s)
- Aurélie Bérard
- INRA, UR1279 Etude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage, 2 rue Gaston Crémieux, CP5724, F-91057 Evry, France
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42
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Bérard A, Bréchat PH, Rymer R, Londsdorfer J. Coûts de construction du programme de « promotion de la santé par les activités physiques et sportives et de prévention des conduites dopantes : PN-APSD – 2002–2007 ». Rev Epidemiol Sante Publique 2009; 57:11-5. [DOI: 10.1016/j.respe.2008.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2008] [Revised: 10/01/2008] [Accepted: 10/30/2008] [Indexed: 10/21/2022] Open
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McKhann HI, Gery C, Bérard A, Lévêque S, Zuther E, Hincha DK, De Mita S, Brunel D, Téoulé E. Natural variation in CBF gene sequence, gene expression and freezing tolerance in the Versailles core collection of Arabidopsis thaliana. BMC Plant Biol 2008; 8:105. [PMID: 18922165 PMCID: PMC2579297 DOI: 10.1186/1471-2229-8-105] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2008] [Accepted: 10/15/2008] [Indexed: 05/18/2023]
Abstract
BACKGROUND Plants from temperate regions are able to withstand freezing temperatures due to a process known as cold acclimation, which is a prior exposure to low, but non-freezing temperatures. During acclimation, a large number of genes are induced, bringing about biochemical changes in the plant, thought to be responsible for the subsequent increase in freezing tolerance. Key regulatory proteins in this process are the CBF1, 2 and 3 transcription factors which control the expression of a set of target genes referred to as the "CBF regulon". RESULTS To assess the role of the CBF genes in cold acclimation and freezing tolerance of Arabidopsis thaliana, the CBF genes and their promoters were sequenced in the Versailles core collection, a set of 48 accessions that maximizes the naturally-occurring genetic diversity, as well as in the commonly used accessions Col-0 and WS. Extensive polymorphism was found in all three genes. Freezing tolerance was measured in all accessions to assess the variability in acclimated freezing tolerance. The effect of sequence polymorphism was investigated by evaluating the kinetics of CBF gene expression, as well as that of a subset of the target COR genes, in a set of eight accessions with contrasting freezing tolerance. Our data indicate that CBF genes as well as the selected COR genes are cold induced in all accessions, irrespective of their freezing tolerance. Although we observed different levels of expression in different accessions, CBF or COR gene expression was not closely correlated with freezing tolerance. CONCLUSION Our results indicate that the Versailles core collection contains significant natural variation with respect to freezing tolerance, polymorphism in the CBF genes and CBF and COR gene expression. Although there tends to be more CBF and COR gene expression in tolerant accessions, there are exceptions, reinforcing the idea that a complex network of genes is involved in freezing tolerance and that the CBF genes alone cannot explain all differences in phenotype. Our study also highlights the difficulty in assessing the function of single transcription factors that are members of closely related gene families.
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Affiliation(s)
- Heather I McKhann
- Etude de Polymorphisme des Génomes Végétaux (EPGV), INRA, CNG, 2, rue Gaston Crémieux, 91057 EVRY Cedex, France
| | - Carine Gery
- Station de Génétique et Amélioration des Plantes (SGAP), INRA, Route de Saint Cyr, 78026 Versailles Cedex, France
| | - Aurélie Bérard
- Etude de Polymorphisme des Génomes Végétaux (EPGV), INRA, CNG, 2, rue Gaston Crémieux, 91057 EVRY Cedex, France
| | - Sylvie Lévêque
- Etude de Polymorphisme des Génomes Végétaux (EPGV), INRA, CNG, 2, rue Gaston Crémieux, 91057 EVRY Cedex, France
| | - Ellen Zuther
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, D-14476 Potsdam, Germany
| | - Dirk K Hincha
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, D-14476 Potsdam, Germany
| | - S De Mita
- INRA, UMR 1097 "Diversité et Adaptation des Plantes Cultivées", Domaine de Melgueil, 34130 Mauguio, France
| | - Dominique Brunel
- Etude de Polymorphisme des Génomes Végétaux (EPGV), INRA, CNG, 2, rue Gaston Crémieux, 91057 EVRY Cedex, France
| | - Evelyne Téoulé
- Station de Génétique et Amélioration des Plantes (SGAP), INRA, Route de Saint Cyr, 78026 Versailles Cedex, France
- UPMC, 4 place Jussieu, 75252 Paris Cedex 05, France
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Paris M, Roux F, Bérard A, Reboud X. The effects of the genetic background on herbicide resistance fitness cost and its associated dominance in Arabidopsis thaliana. Heredity (Edinb) 2008; 101:499-506. [PMID: 18766202 DOI: 10.1038/hdy.2008.92] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The advantage of the resistance conferred by a mutation can sometimes be offset by a high fitness-cost penalty. This balance will affect possible fate of the resistance allele. Few studies have explored the impact of the genetic background on the expression of the resistance fitness cost and none has attempted to measure the variation in fitness-cost dominance. However, both the fitness penalty and its dominance may modify evolutionary trajectory and outcome. Here the impact of Arabidopsis thaliana intraspecific genetic diversity on fitness cost and its associated dominance was investigated by analysing 12 quantitative traits in crosses between a mutant conferring resistance to the herbicide 2,4-D and nine different natural genetic backgrounds. Fitness cost values were found to be more affected by intraspecific genetic diversity than fitness cost dominance, even though this effect depends on the quantitative trait measured. This observation has implications for the choice of the best strategy for preventing herbicide resistance development. In addition, our results pinpoint a potential compensatory improvement of the resistance fitness cost and its associated dominance by the genetic diversity locally present within a species.
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Affiliation(s)
- M Paris
- UMR1210 Biologie et Gestion des Adventices, INRA, Dijon, France
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Simon M, Loudet O, Durand S, Bérard A, Brunel D, Sennesal FX, Durand-Tardif M, Pelletier G, Camilleri C. Quantitative trait loci mapping in five new large recombinant inbred line populations of Arabidopsis thaliana genotyped with consensus single-nucleotide polymorphism markers. Genetics 2008; 178:2253-64. [PMID: 18430947 PMCID: PMC2323813 DOI: 10.1534/genetics.107.083899] [Citation(s) in RCA: 135] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2007] [Accepted: 01/30/2008] [Indexed: 12/25/2022] Open
Abstract
Quantitative approaches conducted in a single mapping population are limited by the extent of genetic variation distinguishing the parental genotypes. To overcome this limitation and allow a more complete dissection of the genetic architecture of complex traits, we built an integrated set of 15 new large Arabidopsis thaliana recombinant inbred line (RIL) populations optimized for quantitative trait loci (QTL) mapping, having Columbia as a common parent crossed to distant accessions. Here we present 5 of these populations that were validated by investigating three traits: flowering time, rosette size, and seed production as an estimate of fitness. The large number of RILs in each population (between 319 and 377 lines) and the high density of evenly spaced genetic markers scored ensure high power and precision in QTL mapping even under a minimal phenotyping framework. Moreover, the use of common markers across the different maps allows a direct comparison of the QTL detected within the different RIL sets. In addition, we show that following a selective phenotyping strategy by performing QTL analyses on genotypically chosen subsets of 164 RILs (core populations) does not impair the power of detection of QTL with phenotypic contributions >7%.
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Affiliation(s)
- Matthieu Simon
- Station de Génétique et d'Amélioration des Plantes UR254, INRA, F-78000 Versailles, France
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Abstract
Objective (1) To determine the prevalence of antidepressant utilisation before, during, and after pregnancy, (2) to determine switches, dosages, and classes of antidepressant used during pregnancy, and (3) to identify factors associated with their use at the beginning and at the end of pregnancy. Design Retrospective longitudinal cohort. Setting The ‘Medication and Pregnancy’ cohort was used for this study. This cohort was built by the linkage of three administrative databases (Régie de l’Assurance Maladie du Québec [RAMQ], Med-Écho, and l’Institut de la Statistique du Québec). Population All pregnancies occuring in Quebec between January 1 1998 and December 31 2002. Methods Date of entry in the cohort was the first day of gestation. To be eligible for this study, women had to be (1) 15–45 years old at cohort entry and (2) covered by the RAMQ drug plan for at least 12 months before, during, and at least 12 months after pregnancy. Antidepressant users were defined as those receiving at least one antidepressant before, during, or after pregnancy, depending on the time period analysed. Logistic regression models were used to identify factors associated with receiving an antidepressant either at the beginning or at the end of pregnancy. Main outcome measures To determine the prevalence and predictors associated with the use of antidepressants. Results A total of 97 680 women met inclusion criteria. The prevalence rates significantly declined during the first trimester compared with before pregnancy (3.7 versus 6.6%, P < 0.01). During pregnancy, antidepressants were used under the recommended daily dosage 7.7% of the time, and 4.7% of women switched to another class of antidepressant. Factors significantly associated with antidepressant utilisation on the first day of gestation (P < 0.05) were older maternal age, being on welfare, and calendar year; receiving at least six different types of medications other than antidepressants, having at least two different prescribers, having at least three visits to the physician, and having at least one diagnosis of depression in the year before pregnancy also increased the odds of having an antidepressant. Similar predictors were found at the end of pregnancy. Conclusions Our findings indicate that antidepressant utilisation declines once pregnancy is diagnosed. Please cite this paper as: Ramos É, Oraichi D, Rey É, Blais L, Bérard A. Prevalence and predictors of antidepressant use in a cohort of pregnant women. BJOG 2007;114:1055–1064.
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Affiliation(s)
- É Ramos
- Research Center, CHU Sainte-Justine HospitalMontreal, Quebec, Canada
| | - D Oraichi
- Research Center, CHU Sainte-Justine HospitalMontreal, Quebec, Canada
| | - É Rey
- Department of Obstetrics & Gynaecology, CHU Sainte-Justine HospitalMontreal, Quebec, Canada
| | - L Blais
- Research Center, Sacré-Coeur HospitalMontreal, Quebec, Canada
| | - A Bérard
- Research Center, CHU Sainte-Justine HospitalMontreal, Quebec, Canada
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Drouaud J, Mercier R, Chelysheva L, Bérard A, Falque M, Martin O, Zanni V, Brunel D, Mézard C. Sex-specific crossover distributions and variations in interference level along Arabidopsis thaliana chromosome 4. PLoS Genet 2007; 3:e106. [PMID: 17604455 PMCID: PMC1904369 DOI: 10.1371/journal.pgen.0030106] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2007] [Accepted: 05/14/2007] [Indexed: 11/25/2022] Open
Abstract
In many species, sex-related differences in crossover (CO) rates have been described at chromosomal and regional levels. In this study, we determined the CO distribution along the entire Arabidopsis thaliana Chromosome 4 (18 Mb) in male and female meiosis, using high density genetic maps built on large backcross populations (44 markers, >1,300 plants). We observed dramatic differences between male and female map lengths that were calculated as 88 cM and 52 cM, respectively. This difference is remarkably parallel to that between the total synaptonemal complex lengths measured in male and female meiocytes by immunolabeling of ZYP1 (a component of the synaptonemal complex). Moreover, CO landscapes were clearly different: in particular, at both ends of the map, male CO rates were higher (up to 4-fold the mean value), whereas female CO rates were equal or even below the chromosomal average. This unique material gave us the opportunity to perform a detailed analysis of CO interference on Chromosome 4 in male and female meiosis. The number of COs per chromosome and the distances between them clearly departs from randomness. Strikingly, the interference level (measured by coincidence) varied significantly along the chromosome in male meiosis and was correlated to the physical distance between COs. The significance of this finding on the relevance of current CO interference models is discussed. Meiotic crossovers between homologous chromosomes ensure their proper segregation to generate ultimately gametes. They also create new allelic combinations which contribute to the diversity of traits among individuals. In all eukaryotes, the number and the localization of crossovers along chromosomes are not random. In addition, crossovers are not independent of each other: the occurrence of a crossover lowers the probability that another crossover arises in its vicinity. The mechanism of this phenomenon, called “crossover interference,” is one of the most challenging puzzles that geneticists have been faced with in the last century. In this paper, we precisely described the distribution of crossovers along Chromosome 4 of the model plant species Arabidopsis thaliana, separately in male and female meiosis. Interestingly, we observed that crossovers are 1.7 more numerous in male than in female meiosis, and this increase is especially marked at the ends of the chromosome. Moreover, our results provide the first evidence that the level of interference along a chromosome is not a constant and is correlated with the physical distance between crossovers. These results shed new light on the determinism of crossover localization and could have important outcomes on the relevance of current models of crossover interference.
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Affiliation(s)
- Jan Drouaud
- Station de Génétique et d'Amélioration des Plantes, Institut Jean Pierre Bourgin, INRA, Versailles, France
| | - Raphaël Mercier
- Station de Génétique et d'Amélioration des Plantes, Institut Jean Pierre Bourgin, INRA, Versailles, France
| | - Liudmila Chelysheva
- Station de Génétique et d'Amélioration des Plantes, Institut Jean Pierre Bourgin, INRA, Versailles, France
| | - Aurélie Bérard
- UR Etude du Polymorphisme des Génomes Végétaux, Centre National de Génotypage, Evry, France
| | - Matthieu Falque
- UMR de Génétique Végétale, INRA, Université Paris-Sud, CNRS, Institut National Agronomique Paris-Grignon, Gif-sur-Yvette, France
| | - Olivier Martin
- UMR de Génétique Végétale, INRA, Université Paris-Sud, CNRS, Institut National Agronomique Paris-Grignon, Gif-sur-Yvette, France
- Laboratoire de Physique Théorique et Modèles Statistiques, Université Paris-Sud, Orsay, France
| | - Vanessa Zanni
- Station de Génétique et d'Amélioration des Plantes, Institut Jean Pierre Bourgin, INRA, Versailles, France
| | - Dominique Brunel
- UR Etude du Polymorphisme des Génomes Végétaux, Centre National de Génotypage, Evry, France
| | - Christine Mézard
- Station de Génétique et d'Amélioration des Plantes, Institut Jean Pierre Bourgin, INRA, Versailles, France
- * To whom correspondence should be addressed. E-mail:
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