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Items: 1 to 50 of 72

1.

Genotyping-by-sequencing and SNP-arrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies.

Negro SS, Millet EJ, Madur D, Bauland C, Combes V, Welcker C, Tardieu F, Charcosset A, Nicolas SD.

BMC Plant Biol. 2019 Jul 16;19(1):318. doi: 10.1186/s12870-019-1926-4.

2.

Genomic prediction of maize yield across European environmental conditions.

Millet EJ, Kruijer W, Coupel-Ledru A, Alvarez Prado S, Cabrera-Bosquet L, Lacube S, Charcosset A, Welcker C, van Eeuwijk F, Tardieu F.

Nat Genet. 2019 Jun;51(6):952-956. doi: 10.1038/s41588-019-0414-y. Epub 2019 May 20.

PMID:
31110353
3.

Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression.

Allier A, Moreau L, Charcosset A, Teyssèdre S, Lehermeier C.

G3 (Bethesda). 2019 May 7;9(5):1469-1479. doi: 10.1534/g3.119.400129.

4.

Quantitative trait loci mapping in hybrids between Dent and Flint maize multiparental populations reveals group-specific QTL for silage quality traits with variable pleiotropic effects on yield.

Seye AI, Bauland C, Giraud H, Mechin V, Reymond M, Charcosset A, Moreau L.

Theor Appl Genet. 2019 May;132(5):1523-1542. doi: 10.1007/s00122-019-03296-2. Epub 2019 Feb 7.

PMID:
30734114
5.

Assessment of breeding programs sustainability: application of phenotypic and genomic indicators to a North European grain maize program.

Allier A, Teyssèdre S, Lehermeier C, Claustres B, Maltese S, Melkior S, Moreau L, Charcosset A.

Theor Appl Genet. 2019 May;132(5):1321-1334. doi: 10.1007/s00122-019-03280-w. Epub 2019 Jan 21.

PMID:
30666392
6.

Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel.

Rio S, Mary-Huard T, Moreau L, Charcosset A.

Theor Appl Genet. 2019 Jan;132(1):81-96. doi: 10.1007/s00122-018-3196-1. Epub 2018 Oct 4.

PMID:
30288553
7.

Sequence analysis of European maize inbred line F2 provides new insights into molecular and chromosomal characteristics of presence/absence variants.

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.

BMC Genomics. 2018 Feb 5;19(1):119. doi: 10.1186/s12864-018-4490-7.

8.

Reciprocal Genetics: Identifying QTL for General and Specific Combining Abilities in Hybrids Between Multiparental Populations from Two Maize (Zea mays L.) Heterotic Groups.

Giraud H, Bauland C, Falque M, Madur D, Combes V, Jamin P, Monteil C, Laborde J, Palaffre C, Gaillard A, Blanchard P, Charcosset A, Moreau L.

Genetics. 2017 Nov;207(3):1167-1180. doi: 10.1534/genetics.117.300305. Epub 2017 Sep 28.

9.

Linkage Analysis and Association Mapping QTL Detection Models for Hybrids Between Multiparental Populations from Two Heterotic Groups: Application to Biomass Production in Maize (Zea mays L.).

Giraud H, Bauland C, Falque M, Madur D, Combes V, Jamin P, Monteil C, Laborde J, Palaffre C, Gaillard A, Blanchard P, Charcosset A, Moreau L.

G3 (Bethesda). 2017 Nov 6;7(11):3649-3657. doi: 10.1534/g3.117.300121.

10.

Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations.

Rincent R, Charcosset A, Moreau L.

Theor Appl Genet. 2017 Nov;130(11):2231-2247. doi: 10.1007/s00122-017-2956-7. Epub 2017 Aug 9.

11.

Genotyping-by-sequencing highlights original diversity patterns within a European collection of 1191 maize flint lines, as compared to the maize USDA genebank.

Gouesnard B, Negro S, Laffray A, Glaubitz J, Melchinger A, Revilla P, Moreno-Gonzalez J, Madur D, Combes V, Tollon-Cordet C, Laborde J, Kermarrec D, Bauland C, Moreau L, Charcosset A, Nicolas S.

Theor Appl Genet. 2017 Oct;130(10):2165-2189. doi: 10.1007/s00122-017-2949-6. Epub 2017 Aug 5.

PMID:
28780587
12.

Genetic diversity and population structure of native maize populations in Latin America and the Caribbean.

Bedoya CA, Dreisigacker S, Hearne S, Franco J, Mir C, Prasanna BM, Taba S, Charcosset A, Warburton ML.

PLoS One. 2017 Apr 12;12(4):e0173488. doi: 10.1371/journal.pone.0173488. eCollection 2017.

13.

Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts.

Brandenburg JT, Mary-Huard T, Rigaill G, Hearne SJ, Corti H, Joets J, Vitte C, Charcosset A, Nicolas SD, Tenaillon MI.

PLoS Genet. 2017 Mar 16;13(3):e1006666. doi: 10.1371/journal.pgen.1006666. eCollection 2017 Mar.

14.

Estimation of the relatedness coefficients from biallelic markers, application in plant mating designs.

Laporte F, Charcosset A, Mary-Huard T.

Biometrics. 2017 Sep;73(3):885-894. doi: 10.1111/biom.12634. Epub 2017 Jan 12.

PMID:
28084017
15.

General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents.

Larièpe A, Moreau L, Laborde J, Bauland C, Mezmouk S, Décousset L, Mary-Huard T, Fiévet JB, Gallais A, Dubreuil P, Charcosset A.

Theor Appl Genet. 2017 Feb;130(2):403-417. doi: 10.1007/s00122-016-2822-z. Epub 2016 Dec 2.

PMID:
27913832
16.

Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits.

Bouchet S, Bertin P, Presterl T, Jamin P, Coubriche D, Gouesnard B, Laborde J, Charcosset A.

Heredity (Edinb). 2017 Mar;118(3):249-259. doi: 10.1038/hdy.2016.88. Epub 2016 Nov 23.

17.

Fortune telling: metabolic markers of plant performance.

Fernandez O, Urrutia M, Bernillon S, Giauffret C, Tardieu F, Le Gouis J, Langlade N, Charcosset A, Moing A, Gibon Y.

Metabolomics. 2016;12(10):158. Epub 2016 Sep 15. Review.

18.

Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.

Millet EJ, Welcker C, Kruijer W, Negro S, Coupel-Ledru A, Nicolas SD, Laborde J, Bauland C, Praud S, Ranc N, Presterl T, Tuberosa R, Bedo Z, Draye X, Usadel B, Charcosset A, Van Eeuwijk F, Tardieu F.

Plant Physiol. 2016 Oct;172(2):749-764. Epub 2016 Jul 19.

19.

Association mapping for cold tolerance in two large maize inbred panels.

Revilla P, Rodríguez VM, Ordás A, Rincent R, Charcosset A, Giauffret C, Melchinger AE, Schön CC, Bauer E, Altmann T, Brunel D, Moreno-González J, Campo L, Ouzunova M, Álvarez Á, Ruíz de Galarreta JI, Laborde J, Malvar RA.

BMC Plant Biol. 2016 Jun 6;16(1):127. doi: 10.1186/s12870-016-0816-2.

20.

Assessment of IgE and IgG4 Binding Capacities of Cow's Milk Proteins Selectively Altered by Proteases.

Charcosset A, Adel-Patient K, Dupont C, Bernard H.

J Agric Food Chem. 2016 May 4;64(17):3394-404. doi: 10.1021/acs.jafc.5b01782. Epub 2016 Apr 19.

PMID:
27015440
21.

Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production.

Rincent R, Nicolas S, Bouchet S, Altmann T, Brunel D, Revilla P, Malvar RA, Moreno-Gonzalez J, Campo L, Melchinger AE, Schipprack W, Bauer E, Schoen CC, Meyer N, Ouzunova M, Dubreuil P, Giauffret C, Madur D, Combes V, Dumas F, Bauland C, Jamin P, Laborde J, Flament P, Moreau L, Charcosset A.

Theor Appl Genet. 2014 Nov;127(11):2313-31. doi: 10.1007/s00122-014-2379-7. Epub 2014 Oct 10.

PMID:
25301321
22.

Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize.

Giraud H, Lehermeier C, Bauer E, Falque M, Segura V, Bauland C, Camisan C, Campo L, Meyer N, Ranc N, Schipprack W, Flament P, Melchinger AE, Menz M, Moreno-González J, Ouzunova M, Charcosset A, Schön CC, Moreau L.

Genetics. 2014 Dec;198(4):1717-34. doi: 10.1534/genetics.114.169367. Epub 2014 Sep 29.

23.

Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction.

Lehermeier C, Krämer N, Bauer E, Bauland C, Camisan C, Campo L, Flament P, Melchinger AE, Menz M, Meyer N, Moreau L, Moreno-González J, Ouzunova M, Pausch H, Ranc N, Schipprack W, Schönleben M, Walter H, Charcosset A, Schön CC.

Genetics. 2014 Sep;198(1):3-16. doi: 10.1534/genetics.114.161943.

24.

OptiMAS: a decision support tool to conduct marker-assisted selection programs.

Valente F, Gauthier F, Bardol N, Blanc G, Joets J, Charcosset A, Moreau L.

Methods Mol Biol. 2014;1145:97-116. doi: 10.1007/978-1-4939-0446-4_9.

PMID:
24816663
25.

Recovering power in association mapping panels with variable levels of linkage disequilibrium.

Rincent R, Moreau L, Monod H, Kuhn E, Melchinger AE, Malvar RA, Moreno-Gonzalez J, Nicolas S, Madur D, Combes V, Dumas F, Altmann T, Brunel D, Ouzunova M, Flament P, Dubreuil P, Charcosset A, Mary-Huard T.

Genetics. 2014 May;197(1):375-87. doi: 10.1534/genetics.113.159731. Epub 2014 Feb 14.

26.

Mesenchymal stem cell therapy induces glucocorticoid synthesis in colonic mucosa and suppresses radiation-activated T cells: new insights into MSC immunomodulation.

Bessout R, Sémont A, Demarquay C, Charcosset A, Benderitter M, Mathieu N.

Mucosal Immunol. 2014 May;7(3):656-69. doi: 10.1038/mi.2013.85. Epub 2013 Oct 30.

PMID:
24172849
27.

Intraspecific variation of recombination rate in maize.

Bauer E, Falque M, Walter H, Bauland C, Camisan C, Campo L, Meyer N, Ranc N, Rincent R, Schipprack W, Altmann T, Flament P, Melchinger AE, Menz M, Moreno-González J, Ouzunova M, Revilla P, Charcosset A, Martin OC, Schön CC.

Genome Biol. 2013;14(9):R103.

28.

Adaptation of maize to temperate climates: mid-density genome-wide association genetics and diversity patterns reveal key genomic regions, with a major contribution of the Vgt2 (ZCN8) locus.

Bouchet S, Servin B, Bertin P, Madur D, Combes V, Dumas F, Brunel D, Laborde J, Charcosset A, Nicolas S.

PLoS One. 2013 Aug 30;8(8):e71377. doi: 10.1371/journal.pone.0071377. eCollection 2013.

29.

Combined linkage and linkage disequilibrium QTL mapping in multiple families of maize (Zea mays L.) line crosses highlights complementarities between models based on parental haplotype and single locus polymorphism.

Bardol N, Ventelon M, Mangin B, Jasson S, Loywick V, Couton F, Derue C, Blanchard P, Charcosset A, Moreau L.

Theor Appl Genet. 2013 Nov;126(11):2717-36. doi: 10.1007/s00122-013-2167-9. Epub 2013 Aug 23.

PMID:
23975245
30.

Out of America: tracing the genetic footprints of the global diffusion of maize.

Mir C, Zerjal T, Combes V, Dumas F, Madur D, Bedoya C, Dreisigacker S, Franco J, Grudloyma P, Hao PX, Hearne S, Jampatong C, Laloë D, Muthamia Z, Nguyen T, Prasanna BM, Taba S, Xie CX, Yunus M, Zhang S, Warburton ML, Charcosset A.

Theor Appl Genet. 2013 Nov;126(11):2671-82. doi: 10.1007/s00122-013-2164-z. Epub 2013 Aug 7.

PMID:
23921956
31.

OptiMAS: a decision support tool for marker-assisted assembly of diverse alleles.

Valente F, Gauthier F, Bardol N, Blanc G, Joets J, Charcosset A, Moreau L.

J Hered. 2013 Jul-Aug;104(4):586-90. doi: 10.1093/jhered/est020. Epub 2013 Apr 10.

32.

Maximizing the reliability of genomic selection by optimizing the calibration set of reference individuals: comparison of methods in two diverse groups of maize inbreds (Zea mays L.).

Rincent R, Laloë D, Nicolas S, Altmann T, Brunel D, Revilla P, Rodríguez VM, Moreno-Gonzalez J, Melchinger A, Bauer E, Schoen CC, Meyer N, Giauffret C, Bauland C, Jamin P, Laborde J, Monod H, Flament P, Charcosset A, Moreau L.

Genetics. 2012 Oct;192(2):715-28. doi: 10.1534/genetics.112.141473. Epub 2012 Aug 3.

33.

BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms.

Sosnowski O, Charcosset A, Joets J.

Bioinformatics. 2012 Aug 1;28(15):2082-3. doi: 10.1093/bioinformatics/bts313. Epub 2012 Jun 1.

34.

Diversity and linkage disequilibrium features in a composite public/private dent maize panel: consequences for association genetics as evaluated from a case study using flowering time.

Truntzler M, Ranc N, Sawkins MC, Nicolas S, Manicacci D, Lespinasse D, Ribière V, Galaup P, Servant F, Muller C, Madur D, Betran J, Charcosset A, Moreau L.

Theor Appl Genet. 2012 Aug;125(4):731-47. doi: 10.1007/s00122-012-1866-y. Epub 2012 May 24.

PMID:
22622520
35.

Maize genetic diversity and association mapping using transposable element insertion polymorphisms.

Zerjal T, Rousselet A, Mhiri C, Combes V, Madur D, Grandbastien MA, Charcosset A, Tenaillon MI.

Theor Appl Genet. 2012 May;124(8):1521-37. doi: 10.1007/s00122-012-1807-9. Epub 2012 Feb 18.

PMID:
22350086
36.

Flowering time in maize: linkage and epistasis at a major effect locus.

Durand E, Bouchet S, Bertin P, Ressayre A, Jamin P, Charcosset A, Dillmann C, Tenaillon MI.

Genetics. 2012 Apr;190(4):1547-62. doi: 10.1534/genetics.111.136903. Epub 2012 Jan 31.

37.

A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome.

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.

PLoS One. 2011;6(12):e28334. doi: 10.1371/journal.pone.0028334. Epub 2011 Dec 8.

38.

The genetic basis of heterosis: multiparental quantitative trait loci mapping reveals contrasted levels of apparent overdominance among traits of agronomical interest in maize (Zea mays L.).

Larièpe A, Mangin B, Jasson S, Combes V, Dumas F, Jamin P, Lariagon C, Jolivot D, Madur D, Fiévet J, Gallais A, Dubreuil P, Charcosset A, Moreau L.

Genetics. 2012 Feb;190(2):795-811. doi: 10.1534/genetics.111.133447. Epub 2011 Nov 30.

39.

A common genetic determinism for sensitivities to soil water deficit and evaporative demand: meta-analysis of quantitative trait Loci and introgression lines of maize.

Welcker C, Sadok W, Dignat G, Renault M, Salvi S, Charcosset A, Tardieu F.

Plant Physiol. 2011 Oct;157(2):718-29. doi: 10.1104/pp.111.176479. Epub 2011 Jul 27.

40.

A European perspective on maize history.

Tenaillon MI, Charcosset A.

C R Biol. 2011 Mar;334(3):221-8. doi: 10.1016/j.crvi.2010.12.015. Epub 2011 Feb 1. Review.

PMID:
21377617
41.

Effect of population structure corrections on the results of association mapping tests in complex maize diversity panels.

Mezmouk S, Dubreuil P, Bosio M, Décousset L, Charcosset A, Praud S, Mangin B.

Theor Appl Genet. 2011 Apr;122(6):1149-60. doi: 10.1007/s00122-010-1519-y. Epub 2011 Jan 11.

42.

Meta-analysis of QTL involved in silage quality of maize and comparison with the position of candidate genes.

Truntzler M, Barrière Y, Sawkins MC, Lespinasse D, Betran J, Charcosset A, Moreau L.

Theor Appl Genet. 2010 Nov;121(8):1465-82. doi: 10.1007/s00122-010-1402-x. Epub 2010 Jul 25.

PMID:
20658277
43.

The genetic architecture of grain yield and related traits in Zea maize L. revealed by comparing intermated and conventional populations.

Huang YF, Madur D, Combes V, Ky CL, Coubriche D, Jamin P, Jouanne S, Dumas F, Bouty E, Bertin P, Charcosset A, Moreau L.

Genetics. 2010 Sep;186(1):395-404. doi: 10.1534/genetics.110.113878. Epub 2010 Jun 30.

44.

QTLs and candidate genes for desiccation and abscisic acid content in maize kernels.

Capelle V, Remoué C, Moreau L, Reyss A, Mahé A, Massonneau A, Falque M, Charcosset A, Thévenot C, Rogowsky P, Coursol S, Prioul JL.

BMC Plant Biol. 2010 Jan 4;10:2. doi: 10.1186/1471-2229-10-2.

45.

Standing variation and new mutations both contribute to a fast response to selection for flowering time in maize inbreds.

Durand E, Tenaillon MI, Ridel C, Coubriche D, Jamin P, Jouanne S, Ressayre A, Charcosset A, Dillmann C.

BMC Evol Biol. 2010 Jan 4;10:2. doi: 10.1186/1471-2148-10-2.

46.

Fine mapping and haplotype structure analysis of a major flowering time quantitative trait locus on maize chromosome 10.

Ducrocq S, Giauffret C, Madur D, Combes V, Dumas F, Jouanne S, Coubriche D, Jamin P, Moreau L, Charcosset A.

Genetics. 2009 Dec;183(4):1555-63. doi: 10.1534/genetics.109.106922. Epub 2009 Oct 12.

47.

Epistatic interactions between Opaque2 transcriptional activator and its target gene CyPPDK1 control kernel trait variation in maize.

Manicacci D, Camus-Kulandaivelu L, Fourmann M, Arar C, Barrault S, Rousselet A, Feminias N, Consoli L, Francès L, Méchin V, Murigneux A, Prioul JL, Charcosset A, Damerval C.

Plant Physiol. 2009 May;150(1):506-20. doi: 10.1104/pp.108.131888. Epub 2009 Mar 27.

48.

Patterns of molecular evolution associated with two selective sweeps in the Tb1-Dwarf8 region in maize.

Camus-Kulandaivelu L, Chevin LM, Tollon-Cordet C, Charcosset A, Manicacci D, Tenaillon MI.

Genetics. 2008 Oct;180(2):1107-21. doi: 10.1534/genetics.108.088849. Epub 2008 Sep 9.

49.

Overview of QTL detection in plants and tests for synergistic epistatic interactions.

Jannink JL, Moreau L, Charmet G, Charcosset A.

Genetica. 2009 Jun;136(2):225-36. doi: 10.1007/s10709-008-9306-2. Epub 2008 Aug 10.

PMID:
18695990
50.

Key impact of Vgt1 on flowering time adaptation in maize: evidence from association mapping and ecogeographical information.

Ducrocq S, Madur D, Veyrieras JB, Camus-Kulandaivelu L, Kloiber-Maitz M, Presterl T, Ouzunova M, Manicacci D, Charcosset A.

Genetics. 2008 Apr;178(4):2433-7. doi: 10.1534/genetics.107.084830.

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