BASE - Biology and Adaptation, Systems in Evolution

 13/12/2022 -  GQE
Modeling quantitative variation and its evolution, based on integrating different levels, including molecular, genetic, genomic, metabolic and environmental.

Head :
Judith Legrand (UPSay)

Biology and Adaptation, Systems in Evolution

We combine experimental approaches and mathematical modeling to investigate the complexity of genotype-phenotype relationships and their evolutionary consequences at different scales, and to understand how a population can adapt to a changing environment.

Illustration of our research themes

The environment includes abiotic (resources, climate) and biotic (conspecifics, other species) factors which interact with the organism along its whole life cycle. Phenotypes can be declined at different integration levels: life history traits, development, growth and morphology, but also molecular phenotypes and cellular-scale metabolism. We develop mathematical models in quantitative genetics, epidemiology, and systems biology, to understand how the phenotype is buiilt from the genome and its interactions with the environment at these different levels of integration. Our favorite study models are Maize (Zea mays) and the budding yeast (Saccharomyces cerevisiae).

Roles of evolutionary pressures on the dynamics of adaptation

  • Experimental evolution

    • The Saclay Divergent Selection Experiments: since 1996, four Maize populations are being selected for flowering date on the Saclay plateau. Each population descends from a seed lot of an inbred line (F252 or MBS847) and was selected for earlyness of lateness of its flowering date. The original genetic material produced allows to investigate the target traits of selection, to study the dynamics of the response to selection, and to generate inbred lines descending from the same genetic background but differing for their flowering date.
      Collaborators: INRAE experimental units in Saint-Martin de Hinx and Mons-Picardie.

    • Recurrent selection for meiotic recombination rate in budding yeast: using original tools developed in the team for high-throughput phenotyping of recombination rate and interference (Raffoux et al., 2018), our objective is to better understand the evolutionary nature of recombination rate within a species, and the link between recombination and adaptation to stress.
      Collaborators: G. Litti.

    • Selection for resistance to starvation in E. coli: in the frame of a teaching module of the Biology licence of University Paris-Saclay, we introduce Evolution to the students by making them participating to an experimental evolution experiment.
      Each year, we compare the proteome of ancestor and evolved strains thanks to a collaboration with the PAPPSO platform.

  • Models for population genetics and quantitative genetics

    • Dynamics of response to selection: we have demonstrated the interest of introducing hyper-recombinant progenitors in genomic selecion programs (Tourrette et al., 2020). Elsewhere, mathematical modeling of the response to selection in the Saclay Divergent Selection experiments on Maize allowed us to unveil the combined roles of drift and selection for a quick adaptation to a new environment (PhD A. Desbiez-Piat).

Projets : Itemaize   . ANR Evolrec   , thèses : A. Desbiez-Prat, E. Tourrette, D. Collot.

Phenotypic plasticity, genotype-phenotype relationship, and variation of life-history traits

Life-history traits and phenotypes of interest have a complex heredity that emerges from the organisation in gene network and metabolism along development, and their complex interplay with the environment leading to phenotypic plasticity. We are particularly interested in genetic variations of phenotypic plasticity, also called genotype by environment interactions. Our favorite models are :

  • drought tolerance and flowering time in Maize
  • plant/herbivorous insects interactions in Maize
  • molecular bases of heterosis and inbreeding depression

and we use and develop therefore different approaches, including:

  • taking into account climatic variables
  • genetic mapping
  • integrative biology
  • analysis of the regulation of protein abundances

Projets : Amaizing   ; Warm Rules   ; Phenofore   ; BASC LutteSesa; ANR HeteroYeast   ; Stat4Plants. PhD : C. Coton, M. Petrizelli

Genomes dynamics

Some traits like recombination rate, gene structure, and the mode of reproduction, are submitted to selection at the level of the species and determine the level of intra-specific genetic diversity. We use comparative genomic approaches combined with population genetics models to understand the dynamics of genomes.

Main collaborators: S. Glémin (structure of genes), R. Mercier (meiotic recombination), J. Enjalbert, X. Veckemans (modes of reproduction).

Projets : ANR CO-PATT  

Members

Publications

  • Falque M. , Bourgais A., Dumas F., De Carvalho M., Diblasi C.. (2024) MiniRead: A simple and inexpensive do‐it‐yourself device for multiple analyses of micro‐organism growth kinetics. Yeast, yea.3932
  • Coton C., Dillmann C. , de Vienne D. . (2023) Evolution of enzyme levels in metabolic pathways: A theoretical approach. Part 2. Journal of Theoretical Biology, (558) 111354
  • Desbiez-Piat A., Ressayre A. , Marchadier Élodie. , Noly A., Remoue C., Vitte C., Belcram H., Bourgais A., Galic N., Guilloux ML., Tenaillon MI., Dillmann C. . (2023) Pervasive GxE interactions shape adaptive trajectories and the exploration of the phenotypic space in artificial selection experiments. Genetics, (in press) 2023.01.13.523786
  • Desbiez-Piat A., Ressayre A. , Marchadier Élodie. , Noly A., Bourgais A., Galic N., Le Guilloux M., Tenaillon MI., Dillmann C. . (2023) The coupling between mutations effects and environment guides the exploration of phenotypic space as evidenced in artificial selection experiments. DOI.org (Crossref),
  • Michel E., Masson E., Bubbendorf S., Lapicque L., Nidelet T., Segond D., Guézenec S., Marlin T., Devillers H., Rué O., Onno B., Legrand J. , Sicard D.. (2023) Artisanal and farmer bread making practices differently shape fungal species community composition in French sourdoughs. Peer Community Journal, (3) e11
  • Régnier B., Legrand J. , Calatayud PA., Rebaudo F.. (2023) Developmental Differentiations of Major Maize Stemborers Due to Global Warming in Temperate and Tropical Climates. Insects, 1 (14) 51
  • Sanane I., Nicolas SD., Bauland C., Marion-Poll F., Noûs C., Legrand J. , Dillmann C. . (2023) Large genetic variability of maize leaf palatability to european corn borer : metabolic insights. bioRxiv,
  • Albert B., Matamoro-Vidal A., Prieu C., Nadot S., Till-Bottraud I., Ressayre A. , Gouyon PH.. (2022) A Review of the Developmental Processes and Selective Pressures Shaping Aperture Pattern in Angiosperms. Plants, 3 (11) 357
  • Coton C., Talbot G., Le Louarn M., Dillmann C. , de Vienne D. . (2022) Evolution of enzyme levels in metabolic pathways: A theoretical approach. Part 1. Journal of Theoretical Biology, (538) 111015
  • Hsu YM., 2022-09, Mining genetic diversity for tomorrow's agriculture, Theses, Université Paris-Saclay
  • Hsu YM., Falque M. , Martin OC.. (2022) Quantitative modelling of fine-scale variations in the Arabidopsis thaliana crossover landscape. Quant Plant Bio., (3) e3
  • Plancade S., Marchadier Élodie. , Huet S., Ressayre A. , Noûs C., Dillmann C. . (2021) A new hypothesis-testing model for phyllochron based on a stochastic process - application to analysis of genetic and environment effects in maize. DOI.org (Crossref),
  • Régnier B., Legrand J. , Rebaudo F., Brent C.. (2022) Modeling Temperature-Dependent Development Rate in Insects and Implications of Experimental Design. Environmental Entomology, 1 (51) 132-144
  • Von Gastrow L., Michel E., Legrand J. , Amelot R., Segond D., Guezenec S., Rué O., Chable V., Goldringer I., Dousset X., Serpolay‐Bessoni E., Taupier‐Letage B., Vindras‐Fouillet C., Onno B., Valence F., Sicard D.. (2023) Microbial community dispersal from wheat grains to sourdoughs: A contribution of participatory research. Molecular Ecology, 10 (32) 2413-2427
  • de Vienne D. , Capy P.. (2022) Special issue on “The relationship between genotype and phenotype: new insight into an old question”. Genetica, 3-4 (150) 151-151
  • de Vienne D. . (2022) What is a phenotype? History and new developments of the concept. Genetica, 3-4 (150) 153-158
  • David O., Le Rouzic A., Dillmann C. . (2021) Optimization of sampling designs for pedigrees and association studies. Biometrics,
  • Desbiez-Piat A., Le Rouzic A., Tenaillon MI., Dillmann C. . (2021) Interplay between extreme drift and selection intensities favors the fixation of beneficial mutations in selfing maize populations. Genetics, 2 (219)
  • Olvera-Vazquez SG., Alhmedi A., Miñarro M., Shykoff JA., Marchadier Élodie. , Rousselet A., Remoué C., Gardet R., Degrave A., Robert P., Chen X., Porchier J., Giraud T., Vander-Mijnsbrugee K., Raffoux X. , Falque M. , Alins G., Didelot F., Beliën T., Dapena E., Lemarquand A., Cornille A.. (2021) Experimental test for local adaptation of the rosy apple aphid (Dysaphis plantaginea) to its host (Malus domestica) and to its climate in Europe. PCI Ecology, (Pre-registration version)
  • Petrizzelli MS., de Vienne D. , Nidelet T., Noûs C., Dillmann C. , Kaleta C.. (2021) Data integration uncovers the metabolic bases of phenotypic variation in yeast. PLoS Comput Biol, 7 (17) e1009157
  • Sanané I., Legrand J. , Dillmann C. , Marion-Poll F.. (2021) High-Throughput Feeding Bioassay for Lepidoptera Larvae. J Chem Ecol, 7 (47) 642-652
  • Tourrette E., Falque M. , Martin OC.. (2021) Enhancing backcross programs through increased recombination. Genet Sel Evol, 1 (53) 25
  • Blein-Nicolas M. , Negro SS., Balliau T., Welcker C., Cabrera-Bosquet L., Nicolas SD., Charcosset A., Zivy M.. (2020) A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize. Genome Res., 11 (30) 1593-1604
  • Carrillo-Perdomo E., Vidal A., Kreplak J., Duborjal H., Leveugle M., Duarte J., Desmetz C., Deulvot C., Raffiot B., Marget P., Tayeh N., Pichon JP., Falque M. , Martin OC., Burstin J., Aubert G.. (2020) Development of new genetic resources for faba bean (Vicia faba L.) breeding through the discovery of gene-based SNP markers and the construction of a high-density consensus map. Sci Rep, 1 (10) 6790
  • Falque M. , Jebreen K., Paux E., Knaak C., Mezmouk S., Martin OC.. (2020) CNVmap: A Method and Software To Detect and Map Copy Number Variants from Segregation Data. Genetics, 3 (214) 561-576
  • Hanemian M., Vasseur F., Marchadier Élodie. , Gilbault E., Bresson J., Gy I., Violle C., Loudet O.. (2020) Natural variation at FLM splicing has pleiotropic effects modulating ecological strategies in Arabidopsis thaliana. Nat Commun, 1 (11) 4140
  • Harlé O., Legrand J. , Tesnière C., Pradal M., Mouret JR., Nidelet T., Ohya Y.. (2020) Investigations of the mechanisms of interactions between four non-conventional species with Saccharomyces cerevisiae in oenological conditions. PLoS ONE, 5 (15) e0233285
  • Henry V., Saïs F., Inizan O., Marchadier Élodie. , Dibie J., Goelzer A., Fromion V.. (2020) BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint. BMC Bioinformatics, 1 (21) 327
  • Sanane I., Legrand J. , Dillmann C. , Marion-Poll F.. (2020) A semi-automated design for high-throughput Lepidoptera larvae feeding bioassays. bioRxiv, 2020.08.02.232256
  • Sanane I., 20 octobre 2020, Composantes de la dynamique de l’interaction entre le maïs et les insectes lépidoptères foreurs de tige, PhD thesis, Université Paris-Saclay
  • de Vienne D. , Fiévet JB.. (2020) The Pitfalls of Heterosis Coefficients. Plants, 7 (9) 875
  • Bienvenut WV. , 2 décembre 2019, Des débuts de la protéomique à l'acétylation N-terminale des protéines chez les plantes, HDR, Université Paris Saclay
  • Jebreen K., Petrizzelli M., Martin OC.. (2019) Probabilities of Multilocus Genotypes in SIB Recombinant Inbred Lines. Front. Genet., (10) 833
  • Petrizzelli M., de Vienne D. , Dillmann C. . (2019) Decoupling the Variances of Heterosis and Inbreeding Effects Is Evidenced in Yeast's Life-History and Proteomic Traits. Genetics, 2 (211) 741-756
  • Petrizzelli M., 8 juillet 2019, Mathematical modelling and integration of complex biological data: analysis of the heterosis phenomenon in yeas, PhD Thesis, Université Paris-Saclay
  • Srisuwan S., Sihachakr D., Martin J., Valles J., Ressayre A. , Brown SC., Siljak-Yakovlev S.. (2019) Change in nuclear DNA content and pollen size with polyploidisation in the sweet potato (Ipomoea batatas, Convolvulaceae) complex. Plant Biol (Stuttg), 2 (21) 237-247
  • Termolino P., Falque M. , Aiese Cigliano R., Cremona G., Paparo R., Ederveen A., Martin OC., Consiglio FM., Conicella C.. (2019) Recombination suppression in heterozygotes for a pericentric inversion induces the interchromosomal effect on crossovers in Arabidopsis. Plant J, 6 (100) 1163-1175
  • Tourrette E., Bernardo R., Falque M. , Martin OC.. (2019) Assessing by Modeling the Consequences of Increased Recombination in Recurrent Selection of Oryza sativa and Brassica rapa. G3, 12 (9) 4169-4181
  • Tourrette E., 25 novembre 2019, Unleashing genetic diversity in breeding by increasing recombination: an in silico study, PhD Thesis, Université de Paris-Diderot
  • Urien C., Legrand J. , Montalent P., Casaregola S., Sicard D.. (2019) Fungal Species Diversity in French Bread Sourdoughs Made of Organic Wheat Flour. Front. Microbiol., (10) 201
  • Vasseur F., Fouqueau L., de Vienne D. , Nidelet T., Violle C., Weigel D.. (2019) Nonlinear phenotypic variation uncovers the emergence of heterosis in Arabidopsis thaliana. PLoS Biol, 4 (17) e3000214
  • Albert B., Ressayre A. , Dillmann C. , Carlson AL., Swanson RJ., Gouyon PH., Dobritsa AA.. (2018) Effect of aperture number on pollen germination, survival and reproductive success in Arabidopsis thaliana. Ann. Bot., 4 (121) 733-740
  • Carbonetto B., Ramsayer J., Nidelet T., Legrand J. , Sicard D.. (2018) Bakery yeasts, a new model for studies in ecology and evolution. Yeast, 11 (35) 591-603
  • Collot D., Nidelet T., Ramsayer J., Martin OC., Meleard S., Dillmann C. , Sicard D., Legrand J. . (2018) Feedback between environment and traits under selection in a seasonal environment: consequences for experimental evolution. Proceedings. Biological sciences, 1876 (285)
  • Fiévet JB., Nidelet T., Dillmann C. , de Vienne D. . (2018) Heterosis Is a Systemic Property Emerging From Non-linear Genotype-Phenotype Relationships: Evidence From in Vitro Genetics and Computer Simulations. Front. Genet., (9)
  • Raffoux X. , 2018-06-11 06/11/18, Diversité et déterminisme génétique de la recombinaison méiotique chez Saccharomyces cerevisiae, PhD thesis, Université Paris-Saclay
  • Raffoux X. , Bourge M., Dumas F., Martin OC., Falque M. . (2018) High-throughput measurement of recombination rates and genetic interference in Saccharomyces cerevisiae. Yeast, 6 (35) 431-442
  • Raffoux X. , Bourge M., Dumas F., Martin OC., Falque M. . (2018) Role of Cis, Trans, and Inbreeding Effects on Meiotic Recombination in Saccharomyces cerevisiae. Genetics, 4 (210) 1213-1226
  • Tenaillon MI., Sedikki K., Mollion M., Guilloux ML., Marchadier Élodie. , Ressayre A. , Dillmann C. . (2018) Transcriptomic response to divergent selection for flowering time in maize reveals convergence and key players of the underlying gene regulatory network. bioRxiv, 461947
  • 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.. (2017) 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.). G3: Genes, Genomes, Genetics, g3.300121.2017
  • Henry VJ., Saïs F., Marchadier Élodie. , Dibie J., Goelzer A., Fromion V.. (2017) BiPOm: Biological interlocked Process Ontology for metabolism. How to infer molecule knowledge from biological process?. HAL Archives Ouvertes, np
  • Pelé A., Falque M. , Trotoux G., Eber F., Nègre S., Gilet M., Huteau V., Lodé M., Jousseaume T., Dechaumet S., Morice J., Poncet C., Coriton O., Martin OC., Rousseau-Gueutin M., Chèvre AM.. (2017) Amplifying recombination genome-wide and reshaping crossover landscapes in Brassicas. PLoS Genet, 5 (13)
  • Sabarly V., Aubron C., Glodt J., Balliau T., Langella O., Chevret D., Rigal O., Bourgais A., Picard B., de Vienne D. , Denamur E., Bouvet O., Dillmann C. . (2016) Interactions between genotype and environment drive the metabolic phenotype within Escherichia coli isolates. Environmental microbiology, 1 (18) 100-17