Biomedical subjects

Matthieu Falque

Publications and source records attributed to Matthieu Falque.

8 recordsLinked to original sources

PubMed2026

Response to divergent selection on meiotic recombination in Saccharomyces cerevisiae.

Meiotic recombination is a key driver of evolution in sexually reproducing species, reshaping genetic diversity by generating novel allelic combinations. The rate of recombination varies substantially across living organisms depending on cis- or trans-acting genetic elements, as seen in many species, including the yeast Saccharomyces cerevisiae. Here, we report on an experimental evolution-based study to better understand the factors shaping this natural variation. Starting with a genetically diverse population of S. cerevisiae, we have carried out recurrent divergent selection on recombination rate using a fluorescence-based sorting approach in four independent lineages. After ten generations, we observed an average response of recombination rate of +28% after positive selection and -24% after negative selection, within the interval used for selection. In the adjacent region, however, we observed a weaker response in the opposite direction, and no response in four other unlinked genomic regions. Whole-genome sequencing of individuals selected for high recombination revealed mixed outcomes in the four independently evolved lineages for high genome-wide recombination rates. However, all four lineages showed selection for high recombination locally, with particular haplotypes heavily favored and sequence- or structural variation-based heterozygosity selected against within the selection interval. Overall, this experimental evolution approach provides original and useful insights into the evolvability of the meiotic recombination rate and the associated genetic determinants.

Meiotic recombination↗

PubMed2025

Genomic Divergence Shaped the Genetic Regulation of Meiotic Homologous Recombination in Brassica Allopolyploids.

The tight regulation of meiotic recombination between homologs is disrupted in Brassica AAC allotriploids, a genomic configuration that may have facilitated the formation of rapeseed (Brassica napus L.) ∼7,500 years ago. Indeed, the presence of the haploid C genome induces supernumerary crossovers between homologous A chromosomes with dramatically reshaped distribution. However, the genetic mechanisms driving this phenomenon and their divergence between nascent and established lineages remain unclear. To address these concerns, we generated hybrids carrying additional C chromosomes derived either from an established lineage of the allotetraploid B. napus or from its diploid progenitor B. oleracea. We then assessed recombination variation across twelve populations by mapping male meiotic crossovers using single nucleotide polymorphism markers evenly distributed across the sequenced A genome. Our findings reveal that the C09 chromosome of B. oleracea is responsible for the formation of additional crossovers near pericentromeric regions. Interestingly, its counterpart from an established lineage of B. napus shows no significant effect on its own, despite having a similar content of meiotic genes. However, we showed that the B. napus C09 chromosome influences crossover formation through inter-chromosomal epistatic interactions with other specific C chromosomes. These results provide new insights into the genetic regulation of homologous recombination in Brassica and emphasize the role of genomic divergence since the formation of the allopolyploid B. napus.

Meiosis↗

PubMed2005

Molecular evolution of the Opaque-2 gene in Zea mays L.

The Opaque-2 gene (O2) in maize encodes a transcriptional activator that controls the expression of various genes during kernel development, particularly some of the most abundant endosperm storage protein genes. Compared to its wild relative teosinte, maize has bigger and heavier kernels, with an increased proportion of starch and an altered distribution of the various storage protein categories. The molecular evolution of the O2 gene was investigated in connection with its possible involvement in the domestication process. Most of the coding sequence and parts of introns, 5'UTR, and 3' noncoding regions were sequenced in a set of cultivated and teosinte accessions. One hundred six polymorphic sites (5.4%) and 72 insertions/deletions, located mostly in noncoding regions, were found. Molecular diversity was quite high (pi = 0.0138, theta = 0.0167) compared to that of other transcription factors in maize. The synonymous and nonsynonymous diversity patterns along the coding sequence suggested that different regions are submitted to different functional constraints. Such an evolution would probably be favored by the observed rapid decay of linkage disequilibrium with distance. Cultivated accessions retained about 70% of the diversity observed in teosintes. Purifying selection was detected in both maize and teosintes. No conclusive evidence was obtained for a role of the O2 gene in the domestication process.

Alleles↗

PubMed2005

Linkage mapping of 1454 new maize candidate gene Loci.

Bioinformatic analyses of maize EST sequences have highlighted large numbers of candidate genes putatively involved in agriculturally important traits. To contribute to ongoing efforts toward mapping of these genes, we used two populations of intermated recombinant inbred lines (IRILs), which allow a higher map resolution than nonintermated RILs. The first panel (IBM), derived from B73 x Mo17, is publicly available from the Maize Genetics Cooperation Stock Center. The second panel (LHRF) was developed from F2 x F252 to map loci monomorphic on IBM. We built framework maps of 237 loci from the IBM panel and 271 loci from the LHRF panel. Both maps were used to place 1454 loci (1056 on map IBM_Gnp2004 and 398 on map LHRF_Gnp2004) that corresponded to 954 cDNA probes previously unmapped. RFLP was mostly used, but PCR-based methods were also performed for some cDNAs to map SNPs. Unlike in usual IRIL-based maps published so far, corrected meiotic centimorgan distances were calculated, taking into account the number of intermating generations undergone by the IRILs. The corrected sizes of our framework maps were 1825 cM for IBM_Gnp2004 and 1862 cM for LHRF_Gnp2004. All loci mapped on LHRF_Gnp2004 were also projected on a consensus map IBMconsensus_Gnp2004. cDNA loci formed clusters near the centromeres except for chromosomes 1 and 8.

Centromere↗

PubMed2004

Maize cytokinin oxidase genes: differential expression and cloning of two new cDNAs.

Cytokinin oxidases (CKOs) play a major role in the regulation of hormone levels in plants by irreversibly degrading cytokinins. Two new cDNAs from maize (CKO2 and CKO3) were cloned and CKO activity of a recombinant CKO3 enzyme was demonstrated. CKO2 and CKO3 encode flavoproteins with 93% identity among each other compared with 45% identity with CKO1. The respective genes were mapped to BIN 3.05/06 and BIN 8.06 which belong to duplicated regions of the maize genome. For a better understanding of the role of CKO2 and CKO3 in maize development, their expression profiles were analysed in different organs and during kernel development via semi-quantitative RT-PCR. Different spatial and temporal expression patterns were observed for the two genes, as well as for CKO1 and two additional genes CKO4 and CKO5. CKO2 to CKO5 genes were mainly expressed in vegetative tissues, with unique expression patterns. CKO1 was most strongly expressed in the kernel. All five genes were expressed at early stages of kernel development, a period when a peak in cytokinin levels and a high cell division rate in the endosperm have been described. However, each gene had its own expression profile with a major difference concerning the onset of expression.

DNA, Complementary↗

PubMed2004

BioMercator: integrating genetic maps and QTL towards discovery of candidate genes.

SUMMARY: Breeding programs face the challenge of integrating information from genomics and from quantitative trait loci (QTL) analysis in order to identify genomic sequences controlling the variation of important traits. Despite the development of integrative databases, building a consensus map of genes, QTL and other loci gathered from multiple maps remains a manual and tedious task. Nevertheless, this is a critical step to reveal co-locations between genes and QTL. Another important matter is to determine whether QTL linked to same traits or related ones is detected in independent experiments and located in the same region, and represents a single locus or not. Statistical tools such as meta-analysis can be used to answer this question. BioMercator has been developed to automate map compilation and QTL meta-analysis, and to visualize co-locations between genes and QTL through a graphical interface. AVAILABILITY: Available upon request (http://moulon/~bioinfo/BioMercator/). Free of charge for academic use.

Algorithms↗

PubMed2004

Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome.

Genetic architecture of flowering time in maize was addressed by synthesizing a total of 313 quantitative trait loci (QTL) available for this trait. These were analyzed first with an overview statistic that highlighted regions of key importance and then with a meta-analysis method that yielded a synthetic genetic model with 62 consensus QTL. Six of these displayed a major effect. Meta-analysis led in this case to a twofold increase in the precision in QTL position estimation, when compared to the most precise initial QTL position within the corresponding region. The 62 consensus QTL were compared first to the positions of the few flowering-time candidate genes that have been mapped in maize. We then projected rice candidate genes onto the maize genome using a synteny conservation approach based on comparative mapping between the maize genetic map and japonica rice physical map. This yielded 19 associations between maize QTL and genes involved in flowering time in rice and in Arabidopsis. Results suggest that the combination of meta-analysis within a species of interest and synteny-based projections from a related model plant can be an efficient strategy for identifying new candidate genes for trait variation.

Chromosome Mapping↗

PubMed2003

ActionMap: A web-based software that automates loci assignments to framework maps.

Genetic linkage computation may be a repetitive and time consuming task, especially when numerous loci are assigned to a framework map. We thus developed ActionMap, a web-based software that automates genetic mapping on a fixed framework map without adding the new markers to the map. Using this tool, hundreds of loci may be automatically assigned to the framework in a single process. ActionMap was initially developed to map numerous ESTs with a small plant mapping population and is limited to inbred lines and backcrosses. ActionMap is highly configurable and consists of Perl and PHP scripts that automate command steps for the MapMaker program. A set of web forms were designed for data import and mapping settings. Results of automatic mapping can be displayed as tables or drawings of maps and may be exported. The user may create personal access-restricted projects to store raw data, settings and mapping results. All data may be edited, updated or deleted. ActionMap may be used either online or downloaded for free (http://moulon.inra.fr/~bioinfo/).

Chromosome Mapping↗