Biology subjects

Gilbault, E.

Publications and source records attributed to Gilbault, E..

6 recordsLinked to original sources

bioRxiv2025

Dissecting the genetic basis of drought escape across multiple traits in colonizing Arabidopsis thaliana lineages

Drought response in plants is complex, involving integration across a range of physiological processes. However, our knowledge of how different aspects of drought response are linked at the genetic level is limited. We investigated multi-trait adaptation in Arabidopsis thaliana from the Cape Verde Islands (CVI). Using a high-throughput phenotyping platform that minimizes spatial heterogeneity, we measured variation in rosette area, growth rate, leaf color, water-use efficiency (WUE), and stomatal patterning under precisely controlled water conditions. Relative to the Moroccan outgroup, CVI populations evolved to be smaller rosette size with faster growth and reduced WUE, consistent with drought escape adaptation. Genome-wide association mapping revealed evidence for pleiotropy involving MPK12 (WUE, rosette area, growth rate, and leaf color), NHL26 (WUE and leaf color), SUVH4 (stomatal patterning, rosette area, and leaf color), and FRI (WUE and leaf color), along with an enrichment of signals in ABA response. This study advances our knowledge of the genetic mechanisms driving plant adaptation to novel precipitation environments. By identifying key genetic components and their contributions to multi-trait adaptation, our findings offer insights into how plants respond to environmental challenges and contribute to predicting plant responses to future climate change.

genomics↗

bioRxiv2024

Transposable elements are prevalent vectors of transgenerational epigenetic inheritance in nature

Loss of DNA methylation over transposable elements (TEs) can affect neighboring genes and be epigenetically inherited in plants, yet the determinants and significance of this additional system of inheritance are unknown. Here, we demonstrate at thousands of TE loci across the Arabidopsis thaliana genome, that experimentally-induced hypomethylation can be transmitted transgenerationally and reveal the role of small RNAs derived from related copies in counteracting this transmission. Using data from >700 strains collected worldwide, we uncover natural hypomethylation at hundreds of the same TE loci, often situated near stress-responsive genes. Like their experimental counterparts, most natural epivariants we tested can be inherited without DNA sequence changes and are therefore bona fide epialleles, although genetic factors modulate their recurrence or persistence. Crucially, we demonstrate that TE-mediated epiallelic variation associated with differential gene expression is generally causal and may be target of selection in specific environments, thus establishing its importance in nature.

genomics↗

bioRxiv2024

Parallel Evolution of Salinity Tolerance in Arabidopsis thaliana Accessions from Cape Verde Islands

Soil salinization poses a significant threat to crop production impacting one fifth of all cultivated land. The Cape Verde Islands are located 600 km from the coast of Africa and are characterized by high salinity soils and inland water sources. In this study we find that Arabidopsis thaliana plants native to these islands accumulate a metabolite that protects them from salt stress. We partially characterized this metabolite as glucuronyl-mannose. We find that the ability to produce glucuronyl-mannose evolved independently in two different islands from the same archipelago through mutations in the same gene, an alpha glycosidase protein that we named GH38cv. These cases of parallel evolution suggest positive selection towards the increase of salt tolerance with low fitness costs. Indeed, plants carrying derived alleles of GH38cv do not present growth defects or low defenses under normal conditions, but show better germination rates, longer roots and better hydric status than non-mutated plants when exposed to salt stress. These findings provide a knowledge-based method to develop salt resilient crops using natural mechanisms, which could be attractive both to conventional and organic agriculture.

plant biology↗

bioRxiv2024

Changes in SWEET-mediated sugar partitioning affect photosynthesis performance and plant response to drought

Sugars, produced through photosynthesis, are at the core of all organic compounds synthesized and used for plant growth and response to environmental changes. Their production, transport, and utilization are highly regulated and integrated throughout the plant life cycle. The maintenance of sugar partitioning between the different subcellular compartments and between cells is important in adjusting the photosynthesis performance and response to abiotic constraints. Here, we investigated, in Arabidopsis, the consequences of the disruption of four genes coding for SWEET sugar transporters (SWEET11, SWEET12, SWEET16, and SWEET17) on plant photosynthesis and response to drought. Our results show that mutations in both SWEET11 and SWEET12 genes lead to an increase of cytosolic sugars in mesophyll cells and phloem parenchyma cells, which impacts several photosynthesis-related parameters. Further, our results suggest that in the swt11swt12 double mutant, the sucrose-induced feedback mechanism on stomatal closure is poorly efficient. On the other hand, changes in fructose partitioning in mesophyll and vascular cells, measured in the swt16swt17 double mutant, positively impact gas exchanges, probably through an increased starch synthesis together with higher vacuolar sugar storage. Finally, we propose that the impaired sugar partitioning, rather than the total amount of sugar observed in the quadruple mutant, is responsible for the enhanced sensitivity upon drought. This work highlights the importance of considering SWEET-mediated sugar partitioning rather than global sugar content in photosynthesis performance and plant response to drought. Such knowledge will pave the way to design new strategies to maintain plant productivity in a challenging environment.

plant biology↗

bioRxiv2019

Transcriptional natural variation at FLM induces synergistic pleiotropy in Arabidopsis thaliana

Investigating the evolution of complex phenotypes and the underlying molecular bases of their variation is critical to understand how organisms adapt to the environment. We used leaf growth as a model trait as it is highly integrative of internal and external cues and relies on functions at different levels of the plant organization. Applying classical quantitative genetics on a recombinant inbred line population derived from a Can-0 x Col-0 cross, we identified the MADS-box transcription factor FLOWERING LOCUS M (FLM) as a player of the phenotypic variation for leaf growth and colour. Interestingly, we showed that allelic variation at FLM modulates plant growth strategy along the leaf economics spectrum, a trade-off between resource acquisition and resource conservation observable across thousands of plant species. We demonstrated that the functional differences at FLM relies on a single intronic substitution, disturbing transcript splicing and leading to a low expression of the active FLM transcript. Using phenotypic and climatic data across Arabidopsis natural populations, our work shows how noncoding genetic variation of a single gene may be adaptive through synergistic pleiotropy.

plant biology↗

bioRxiv2018

The complex genetic architecture of shoot growth natural variation in Arabidopsis thaliana

One of the main outcome of quantitative genetics approaches to natural variation is to reveal the genetic architecture underlying the phenotypic space. Complex genetic architectures are described as including numerous loci (or alleles) with small-effect and/or low-frequency in the populations, interactions with the genetic background, environment or age... Linkage or association mapping strategies will be more or less sensitive to this complexity, so that we still have an unclear picture of its extent. By combining high-throughput phenotyping under two environmental conditions with classical QTL mapping approaches in multiple Arabidopsis thaliana segregating populations as well as advanced near isogenic lines construction and survey, we have attempted to push back the limits of our understanding of quantitative phenotypic variation. Integrative traits such as those related to vegetative growth used in this work (highlighting either cumulative growth, growth rate or morphology) all showed complex and dynamic genetic architecture with respect to the segregating population and condition. The more resolutive our mapping approach, the more complexity we uncover, with several instances of QTLs visible in near isogenic lines but not detected with the initial QTL mapping, indicating that our phenotyping resolution was less limiting than the mapping resolution with respect to the underlying genetic architecture. In an ultimate approach to resolve this complexity, we intensified our phenotyping effort to target specifically a 3Mb-region known to segregate for a major quantitative trait gene, using a series of selected lines recombined every 100kb. We discovered that at least 3 other independent QTLs had remained hidden in this region, some with trait- or condition-specific effects, or opposite allelic effects. If we were to extrapolate the figures obtained on this specific region in this particular cross to the genome- and species-scale, we would predict hundreds of causative loci of detectable phenotypic effect controlling these growth-related phenotypes.

genetics↗