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Chantret, N.

Publications and source records attributed to Chantret, N..

2 recordsLinked to original sources

Lineage-specific positive selection on stress-response genes in wild wheat relatives

Understanding how crop wild relatives (CWR) adapt to diverse environments is important both for evolutionary biology and for the development of climate-resilient agriculture. CWR represent an important reservoir of adaptive variation that can be exploited for future crop improvement. To investigate how natural selection has shaped adaptation in these species, we analysed whole-transcriptome data from four diploid wild wheat relatives with contrasting mating systems: the outcrossing species Aegilops speltoides and Aegilops mutica, and the selfing species Aegilops tauschii and Triticum urartu. We combined the imputed McDonald--Kreitman test (MKT) with lineage-specific estimates of divergence obtained from branch-specific models of molecular evolution. This framework reduces biases caused by slightly deleterious mutations and enables adaptive substitutions to be assigned to individual evolutionary lineages. We detected marked differences among species in the prevalence of positive selection. Evidence of adaptive evolution was concentrated in the outcrossing species, whereas few positively selected genes were identified in the selfing species. Comparisons between standard and branch-specific MKT approaches showed that some signals initially inferred as shared among species were reassigned to individual lineages when divergence was estimated on a branch-specific basis, emphasizing the importance of accurately localizing adaptive substitutions. Functional annotation revealed several candidate genes containing domains associated with abiotic and biotic stress responses. Our study provides a framework for detecting positive selection in wild wheat relatives and identifies candidate genes that may contribute to adaptation and represent valuable targets for future functional analyses and wheat improvement programs.

evolutionary biology↗

First 'Comprehensive' Annotation of Leucine-Rich Repeat-Containing Receptors in Rice

Rice plays an essential food security role for more than half of the worlds population. Obtaining crops with high levels of disease resistance is a major challenge for breeders, especially today given the urgent need for agriculture to be more sustainable. Plant resistance genes are mainly encoded by three large Leucine-Rich Repeat (LRR)-containing receptor (LRR-CR) subfamilies: the LRR-Receptor-Like Kinase (RLK), LRR-Receptor-Like Protein (RLP) and Nucleotide-binding LRR Receptor (NLR) subfamilies. Using LRRprofiler, a pipeline we developed to annotate and classify those proteins, we compared three publicly available annotations of the rice Nipponbare reference genome. The extended discrepancies we observed for LRR-CR gene models led us to perform in-depth manual curation of their annotations while paying special attention to nonsense mutations. We then transferred this manually curated annotation to Kitaake, a Nipponbare closely related cultivar, using an optimised strategy. Here we discuss the breakthrough achieved by manual curation when comparing genomes and, in addition to functional and structural annotations, we propose the community to adopt this new approach, which we call comprehensive annotation. The resulting data are crucial for further studies on the natural variability and evolution of LRR-CR in order to promote their use in breeding future resilient varieties.

genomics↗