Biology subjects

Dereeper, A.

Publications and source records attributed to Dereeper, A..

7 recordsLinked to original sources

bioRxiv2026

Two domesticated species of rice shaped the population structure of Xanthomonas oryzae pv. oryzae in Africa

African rice (Oryza glaberrima) was independently domesticated in West Africa around 3000 years ago, and has long been intertwined in the history of the region. The gradual replacement of African rice by Asian rice (Oryza sativa), which was introduced when European settlers arrived, has since dominated rice cultivation in Africa. Domesticated rice species are affected by bacterial leaf blight (BLB), which is caused by the pathogen Xanthomonas oryzae pv. oryzae (Xoo). Here we provide evidence that the bacterial leaf blight pathogen in Africa (AfXoo) belongs to a distinct phylogroup from the one circulating in Asia (AsXoo), and has a different evolutionary history. Analysis of 88 AfXoo genomes identified five groups, one of which is a highly diverse population that might have probably given rise to three independent clonal populations based on multiple genetic tests. Tip-dating analysis revealed that the emergence and expansion of AfXoo coincided with the rise and fall of African rice nearly a thousand years ago, and O. sativa served as a bottleneck in the evolution of AfXoo over time. Although the type III effectors (T3E), proteins that are secreted by the pathogen to evade host resistance or seize control of host nutrients, are highly conserved in AfXoo, we observed some variation in effector families. Different evolutionary modifications in the transcription activator-like effectors (TALEs), especially in repeat variable di-residues (RVDs), likely enabled adaptation to both host species. Previous analyses carried out on samples collected in Burkina Faso have shown that there could be more than one TALE repertoire combination in the field, and genome sequencing data revealed potential TALE evolutionary mechanisms that could happen. Our research provides a comprehensive genetic history of bacterial blight in West Africa, and its past and present impact on rice cultivation in the region. Author summaryFor thousands of years, rice cultivation has been an integral part of African agriculture. However, the cultivation of the locally domesticated African rice cultivar (Oryza glaberrima) has been gradually shifted towards Asian rice varieties (Oryza sativa), which has affected the adaptation of the native pathogen population. One of these pathogens is the causal agent of bacterial leaf blight, Xanthomonas oryzae pv. oryzae (Xoo). Here we performed a population genomics approach to understand the evolutionary history and virulence spectrum of African Xoo (AfXoo), a unique phylogroup within the Xanthomonas oryzae species. Our results suggest that AfXoo were first adapted to African rice at least a thousand years ago. The introduction of O. sativa has shaped the recent population dynamics of AfXoo. TALEs are tightly conserved in AfXoo with multiple sequence variations unique to different populations, which could be explained by different evolutionary forces acting upon both domesticated rice. Our results highlight the interplay between crop domestication and cultivation and pathogen evolution.

genomics↗

bioRxiv2025

Chromosome-Scale Genome Assembly of Australian Finger Lime and Resequencing Reveal the Hidden Diversity of Oceanian Citrus

Oceanian citrus species, including wild taxa native to Australia and Papua New Guinea, form a genetically distinct clade within the Citrus L. (1753) genus. These species remain largely underexplored, despite their adaptation to diverse environments and relevance for citrus improvement. To support their use in breeding and evolutionary studies, we generated a high-quality, Chromosome-scale genome assembly of an Australian finger lime accession (SRA 1002), a natural interspecific hybrid. The genome was assembled using long-read sequencing, optical mapping, and a high-density genetic map, resulting in nine pseudomolecules covering over 97% of the genome. Using this reference, we analyzed whole-genome resequencing data from 132 accessions representing the diversity of Asian and Oceanian citrus. Variant calling across the dataset produced a high-resolution catalogue of single nucleotide polymorphisms (SNPs) and derived database of SNP fully discriminant of 20 Citrus species (DSNPs), enabling detailed exploration of inter- and intra-specific diversity. The data reveal a strong population structure within the group with clear heterozygosity variation between ancestral species and admixed accessions, reflecting their complex evolutionary history and hybridization patterns. This study provides the first integrated genomic framework for Oceanian citrus diversity, offering essential tools for downstream applications in citrus breeding, conservation, and evolutionary genomics. The resources generated lay the groundwork for future association studies and the targeted introgression of beneficial traits into cultivated citrus.

plant biology↗

bioRxiv2024

A super-pangenome for cultivated citrus reveals evolutive features during the allopatric phase of their reticulate evolution

Most of the rich genetic diversity observed in cultivated citrus results from a reticulate evolution involving four ancestral taxa, C. medica, C. reticulata, C. maxima and C. micrantha, whose radiation occurred in allopatry. In such an evolutive context, genome diversity studies, GWAS analysis and transcriptomic studies will be significantly enhanced through pangenome approaches. We report the implementation of a super-pangenome for cultivated citrus, established with de novo assemblies in pseudochromosomes of C. medica (346 Mb), C. reticulata (332 Mb) and C. micrantha (333 Mb), released for the first time alongside a previously published chromosome-scale assembly of C. maxima. Gene annotation of these four genome assemblies revealed 28,090, 29,477, 29,258 and 30,101 genes, respectively, with a focus on pattern recognition receptors. Repetitive element annotation revealed that nearly half of each genome consisted of transposable elements or DNA-satellites. The 3 new genome assemblies display strong synteny and collinearity, while significant discrepancies are observed with the C. maxima assembly. Resequencing information (single nucleotide polymorphisms [SNPs], small indels and gene presence-absence variation [PAV]) from 55 accessions were used to explore the intra- and interspecific diversity of the four ancestral taxa and their relationships with the main horticultural groups resulting from reticulate evolution. Diagnostic SNPs of the ancestral taxa, all over the four genomes assemblies, revealed interspecific introgressions in several accessions representative of C. reticulata, C. maxima and C. medica as well as insights into the origin and phylogenomic structures of modern horticultural groups. PAV analysis revealed a gene whose absence or presence was specific to one of the ancestral taxa (dPAV). Interestingly, diagnostic PAV (dPAV) analysis uncovered a large chloroplastic introgression in chromosome 4 of C. medica, inherited in horticultural groups and recent hybrids having this species as the male parent. Implementing the super-pangenome combined the identification of orthologous genes across the four genome assemblies and the PAV information from the resequencing data. Significant inter- and intraspecific variations were highlighted, including 25,291 core, 2,431 soft-core and 5,171 dispensable genes. The analysis of the functional enrichment and species-specific adaptations in the citrus super-pangenome revealed distinct functional specializations. This highlights the evolutionary paths that have shaped each species, contributing to the diversity in the citrus super-pangenome while maintaining a shared foundation of essential biological processes. The development of this super-pangenome is a significant milestone in citrus genomics, providing a comprehensive resource that captures the extensive genetic diversity of modern cultivated citrus. Additionally, we established a dedicated Genome Hub, offering a platform for continuous genomic research and allowing for ongoing updates and future inclusion of additional ancestral species.

genomics↗

bioRxiv2022

Novel genetic traits in Xanthomonas unveiled by the complete genome sequencing of three clade-1 xanthomonads

Evolutionary early-branching xanthomonads, also referred to as clade-1 xanthomonads, include major plant pathogens, most of which colonize monocotyledonous plants. Seven species have been validly described, among them the two sugarcane pathogens Xanthomonas albilineans and Xanthomonas sacchari, and Xanthomonas translucens, which infects small grain cereals, diverse grasses, but also asparagus and pistachio trees. Single-gene sequencing and genomic approaches indicated that this clade likely contains more, yet undescribed species. In this study, we sequenced representative strains of three novel species using long-read sequencing technology. Xanthomonas sp. pv. phormiicola strain CFBP 8444 causes bacterial streak on New Zealand flax, another monocotyledonous plant. Xanthomonas sp. strain CFBP 8443 has been isolated from common bean and Xanthomonas sp. strain CFBP 8445 originated from banana. Complete assemblies of the chromosomes confirmed their unique taxonomic position within clade 1 of Xanthomonas. Genome mining revealed novel genetic traits, hitherto undescribed in other members of the Xanthomonas genus. In strain CFBP 8444, we identified genes related to the synthesis of coronatine-like compounds, a phytotoxin produced by several pseudomonads, which raises interesting questions about the evolution and pathogenicity of this pathogen. In addition, strain CFBP 8444 was found to encode a second, atypical flagellar gene cluster in addition to the canonical flagellar gene cluster. Overall, this research represents an important step toward better understanding the evolutionary history and biology of early-branching xanthomonads.

microbiology↗

bioRxiv2020

Genetics of nodulation in Aeschynomene evenia uncovers new mechanisms of the rhizobium-legume symbiosis

Among legumes (Fabaceae) capable of nitrogen-fixing nodulation, several Aeschynomene spp. use a unique symbiotic process that is independent of Nod factors and infection threads. They are also distinctive in developing root and stem nodules with photosynthetic bradyrhizobia. Despite the significance of these symbiotic features, their understanding remains limited. To overcome such limitations, we conducted genetic studies of nodulation in Aeschynomene evenia, supported by the development of a genome sequence for A. evenia and transcriptomic resources for 10 additional Aeschynomene spp. Comparative analysis of symbiotic genes substantiated singular mechanisms in the early and late nodulation steps. A forward genetic screen also showed that AeCRK, coding a novel receptor-like kinase, and the symbiotic signaling genes AePOLLUX, AeCCamK, AeCYCLOPS, AeNSP2 and AeNIN, are required to trigger both root and stem nodulation. This work demonstrates the utility of the A. evenia model and provides a cornerstone to unravel new mechanisms underlying the rhizobium-legume symbiosis.

plant biology↗

bioRxiv2018

Rice Galaxy: an open resource for plant science

Background\n\nRice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci (QTL) discovery and molecular marker development. Comparative sequence analyses across QTL regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non-computer savvy rice researchers.\n\nFindings\n\nWe adopted the Galaxy framework to build the federated Rice Galaxy resource, with shared datasets, tools, and analysis workflows relevant to rice research. The shared datasets include high density genotypes from the 3,000 Rice Genomes project and sequences with corresponding annotations from nine published rice genomes. Rice Galaxy includes tools for designing single nucleotide polymorphism (SNP) assays, analyzing genome-wide association studies, population diversity, rice-bacterial pathogen diagnostics, and a suite of published genomic prediction methods. A prototype Rice Galaxy compliant to Open Access, Open Data, and Findable, Accessible, Interoperable, and Reproducible principles is also presented.\n\nConclusions\n\nRice Galaxy is a freely available resource that empowers the plant research community to perform state-of-the-art analyses and utilize publicly available big datasets for both fundamental and applied science.

bioinformatics↗

bioRxiv2018

TOGGLe, a flexible framework for easily building complex workflows and performing robust large-scale NGS analyses

The advent of NGS has intensified the need for robust pipelines to perform high-performance automated analyses. The required softwares depend on the sequencing method used to produce raw data (e.g. Whole genome sequencing, Genotyping By Sequencing, RNASeq) as well as the kind of analyses to carry on (GWAS, population structure, differential expression). These tools have to be generic and scalable, and should meet the biologists needs.\n\nHere, we present the new version of TOGGLe (Toolbox for Generic NGS Analyses), a simple and highly flexible framework to easily and quickly generate pipelines for large-scale second-and third-generation sequencing analyses, including multi-threading support. TOGGLe comprises a workflow manager designed to be as effortless as possible to use for biologists, so the focus can remain on the analyses. Embedded pipelines are easily customizable and supported analyses are reproducible and shareable. TOGGLe is designed as a generic, adaptable and fast evolutive solution, and has been tested and used in large-scale projects with numerous samples and organisms. It is freely available at http://toggle.southgreen.fr/ under the GNU GPLv3/CeCill-C licenses) and can be deployed onto HPC clusters as well as on local machines.

bioinformatics↗