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Belinchon-Moreno, J.

Publications and source records attributed to Belinchon-Moreno, J..

4 recordsLinked to original sources

Intra-specific NLR allelic diversity and genomic landscape for plant resistance association studies

The identification of nucleotide-binding domain leucine-rich repeat receptor genes (NLRs) across multiple accessions is essential to capture their genetic diversity within a plant species. Using Nanopore adaptive sampling and de novo assembly, we accurately reconstructed the NLR regions across 143 Cucumis melo accessions representing diverse botanical groups and geographical origins. NLR annotation evidenced diverse cluster architectures and unexpected variation in NLR content across accessions, leading to unsaturated allelic diversity curves. Using this diversity, we further proposed pan-NLRome graph- and k-mer-based genome-wide association studies (GWAS), which, using Fusarium wilt races 1 and 2 severity data, accurately identified Fom-1, Fom-2, and novel non-NLR candidates. Furthermore, we extended these approaches for the identification of a candidate gene for flaccid necrosis caused by zucchini yellow mosaic virus. Our study offers a comprehensive view of NLR diversity in melon, overcoming the limitations of single-reference analyses, and supporting future efforts in NLR-focused GWAS and resistance breeding.

genomics↗

Nuclear and organelle genome assemblies of five Cucumis melo L. accessions, Ananas, Canton, PI 414723, Vedrantais and Zhimali, belonging to diverse botanical groups

The construction of accurate whole genome sequences is pivotal for characterizing the genetic diversity of plant species, identifying genes controlling important traits, or understanding their evolutionary dynamics. Here, we generated the nuclear, mitochondrial and chloroplast high- quality assemblies of five melon (Cucumis melo L.) accessions representing five diverse botanical groups, using the Oxford Nanopore sequencing technology. The accessions here studied included varied origins, fruit shapes, sizes, and resistance traits, providing a holistic view of melon genomic diversity. The final chromosome-level genome assemblies ranged in size from 359 to 365 Mb, with approximately 25x coverage for four of them multiplexed in half of a PromethION flowcell, and 48x coverage for the fifth, sequenced individually in another half of a PromethION flowcell. Contigs N50 ranged from seven to 15 Mb for all the assemblies, and very long contigs reaching sizes of 20-25 Mb, almost compatible with complete chromosomes, were assembled in all the accessions. Quality assessment through BUSCO and Mercury indicated the high completeness and accuracy of the assemblies, with BUSCO values exceeding 96% for all accessions, and Mercury QV values ranging between 32 and 47. We focused on the complex NLR resistance gene clusters to validate the accuracy of the assemblies in highly complex and repetitive regions. Through Nanopore adaptive sampling, we generated accurate targeted assemblies of these regions with a significantly higher coverage, enabling the comparison to our whole genome assemblies. Overall, these chromosome-level assembled genomes constitute a valuable resource for research focused on melon diversity, disease resistance, evolution, and breeding applications. Article SummaryThis study presents high-quality nuclear, mitochondrial, and chloroplast genome assemblies for five diverse melon (Cucumis melo L.) accessions, using Oxford Nanopore sequencing. The assemblies represent a broad spectrum of melon diversity, including differences in origin, fruit morphology, or resistance traits. The genomes, ranging from 359 to 365 Mb, were assembled at a chromosome level with high contiguity, and verified using different validation approaches. This study provides valuable insights for research on melon genetic diversity, disease resistance, and breeding applications. The genome data will be especially valuable for plant geneticists, breeders, and researchers working on crop improvement and resistance traits.

genomics↗

Nanopore adaptive sampling to identify the NLR-gene family in melon (Cucumis melo L.)

BackgroundNanopore Adaptive Sampling (NAS) offers a promising approach for assessing genetic diversity in targeted genomic regions. Herein, we design and validate an experiment to enrich a set of resistance genes in several melon cultivars as a proof of concept. ResultsWe showed that each of the 15 regions we identified in two newly assembled melon genomes (subspecies melo) were successfully and accurately reconstructed as well as in a third cultivar from the agrestis subspecies. We obtained a fourfold enrichment, independently from the samples, but with some variations according to the enriched regions. In the agrestis cultivar, we further confirmed our assembly by PCR. We discussed parameters that can influence enrichment and accuracy of assemblies generated through NAS. ConclusionsAltogether, we demonstrated NAS as a simple and efficient approach to explore complex genomic regions. This approach finally unlocks the characterization of resistance genes for a large number of individuals, as required for breeding new cultivars responding to the agroecological transition.

genomics↗

Integration of QTL and transcriptome approaches for the identification of genes involved in tomato response to nitrogen deficiency

Optimising plant nitrogen (N) usage and inhibiting N leaching loss in the soil-crop system is crucial to maintain crop yield and reduce environmental pollution. This study aimed at identifying quantitative trait loci (QTL) and differential expressed genes (DEGs) between two N treatments in order to list candidate genes related to nitrogen-related contrasting traits in tomato varieties. We characterised a genetic diversity core-collection (CC) and a multi-parental advanced generation intercross (MAGIC) tomato population grown in greenhouse under two nitrogen levels and assessed several N-related traits and mapped QTLs. Transcriptome response under the two N conditions was also investigated through RNA sequencing of fruit and leaves in four parents of the MAGIC population. Significant differences in response to N input reduction were observed at the phenotypic level for biomass and N-related traits. Twenty-seven (27) QTLs were detected for three target traits (Leaf N content, leaf Nitrogen Balance Index and petiole NO3- content), ten and six at low and high N condition, respectively; while 19 QTLs were identified for plasticity traits. At the transcriptome level, 4,752 and 2,405 DEGs were detected between the two N conditions in leaves and fruits, respectively, among which 3,628 (50.6%) in leaves and 1,717 (71.4%) in fruit were genotype specific. When considering all the genotypes, 1,677 DEGs were shared between organs or tissues. Finally, we integrated DEGs and QTLs analyses to identify the most promising candidate genes. The results highlighted a complex genetic architecture of N homeostasis in tomato and novel putative genes useful for breeding improved-NUE tomato. HighlightTomato response to nitrogen deficiency is genetically controlled by a few QTLs and impacts the expression of a large number of genes, among which some are good targets for breeding sober varieties.

plant biology↗