Biology subjects

De Vega, J. J.

Publications and source records attributed to De Vega, J. J..

12 recordsLinked to original sources

bioRxiv2026

Developmental and physiological profiles define drought response diversity and genomic associations in common bean

Common bean (Phaseolus vulgaris L.) yields are strongly impacted by water deficit, yet there is substantial within-species diversity in how development, biomass accumulation, gas exchange, and photosynthetic performance are coordinated under stress. Based on this variation within a diversity panel, we characterise response profiles, define drought-response strategies, assess how these strategies relate to population structure and gene flow, and identify associated loci. A panel of 142 common bean accessions representing diverse genetic backgrounds was grown outdoors under controlled water-deficit conditions. Over five weeks, plants were monitored for phenology, biomass, pod production, and leaf traits related to stomatal and photosynthetic performance, including a brief recovery period. Genome-wide association analyses were then performed for developmental, physiological and recovery-related traits. Declining soil water availability revealed marked variation among accessions in developmental progression, biomass partitioning, stomatal behaviour and photosynthetic performance. We combined developmental and physiological traits to define above-ground response profiles and classify drought-response strategies in common bean, which were distributed across the diversity panel. GWAS identified multiple QTL and candidate loci associated with developmental, physiological and recovery-related traits. Common bean exhibits extensive diversity in overall above-ground responses to water deficit, likely reflecting local adaptation rather than population structure. Developmental data were essential for differentiating response strategies and, when combined with porometer and fluorometer measurements indicating the level of water stress experienced by the plants, for connecting traits and strategies to genomic variation. These results provide trait relationships, candidate loci and testable hypotheses for validation across environments and for future breeding-oriented studies.

plant biology↗

bioRxiv2025

Genome-wide association mapping for grain and forage quality traits in a subtropical oat germplasm collection adapted to highland regions of Eastern Africa

Oat (Avena sativa L.) is a globally important cereal cultivated for both livestock feed and human nutrition. However, its productivity is increasingly constrained by both biotic and abiotic stresses, exacerbated by rapid climate change. To support the development of dual-usage, stress-resilient and high-yielding cultivars adapted to subtropical agroecologies, we evaluated the genetic structure and agronomic performance of a 169-member oat association panel. This panel was phenotyped for key vegetative, forage feed quality and grain related traits across three subtropical locations in Sub-Saharan Africa (SSA) over two growing seasons and genotyped using Genotyping-by-Sequencing (GBS). Diversity analysis, based on filtered SNPs, showed moderate genetic diversity (He = 0.39 and PIC = 0.3), and population structure analysis identified two main sub-groups with varying degrees of admixture, suggesting gene flow among different groups. Genome-wide association analysis uncovered 42 SNPs significantly associated with sixteen traits (false discovery rate, FDR, <0.05), along with 46 candidate genes located near these loci. Notably, candidate genes associated with seed traits included a homolog of rice OsAK3, encoding adenylate kinase, and a UDP-glucosyltransferase homologous to rice GSA1, both previously shown to regulate grain size. These genes were located near QTL linked to seed length, width, and thousand-grain weight. Another key candidate, encoding a subunit of the ESCRT-II complex (VPS25), was identified near a separate QTL and is implicated in intracellular trafficking, endosperm development, and overall seed quality. By illuminating the genetic architecture of economically important traits and identifying molecular markers linked to yield, quality and resilience, this study provides valuable genomic resources to support genomics-based breeding aimed at developing climate-resilient, productive oats varieties adapted to sub-tropical agro-ecologies.

genomics↗

bioRxiv2025

Integrating image-based phenotyping and GWAS to map tolerance to Spittlebug nymphs in interspecific Urochloa grasses

Urochloa grasses are among the most widely used forage grasses across the tropics. Spittlebugs (Hemiptera: Cercopidae) are major pests of tropical Urochloa (syn. Brachiaria) pastures, severely reducing forage productivity and quality. Understanding the genetic basis of host-plant resistance is essential for developing durable resistant cultivars. Here, we combined high-throughput image-based phenotyping and genome-wide association studies (GWAS) to dissect the genetic architecture of tolerance to Aeneolamia varia nymphs in 339 interspecific F hybrids derived from crosses between resistant sexual and susceptible apomictic Urochloa parents. Digital image analysis using both unsupervised (DQU) and supervised (DTR) quantification pipelines enabled precise estimation of plant damage, yielding moderate to high broad-sense heritability estimates (H{superscript 2} = 0.49-0.66). In contrast, insect survival (NTS) exhibited low to moderate correlations with all damage traits and lower heritability estimates (H{superscript 2} = 0.42). Using 57,051 high-quality SNPs aligned to the genome of the hybrid cultivar Basilisk, GWAS models identified 18 quantitative trait loci (QTL) for plant damage traits, but none for insect survival (antibiosis). Six robust QTL on chromosomes 1, 6, 7, 27, 29, and 36 were consistently detected across models and phenotyping methods, explaining up to 21.5% of phenotypic variance. Candidate gene analysis revealed proteins involved in hormone signalling, oxidative stress response, and cell wall modification, suggesting multifaceted tolerance mechanisms. These results provide a foundational set of molecular markers associated with spittlebug tolerance in Urochloa, useful for marker-assisted and genomic selection in our forage breeding programme.

plant biology↗

bioRxiv2024

Selective breeding for determinacy and photoperiod sensitivity in common bean (Phaseolus vulgaris L.)

Common bean (Phaseolus vulgaris L.) is a legume pulse crop that provides significant dietary and ecosystem benefits globally. We investigated two key traits, determinacy and photoperiod sensitivity, that are integral to its management and crop production, and that were early selected during the domestication of both Mesoamerican and Andean gene pools. Still, significant variation exists among common bean landraces for these traits. Since landraces form the basis for trait introgression in pre-breeding, understanding these traits genetic underpinnings and relation with population structure is vital for guiding breeding and genetic studies. We explored genetic admixture, principal component, and phylogenetic analyses to define subpopulations and gene pools, and genome-wide association mapping (GWAS) to identify marker-trait associations in a diversity panel of common bean landraces. We observed a clear correlation between these traits, gene pool and subpopulation structure. We found extensive admixture between the Andean and Mesoamerican gene pools in some regions. We identified 13 QTLs for determinacy and 10 QTLs for photoperiod sensitivity, and underlying causative genes. Most QTLs appear to be firstly described. Our study identified known and novel causative genes and a high proportion of pleiotropic effects for these traits in common bean, and likely translatable to other legume species. HighlightWe identified and explored QTLs for the domestication-related determinacy and photoperiod sensitivity traits, which are traits critically associated with population structure and management and crop production.

plant biology↗

bioRxiv2024

A haplotype-resolved chromosome-level genome assembly of Urochloa decumbens cv. Basilisk resolves its allopolyploid ancestry and composition

Haplotyped-resolved phased assemblies aim to capture the full allelic diversity in heterozygous and polyploid species to enable accurate genetic analyses. However, building non-collapsed references still presents a challenge. Here, we used long-range interaction Hi-C reads (high-throughput chromatin conformation capture) and HiFi PacBio reads to assemble the genome of the apomictic cultivar Basilisks from Urochloa decumbens (2n = 4x = 36), an outcrossed tetraploid Paniceae grass widely cropped to feed livestock in the tropics. We identified and removed Hi-C reads between homologous unitigs to facilitate their scaffolding and employed methods for the manual curation of rearrangements and misassemblies. Our final phased assembly included the four haplotypes in 36 chromosomes. We found that 18 chromosomes originated from diploid U. brizantha and the other 18 from either U. ruziziensis or diploid U. decumbens. We also identified a chromosomal translocation between chromosomes 5 and 32, as well as evidence of pairing exclusively within subgenomes, except for a homoeologous exchange in chromosome 21. Our results demonstrate that haplotype-aware assemblies accurately capture the allelic diversity in heterozygous species, making them the preferred option over collapsed-haplotype assemblies.

plant biology↗

bioRxiv2023

Genome-wide characterisation of pathogenicity-related proteins in Mycena citricolor, the causal agent of the American Leaf Spot in coffee

Mycena citricolor is a fungus that causes the American Leaf Spot (ALS) disease in multiple hosts, including coffee and avocado. This hemibiotroph penetrates the plant through damage induced by oxalic acid. This can cause 20-90% crop losses in coffee depending on the environmental and production conditions. M. citricolor is the only known pathogenic species in the Mycena genus, a large group of saprophytic mushrooms. Comparing the saprophytic and pathogenic genomes can allow us to identify genetic machinery associated with the pathogens genome-wide functional acquisitions to cause disease. To identify pathogenicity-related genes in M. citricolor, we analysed protein family copy-number variation, secretome prediction, and homology to known virulence factors in two M. citricolor assemblies, including a newly assembled and annotated long-read genome. We found that the pathogenic M. citricolor had a higher proportion of secreted genes expanded in copy-number, and expanded gene copies homologous to known virulence factors than the saprophytic Mycena. We shortlisted over 300 candidate genes in each M. citricolor assembly. Focusing on genes strongly regulated during plant interaction, we found over 100 candidates, primarily from multiple copies (up to 4-3 times) of 42 well-known virulence factors (e.g. MFS1, CUTA, NoxA/B, OLE1, NorA), plus a few clade-specific uncharacterised genes. M. citricolor transition to a pathogenic lifestyle reflected genome-wide functional changes. M. citricolor seems to primarily depend on well-known virulence factors in large copy numbers, suggesting the molecular plant-interaction processes involved are like those of better-studied fungi. Hypothetically, the development of ALS resistance could mirror studied responses to these virulence factors.

genomics↗

bioRxiv2023

Characterising genome composition and large structural variation in banana varietal groups

BackgroundBananas and plantains (Musa spp.) are one of the most important crops worldwide. The cultivated varieties are vegetatively propagated, and their diversity is essentially fixed over time. Nevertheless, millennia of diversification and selection have led to hundreds of edible varieties. M. acuminata and M. balbisiana respectively provided the A and B subgenomes that mostly constitute these varieties. Here we aimed to characterise chromosomal exchanges and structural variation among lineages to understand shared foundational events and identify sources of allelic diversity in introgressed loci for genetic improvement. MethodsWe identified clonal somatic groups among 188 banana and plantain accessions introduced for cropping in Colombia, using admixture, principal component, and phylogenetic analyses. We established a new alignment-based metric, named Relative Averaged Alignment (RAA), to infer subgenome composition (AA, AAB, etc.). We later used comparisons in read coverage along conserved chromosomal windows between the A, B, and S subgenomes to identify introgressions. ResultsIn our panel, we identify ten varietal groups composed of somatic clones, plus three groups of tetraploid accessions. We demonstrated RAA can be used to infer subgenome composition in the total genome and individual chromosomes. We identified 20 introgressions, several newly reported, among the AAB and ABB varieties. We did not observe B-donor introgression in any AA/AAA varietal groups. We identified variation in length in at least two introgressions, a B-donor introgression in chromosome 7 between the "Maoli" and a "Popoulu" subdivisions, and an S-donor (M. schizocarpa) introgression in chromosome 2 in four varietal groups with different compositions (AAA, AAB, ABB, and AA). ConclusionsThe extensive distribution of introgressions and the variation in the length of some introgressions between varieties support that the emergence of many varieties can be attributed to intricate founding events, which encompassed multiple instances of hybridisation and subsequent residual backcrossing. We also showed the contribution of M. schizocarpa to four cultivated varieties, and proposed subdivision-specific intergenomic recombination in chromosome 7 between subgroups Maoli and Popoulu plantains. Introgressed loci over these 20 introgressions likely provide an extensive resource of allelic diversity to further explore their contribution to disease resistance, climatic adaption, etc. and potential for exploiting in breeding and genome editing.

plant biology↗

bioRxiv2021

Identifying genomic regions and candidate genes selected during the breeding of rice in Vietnam

Background and aimsVietnam harnesses a rich diversity of rice landraces adapted to a broad range of conditions, which constitute a largely untapped source of genetic diversity for the continuous improvement of rice cultivars. We previously identified a strong population structure in Vietnamese rice, which is captured in five Indica and four Japonica subpopulations, including an outlying Indica-5 group. Here, we leveraged on that strong differentiation, and the 672 rice genomes generated, to identify genes within genomic regions putatively selected during domestication and breeding of rice in Vietnam. MethodologyWe identified significant distorted patterns in allele frequency (XP-CLR method) and population differentiation scores (FST), resulting from differential selective pressures between native subpopulations, and compared them with QTLs previously identified by GWAS in the same panel. We particularly focused on the outlying Indica-5 subpopulation because of its likely novelty and differential evolution. ResultsWe identified selection signatures in each of the Vietnamese subpopulations and carried out a comprehensive annotation of the 52 regions selected in Indica-5, which represented 8.1% of the rice genome. We annotated the 4,576 genes in these regions, verified the overlap with QTLs identified in the same diversity panel and the comparison with a FST analysis between subpopulations, to select sixty-five candidate genes as promising breeding targets, several of which harboured alleles with non-synonymous substitutions. ConclusionsOur results highlight genomic differences between traditional Vietnamese landraces, which are likely the product of adaption to multiple environmental conditions and regional culinary preferences in a very diverse country. We also verified the applicability of this genome scanning approach to identify potential regions harbouring novel loci and alleles to breed a new generation of sustainable and resilient rice. Key MessageWe localised regions in the rice genome selected during breeding by comparing allele frequency patterns among Vietnamese rice subpopulations. We characterised candidate genes in the Indica-5 subpopulation with breeding potential.

plant biology↗

bioRxiv2021

The five Urochola spp. used in development of tropical forage cultivars originate from defined subpopulations with differentiated gene pools

Background and AimsUrochloa (syn. Brachiaria, and including some Panicum and Megathyrus) is a genus of tropical and subtropical grasses widely sown as forage to feed ruminants in the tropics. A better understanding of the diversity among Urochloa spp. allow us to leverage its varying ploidy levels and genome composition to accelerate its improvement, following the example from other crop genera. MethodsWe explored the genetic make-up and population structure in 111 accessions, which comprise the five Urochloa species used for the development of commercial cultivars. These accessions are conserved from wild materials from collection sites at their centre of origin in Africa. We used RNA-seq, averaging 40M reads per accession, to generate 1,167,542 stringently selected SNP markers that tentatively encompassed the complete Urochloa gene pool used in breeding. Key ResultsWe identified ten subpopulations, which had no relation with geographical origin and represented ten independent gene pools, and two groups of admixed accessions. Our results support a division in U. decumbens by ploidy, with a diploid subpopulation closely related to U. ruziziensis, and a tetraploid subpopulation closely related to U. brizantha. We observed highly differentiated gene pools in U. brizantha, which were not related with origin or ploidy. Particularly, one U. brizantha subpopulation clustered distant from the other U. brizantha and U. decumbens subpopulations, so likely containing unexplored alleles. We also identified a well-supported subpopulation containing both polyploid U. decumbens and U. brizantha accessions; this was the only group containing more than one species and tentatively constitutes an independent "mixed" gene pool for both species. We observed two gene pools in U. humidicola. One subpopulation, "humidicola-2", was much less common but likely includes the only known sexual accession in the species. ConclusionsOur results offered a definitive picture of the available diversity in Urochloa to inform breeding and resolve questions raised by previous studies. It also allowed us identifying prospective founders to enrich the breeding gene pool and to develop genotyping and genotype-phenotype association mapping experiments. HIGHLIGHTWe clarified the genetic make-up and population structure of 111 Urochloa spp. forage grasses to inform cultivar development.

plant biology↗

bioRxiv2020

Differential expression of starch and sucrose metabolic genes linked to varying biomass yield in Miscanthus hybrids

Miscanthus is a commercial lignocellulosic biomass crop owing to its high biomass productivity and low chemical input requirements. Interspecific Miscanthus hybrids with high biomass yield were shown to have low concentrations of starch and sucrose but high concentrations of fructose. We performed a transcriptional RNA-seq analysis between selected Miscanthus hybrids with contrasting values for these phenotypes to clarify how these phenotypes are genetically controlled. We observed that genes directly involved in the synthesis and degradation of starch and sucrose were down-regulated in high yielding Miscanthus hybrids. At the same time, glycolysis and export of triose phosphates were up-regulated in high yielding Miscanthus hybrids. Our results evidence a direct relationship between high expression of essential enzymatic genes in the starch and sucrose pathways, high starch concentrations, and lower biomass production. The strong interconnectivity between genotype, chemotype and agronomic traits opens the door to use the expression of well-characterised genes in the starch and sucrose pathway for the early selection of high biomass yielding genotypes from large Miscanthus populations.

plant biology↗

bioRxiv2020

Global multi-environment resistance QTL for foliar late blight resistance in tetraploid potato with tropical adaptation

The identification of environmentally stable and globally predictable resistance to potato late blight is challenged by the crops clonal and polyploid nature and the pathogens rapid evolution. Genome-wide analysis (GWA) of multi-environment trials can add precision to breeding for complex traits. A diversity panel of tetraploid potato germplasm bread for multiple resistance and quality traits was genotyped by genotyping by sequencing (GBS) and phenotyped for late blight resistance in a trait observation network spanning three continents addressed by the International Potato Centers (CIPs) breeding program. The aims of this study were to (i) identify QTL underlying resistance in and across environments and (ii) develop prediction models to support the global deployment and use of promising resistance sources in local breeding and variety development programs. Health-indexed in vitro plants of 380 clones and varieties were distributed from CIP headquarters in Peru to China and Ethiopia and tuber seed was produced centrally in each country. Phenotypes were recorded as rAUDPC following field exposure to local isolates of Phytophthora infestans, Stringent filtering for individual read depth >60 resulted in 3,239 tetraploid SNPs. Meanwhile, 55,748 diploid SNPs were identified using diploidized data and individual read depth>17. The kinship matrix was utilized to obtain BLUP and identify best performing germplasm in each and all environments. Genotypes with high levels of resistance in all environments were identified from the B3, LBHT and B3-LTVR populations. GWA identified stable QTL for late blight resistance in chromosome 9 and environment specific QTL in chromosomes 3, 5, 6 and 10.

genomics↗

bioRxiv2019

A new Brachiaria reference genome and its application in identifying genes associated with natural variation in tolerance to acidic soil conditions among Brachiaria grasses

Toxic concentrations of aluminium cations and low phosphorus availability are the main yield-limiting factors in acidic soils, which represent half of the potentially available arable land. Brachiaria grasses, which are commonly sown as a forage in the tropics because of their resilience and low demand for nutrients, have a greater tolerance to high concentrations of aluminium cations than most other grass crops. In this work, we explored the natural variation in tolerance to aluminium cations (Al3+) between high and low tolerant Brachiaria species and characterised their transcriptional differences during stress. We also identified three QTLs associated with root vigour during Al3+ stress in their hybrid progeny. By integrating these results with a new Brachiaria reference genome, we have identified 30 genes responsible for Al3+ tolerance in Brachiaria. We also observed differential expression during stress of genes involved in RNA translation, response signalling, cell wall composition and vesicle location genes homologous to aluminium-induced proteins involved in limiting uptake or localizing the toxin. However, there was limited regulation of malate transporters in Brachiaria, which are associated with external tolerance mechanisms to Al3+ stress in other grasses. The contrasting regulation of RNA translation and response signalling suggests response phasing is critical to Al3+ tolerance. HIGHLIGHTWe identified QTLs, genes and molecular responses in high and low tolerant Brachiaria grasses associated with aspects of response to aluminium stress, such as regulation, cell-wall composition and active transport.

genomics↗