Biology subjects

Wijfjes, R.

Publications and source records attributed to Wijfjes, R..

5 recordsLinked to original sources

bioRxiv2025

Contemporary hybridization among Arabis floodplain species creates opportunities for adaptation

Hybridization between closely related species is increasingly recognized as a major source of biodiversity. Yet, whether it can create advantageous trait combinations while purging harmful alleles remains unknown. We studied Arabis nemorensis and A. sagittata, two endangered species that currently hybridize in a single hotspot. We measured 22 phenotypic traits and mapped their genetic basis in an F2 population, after generating high quality genome assemblies for both species. In total, 58 QTLs were identified for 20 traits, with additive and dominance effects best fitting Gaussian and logistic distributions, respectively. Six large-effect QTLs were linked to significant hybrid fitness loss. Two genomic regions showed strong transmission bias favoring A. sagittata alleles, potentially accelerating their introgression. However, 48% of QTLs were unlinked to reduced fitness or segregation distortion and may generate genotypes exceeding parental performance. Notably, a major QTL affecting flowering time explained 23% of phenotypic variation and implicated TFL1 as a candidate gene for life history adaptation. While most QTLs lacked overlap with past selective sweeps, indicating limited recent positive selection, 5 of 7 QTLs for rosette size overlapped with sweep signatures in the parental lineages. Overall, our findings offer unique insights into incipient stages of hybridization.

evolutionary biology↗

bioRxiv2025

Genomic basis of adaptation to serpentine soil in two Alyssum species shows convergence with Arabidopsis across 20 million years of divergence

Background and AimsSerpentine outcrops, characterized by low nutrient availability, high heavy metal concentrations, propensity to drought, and island-like distributions, offer valuable systems to study parallelisms in repeated adaptation to extreme environments. While shared phenotypic manifestation of adaptation to serpentine environments has been investigated in many species, it is still unclear whether there may be a common genetic basis underlying such responses. Here we assess local adaptation to serpentine soil and infer the parallel genetic signatures of local adaptation to serpentine environments in two thus far unexplored closely related species, Alyssum gmelinii and Alyssum spruneri (Brassicaceae). Then we measure gene- and function-level convergence with the previously explored Arabidopsis arenosa, to reveal candidate shared adaptive strategies within Brassicaceae. MethodsWe tested for adaptation using a reciprocal substrate-transplant experiment in A. gmelinii. Then, after assembling a reference genome, we generated population-level sequencing data of four population pairs and performed genome scans for directional selection to infer serpentine adaptive candidate genes in Alyssum. Finally, we compared candidate gene lists with those inferred in similar experiments in Arabidopsis arenosa and used protein-protein interaction networks to discern functional convergence in serpentine adaptation. Key ResultsIndependent colonization of serpentine environments by Alyssum populations is associated with footprints of selection on genes related to ion transport and homeostasis, nutrient and water uptake, and life-history traits related to germination and reproduction. Reciprocal transplant experiments demonstrated that adapted plants germinate sooner and exhibit better growth in serpentine conditions while excluding heavy metals and increasing Ca uptake in their tissues. Finally, a significant fraction of such genes and molecular pathways is shared with Arabidopsis arenosa. ConclusionsWe show that genetic adaptation to the multi-factorial challenge imposed by serpentine environments involves key pathways that are shared not only between closely related species, but also between Brassicaceae tribes of [~]20 Mya divergence.

evolutionary biology↗

bioRxiv2024

Steep logarithmic increase of genetic variation in natural Arabidopsis thaliana accessions across geographic scales

Arabidopsis thalianas large native range across Eurasia and display of considerable genetic variation is key to its increasing use in eco-evolutionary studies. The structure and amount of this genetic variation has been studied on various geographic scales. On a continental scale, the genetic variation was postulated to follow an isolation by distance model, implying less genetic variation at smaller geographic distances. However, recent studies showed that the genetic variation is already high on small geographic scales, yet direct comparisons of the genetic variation across different geographic scales are rare. Here, we present a new local diversity panel covering 19 km2 with accessions of the Veluwe, the Netherlands. We compared the genetic variation of this local diversity panel to a national and a continental A. thaliana diversity panel. Direct comparison of these three geographic scales showed that local accessions harbour already 41.8% of the genetic variation found on a continental scale despite the substantial difference in geographic surface area covered. Moreover, a rapidly ascending logarithmic relationship between genetic and geographic distances was observed at continental, national and local scale and thus irrespective of the geographic scale considered. The high level of local genetic variation reported here poses new questions on which evolutionary forces are driving and maintaining this, and how much this constrains experimental design when using local A. thaliana populations in future eco-evolutionary studies.

genetics↗

bioRxiv2022

Plethora of QTLs found in Arabidopsis thaliana reveals complexity of genetic variation for photosynthesis in dynamic light conditions

The environments in which plant species evolved are now generally understood to be dynamic rather than static. Photosynthesis has to operate within these dynamic environments, such as sudden changes to light intensities. Plants have evolved photoprotection mechanisms that prevent damage caused by sudden changes to high light intensities. The extent of genetic variation within plants species to deal with these dynamic light conditions remains largely unexplored. Here we show that one accession of A. thaliana has a more efficient photoprotection mechanism in dynamic light conditions, compared to six other accessions. The construction of a doubled haploid population and subsequent phenotyping in a dynamically controlled high-throughput system reveals up to 15 QTLs for photoprotection. Identifying the causal gene underlying one of the major QTLs shows that an allelic variant of cpFtsY results in more efficient photoprotection under high and fluctuating light intensities. Further analyses reveal this allelic variant to be overprotecting, reducing biomass in a range of dynamic environmental conditions. This suggests that within nature, adaptation can occur to more stressful environments and that revealing the causal genes and mechanisms can help improve the general understanding of photosynthetic functioning. The other QTLs possess different photosynthetic properties, and thus together they show how there is ample intraspecific genetic variation for photosynthetic functioning in dynamic environments. With photosynthesis being one of the last unimproved components of crop yield, this amount of genetic variation for photosynthesis forms excellent input for breeding approaches. In these breeding approaches, the interactions with the environmental conditions should however be precisely assessed. Doing so correctly, allows us to tap into natures solution to challenging environmental conditions.

plant biology↗

bioRxiv2019

Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing data

Copy number variation (CNV) is thought to actively contribute to adaptive evolution of plant species. While many computational algorithms are available to detect copy number variation from whole genome sequencing datasets, the typical complexity of plant data likely introduces false positive calls.\n\nTo enable reliable and comprehensive detection of CNV in plant genomes, we developed Hecaton, a novel computational workflow tailored to plants, that integrates calls from multiple state-of-the-art algorithms through a machine-learning approach. In this paper, we demonstrate that Hecaton outperforms current methods when applied to short read sequencing data of A. thaliana, rice, maize, and tomato. Moreover, it correctly detects dispersed duplications, a type of CNV commonly found in plant species, in contrast to several state-of-the-art tools that erroneously represent this type of CNV as overlapping deletions and tandem duplications. Finally, Hecaton scales well in terms of memory usage and running time when applied to short read datasets of domesticated and wild tomato accessions. Hecaton provides a robust method to detect CNV in plants. We expect it to be of immediate interest to both applied and fundamental research on the relationship between genotype and phenotype in plants.

bioinformatics↗