Biology subjects

Finkers, R.

Publications and source records attributed to Finkers, R..

10 recordsLinked to original sources

bioRxiv2023

Chromosome level assembly of wild spinach provides insights into the divergence of homo- and heteromorphic plant sex-chromosomes.

BackgroundCultivated spinach (Spinacia oleracea) is a highly nutritional crop species of great economical value that belongs to a genus of dioecious plant species with both homomorphic and heteromorphic sex chromosomes. The wild spinach species Spinacia turkestanica and Spinacia tetrandra are important genetic sources for improving cultivated spinach and excellent material for studying sex chromosome evolution in plants. However, until now there were no publicly available genome assemblies for these species. ResultsHere we sequenced and assembled the genomes of S. turkestanica and S. tetrandra and performed a tri-way comparative analysis with S. oleracea. We show that many abiotic- and biotic stress related gene clusters have expanded through tandem duplication in S. tetrandra after it diverged from the S. turkestanica - S. oleracea lineage. Focussing on the sex chromosomes we found that the previously identified inversion distinguishing the S. oleracea male- and female-SEX DETERMINING REGIONs (SDRs) is conserved in S. turkestanica. Although, the SDRs of these two species coincides with the PSEUDO AUTOSOMAL REGION of S. tetrandra the gene content is only partially conserved and the genetic factors determining sex in these species might differ. Finally, we show that recombination suppression between the S. tetrandra X- and Y-chromosomes resulted in a highly degenerated Y-chromosome and started before the species diverged from S. turkestanica and S. oleracea. ConclusionsWe expect that the novel wild spinach species genomes are of great value to the breeding community and evolutionary biologist especially focussing on the evolution of sex chromosomes in plants.

evolutionary biology↗

bioRxiv2022

Chromosome-scale genome assemblies of five different Brassica oleracea morphotypes provide insights in intraspecific diversification

Brassica oleracea is an economically important vegetable and fodder crop species that includes many morphotypes exhibiting enormous phenotypic variations. Previously, a pan-genome study based on short reads mapping approach has shown extensive structural variations between B. oleracea morphotypes. Here, to capture more complete genome sequences of B. oleracea, we report new chromosome-scale genome assemblies for five different morphotypes, namely broccoli, cauliflower, kale, kohlrabi and white cabbage, which were created by combining long-read sequencing data and Bionano DLS optical maps. The five assemblies are the most continuous and complete B. oleracea genomes to date (contig N50 > 10 Mb). Comparative analysis revealed both highly syntenic relationships and extensive structural variants among the five genomes. Dispensable and specific gene clusters accounted for ~38.19% of total gene clusters based on a pan-genome analysis including our five newly assembled genomes and four previously reported genomes. Using the pan-genome of B. oleracea and B. rapa, we revealed their different evolutionary dynamics of LTR-RTs. Furthermore, we inferred the ancestral genome of B. oleracea and the common ancestral genome of B. oleracea and B. rapa via a pan-genome approach. We observed faster WGT-derived gene loss in B. rapa than in B. oleracea before intraspecific diversification. We also revealed continuing gene loss bias during intraspecific diversification of the two species and a strong bias towards losing only one copy among the three paralogous genes. This study provides valuable genomic resources for B. oleracea improvement and insights towards understanding genome evolution during the intraspecific diversification of B. oleracea and B. rapa.

genomics↗

bioRxiv2022

Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data

Potato is one of the worlds major staple crops and like many important crop plants it has a polyploid genome. Polyploid haplotype assembly poses a major computational challenge, hindering the use of genomic data in breeding strategies. Here, we introduce a novel strategy for the assembly of polyploid genomes and present an assembly of the autotetraploid potato cultivar Altus. Our method uses low-depth sequencing data from an offspring population, which is available in many plant breeding settings, to achieve chromosomal clustering and haplotype phasing directly on the assembly graph. This involves a novel strategy for the analysis of k-mers unique to specific graph nodes. Our approach generates assemblies of individual chromosomes with phased haplotig N50 values of up to 13 Mb and haplotig lengths of up to 31 Mb. This major advance provides high-quality assemblies with haplotype-specific sequence resolution of whole chromosome arms and can be applied in common breeding scenarios where collections of offspring are available.

genomics↗

bioRxiv2021

European Vintage tomatoes galore: a result of farmers combinatorial assorting/swapping of a few diversity rich loci

A comprehensive collection of 1,254 tomato accessions corresponding to European heirlooms and landraces, together with modern varieties, early domesticates and wild relatives, were analyzed by genotyping by sequencing. A continuous genetic gradient between the vintage and modern varieties was observed. European vintage tomatoes displayed very low genetic diversity, with only 298 loci out of 64,943 variants being polymorphic at the 95% threshold. European vintage tomatoes could be classified in several genetic groups. Two main clusters consisting of Spanish and Italian accessions showed a higher genetic diversity than the rest varieties, suggesting that these regions might be independent secondary centers of diversity and with a different history. Other varieties seem to be the result of a more recent complex pattern of migrations and hybridizations among the European regions. Several polymorphic loci were associated in a GWAS with fruit morphological traits in the European vintage collection, and the corresponding alleles were found to contribute to the distinctive phenotypic characteristic of the genetic varietal groups. The few highly polymorphic loci associated with morphological traits in an otherwise diversity-poor genome suggests a history of balancing selection, in which tomato farmers maintained the morphological variation by applying a high selective pressure within different varietal types. HighlightThe high phenotypic diversity observed among European vintage varieties was created by traditional farmers by combining very few polymorphic loci subjected to balancing selection.

plant biology↗

bioRxiv2021

De novo whole-genome assembly of Chrysanthemum makinoi, a key wild ancestor to hexaploid Chrysanthemum

Chrysanthemum is among the top ten cut, potted and perennial garden flowers in the world. Despite this, to date, only the genomes of two wild diploid chrysanthemums have been sequenced and assembled. Here we present the most complete and contiguous chrysanthemum de novo assembly published so far, as well as a corresponding ab initio annotation. The wild diploid Chrysanthemum makinoi is thought to be one of the ancestors of the cultivated hexaploid varieties which are currently grown all around the world. Using a combination of Oxford Nanopore long reads, Pacific Biosciences long reads, Illumina short reads, Dovetail sequences and a genetic map, we assembled 3.1 Gb of its sequence into 9 pseudochromosomes, with an N50 of 330 Mb and BUSCO complete score of 92.1%. Our ab initio annotation pipeline predicted 95 074 genes and marked 80.0% of the genome as repetitive. This genome assembly of C. makinoi provides an important step forward in understanding the chrysanthemum genome, evolution and history.

genomics↗

bioRxiv2021

Insights from the first genome assembly of Onion (Allium cepa)

Onion is an important vegetable crop with an estimated genome size of 16Gb. We describe the de novo assembly and ab initio annotation of the genome of a doubled haploid onion line DHCU066619, which resulted in a final assembly of 14.9 Gb with a N50 of 461 Kb. Of this, 2.2 Gb was ordered into 8 pseudomolecules using five genetic linkage maps. The remainder of the genome is available in 89.8 K scaffolds. Only 72.4% of the genome could be identified as repetitive sequences and consist, to a large extent, of (retro) transposons. In addition, an estimated 20% of the putative (retro) transposons had accumulated a large number of mutations, hampering their identification, but facilitating their assembly. These elements are probably already quite old. The ab initio gene prediction indicated 540,925 putative gene models, which is far more than expected, possibly due to the presence of pseudogenes. Of these models, 86,073 showed similarity to published proteins (UNIPROT). No gene rich regions were found, genes are uniformly distributed over the genome. Analysis of synteny with A. sativum (garlic) showed collinearity but also major rearrangements between both species. This assembly is the first high-quality genome sequence available for the study of onion and will be a valuable resource for further research.

genomics↗

bioRxiv2018

Haplotype assembly of autotetraploid potato using integer linear programming

Haplotype assembly of polyploids is an open issue in plant genomics. Recent experimental studies on highly heterozygous autotetraploid potato have shown that available methods are not delivering satisfying results in practice. We propose an optimal method to assemble haplotypes of highly heterozygous polyploids from Illumina short sequencing reads. Our method is based on a generalization of the existing minimum fragment removal (MFR) model to the polyploid case and on new integer linear programs (ILPs) to reconstruct optimal haplotypes. We validate our methods experimentally by means of a combined evaluation on simulated and real data based on 83 previously sequenced autotetraploid potato cultivars. Results on simulated data show that our methods produce highly accurate haplotype assemblies, while results on real data confirm a sensible improvement over the state of the art. Binaries for Linux are available at: http://github.com/ComputationalGenomics/HaplotypeAssembler.

bioinformatics↗

bioRxiv2018

Family-based haplotype estimation and allele dosage correction for polyploids using short sequence reads

DNA sequence reads contain information about the genomic variants located on a single chromosome. By extracting and extending this information (using the overlaps of the reads), the haplotypes of an individual can be obtained. Adding parent-offspring relationships to the read information in a population can considerably improve the quality of the haplotypes obtained from short reads, as pedigree information can compensate for spurious overlaps (due to sequencing errors) and insufficient overlaps (due to shallow coverage). This improvement is especially beneficial for polyploid organisms, which have more than two copies of each chromosome and are therefore more difficult to be haplotyped compared to diploids. We develop a novel method, PopPoly, to estimate polyploid haplotypes in an F1-population from short sequence data by considering the transmission of the haplotypes from the parents to the offspring. In addition, PopPoly employs this information to improve genotype dosage estimation and to call missing genotypes in the population. Through realistic simulations, we compare PopPoly to other haplotyping methods and show its better performance in terms of phasing accuracy and the accuracy of phased genotypes. We apply PopPoly to estimate the parental and offspring haplotypes for a tetraploid potato cross with 10 offspring, using Illumina HiSeq sequence data of 9 genomic regions involved in plant maturity and tuberisation.

bioinformatics↗

bioRxiv2017

TriPoly: a haplotype estimation approach for polyploids using sequencing data of related individuals

Knowledge of \"haplotypes\", i.e. phased and ordered marker alleles on a chromosome, is essential to answer many questions in genetics and genomics. By generating short pieces of DNA sequence, high-throughput modern sequencing technologies make estimation of haplotypes possible for single individuals. In polyploids, however, haplotype estimation methods usually require deep coverage to achieve sufficient accuracy. This often renders sequencing-based approaches too costly to be applied to large populations needed in studies of Quantitative Trait Loci (QTL).\n\nWe propose a novel haplotype estimation method for polyploids, TriPoly, that combines sequencing data with Mendelian inheritance rules to infer haplotypes in parent-offspring trios. Using realistic simulations of short- read sequencing data for potato (Solanum tuberosum) and banana (Musa acuminata) trios, we show that TriPoly yields more accurate progeny haplotypes at low coverages compared to the existing methods that work on single individuals.

bioinformatics↗

bioRxiv2016

Exploiting Next Generation Sequencing to solve the Haplotyping puzzle in Polyploids: a Simulation study

Haplotypes are the units of inheritance in an organism, and many genetic analyses depend on their precise determination. Methods for haplotyping single individuals use the phasing information available in Next Generation sequencing reads, by matching overlapping sNPs while penalizing post hoc nucleotide corrections made. Haplotyping diploids is relatively easy, but the complexity of the problem increases drastically for polyploid genomes, which are found in both model organisms and in economically relevant plant and animal species. While a number of tools are available for haplotyping polyploids, the effects of the genomic makeup and the sequencing strategy followed on the accuracy of these methods have hitherto not been thoroughly evaluated.\n\nWe developed the simulation pipeline haplosim to evaluate the performance of haplotype estimation algorithms for polyploids: HapCompass, HapTree and SDhaP, in settings varying in sequencing approach, ploidy levels and genomic diversity, using tetraploid potato as the model. Our results show that sequencing depth is the major determinant of haplotype estimation quality, that 1kb PacBio CCS reads and Illumina reads with large insert-sizes are competitive, and that all methods fail to produce good haplotypes when ploidy levels increase. Comparing the three methods, HapTree produces the most accurate estimates, but also consumes the most resources. There is clearly room for improvement in polyploid haplotyping algorithms.

bioinformatics↗