Correction to: A high-quality cucumber genome assembly enhances computational comparative genomics.

The authors would like to correct the citation for the North European B10 line.

A high-quality cucumber genome assembly enhances computational comparative genomics.

Genetic variation is expressed by the presence of polymorphisms in compared genomes of individuals that can be transferred to next generations. The aim of this work was to reveal genome dynamics by predicting polymorphisms among the genomes of three individuals of the highly inbred B10 cucumber (Cucumis sativus L.) line. In this study, bioinformatic comparative genomics was used to uncover cucumber genome dynamics (also called real-time evolution). We obtained a new genome draft assembly from long single molecule real-time (SMRT) sequencing reads and used short paired-end read data from three individuals to analyse the polymorphisms. Using this approach, we uncovered differentiation aspects in the genomes of the inbred B10 line. The newly assembled genome sequence (B10v3) has the highest contiguity and quality characteristics among the currently available cucumber genome draft sequences. Standard and newly designed approaches were used to predict single nucleotide and structural variants that were unique among the three individual genomes. Some of the variant predictions spanned protein-coding genes and their promoters, and some were in the neighbourhood of annotated interspersed repetitive elements, indicating that the highly inbred homozygous plants remained genetically dynamic. This is the first bioinformatic comparative genomics study of a single highly inbred plant line. For this project, we developed a polymorphism prediction method with optimized precision parameters, which allowed the effective detection of small nucleotide variants (SNVs). This methodology could significantly improve bioinformatic pipelines for comparative genomics and thus has great practical potential in genomic metadata handling.

Next generation sequencing and omics in cucumber (Cucumis sativus L.) breeding directed research.

In the post-genomic era the availability of genomic tools and resources is leading us to novel generation methods in plant breeding, as they facilitate the study of the genotype and its relationship with the phenotype, in particular for complex traits. In this study we have mainly concentrated on the Cucumis sativus and (but much less) Cucurbitaceae family several important vegetable crops. There are many reports on research conducted in Cucurbitaceae plant breeding programs on the ripening process, phloem transport, disease resistance, cold tolerance and fruit quality traits. This paper presents the role played by new omic technologies in the creation of knowledge on the mechanisms of the formation of the breeding features. The analysis of NGS (NGS-next generation sequencing) data allows the discovery of new genes and regulatory sequences, their positions, and makes available large collections of molecular markers. Genome-wide expression studies provide breeders with an understanding of the molecular basis of complex traits. Firstly a high density map should be created for the reference genome, then each re-sequencing data could be mapped and new markers brought out into breeding populations. The paper also presents methods that could be used in the future for the creation of variability and genomic modification of the species in question. It has been shown also the state and usefulness in breeding the chloroplastomic and mitochondriomic study.

Karyotype analysis and chromosomal distribution of repetitive DNA sequences of cucumis metuliferus using fluorescence in situ hybridization.

Cucumis metuliferus (2n = 24) is a cultivated species of the Cucumis genus which is a potential genetic resource for Cucumis crops. Although some cytogenetic research has been reported, there is no study of karyotyping in this species. Here, we used 4',6-diamidino-2-phenylindole and chromomycin A3 staining to identify 12 pairs of chromosomes in early-metaphase cells. Fluorescence in situ hybridization revealed the chromosomal distribution patterns of the 5S and 45S ribosomal DNA (rDNA) genes, telomeres, and 3 different satellite repeats. The 2 major signals of the 45S rDNA were located on the satellite of chromosome 11, and the 2 signals of the 5S rDNA and 2 minor signals of the 45S rDNA were located on chromosome 12. The telomere probes hybridized to the ends of all chromosomes. The 3 satellite DNAs were localized at the ends of chromosomes 1, 2, 4-10, and at the end of the short arm of chromosome 3. In summary, we reported the identification of all chromosomes of C. metuliferus. We also depicted the location of 5S and 45S rDNA, the telomere motif sequence, CmetSat1, CmetSatT2, and CmetmSat1 in an ideogram.