Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Permanent URI for this collectionhttps://hdl.handle.net/11147/9
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Article Citation - WoS: 40Citation - Scopus: 46Genome-Wide Snp Discovery and Qtl Mapping for Fruit Quality Traits in Inbred Backcross Lines (ibls) of Solanum Pimpinellifolium Using Genotyping by Sequencing(BioMed Central Ltd., 2017) Çelik, İbrahim; Gürbüz, Nergiz; Uncu, Ali Tevfik; Frary, Anne; Doğanlar, SamiBackground: Solanum pimpinellifolium has high breeding potential for fruit quality traits and has been used as a donor in tomato breeding programs. Unlocking the genetic potential of S. pimpinellifolium requires high-throughput polymorphism identification protocols for QTL mapping and introgression of favourable alleles into cultivated tomato by both positive and background selection. Results: In this study we identified SNP loci using a genotyping by sequencing (GBS) approach in an IBL mapping population derived from the cross between a high yielding fresh market tomato and S. pimpinellifolium (LA1589) as the recurrent and donor parents, respectively. A total of 120,983,088 reads were generated by the Illumina HiSeq next-generation sequencing platform. From these reads 448,539 sequence tags were generated. A majority of the sequence tags (84.4%) were uniquely aligned to the tomato genome. A total of 3.125 unique SNP loci were identified as a result of tag alignment to the genome assembly and were used in QTL analysis of 11 fruit quality traits. As a result, 37 QTLs were identified. S. pimpinellifolium contributed favourable alleles for 16 QTLs (43.2%), thus confirming the high breeding potential of this wild species. Conclusions: The present work introduced a set of SNPs at sufficiently high density for QTL mapping in populations derived from S. pimpinellifolium (LA1589). Moreover, this study demonstrated the high efficiency of the GBS approach for SNP identification, genotyping and QTL mapping in an interspecific tomato population.Article Citation - WoS: 13Citation - Scopus: 22Development of a Snp-Based Caps Assay for the Me1 Gene Conferring Resistance To Root Knot Nematode in Pepper(Springer Verlag, 2015) Uncu, Ali Tevfik; Çelik, İbrahim; Devran, Zübeyir; Frary, Anne; Frary, Amy; Doğanlar, SamiRoot knot nematodes (Meloidogyne spp.) are significant agricultural pests on many crops, including pepper (Capsicum annuum). Host plant resistance offers the most sustainable means of controlling this pest. A cluster of genes on chromosome 9 confers resistance, with Me1 providing protection against three nematode species: M. incognita, M. javanica and M. arenaria. We describe the development of a codominant CAPS marker located 1.13 cM away from the Me1 gene. This marker should be useful for marker assisted selection of nematode resistance in pepper breeding programs.Article Citation - WoS: 9Citation - Scopus: 10A Primer To Molecular Phylogenetic Analysis in Plants(Taylor and Francis Ltd., 2015) Uncu, Ayşe Özgür; Uncu, Ali Tevfik; Çelik, İbrahim; Doğanlar, Sami; Frary, AnneReconstructing a tree of life by inferring evolutionary history is an important focus of evolutionary biology. Phylogenetic reconstructions also provide useful information for a range of scientific disciplines such as botany, zoology, phylogeography, archaeology and biological anthropology. Until the development of protein and DNA sequencing techniques in the 1960s and 1970s, phylogenetic reconstructions were based on fossil records and comparative morphological/physiological analyses. Since then, progress in molecular phylogenetics has compensated for some of the shortcomings of phenotype-based comparisons. Comparisons at the molecular level increase the accuracy of phylogenetic inference because there is no environmental influence on DNA/peptide sequences and evaluation of sequence similarity is not subjective. While the number of morphological/physiological characters that are sufficiently conserved for phylogenetic inference is limited, molecular data provide a large number of datapoints and enable comparisons from diverse taxa. Over the last 20 years, developments in molecular phylogenetics have greatly contributed to our understanding of plant evolutionary relationships. Regions in the plant nuclear and organellar genomes that are optimal for phylogenetic inference have been determined and recent advances in DNA sequencing techniques have enabled comparisons at the whole genome level. Sequences from the nuclear and organellar genomes of thousands of plant species are readily available in public databases, enabling researchers without access to molecular biology tools to investigate phylogenetic relationships by sequence comparisons using the appropriate nucleotide substitution models and tree building algorithms. In the present review, the statistical models and algorithms used to reconstruct phylogenetic trees are introduced and advances in the exploration and utilization of plant genomes for molecular phylogenetic analyses are discussed.