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HPLC analysis was used to examine the cytosine methylation of total DNA extracted from four early-flowering lines that were induced by treating germinating seeds of flax (Linum usitatissimum) with the DNA demethylating agent 5-azacytidine. In the normal lines that gave rise to the induced early-flowering lines, flowering usually begins approximately 50 days after sowing. The early-flowering lines flower 7-13 days earlier than normal. The normal level of cytosine methylation was approximately 14% of the cytosines and 2.7% of the nucleosides. In the early-flowering lines, these levels were 6.2% lower than normal in DNA from the terminal leaf clusters of 14-day-old seedlings and 9.7% lower than normal in DNA from the cotyledons and immature shoot buds of 4-day-old seedlings. This hypomethylation was seen in lines that were five to nine generations beyond the treatment generation. The level of hypomethylation was similar in three of the four early-flowering lines, but was not as low in the fourth line, which flowers early but not quite as early as the other three lines. Unexpectedly, the degree of hypomethylation seen in segregant lines, derived by selecting for the early-flowering phenotype in the F(2) and F(3) generations of out-crosses, was similar to that seen in the early-flowering lines. Analysis of the methylation levels in segregating generations of out-crosses between early-flowering and normal lines demonstrated a decrease in methylation level during the selection of early-flowering segregants. The results suggest an association between hypomethylation and the early-flowering phenotype, and that the hypomethylated regions may not be randomly distributed throughout the genome of the early-flowering lines.

BackgroundSweet cherry (Prunus avium L.), a non-model crop with narrow genetic diversity, is an important member of sub-family Amygdoloideae within Rosaceae. Compared to other important members like peach and apple, sweet cherry lacks in genetic and genomic information, impeding understanding of important biological processes and development of efficient breeding approaches. Availability of single nucleotide polymorphism (SNP)-based molecular markers can greatly benefit breeding efforts in such non-model species. RNA-seq approaches employing second generation sequencing platforms offer a unique avenue to rapidly identify gene-based SNPs. Additionally, haplotype markers can be rapidly generated from transcript-based SNPs since they have been found to be extremely utile in identification of genetic variants related to health, disease and response to environment as highlighted by the human HapMap project.ResultsRNA-seq was performed on two sweet cherry cultivars, Bing and Rainier using a 3' untranslated region (UTR) sequencing method yielding 43,396 assembled contigs. In order to test our approach of rapid identification of SNPs without any reference genome information, over 25% (10,100) of the contigs were screened for the SNPs. A total of 207 contigs from this set were identified to contain high quality SNPs. A set of 223 primer pairs were designed to amplify SNP containing regions from these contigs and high resolution melting (HRM) analysis was performed with eight important parental sweet cherry cultivars. Six of the parent cultivars were distantly related to Bing and Rainier, the cultivars used for initial SNP discovery. Further, HRM analysis was also performed on 13 seedlings derived from a cross between two of the parents. Our analysis resulted in the identification of 84 (38.7%) primer sets that demonstrated variation among the tested germplasm. Reassembly of the raw 3'UTR sequences using upgraded transcriptome assembly software yielded 34,620 contigs containing 2243 putative SNPs in 887 contigs after stringent filtering. Contigs with multiple SNPs were visually parsed to identify 685 putative haplotypes at 335 loci in 301 contigs.ConclusionsThis approach, which leverages the advantages of RNA-seq approaches, enabled rapid generation of gene-linked SNP and haplotype markers. The general approach presented in this study can be easily applied to other non-model eukaryotes irrespective of the ploidy level to identify gene-linked polymorphisms that are expected to facilitate efficient Gene Assisted Breeding (GAB), genotyping and population genetics studies. The identified SNP haplotypes reveal some of the allelic differences in the two sweet cherry cultivars analyzed. The identification of these SNP and haplotype markers is expected to significantly improve the genomic resources for sweet cherry and facilitate efficient GAB in this non-model crop.

CRISPR/Cas9 has evolved and transformed the field of biology at an unprecedented pace. From the initial purpose of introducing a site specific mutation within a genome of choice, this technology has morphed into enabling a wide array of molecular applications, including site-specific transgene insertion and multiplexing for the simultaneous induction of multiple cleavage events. Efficiency, specificity, and flexibility are key attributes that have solidified CRISPR/Cas9 as the genome-editing tool of choice by scientists from all areas of biology. Within the field of plant biology, several CRISPR/Cas9 technologies, developed in other biological systems, have been successfully implemented to probe plant gene function and to modify specific crop traits. It is anticipated that this trend will persist and lead to the development of new applications and modifications of the CRISPR technology, adding to an ever-expanding collection of genome-editing tools. We envision that these tools will bestow plant researchers with new utilities to alter genome complexity, engineer site-specific integration events, control gene expression, generate transgene-free edited crops, and prevent or cure plant viral disease. The successful implementation of such utilities will represent a new frontier in plant biotechnology.