Development of Electrochemical Oscillation Method for Identification of Prunus persica, Prunus davidiana, and Prunus armeniaca Nuts
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ABSTRACT:
SUBMITTER: Yan S
PROVIDER: S-EPMC7516034 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
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Project description:The major quantitative trait loci qGPAR-3-1 controlling green peach aphid resistance in Prunus davidiana Zhouxingshantao 1 and its inheritance
| PRJNA338218 | ENA
Project description:Microarray analysis is a technique that can be employed to provide expression profiles of single genes and a new insight to elucidate the biological mechanisms responsible for fruit development. To evaluate expression of genes mostly engaged in fruit development between P. mume and P. armeniaca, we first identified differentially expressed transcripts along the entire fruit life cycle by using microarrays spotted with 10,641 ESTs collected from P. mume and other Prunus EST sequences. A total of 1,418 ESTs were selected after quality control of microarray spots and analyzed for differential gene expression patterns during fruit development of P. mume and P. armeniaca. Among them, 707 up-regulated and 711 down-regulated differentially expressed genes showing more than 2.0-fold differences in expression level were annotated by GO based on biological processes, molecular functions and cellular components. These differentially expressed genes were found to be involved in several important pathways of carbohydrate metabolism, galactose metabolism, starch and sucrose metabolism, and biosynthesis of other secondary metabolites via KEGG, which could provide detailed information on the fruit quality differences during development and ripening. With the obtained results, we provide a practical database for comprehensive understanding of molecular events during fruit development and also lay the theoretical foundation for the cloning of genes involved in a series of important rate-limiting enzymes in the vital metabolic pathways during the fruit development.
2012-05-13 | GSE37950 | GEO
Project description:BackgroundMicroRNAs (miRNAs) are small RNAs (sRNAs) approximately 21 nucleotides in length that negatively control gene expression by cleaving or inhibiting the translation of target gene transcripts. Within this context, miRNAs and siRNAs are coming to the forefront as molecular mediators of gene regulation in plant responses to annual temperature cycling and cold stress. For this reason, we chose to identify and characterize the conserved and non-conserved miRNA component of peach (Prunus persica (L.) Batsch) focusing our efforts on both the recently released whole genome sequence of peach and sRNA transcriptome sequences from two tissues representing non-dormant leaves and dormant leaf buds. Conserved and non-conserved miRNAs, and their targets were identified. These sRNA resources were used to identify cold-responsive miRNAs whose gene targets co-localize with previously described QTLs for chilling requirement (CR).ResultsAnalysis of 21 million peach sRNA reads allowed us to identify 157 and 230 conserved and non-conserved miRNA sequences. Among the non-conserved miRNAs, we identified 205 that seem to be specific to peach. Comparative genome analysis between peach and Arabidopsis showed that conserved miRNA families, with the exception of miR5021, are similar in size. Sixteen of these conserved miRNA families are deeply rooted in land plant phylogeny as they are present in mosses and/or lycophytes. Within the other conserved miRNA families, five families (miR1446, miR473, miR479, miR3629, and miR3627) were reported only in tree species (Populustrichocarpa, Citrus trifolia, and Prunus persica). Expression analysis identified several up-regulated or down-regulated miRNAs in winter buds versus young leaves. A search of the peach proteome allowed the prediction of target genes for most of the conserved miRNAs and a large fraction of non-conserved miRNAs. A fraction of predicted targets in peach have not been previously reported in other species. Several conserved and non-conserved miRNAs and miRNA-regulated genes co-localize with Quantitative Trait Loci (QTLs) for chilling requirement (CR-QTL) and bloom date (BD-QTL).ConclusionsIn this work, we identified a large set of conserved and non-conserved miRNAs and describe their evolutionary footprint in angiosperm lineages. Several of these miRNAs were induced in winter buds and co-localized with QTLs for chilling requirement and bloom date thus making their gene targets potential candidates for mediating plant responses to cold stress. Several peach homologs of genes participating in the regulation of vernalization in Arabidopsis were identified as differentially expressed miRNAs targets, potentially linking these gene activities to cold responses in peach dormant buds. The non-conserved miRNAs may regulate cellular, physiological or developmental processes specific to peach and/or other tree species.
| S-EPMC3463484 | biostudies-literature
Project description:Microarray analysis is a technique that can be employed to provide expression profiles of single genes and a new insight to elucidate the biological mechanisms responsible for fruit development. To evaluate expression of genes mostly engaged in fruit development between P. mume and P. armeniaca, we first identified differentially expressed transcripts along the entire fruit life cycle by using microarrays spotted with 10,641 ESTs collected from P. mume and other Prunus EST sequences. A total of 1,418 ESTs were selected after quality control of microarray spots and analyzed for differential gene expression patterns during fruit development of P. mume and P. armeniaca. Among them, 707 up-regulated and 711 down-regulated differentially expressed genes showing more than 2.0-fold differences in expression level were annotated by GO based on biological processes, molecular functions and cellular components. These differentially expressed genes were found to be involved in several important pathways of carbohydrate metabolism, galactose metabolism, starch and sucrose metabolism, and biosynthesis of other secondary metabolites via KEGG, which could provide detailed information on the fruit quality differences during development and ripening. With the obtained results, we provide a practical database for comprehensive understanding of molecular events during fruit development and also lay the theoretical foundation for the cloning of genes involved in a series of important rate-limiting enzymes in the vital metabolic pathways during the fruit development. Fruits from 4 cultivar at different stages, replicated 2 times
2012-05-12 | E-GEOD-37950 | biostudies-arrayexpress
Project description:LncRNAs represent a class of RNA transcripts of more than 200 nucleotides (nt) in length without discernible protein-coding potential. The expression levels of lncRNAs are significantly affected by stress or developmental cues. Recent studies have shown that lncRNAs participate in fruit development and ripening processes in tomato and strawberry; however, in other fleshy fruits, the association between lncRNAs and fruit ripening remains largely elusive. Here, we constructed 9 ssRNA-Seq libraries from three different peach (Prunus persica) fruit developmental stages comprising the first and second exponential stages and the fruit-ripening stage. In total, 1500 confident lncRNAs from 887 loci were obtained according to the bioinformatics analysis. The lncRNAs identified in peach fruits showed distinct characteristics compared with protein-coding mRNAs, including lower expression levels, lower complexity of alternative splicing, shorter isoforms and smaller numbers of exons. Expression analysis identified 575 differentially expressed lncRNAs (DELs) classified into 6 clusters, among which members of Clusters 1, 2, 4 and 5 were putatively associated with fruit development and ripening processes. Quantitative real-time PCR revealed that the DELs indeed had stage-specific expression patterns in peach fruits. GO and KEGG enrichment analysis revealed that DELs might be associated with fruit-ripening-related physiological and metabolic changes, such as flavonoid biosynthesis, fruit texture softening, chlorophyll breakdown and aroma compound accumulation. Finally, the similarity analysis of lncRNAs within different plant species indicated the low sequence conservation of lncRNAs. Our study reports a large number of fruit-expressed lncRNAs and identifies fruit development phase-specific expressed lncRNA members, which highlights their potential functions in fruit development and ripening processes and lays the foundations for future functional research.
| S-EPMC9247041 | biostudies-literature
Project description:Peach latent mosaic viroid (PLMVd) is a small, single-stranded, circular RNA pathogen that infects Prunus persica trees. As with all other known viroids, the PLMVd genome does not encode any proteins. Consequently, it must interact with host cellular factors in order to ensure its life cycle. With the objective of identifying cellular proteins that interact with PLMVd, Northwestern hybridizations were performed using partially purified peach leaf extracts. Mass spectrometric analysis of the detected RNA-protein complexes led to the identification of six putative RNA-binding proteins. One of these was found to be elongation factor 1-alpha (eEF1A), and because of its known involvement in the replication and translation of various RNA viruses, further characterizations were performed. Initially, the existence of this interaction received support from an experiment that immunoprecipitated the eEF1A from a crude extract of infected peach leaves, coupled with reverse transcription-PCR detection of the PLMVd. Subsequently, eEF1A interaction with PLMVd strands of both polarities was confirmed in vitro by electrophoresis mobility shift assays, fluorescence spectroscopy, and the prediction of an altered PLMVd RNase mapping profile in the presence of the protein. The potential contribution of eEF1A to the molecular biology of PLMVd, including for viroid replication, is discussed.
| S-EPMC2786745 | biostudies-literature
Project description:BackgroundThe application of next generation sequencing technologies and bioinformatic scripts to identify high frequency SNPs distributed throughout the peach genome is described. Three peach genomes were sequenced using Roche 454 and Illumina/Solexa technologies to obtain long contigs for alignment to the draft 'Lovell' peach sequence as well as sufficient depth of coverage for 'in silico' SNP discovery.DescriptionThe sequences were aligned to the 'Lovell' peach genome released April 01, 2010 by the International Peach Genome Initiative (IPGI). 'Dr. Davis', 'F8, 1-42' and 'Georgia Belle' were sequenced to add SNPs segregating in two breeding populations, Pop DF ('Dr. Davis' × 'F8, 1-42') and Pop DG ('Dr. Davis' × 'Georgia Belle'). Roche 454 sequencing produced 980,000 total reads with 236 Mb sequence for 'Dr. Davis' and 735,000 total reads with 172 Mb sequence for 'F8, 1-42'. 84 bp × 84 bp paired end Illumina/Solexa sequences yielded 25.5, 21.4, 25.5 million sequences for 'Dr. Davis', 'F8, 1-42' and 'Georgia Belle', respectively. BWA/SAMtools were used for alignment of raw reads and SNP detection, with custom PERL scripts for SNP filtering. Velvet's Columbus module was used for sequence assembly. Comparison of aligned and overlapping sequences from both Roche 454 and Illumina/Solexa resulted in the selection of 6654 high quality SNPs for 'Dr. Davis' vs. 'F8, 1-42' and 'Georgia Belle', distributed on eight major peach genome scaffolds as defined from the 'Lovell' assembly.ConclusionThe eight scaffolds contained about 215-225 Mb of peach genomic sequences with one SNP/~ 40,000 bases. All sequences from Roche 454 and Illumina/Solexa have been submitted to NCBI for public use in the Short Read Archive database. SNPs have been deposited in the NCBI SNP database.
| S-EPMC3253712 | biostudies-literature