Transcriptomic profiling reveals Neofabraea vagabunda infection-induced changes in susceptible and resistant apples during storage
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina NovaSeq 6000
ORGANISM(S): Malus domestica
SUBMITTER:
PROVIDER: E-MTAB-13465 | biostudies-arrayexpress |
SECONDARY ACCESSION(S): ERP152651
REPOSITORIES: biostudies-arrayexpress
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Project description:Superficial scald is a major physiological disorder in apple fruit that is induced by cold storage and is mainly expressed as brown necrotic patches on peel tissue. However, a global view of the gene-protein-metabolite interactome underlying scald prevention/sensitivity is currently missing. Herein, we have found for the first time that cold storage in an atmosphere enriched with ozone (O3) induced scald symptoms in ‘Granny Smith’ apple fruits during subsequent ripening at room temperature. In contrast, treatment with the ethylene perception inhibitor 1-methylcyclopropene (1-MCP) reversed this O3-induced scald effect. Amino acids, including branched-chain amino acids, were the most strongly induced metabolites in peel tissue of 1-MCP treated fruits. Proteins involved in oxidative stress and protein trafficking were differentially accumulated prior to and during scald development. Genes involved in photosynthesis, flavonoid biosynthesis and ethylene signaling displayed significant alterations in response to 1-MCP and O3. Analysis of regulatory module networks identified putative transcription factors (TFs) that could be involved in scald. Subsequently, a transcriptional network of the genes-proteins-metabolites and the connected TFs was constructed. This approach enabled identification of several genes co-regulated by TFs, notably encoding glutathione S-transferase (GST) protein(s) with distinct signatures following 1-MCP and O3 treatments. Overall, this study is an important contribution to future functional studies and breeding programs for this fruit, aiding to the development of improved apple cultivars to superficial scald.
2020-05-27 | PXD016849 | Pride
Project description:Molecular events regulating apple fruit ripening and sensory quality are largely unknown. Such knowledge is essential for genomic-assisted apple breeding and postharvest quality management. In this study, a parallel transcriptome profile analysis, scanning electron microscopic (SEM) examination and systematic physiological characterization were performed on two apple cultivars, Honeycrisp (HC) and Cripps Pink (CP), which have distinct ripening features and texture attributes. Systematic physiological characterization of fruit ripening based on weekly maturity data indicated substantial differences in fruit crispness and firmness at comparable ripening stages. SEM images of fruit cortex tissues prepared from fruits with equivalent maturity suggested that the cell wall thickness may contribute to the observed phenotypes of fruit firmness and crispness. A high-density long-oligo apple microarray consisting of duplex 190,135 cross-hybridization-free 50-70-mer isothermal probes, and representing 23,997 UniGene clusters, was manufactured on a Nimblegen array platform. Transcriptome profiling identified a total of 1793 and 1209 UniGene clusters differentially expressed during ripening from cortex tissues of HC and CP, respectively. UniGenes implicated in hormone metabolism and response, cell wall biosynthesis and modification and those encoding transcription factors were among the prominent functional groups. Between the two cultivars, most of the identified UniGenes were similarly regulated during fruit ripening; however, a short list of gene families or specific family members exhibited distinct expression patterns between the two cultivars, which may represent candidate genes regulating cultivar-specific apple fruit ripening patterns and quality attributes. Using a single color labeling system, a total of 24 microarray slides were utilized, one for each cortex tissue sample, for transcriptome profiling analysis. 2 cultivars x 3 developmental stages x 4 biological replicates.
2010-11-05 | E-GEOD-24523 | biostudies-arrayexpress
Project description:Low temperature storage of citrus fruits are susceptible to chilling disorder symptoms that impact fruit quality. Understanding the molecular frame underlying the cold storage process will provide a basic guidance for practical control. We used Affymetrix Citrus GeneChip to examine the transcriptional changes in cold-stored Citrus reticulata Blanco cv. âPonkanâ pulp tissue for three successive months. Ponkan postharvest fruits were under cold storage for three successive months. The pulp tissue was used for RNA extraction and hybridization on Affymetrix Citrus Genome microarrays.
2010-05-17 | E-GEOD-19543 | biostudies-arrayexpress
Project description:Colletotrichum coccodes secretes ammonium during germination and colonization of host tissue as a mechanism for dual activation of fungal pathogenicity factors and plant cell death via activation of host NADPH oxidase. Ammonium accumulation during colonization of tomato fruits by C. coccodes induced host nucleus integrity changes and program cell death (PCD). Transcriptome analysis at the leading edge of colonized tissue and ammonium treated tomato fruits revealed 82 and 237 common up-regulated and common down-regulated genes, respectively. The common-up-regulated genes showed over representation of pathogen related (PR) proteins, salicylic acid (SA) dependent and systemic acquired resistance (SAR) related genes and genes related to biotic stress. The down regulated genes showed over representation of Jasmonic acid (JA) dependent genes. Consistent with this observation the direct application of SA enhanced C. coccodes colonization, whereas the application of JA delayed colonization. Candidate genes were selected for QRT-PCR analysis of transcripts in normal and transgenic RBOH antisense plants and showed dependence on RBOH regulation. In all, the results suggest that ammonia accumulation during C. coccodes colonization activates SA and suppress JA pathways through activation of RBOH. The effects of ammonium on the expression of the selected up-and down regulated genes were examined in fruit of different maturation stages. Red, susceptible and green resistant, tomato fruit displayed similar behavior, suggesting that resistance of green fruits to C. coccodes colonization is not modulated by the JA and SA pathways but depends on other factors Ten micrograms of total RNA was processed for the microarray hybridizations using the Affymetrix GeneChip one-cycle target-labeling kit (Affymetrix). The four treatments were: C. coccodes "mat inoculation" compared to a wound control (24 hours after the tomato fruit peel was removed). 5 mM Ammonium treatment in PBS compared to PBS treatments as a control for ammonium treatment, the treatments applied every four hours. Each treatment had a duplicate. The biotinylated complementary RNA was fragmented and hybridized to the GeneChip Tomato Genome Array (10,038 tomato probe sets for more than 9,200 tomato genes). The arrays were washed, stained, and scanned at the biological services (Weizmann institute of science, Rehovot, Israel). CEL files for the Affymetrix microarray data arising from the microarray experiments were analyzed utilizing the Partek genomics software (Downey, 2006).
2011-06-01 | E-GEOD-21999 | biostudies-arrayexpress
Project description:Dessert bananas have a soft texture and sweet taste at maturity. Plantain fruits belongs to Musa spp (AAB) and are known cooking bananas. This popular name is due to the fact that these fruits do keep a high amount of starch even after complete maturation and have a different flesh texture being not pleasant for fresh consumption. Plantains are a main starch food resource in African countries and India. Although a vital food source for big communities, studies about plantain are still scarce. The exploration of the biodiversity of the Musa gender can improve the breeding programs for many different problems, besides of a deeper knowledge about fruit development. We used here an easy and reproducible protocol for protein extraction and identification, resulting in the first fruit proteome of plantain species available until now. In addition we compared the results with the proteome from the dessert banana Cavendish (AAA). We identify in total 2390 proteins with false discovery rate of 0.2%. Genetically, both the dessert banana and the plantain are quite close but show a quite contrasting phenotype as mentioned above. The phenotype is undoubtedly associated to unique alleles. Using our in-house workflow for identifying allele specific peptides, we have found 98 candidate peptides to be unique for B genome and so encoded by a variety specific allele. From the 98 candidates we could confirm 59 mutations identified in the B genome. GO enrichment analysis of those B allele specific proteins showed that 20% of the proteins are related to sugar and/or starch metabolism. We hypothesize that the expression of B genome in plantain can be a key for the particular maturation process in plantain.
2018-01-22 | PXD005589 | Pride
Project description:Kumquat (Fortunella classifolia Swingle) was thought as a close relative to citrus according to fruit morphology taxonomic, but kumquat fruit as well as its flowering characteristic are distinct from other citrus species, the trees usually blooms on the medium of June, obviously later than other citrus species, moreover many kumquat accessions could be blossom more than one times during one growth season, as this reason, the kumquat fruits could be consecutively ripen over several months, which made the study of globe genes expression profile for different development stage fruit easy. Kumquat is non-climacteric fruit, however the kumquat fruit ripening process, especially genes expression change in young and ripe kumquat fruits are less known, so studying on the global genes expression profiles of kumquat fruits in young and ripe stage are especially helpful to identify ripening-related genes and unravel the mechanism of ripening process.
2013-11-25 | E-MTAB-1837 | biostudies-arrayexpress
Project description:Bitter pit is the most important physiological disorder affecting apples. In order to ascertain the genetic bases of its incidence in apple fruit, a mapping population of ‘Braeburn’ (susceptible to bitter pit) × ‘Cameo’ (resistant to bitter pit) cultivars was used to map the trait over two growing seasons. RNA-Seq on pools of RNA extracted from fruits of three resistant and three susceptible to bitter pit progenies at post-fertilization and full maturity stages, permitted us to identify a number of candidate genes underlying genetic resistance/susceptibility to bitter pit.
2018-06-12 | E-MTAB-6190 | biostudies-arrayexpress
Project description:Based on sensorial analysis over 4 years, 6 apple genotypes with contrasted fruit texture (mealy or not) were selected among a progeny. Apple samples were collected at 100 days after flowering (100 DAF), harvest (H), after 2 and 4 months of cold storage (60DAH and 120DAH respectively). 6 apple hybrids were analysed in dye-switch. Biological replicates are fruits from 2 to 4 different harvest years. Each mealy hybrid was compared to a non-mealy hybrid from the same harvest year in 12 dye-swap 3 pairs at 4 four time points).
2015-06-25 | E-GEOD-59947 | biostudies-arrayexpress
Project description:Background The set of all mRNA molecules present in a cell constitute the transcriptome. The transcriptome varies depending on cell type as well as in response to internal and external stimuli during development. Chili pepper is an economically and culturally important horticultural crop as well as a good model for the study of secondary metabolism during fruit development. Here we present a study of the changes that occur in the transcriptome of chili pepper fruit during development and ripening. Results RNA-Seq was used to obtain transcriptomes of whole Serrano-type chili pepper fruits (Capsicum annuum L.; 'Tampiqueno 74') collected at 10, 20, 40 and 60 days after anthesis (DAA). 15,550,468 Illumina MiSeq reads were assembled de novo into 34,066 chili genes. We classified the expression patterns of individual genes as well as genes grouped into Biological Process ontologies and Metabolic Pathway categories using statistical criteria. For the analyses of gene groups we added the weighted expression of individual genes. This method was effective in interpreting general patterns of expression changes and increased the statistical power of the analyses. Subsets of genes were expressed only at a single time point sampled (1,278, 1,596, 1,519 and 1,583 genes at 10, 20, 40 and 60 DAA, respectively). We also estimated the variation in diversity and specialization of the transcriptome during chili pepper development. Approximately 17% of genes exhibited a significant change of expression in at least one of the intervals sampled. In contrast, significant differences in approximately 63% of the Biological Processes and 80% of the Metabolic Pathways studied were detected in at least one interval. Confirming previous reports, genes related to capsaicinoid and ascorbic acid biosynthesis were significantly upregulated at 20 DAA while those related to carotenoid biosynthesis were highly expressed in the last period of fruit maturation (40-60 DAA). Our RNA-Seq data was validated by examining the expression of nine genes involved in carotenoid biosynthesis by qRT-PCR. Conclusions In general, more profound changes in the chili fruit transcriptome were observed in the intervals between 10 to 20 and 40 to 60 DAA. The last interval, between 40 to 60 DAA, included 49% of all significant changes detected, and was characterized predominantly by a global decrease in gene expression. This period signals the end of maturation and the beginning of senescence of chili pepper fruit. The transcriptome at 60 DAA was the most specialized and least diverse of the four states sampled. RNA-seq libraries of whole chili pepper (Capsicum annuum Serrano 'Tampiqueno 74' landrace) were prepared from fruits at 10, 20, 40 and 60 days after anthesis (DAA). Two biological replicates of each fruit state were prepared (8 libraries in total). Libraries were sequenced in the Illumina MiSeq platform. The title of the libraries are: <DAA>repbio<#> where <DAA> are the days after anthesis (10, 20, 40 or 60) and <#> is the number of biological replicate, 1 or 2. Details follow. Biological material and RNA extraction Capsicum annuum Serrano 'Tampiqueno 74' seeds were germinated and the seedlings were cultivated until maturity under greenhouse conditions in a completely randomized experimental design at Cinvestav-Unidad Irapuato (Guanajuato, Mexico). The plants were grown during the spring and summer, and individual flowers were tagged at anthesis. Chili pepper fruits were randomly collected from different plants at 10, 20, 40 and 60 DAA. After sampling, the fruits were cleaned with ethanol immediately frozen in liquid nitrogen and stored at -80C until further use. For total RNA extractions, 10 fruits at the 10 DAA developmental stage and 5 fruits from each of the 20, 40 and 60 DAA stages were randomly selected from the pool of all harvested fruits. Whole fruits (pericarp, placenta and seeds) were ground in liquid nitrogen with a mortar and pestle to form a fine uniform powder. Samples were mixed vigorously and 100 mg aliquots were measured for each RNA extraction. The process was repeated with different sets of fruits in order to obtain two independent biological replicates at each developmental stage. A NucleoSpin RNA Plant kit (Macherey-Nagel) was used for total RNA extraction and contaminating genomic DNA was removed by DNase I (Macherey-Nagel) treatment following the manufacturers' protocols. Total RNA concentration was quantified using a NanoDrop ND-1000 spectrophotometer (Nano-Drop, Wilmington, DE, USA) and RNA quality was evaluated by gel electrophoresis on 1.0% denaturing agarose gels. In addition, aliquots of RNA were run on an Agilent 2100 Bioanalyzer using RNA 6000 chips (Agilent, Santa Clara, CA, USA) to test the RNA integrity number (RIN). All eight samples had RIN values higher than 8.7. Thirty ?g of total RNA from each of the eight samples (two biological replicates of four fruit developmental stages) was used for cDNA library preparation. Library construction and sequencing The eight total RNA samples (two biological replicates from chili pepper fruits at 10, 20, 40 and 60 DAA) were prepared for RNA-Seq using the Illumina TruSeq RNA Sample Preparation v2 Guide following the manufacturer's instructions. Briefly, mRNA was purified from 20?g of total RNA using poly-T oligo- attached magnetic beads using two rounds of purification. During the second elution of the poly-A RNA, mRNA was fragmented using divalent cations under elevated temperature and primed for cDNA synthesis. The cleaved RNA fragments were primed with random hexamers and reverse transcribed into single-stranded cDNA using reverse transcriptase. In the next step, the RNA template was removed and the complementary cDNA strand was synthesized using RNAse H and DNA polymerase I, respectively. The overhangs that resulted from fragmentation were polished into blunt ends using an End Repair Mix (consisting of T4 DNA polymerase, Klenow fragment and T4 polynucleotide kinase). A single T nucleotide was added on the 3' end of the adapter for ligating the adapter to the cDNA fragments. Indexing adapters were ligated to the ends of the cDNAs using T4 DNA ligase, preparing them for hybridization onto a flow cell. Finally, the DNA fragments with adapter molecules at both ends were amplified by PCR to enrich the amount of DNA in the library. PCR was performed with a PCR primer cocktail that anneals to the ends of the adapters. Quantity and quality of the DNA libraries was assessed using Agilent DNA-1000 chips on an Agilent 2100 Bioanalyzer. The 8 cDNA libraries were pooled and simultaneously sequenced from both 5’ and 3’ ends using the Illumina MiSeq System platform according to the manufacturer's instructions. We performed three sequencing runs (technical replicates) with the aim of increase the sequencing depth. 150 bp paired-end reads were obtained in each sequencing run. Fluorescent image processing, base-calling and quality value calculations for each of the three runs were performed using Illumina MiSeq Control Software. Data were deposited at the NCBI (GEO database under series record GSE54123).
2014-02-21 | E-GEOD-54123 | biostudies-arrayexpress
Project description:The tomato MADS-box FRUITFULL (FUL) homologs, FUL1 and FUL2, interact with the main ripening regulator RIPENING INHIBITOR (RIN). To clarify their role in fruit ripening, we generated FUL1/FUL2-suppressed transgenic lines by RNAi. We found that five transgenic lines bearing fruits that did not ripen normally: lycopene accumulation and increase of ethylene production were severely inhibited. We then performed next generation RNA sequencing (RNA-Seq) analysis of the fruits of a FUL1/FUL2-suppressed line (TF18) with those of the wild type (Ailsa Craig cultivar; AC) and rin mutant. The comparison of RNA-Seq data among them indicated that FUL1/FUL2-suppression significantly affected the expression of a larger portion of ripening-induced and -repressed genes than the rin mutation did. Moreover, the effect of FUL1/FUL2-suppression was observed not only in the fruits harvested at the wild type ripening age [45 days after pollination (DAP)] but also in those at the pre-ripening age (35 DAP). This suggests that the FUL homologs play an essential role in the regulation of fruit development and ripening, the role which covers a wider range of biological processes than RIN does. Differentially expressed genes (DEGs) between the wild type and TF18 fruits included known ripening-related genes such as ACS2 and ACS4 involved in ethylene production and PSY1 in carotenoid biosynthesis, consistent with the phenotype of TF18 fruits described above. The DEGs also included many direct RIN target genes, which supports the hypothesis that the FUL homologs regulate fruit ripening in a form of MADS-box complex with RIN. mRNA profiles of wild type (Ailsa Craig cultivar), rin mutant and FUL1/FUL2-suppressed tomato fruits harvested at 35DAP and 45 DAP were generated by next generation sequencing, in triplicate, using Illumina Hiseq2000.
2014-06-23 | E-GEOD-49289 | biostudies-arrayexpress