Citrus cultivar:Citrus sinensis Osbeck,Citrus hystrix and Murrara paniculate (L.) Jack
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA785731 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17175906_1.fastq.gz | Fastqsanger.gz | |||
| SRR17175906_2.fastq.gz | Fastqsanger.gz | |||
| SRR17175907_1.fastq.gz | Fastqsanger.gz | |||
| SRR17175907_2.fastq.gz | Fastqsanger.gz | |||
| SRR17175908_1.fastq.gz | Fastqsanger.gz |
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Project description:The postharvest senescence processes of citrus fruits were analyzed transcriptomic. The present study was aimed to: further uncover the rind-flesh communication of hesperidium; characterize the differential storage behaviors of different citrus varieties; reveal the important changes during storing process; and demonstrate the specific non-climacteric characteristics of citrus fruits. We chose four major table fruit varieties of citrus: satsuma mandarin (Citrus unshiu Marc) (M), ponkan (Citrus reticulata Blanco) (K), newhall navel orange (Citrus sinensis L. Osbeck) (O) and shatian pummelo (Citrus grandis Osbeck) (P). They were sampled every 10 days during 50 DAH (days after harvest), almost covering the commercial storage period of loose-skin citrus.
2014-12-03 | E-GEOD-63706 | biostudies-arrayexpress
Project description:Expression data from citrus fruit (Citrus sinensis L. Osbeck)
| PRJNA195601 | ENA
Project description:Bud mutations arise often in citrus. The selection of mutants is one of the most important breeding methods in citrus. However, the molecular bases of bud mutation have rarely been studied. To identify the potential important or novel genes involved in bud mutation, different transcriptomic techniques combing suppression subtractive hybridization (SSH) and microarray were performed between a lycopene accumulated mutant, ‘Hong Anliu’ sweet orange (Citrus sinensis L. Osbeck), and its wild-type during fruit maturation. Microarray analysis revealed that differentially expressed clones are extensively coordinated with the initiation of lycopene accumulation. After sequencing of the differentially expressed clones, a total of 267 non-redundant transcripts were obtained, 182 (68.2%) of which share homology (E-value ≤ 1×10-10) with known gene products or known protein domains. A list of candidate genes which involved in cellular metabolic process, primary metabolic process, localization, macromolecular metabolic process was obtained. Out of these genes, 12 share homology with previously described signal transduction or transcription factors, suggesting complex regulatory control. These results demonstrate profound effect on gene expression of bud mutation in citrus fruits and provide new insights into the molecular basis of bud mutation. Keywords: bud mutation, candidate genes, Citrus, cNDA microarray, suppression subtractive hybridization (SSH)
2009-03-10 | GSE10729 | GEO
Project description:Bud mutations arise often in citrus. The selection of mutants is one of the most important breeding methods in citrus. However, the molecular bases of bud mutation have rarely been studied. To identify the potential important or novel genes involved in bud mutation, different transcriptomic techniques combing suppression subtractive hybridization (SSH) and microarray were performed between a lycopene accumulated mutant, âHong Anliuâ sweet orange (Citrus sinensis L. Osbeck), and its wild-type during fruit maturation. Microarray analysis revealed that differentially expressed clones are extensively coordinated with the initiation of lycopene accumulation. After sequencing of the differentially expressed clones, a total of 267 non-redundant transcripts were obtained, 182 (68.2%) of which share homology (E-value ⤠1Ã10-10) with known gene products or known protein domains. A list of candidate genes which involved in cellular metabolic process, primary metabolic process, localization, macromolecular metabolic process was obtained. Out of these genes, 12 share homology with previously described signal transduction or transcription factors, suggesting complex regulatory control. These results demonstrate profound effect on gene expression of bud mutation in citrus fruits and provide new insights into the molecular basis of bud mutation. Keywords: bud mutation, candidate genes, Citrus, cNDA microarray, suppression subtractive hybridization (SSH) Fruits from the mutant and its wild type were collected at five time points from August to December. Total RNA extracted from the mutant was hybridized to the array together with RNA from the wild type. Each hybridization was performed in duplicate by dye swap.
2009-03-09 | E-GEOD-10729 | biostudies-arrayexpress
Project description:Iron chlorosis is one of the major abiotic stresses affecting fruit trees and other crops in calcareous soils. The most evident symptoms are connected to a reduction in growth and yield and in the interveinal chlorosis of leaves. A custom CombiMatrix 90K microarray was used to identify candidate genes involved in the citrus response to iron deficiency stress, comparing Tarocco Scirè orange [Citrus sinensis (L.) Osbeck] grafted on two different rootstocks, Swingle citrumelo (C. paradisi × Poncirus trifoliata), high sensitive, and Carrizo citrange (C. sinensis × P. trifoliata), tolerant. RNA was extracted from roots of plants grown in two different soils, one volcanic (0% of active lime) used as control, and the other calcareous (10% of active lime).
2015-06-03 | GSE38667 | GEO
Project description:Citrus greening or huanglongbing (HLB) is a devastating disease of citrus. HLB is associated with the phloem-limited fastidious prokaryotic alpha-proteobacterium Candidatus Liberibacter spp. In this report, we used sweet orange (Citrus sinensis) leaf tissue infected with 'Ca. Liberibacter asiaticus' and compared this with healthy controls. Investigation of the host response was examined with citrus microarray hybridization based on 30,171 sets expressed sequence tag sequences from several citrus species and hybrids. The microarray analysis indicated that HLB infection significantly affected expression of 624 genes whose encoded proteins were categorized according to function. The categories included genes associated with sugar metabolism, plant defense, phytohormone, and cell wall metabolism, as well as 14 other gene categories. Young, healthy Valencia sweet orange (C. sinensis) plants were graft inoculated with budwood from Ca. L. asiaticus-infected citrus plants. Prior to the innocualtion, the plants were confirmed to be Ca. L. asiaticus-free in ordinary and quantitative PCR tests. The presence of the bacteria in the inoculated plants was confirmed in both conventional and quantitative PCR with specific primers to Ca. L. asiaticus. The stem and root samples used for RNA extraction and hybridization on Affymetrix microarrays were obtained from three symptomatic and three healthy control trees of similar size, approximately 1 year after inoculation.
2013-10-01 | E-GEOD-33003 | biostudies-arrayexpress
Project description:The dataset for this project was to identify significantly changing proteins in the vasculature of Washington Navel (Citrus sinensis (L) Osbeck) during Candidatus Liberibacter asiaticus (CLas) infection. The navel trees were graft-inoculated with the Hacienda Heights, CA CLas strain (HHCA) and then sampled ten months after graft inoculation.
2020-09-07 | PXD020703 | Pride
Project description:Citrus greening or huanglongbing (HLB) is a devastating disease of citrus. HLB is associated with the phloem-limited fastidious prokaryotic alpha-proteobacterium Candidatus Liberibacter spp. In this report, we used sweet orange (Citrus sinensis) leaf tissue infected with 'Ca. Liberibacter asiaticus' and compared this with healthy controls. Investigation of the host response was examined with citrus microarray hybridization based on 30,171 sets expressed sequence tag sequences from several citrus species and hybrids. The microarray analysis indicated that HLB infection significantly affected expression of 624 genes whose encoded proteins were categorized according to function. The categories included genes associated with sugar metabolism, plant defense, phytohormone, and cell wall metabolism, as well as 14 other gene categories.
2013-10-01 | GSE33003 | GEO