Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptome dynamics during fruit development of sweet orange (Citrus sinensis)

ABSTRACT: • To dissect how the genes are dynamically and differentially expressed during fruit development in sweet orange, a comprehensive transcriptomic study was performed in a pleiotropic mutant (MT) and its wild type (WT). • The detection of the fruit transcriptomic changes was conducted at five stages of fruit development by deep sequencing; the obtained millions of reliable tags were mapped on orange unigenes and subjected to cluster analysis and functional categorization. Sugar and organic acid contents were determined based on the prediction of differential biological processes. • The global clustering analysis revealed a total of 14 expression patterns for the genes involved in fruit development of sweet orange. More than 94% of the genes showed differential expression during fruit development. Comparative transcripts profiling between WT and MT revealed that between 410 and 634 genes were significantly differentially expressed at the five stages. Functional categorization indicated that TCA cycle, carotenoid biosynthesis, and pentose phosphate pathway (OPP) were among the most regulated pathways. • This study provided a dynamic-view of the transcriptome changes during fruit ripening in sweet orange; the results highlighted a set of molecular processes involved in the formation of the mutation trait in the orange fruits. Investigate the transcriptome changes during five fruit developmental stages of two sweet orange genotypes

ORGANISM(S): Citrus sinensis

SUBMITTER: Qiang Xu

PROVIDER: E-GEOD-22505 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Transcriptome changes during fruit development and ripening of sweet orange (Citrus sinensis).

Yu Keqin K Xu Qiang Q Da Xinlei X Guo Fei F Ding Yuduan Y Deng Xiuxin X

BMC genomics 20120110

<h4>Background</h4>The transcriptome of the fruit pulp of the sweet orange variety Anliu (WT) and that of its red fleshed mutant Hong Anliu (MT) were compared to understand the dynamics and differential expression of genes expressed during fruit development and ripening.<h4>Results</h4>The transcriptomes of WT and MT were sampled at four developmental stages using an Illumina sequencing platform. A total of 19,440 and 18,829 genes were detected in MT and WT, respectively. Hierarchical clustering ...[more]

PMID: 22230690

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Project description:Small RNAs (sRNAs) are emerging as important regulators of biological processes in plants. To characterize the small RNA species and expression changes in ‘Anliu’ sweet orange (wild type, WT) and its red-flesh mutant (MT) with lycopene accumulation, we used high-throughput pyrosequencing to identify and quantitatively profile sRNAs. We identified 112 known miRNAs belonging to 64 families from the sweet orange. Comparative analysis revealed that 63 of the 112 known miRNAs exhibited significant expression differences between WT and MT. We also identified 12 novel miRNAs and 9 miRNA candidates from sweet orange; the 12 novel miRNAs are in line with the biogenesis characteristics including the stem-loop structure of the pre-miRNAs and existence of the miRNA*s in the sRNA libraries. Comparative profiling revealed that 10 novel miRNAs and 8 miRNA candidates are differentially expressed between WT and MT. Potential targets of these differentially expressed miRNAs included several important genes that are involved in carotenoid biosynthesis, such as geranylgeranyl pyrophosphate synthase (GGPS) and lycopene β-cyclase (LYCb). Moreover, GO and KEGG annotation revealed that high ranked miRNA-target genes are those implicated in transcription regulation, protein modification and photosynthesis. We proposed that miRNA-target genes are the hot-spots for generating sRNAs. This study provides the first large scale cloning and characterization of citrus miRNAs, which also lays a foundation for unraveling the mechanism of lycopene accumulation in the sweet orange mutant on post-transcription level. Size fractionated small RNAs (16-30 bp) from total RNA extracts was ligated to 5' and 3' adapters, and reverse transcribed. After PCR amplification the sample was subjected to Solexa sequencing. The resultant 35nt sequence data were filtered according to base quality value. The remained sequences were used to trim 5' and 3' adaptors. The clean tags were used for further analysis.

Dataset Information

Transcriptome dynamics during fruit development of sweet orange (Citrus sinensis)

Publications

Transcriptome changes during fruit development and ripening of sweet orange (Citrus sinensis).

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