Sunday, April 20, 2014

The Secret Of Becoming An Prosperous UNC2250 GSK525762A Specialist

e splicing is an important regulatory mechanism in higher organisms and plays a major role in the generation of proteomic and functional diversities, In plants, a wide range of processes including devel opment, stress response and disease resistance are regu lated by AS, Currently AS of several AZ20 model plant organisms including Arabidopsis and AZ20 rice has been char acterized at the genome scale while AS in cucum ber has not yet been investigated. To identify AS events in cucumber genome, we mapped all cucumber ESTs to the genome predicted gene regions. We were able to identify a total of 25,917 unique intron exon junction sites in 8,355 genes. Among these junction sites, 20,692 were consistent with I-BET-762 those predicted from cucumber genome.

A total of 530 AS events were identified in 443 cucumber genes based on the junction sites derived from EST genome alignments, These AS events were further classified into five different types. alternative 5 splice site, alternative 3 splice site, alternative position, intron retention and exon skipping, Intron retention is the most prevalent AS type, comprising 55. 7% of all AS events Extispicy and 54. 4% of all alternatively spliced genes identified in cucumber, This is consistent with previous reports in Arabidopsis and Rice, GSK2190915 The relatively small number of genes were identi fied to have AS events in this study is probably due to the limited number of ESTs and the short length of 454 sequences, most of which were aligned entirely to single exons and did not cover the intron exon junction sites.

More RNA seq data, especially those from different tis sues and conditions, are required in order to obtain a more complete picture of alternative splicing in cucum ber. The alignments of ESTs on the cucumber genome can be viewed on the cucumber genome browser in the Cucurbit Genomics Database, AZ20 Mapping unigenes to cucumber genome predicted genes We further aligned cucumber unigenes to cucumber genome predicted genes. Around 72% unigenes could be mapped, allowing 95% sequence identity and 80% length coverage, The unmappable unigenes in cucumber might include non coding RNAs, fusion transcripts, relatively short and low quality singletons, UTR sequences far from the translation start or stop sites, and those having incomplete coverage by the genome.

It has been reported that even in Arabidopsis around 13% of the 454 ESTs cant be aligned GSK2190915 to the predicted genes and in human only 64% of the 454 reads can be mapped to the RefSeq database of well annotated human genes, All the mapping results were provided in the Cucurbit AZ20 Genomics Database Out of 26,682 genes predicted from the cucumber genome, approximately 64% were repre sented by this EST collection. In addition, based on the transcript assembly described above, we found that cucumber ESTs generated in this study covered 70% of genes derived from GenBank ESTs and mRNAs which were generated from various dif ferent tissues including flower, fruit and leaf. Further more, we compared the Arabidopsis protein sequences against cucumber unigenes using the blast program with an e value cutoff of 1e 10 and found that 67% of all the Arabidopsis protein sequences had at least one matching cucumber unigene.

Microarray analysis in Arabidopsis indicates that 55 67% genes are expressed in a single sam ple GSK2190915 and studies in human and mouse also indicate that around 60 70% genes are expressed in a specific tis sue, All the above results indicated that the ESTs generated under the present study captured the majority of genes expressed in cucumber flower buds. These ESTs represented a significant addition to the existing cucurbit genomic resources. Functional annotation of cucumber transcriptome Based on the alignments of unigenes to cucumber genome predicted genes, a total of 39,964 unique genes were obtained, including 17,087 that contained cucumber genome predicted genes and 22,877 unmappable unige nes. We named these unique genes as virtual unigenes. To infer putative functions of cucumber

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