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• W2100022097 startingPage "e0125702" @default.
• W2100022097 abstract "RNA-Seq is an efficient way to comprehensively identify single nucleotide polymorphisms (SNPs) and alternative splicing (AS) events from the expressed genes. In this study, we conducted transcriptome sequencing of four Asian lotus (Nelumbo nucifera) cultivars using Illumina HiSeq2000 platform to identify SNPs and AS events in lotus. A total of 505 million pair-end RNA-Seq reads were generated from four cultivars, of which 86% were mapped to the lotus reference genome. Using the four sets of data together, a total of 357,689 putative SNPs were identified with an average density of one SNP per 2.2 kb. These SNPs were located in 1,253 scaffolds and 15,016 expressed genes. A/G and C/T were the two major types of SNPs in the Asian lotus transcriptome. In parallel, a total of 177,540 AS events were detected in the four cultivars and were distributed in 64% of the expressed genes of lotus. The predominant type of AS events was alternative 5' first exon, which accounted for 41.2% of all the observed AS events, and exon skipping only accounted for 4.3% of all AS. Gene Ontology analysis was conducted to analyze the function of the genes containing SNPs and AS events. Validation of selected SNPs and AS events revealed that 74% of SNPs and 80% of AS events were reliable, which indicates that RNA-Seq is an efficient approach to uncover gene-associated SNPs and AS events. A large number of SNPs and AS events identified in our study will facilitate further genetic and functional genomics research in lotus." @default.
• W2100022097 created "2016-06-24" @default.
• W2100022097 creator A5022012433 @default.
• W2100022097 creator A5043086255 @default.
• W2100022097 creator A5071154185 @default.
• W2100022097 creator A5082736240 @default.
• W2100022097 date "2015-04-30" @default.
• W2100022097 modified "2023-10-18" @default.
• W2100022097 title "RNA-Seq Uncovers SNPs and Alternative Splicing Events in Asian Lotus (Nelumbo nucifera)" @default.
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• W2100022097 doi "https://doi.org/10.1371/journal.pone.0125702" @default.
• W2100022097 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4416007" @default.
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