Dataset Information

Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing.

ABSTRACT: Zea mays is an important genetic model for elucidating transcriptional networks. Uncertainties about the complete structure of mRNA transcripts limit the progress of research in this system. Here, using single-molecule sequencing technology, we produce 111,151 transcripts from 6 tissues capturing ?70% of the genes annotated in maize RefGen_v3 genome. A large proportion of transcripts (57%) represent novel, sometimes tissue-specific, isoforms of known genes and 3% correspond to novel gene loci. In other cases, the identified transcripts have improved existing gene models. Averaging across all six tissues, 90% of the splice junctions are supported by short reads from matched tissues. In addition, we identified a large number of novel long non-coding RNAs and fusion transcripts and found that DNA methylation plays an important role in generating various isoforms. Our results show that characterization of the maize B73 transcriptome is far from complete, and that maize gene expression is more complex than previously thought.

SUBMITTER: Wang B

PROVIDER: S-EPMC4931018 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing.

Wang Bo B Tseng Elizabeth E Regulski Michael M Clark Tyson A TA Hon Ting T Jiao Yinping Y Lu Zhenyuan Z Olson Andrew A Stein Joshua C JC Ware Doreen D

Nature communications 20160624

Zea mays is an important genetic model for elucidating transcriptional networks. Uncertainties about the complete structure of mRNA transcripts limit the progress of research in this system. Here, using single-molecule sequencing technology, we produce 111,151 transcripts from 6 tissues capturing ∼70% of the genes annotated in maize RefGen_v3 genome. A large proportion of transcripts (57%) represent novel, sometimes tissue-specific, isoforms of known genes and 3% correspond to novel gene loci. I ...[more]

PMID: 27339440

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Project description:BACKGROUND:The pearl oyster Pinctada fucata martensii is an economically valuable shellfish for seawater pearl production, and production of pearls depends on its growth. To date, the molecular mechanisms of the growth of this species remain poorly understood. The transcriptome sequencing has been considered to understanding of the complexity of mechanisms of the growth of P. f. martensii. The recently released genome sequences of P. f. martensii, as well as emerging Pacific Bioscience (PacBio) single-molecular sequencing technologies, provide an opportunity to thoroughly investigate these molecular mechanisms. RESULTS:Herein, the full-length transcriptome was analysed by combining PacBio single-molecule long-read sequencing (PacBio sequencing) and Illumina sequencing. A total of 20.65 Gb of clean data were generated, including 574,561 circular consensus reads, among which 443,944 full-length non-chimeric (FLNC) sequences were identified. Through transcript clustering analysis of FLNC reads, 32,755 consensus isoforms were identified, including 32,095 high-quality consensus sequences. After removing redundant reads, 16,388 transcripts were obtained, and 641 fusion transcripts were derived by performing fusion transcript prediction of consensus sequences. Alternative splicing analysis of the 16,388 transcripts was performed after accounting for redundancy, and 9097 gene loci were detected, including 1607 new gene loci and 14,946 newly discovered transcripts. The original boundary of 11,235 genes on the chromosomes was corrected, 12,025 complete open reading frame sequences and 635 long non-coding RNAs (LncRNAs) were predicted, and functional annotation of 13,482 new transcripts was achieved. Two thousand three hundred eighteen alternative splicing events were detected. A total of 228 differentially expressed transcripts (DETs) were identified between the largest (L) and smallest (S) pearl oysters. Compared with the S, the L showed 99 and 129 significantly up-and down-regulated DETs, respectively. Six of these DETs were further confirmed by quantitative real-time RT-PCR (RT-qPCR) in independent experiment. CONCLUSIONS:Our results significantly improve existing gene models and genome annotations, optimise the genome structure, and in-depth understanding of the complexity and diversity of the differential growth patterns of P. f. martensii.

Dataset Information

Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing.

Publications

Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing.

Similar Datasets

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