2017
DOI: 10.1155/2017/9184731
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Enriching Genomic Resources and Transcriptional Profile Analysis of Miscanthus sinensis under Drought Stress Based on RNA Sequencing

Abstract: Miscanthus × giganteus is wildly cultivated as a potential biofuel feedstock around the world; however, the narrow genetic basis and sterile characteristics have become a limitation for its utilization. As a progenitor of M. × giganteus, M. sinensis is widely distributed around East Asia providing well abiotic stress tolerance. To enrich the M. sinensis genomic databases and resources, we sequenced and annotated the transcriptome of M. sinensis by using an Illumina HiSeq 2000 platform. Approximately 316 millio… Show more

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Cited by 9 publications
(24 citation statements)
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References 55 publications
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“…Of all the hits to the NR proteins from BLASTX, most transcripts (149,618, ∼49%) were annotated to Sorghum bicolor, followed by Zea mays (59,871; 19.8%) ( Fig. 3b), which is consistent with several previous Miscanthus transcriptome analyses when the sugarcane genome sequences were not yet available [10][11][12]. Thus, it is no surprise that most of our Miscanthus sequences could be mapped to the sugarcane genome but could not be annotated owing to the limited sugarcane genome annotation information in public databases.…”
Section: Transcript Annotation and Functional Classi Cationsupporting
confidence: 89%
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“…Of all the hits to the NR proteins from BLASTX, most transcripts (149,618, ∼49%) were annotated to Sorghum bicolor, followed by Zea mays (59,871; 19.8%) ( Fig. 3b), which is consistent with several previous Miscanthus transcriptome analyses when the sugarcane genome sequences were not yet available [10][11][12]. Thus, it is no surprise that most of our Miscanthus sequences could be mapped to the sugarcane genome but could not be annotated owing to the limited sugarcane genome annotation information in public databases.…”
Section: Transcript Annotation and Functional Classi Cationsupporting
confidence: 89%
“…Functional genomic resources of Miscanthus are required to understand the molecular processes underlying their suitability for bioenergetics applications. With the development of new sequencing techniques, transcriptome analysis has been proven to be a very powerful means of gene discovery, genome annotation, and deep exploration of genes that contribute to phenotypic traits [6][7][8][9][10]. A few NGS RNA-Seq transcriptome databases of M. sinensis, M. sacchari orus, and M. lutarioriparius have been reported previously [10,11,42], but these studies were limited by either transcript length and/or the number of transcript isoforms.…”
Section: Discussionmentioning
confidence: 99%
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“…The whole genome sequence of Miscanthus is not yet available, but access to functional genomic resources of this species are required to understand the molecular processes underlying their suitability for bioenergetics applications. With the development of new sequencing techniques, transcriptome analysis has been proven to be a very powerful means of gene discovery, genome annotation, and deep exploration of genes that contribute to phenotypic traits [9][10][11]. A few NGS RNA-Seq transcriptome databases of M. sinensis, M. sacchari orus, and M. lutarioriparius have been reported previously [12,13,38], but these studies were limited by either transcript length and/or the number of transcript isoforms.…”
Section: Discussionmentioning
confidence: 99%
“…For example, extensive transcriptome analyses have been conducted on switchgrass (Panicum virgatum L.), which is another important bioenergy crop widely used for lignocellulosic researches. Comparative transcriptome analyses of different switchgrass ecotypes identi ed many molecular biomarkers of phenotypic traits, which accelerated the development of highyielding switchgrass cultivars [10,11]. Although several Miscanthus species have been considered important feedstocks for biofuels and biore neries, their genetic resources, including transcriptome data, are currently very limited.…”
Section: Introductionmentioning
confidence: 99%