Hauptseite > Publikationsdatenbank > De novo Transcriptome Analysis of Miscanthus Iutarioriparius Indentifies Candidate Genes in Rhizome Development > print |
001 | 837937 | ||
005 | 20210129231446.0 | ||
024 | 7 | _ | |a 10.3389/fpls.2017.00492 |2 doi |
024 | 7 | _ | |a 2128/15324 |2 Handle |
024 | 7 | _ | |a WOS:000398993000001 |2 WOS |
024 | 7 | _ | |a altmetric:19663297 |2 altmetric |
024 | 7 | _ | |a pmid:28446913 |2 pmid |
037 | _ | _ | |a FZJ-2017-06698 |
041 | _ | _ | |a English |
082 | _ | _ | |a 570 |
100 | 1 | _ | |a Hu, Ruibo |0 P:(DE-HGF)0 |b 0 |
245 | _ | _ | |a De novo Transcriptome Analysis of Miscanthus Iutarioriparius Indentifies Candidate Genes in Rhizome Development |
260 | _ | _ | |a Lausanne |c 2017 |b Frontiers Media |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1506063622_7849 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Miscanthus lutarioriparius is a promising lignocellulosic feedstock for second-generation bioethanol production. However, the genomic resource for this species is relatively limited thus hampers our understanding of the molecular mechanisms underlying many important biological processes. In this study, we performed the first de novo transcriptome analysis of five tissues (leaf, stem, root, lateral bud and rhizome bud) of M. lutarioriparius with an emphasis to identify putative genes involved in rhizome development. Approximately 66 gigabase (GB) paired-end clean reads were obtained and assembled into 169,064 unigenes with an average length of 759 bp. Among these unigenes, 103,899 (61.5%) were annotated in seven public protein databases. Differential gene expression profiling analysis revealed that 4,609, 3,188, 1,679, 1,218, and 1,077 genes were predominantly expressed in root, leaf, stem, lateral bud, and rhizome bud, respectively. Their expression patterns were further classified into 12 distinct clusters. Pathway enrichment analysis revealed that genes predominantly expressed in rhizome bud were mainly involved in primary metabolism and hormone signaling and transduction pathways. Noteworthy, 19 transcription factors (TFs) and 16 hormone signaling pathway-related genes were identified to be predominantly expressed in rhizome bud compared with the other tissues, suggesting putative roles in rhizome formation and development. In addition, a predictive regulatory network was constructed between four TFs and six auxin and abscisic acid (ABA) -related genes. Furthermore, the expression of 24 rhizome-specific genes was further validated by quantitative real-time RT-PCR (qRT-PCR) analysis. Taken together, this study provide a global portrait of gene expression across five different tissues and reveal preliminary insights into rhizome growth and development. The data presented will contribute to our understanding of the molecular mechanisms underlying rhizome development in M. lutarioriparius and remarkably enrich the genomic resources of Miscanthus. |
536 | _ | _ | |a 143 - Controlling Configuration-Based Phenomena (POF3-143) |0 G:(DE-HGF)POF3-143 |c POF3-143 |f POF III |x 0 |
700 | 1 | _ | |a Yu, Changjiang |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Wang, Xiaoyu |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Jia, Chun-Lin |0 P:(DE-Juel1)130736 |b 3 |
700 | 1 | _ | |a Pei, Shengqiang |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a He, Kang |0 P:(DE-HGF)0 |b 5 |
700 | 1 | _ | |a He, Guo |0 P:(DE-HGF)0 |b 6 |
700 | 1 | _ | |a Kong, Yingzhen |0 P:(DE-HGF)0 |b 7 |
700 | 1 | _ | |a Zhou, Gongke |0 P:(DE-HGF)0 |b 8 |e Corresponding author |
773 | _ | _ | |a 10.3389/fpls.2017.00492 |0 PERI:(DE-600)2613694-6 |p 492 |t Frontiers in plant science |v 8 |y 2017 |x 1664-462X |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/837937/files/fpls-08-00492.pdf |
856 | 4 | _ | |y OpenAccess |x icon |u https://juser.fz-juelich.de/record/837937/files/fpls-08-00492.gif?subformat=icon |
856 | 4 | _ | |y OpenAccess |x icon-1440 |u https://juser.fz-juelich.de/record/837937/files/fpls-08-00492.jpg?subformat=icon-1440 |
856 | 4 | _ | |y OpenAccess |x icon-180 |u https://juser.fz-juelich.de/record/837937/files/fpls-08-00492.jpg?subformat=icon-180 |
856 | 4 | _ | |y OpenAccess |x icon-640 |u https://juser.fz-juelich.de/record/837937/files/fpls-08-00492.jpg?subformat=icon-640 |
856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/837937/files/fpls-08-00492.pdf?subformat=pdfa |
909 | C | O | |o oai:juser.fz-juelich.de:837937 |p openaire |p open_access |p driver |p VDB |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)130736 |
913 | 1 | _ | |a DE-HGF |l Future Information Technology - Fundamentals, Novel Concepts and Energy Efficiency (FIT) |1 G:(DE-HGF)POF3-140 |0 G:(DE-HGF)POF3-143 |2 G:(DE-HGF)POF3-100 |v Controlling Configuration-Based Phenomena |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Energie |
914 | 1 | _ | |y 2017 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b FRONT PLANT SCI : 2015 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)ER-C-1-20170209 |k ER-C-1 |l Physik Nanoskaliger Systeme |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)ER-C-1-20170209 |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|