Capturing the Alternative Cleavage and Polyadenylation Sites of 14 NAC Genes in Populus Using a Combination of 3'-RACE and High-Throughput Sequencing.
Identifieur interne : 001021 ( Main/Exploration ); précédent : 001020; suivant : 001022Capturing the Alternative Cleavage and Polyadenylation Sites of 14 NAC Genes in Populus Using a Combination of 3'-RACE and High-Throughput Sequencing.
Auteurs : Haoran Wang [République populaire de Chine] ; Mingxiu Wang [République populaire de Chine] ; Qiang Cheng [République populaire de Chine]Source :
- Molecules (Basel, Switzerland) [ 1420-3049 ] ; 2018.
Descripteurs français
- KwdFr :
- ARN messager (génétique), Analyse de profil d'expression de gènes (MeSH), Facteurs de transcription (génétique), Famille multigénique (MeSH), Polyadénylation (MeSH), Populus (génétique), Reproductibilité des résultats (MeSH), Sites d'épissage d'ARN (MeSH), Séquençage nucléotidique à haut débit (MeSH), Transcriptome (MeSH), Épissage alternatif (MeSH).
- MESH :
English descriptors
- KwdEn :
- Alternative Splicing (MeSH), Gene Expression Profiling (MeSH), High-Throughput Nucleotide Sequencing (MeSH), Multigene Family (MeSH), Polyadenylation (MeSH), Populus (genetics), RNA Splice Sites (MeSH), RNA, Messenger (genetics), Reproducibility of Results (MeSH), Transcription Factors (genetics), Transcriptome (MeSH).
- MESH :
- chemical , genetics : RNA, Messenger, Transcription Factors.
- chemical : RNA Splice Sites.
- genetics : Populus.
- Alternative Splicing, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Multigene Family, Polyadenylation, Reproducibility of Results, Transcriptome.
Abstract
Detection of complex splice sites (SSs) and polyadenylation sites (PASs) of eukaryotic genes is essential for the elucidation of gene regulatory mechanisms. Transcriptome-wide studies using high-throughput sequencing (HTS) have revealed prevalent alternative splicing (AS) and alternative polyadenylation (APA) in plants. However, small-scale and high-depth HTS aimed at detecting genes or gene families are very few and limited. We explored a convenient and flexible method for profiling SSs and PASs, which combines rapid amplification of 3'-cDNA ends (3'-RACE) and HTS. Fourteen NAC (NAM, ATAF1/2, CUC2) transcription factor genes of Populus trichocarpa were analyzed by 3'-RACE-seq. Based on experimental reproducibility, boundary sequence analysis and reverse transcription PCR (RT-PCR) verification, only canonical SSs were considered to be authentic. Based on stringent criteria, candidate PASs without any internal priming features were chosen as authentic PASs and assumed to be PAS-rich markers. Thirty-four novel canonical SSs, six intronic/internal exons and thirty 3'-UTR PAS-rich markers were revealed by 3'-RACE-seq. Using 3'-RACE and real-time PCR, we confirmed that three APA transcripts ending in/around PAS-rich markers were differentially regulated in response to plant hormones. Our results indicate that 3'-RACE-seq is a robust and cost-effective method to discover SSs and label active regions subjected to APA for genes or gene families. The method is suitable for small-scale AS and APA research in the initial stage.
DOI: 10.3390/molecules23030608
PubMed: 29518015
PubMed Central: PMC6017670
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<front><div type="abstract" xml:lang="en">Detection of complex splice sites (SSs) and polyadenylation sites (PASs) of eukaryotic genes is essential for the elucidation of gene regulatory mechanisms. Transcriptome-wide studies using high-throughput sequencing (HTS) have revealed prevalent alternative splicing (AS) and alternative polyadenylation (APA) in plants. However, small-scale and high-depth HTS aimed at detecting genes or gene families are very few and limited. We explored a convenient and flexible method for profiling SSs and PASs, which combines rapid amplification of 3'-cDNA ends (3'-RACE) and HTS. Fourteen NAC (NAM, ATAF1/2, CUC2) transcription factor genes of <i>Populus trichocarpa</i>
were analyzed by 3'-RACE-seq. Based on experimental reproducibility, boundary sequence analysis and reverse transcription PCR (RT-PCR) verification, only canonical SSs were considered to be authentic. Based on stringent criteria, candidate PASs without any internal priming features were chosen as authentic PASs and assumed to be PAS-rich markers. Thirty-four novel canonical SSs, six intronic/internal exons and thirty 3'-UTR PAS-rich markers were revealed by 3'-RACE-seq. Using 3'-RACE and real-time PCR, we confirmed that three APA transcripts ending in/around PAS-rich markers were differentially regulated in response to plant hormones. Our results indicate that 3'-RACE-seq is a robust and cost-effective method to discover SSs and label active regions subjected to APA for genes or gene families. The method is suitable for small-scale AS and APA research in the initial stage.</div>
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<Abstract><AbstractText>Detection of complex splice sites (SSs) and polyadenylation sites (PASs) of eukaryotic genes is essential for the elucidation of gene regulatory mechanisms. Transcriptome-wide studies using high-throughput sequencing (HTS) have revealed prevalent alternative splicing (AS) and alternative polyadenylation (APA) in plants. However, small-scale and high-depth HTS aimed at detecting genes or gene families are very few and limited. We explored a convenient and flexible method for profiling SSs and PASs, which combines rapid amplification of 3'-cDNA ends (3'-RACE) and HTS. Fourteen NAC (NAM, ATAF1/2, CUC2) transcription factor genes of <i>Populus trichocarpa</i>
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<ReferenceList><Reference><Citation>Plant Cell. 2001 Jun;13(6):1427-36</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11402170</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Plant Microbe Interact. 2010 Aug;23(8):991-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20615110</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Front Plant Sci. 2012 Jan 04;2:109</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22629268</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2002 Apr 30;99(9):6152-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11972056</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2010 Jan;20(1):45-58</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19858364</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Physiol. 2016 Jan;170(1):586-99</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26582726</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2009 May 1;25(9):1105-11</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19289445</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Brief Bioinform. 2013 Mar;14(2):193-202</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22445902</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell. 1997 May 30;89(5):737-45</Citation>
<ArticleIdList><ArticleId IdType="pubmed">9182761</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Protoc. 2008;3(6):1101-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18546601</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2012 Jun;22(6):1184-95</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22391557</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2011 Jul 26;108(30):12533-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21746925</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Methods Mol Biol. 2015;1255:135-44</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25487210</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2014 Apr 3;508(7494):66-71</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24476825</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2013 Oct;25(10):3640-56</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24179132</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2014 Sep;26(9):3472-87</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25248552</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2013 Oct;25(10):3657-83</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24179125</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Wiley Interdiscip Rev RNA. 2012 May-Jun;3(3):385-96</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22012871</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2010 Jan 28;463(7280):457-63</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20110989</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2015 Jul;25(7):995-1007</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25934563</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2012 Sep;22(9):1698-710</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22955982</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Struct Mol Biol. 2012 Aug;19(8):845-52</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22820990</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 1999 May;11(5):949-56</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10330478</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 1995 Apr 25;92(9):3814-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7731989</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Rev Genet. 2013 Jul;14(7):496-506</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23774734</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2014 Jul 21;15:615</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25048171</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Cell. 2002 Feb 22;108(4):501-12</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11909521</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2013 Oct 01;8(10):e74183</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24098335</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Protoc. 2006;1(6):2742-5</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17406530</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2017 Aug;27(8):1427-1436</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28522613</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Genome Res. 2016 Dec;26(12):1753-1760</Citation>
<ArticleIdList><ArticleId IdType="pubmed">27733415</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Cell. 2017 Jun;29(6):1262-1277</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28559476</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Anal Biochem. 1995 May 20;227(2):255-73</Citation>
<ArticleIdList><ArticleId IdType="pubmed">7573945</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Plant Biol. 2014 Apr 17;14:99</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24739459</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2014 Dec 20;15:1151</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25526808</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Plant Physiol. 2016 Feb;170(2):947-55</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26620523</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
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<tree><country name="République populaire de Chine"><noRegion><name sortKey="Wang, Haoran" sort="Wang, Haoran" uniqKey="Wang H" first="Haoran" last="Wang">Haoran Wang</name>
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<name sortKey="Cheng, Qiang" sort="Cheng, Qiang" uniqKey="Cheng Q" first="Qiang" last="Cheng">Qiang Cheng</name>
<name sortKey="Wang, Mingxiu" sort="Wang, Mingxiu" uniqKey="Wang M" first="Mingxiu" last="Wang">Mingxiu Wang</name>
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