RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass
Melatonin serves important functions in the promotion of growth and anti-stress regulation by efficient radical scavenging and regulation of antioxidant enzyme activity in various plants. To investigate its regulatory roles and metabolism pathways, the transcriptomic profile of overexpressing the ov...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-08-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpls.2016.01289/full |
| _version_ | 1818560801850523648 |
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| author | Shan Yuan Yanhua Huang Cong Guan Sijia Liu Xin Cui Danyang Tian Yunwei Zhang Fuyu Yang |
| author_facet | Shan Yuan Yanhua Huang Cong Guan Sijia Liu Xin Cui Danyang Tian Yunwei Zhang Fuyu Yang |
| author_sort | Shan Yuan |
| collection | DOAJ |
| description | Melatonin serves important functions in the promotion of growth and anti-stress regulation by efficient radical scavenging and regulation of antioxidant enzyme activity in various plants. To investigate its regulatory roles and metabolism pathways, the transcriptomic profile of overexpressing the ovine arylalkylamine N-acetyltransferase (oAANAT) gene, encoding the penultimate enzyme in melatonin biosynthesis, was compared with empty vector (EV) control using RNA-seq in switchgrass, a model plant of cellulosic ethanol conversion. The 85.22 million high quality reads that were assembled into 135,684 unigenes were generated by Illumina sequencing for transgenic oAANAT switchgrass with an average sequence length of 716 bp. A total of 946 differential expression genes (DEGs) in transgenic line comparing to control switchgrass, including 737 up-regulated and 209 down-regulated genes, were mainly enriched with two main functional patterns of melatonin identifying by gene ontology analysis: the growth regulator and stress tolerance. Furthermore, KEGG maps indicated that the biosynthetic pathways of secondary metabolite (phenylpropanoids, flavonoids, steroids, stilbenoid, diarylheptanoid and gingerol) and signaling pathways (MAPK signaling pathway, estrogen signaling pathway) were involved in melatonin metabolism. This study substantially expands the transcriptome information for switchgrass and provides valuable clues for identifying candidate genes involved in melatonin biosynthesis and elucidating the mechanism of melatonin metabolism. |
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| format | Article |
| id | doaj.art-25dcc42dcf644db9872a482980d981e8 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-14T00:42:56Z |
| publishDate | 2016-08-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Plant Science |
| spelling | doaj.art-25dcc42dcf644db9872a482980d981e82022-12-21T23:24:15ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2016-08-01710.3389/fpls.2016.01289219907RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrassShan Yuan0Yanhua Huang1Cong Guan2Sijia Liu3Xin Cui4Danyang Tian5Yunwei Zhang6Fuyu Yang7China Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityChina Agricultural UniversityMelatonin serves important functions in the promotion of growth and anti-stress regulation by efficient radical scavenging and regulation of antioxidant enzyme activity in various plants. To investigate its regulatory roles and metabolism pathways, the transcriptomic profile of overexpressing the ovine arylalkylamine N-acetyltransferase (oAANAT) gene, encoding the penultimate enzyme in melatonin biosynthesis, was compared with empty vector (EV) control using RNA-seq in switchgrass, a model plant of cellulosic ethanol conversion. The 85.22 million high quality reads that were assembled into 135,684 unigenes were generated by Illumina sequencing for transgenic oAANAT switchgrass with an average sequence length of 716 bp. A total of 946 differential expression genes (DEGs) in transgenic line comparing to control switchgrass, including 737 up-regulated and 209 down-regulated genes, were mainly enriched with two main functional patterns of melatonin identifying by gene ontology analysis: the growth regulator and stress tolerance. Furthermore, KEGG maps indicated that the biosynthetic pathways of secondary metabolite (phenylpropanoids, flavonoids, steroids, stilbenoid, diarylheptanoid and gingerol) and signaling pathways (MAPK signaling pathway, estrogen signaling pathway) were involved in melatonin metabolism. This study substantially expands the transcriptome information for switchgrass and provides valuable clues for identifying candidate genes involved in melatonin biosynthesis and elucidating the mechanism of melatonin metabolism.http://journal.frontiersin.org/Journal/10.3389/fpls.2016.01289/fullMelatoninRNA-SeqoverexpressionSwitchgrassoAANAT |
| spellingShingle | Shan Yuan Yanhua Huang Cong Guan Sijia Liu Xin Cui Danyang Tian Yunwei Zhang Fuyu Yang RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass Frontiers in Plant Science Melatonin RNA-Seq overexpression Switchgrass oAANAT |
| title | RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass |
| title_full | RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass |
| title_fullStr | RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass |
| title_full_unstemmed | RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass |
| title_short | RNA-seq analysis of overexpressing ovine AANAT gene of melatonin biosynthesis in switchgrass |
| title_sort | rna seq analysis of overexpressing ovine aanat gene of melatonin biosynthesis in switchgrass |
| topic | Melatonin RNA-Seq overexpression Switchgrass oAANAT |
| url | http://journal.frontiersin.org/Journal/10.3389/fpls.2016.01289/full |
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