Analyses using genomic and transcriptomic data of mads-box genes in Elaeis guineensis
MADS-box genes encode a group of transcription factor family, well known as key regulators of plant vegetative and development processes, including flowering. Here, we aimed at analysing MADS-box genes in African oil palm (Elaeis guineensis) genome, the pre-dominant source of worldwide production...
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ukm-123162018-11-16T12:31:24Z http://journalarticle.ukm.my/12316/ Analyses using genomic and transcriptomic data of mads-box genes in Elaeis guineensis Suhaila Sulaiman, Lee, Yang Ping Kwan, Yen Yen Sharifah Shahrul Rabiah Syed Alwee, MADS-box genes encode a group of transcription factor family, well known as key regulators of plant vegetative and development processes, including flowering. Here, we aimed at analysing MADS-box genes in African oil palm (Elaeis guineensis) genome, the pre-dominant source of worldwide production of vegetable oils. A total of 209 potential MADSbox genes are identified in the published 1.8 Gb E. guineensis draft genome. A de novo assembly of RNA-seq data from inflorescence tissues was constructed using Trinity software. The analysed transcriptome data has validated 36 full-length genes, inclusive of seven transcripts that were previously annotated to encode unknown proteins. Of the 36 genes discovered, 21 genes were characterised as Type I MADS-box genes and phylogenetic analysis using maximum likelihood approach further classified them into three sub-groups of Mα, Mβ and Mγ. Based on in silico analyses, we have successfully identified one gene annotated as unknown protein to contain a domain of “MADS-box transcription factor”. Its differential expression data, comparison between normal and mantled inflorescence of oil palm, suggested the involvement of the gene in the mantling related process. The findings contribute to updated oil palm genome information which may potentially lead to future understanding of the association of MADS-box genes in mantled oil palm. This may also lead to a resource for biomarker discovery. Penerbit Universiti Kebangsaan Malaysia 2017-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12316/1/46_01_23.pdf Suhaila Sulaiman, and Lee, Yang Ping and Kwan, Yen Yen and Sharifah Shahrul Rabiah Syed Alwee, (2017) Analyses using genomic and transcriptomic data of mads-box genes in Elaeis guineensis. Malaysian Applied Biology, 46 (1). pp. 159-163. ISSN 0126-8643 http://www.mabjournal.com/index.php?option=com_content&view=article&id=623&catid=59:current-view&Itemid=56 |
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description |
MADS-box genes encode a group of transcription factor family, well known as key regulators of plant vegetative and
development processes, including flowering. Here, we aimed at analysing MADS-box genes in African oil palm (Elaeis
guineensis) genome, the pre-dominant source of worldwide production of vegetable oils. A total of 209 potential MADSbox
genes are identified in the published 1.8 Gb E. guineensis draft genome. A de novo assembly of RNA-seq data from
inflorescence tissues was constructed using Trinity software. The analysed transcriptome data has validated 36 full-length
genes, inclusive of seven transcripts that were previously annotated to encode unknown proteins. Of the 36 genes discovered,
21 genes were characterised as Type I MADS-box genes and phylogenetic analysis using maximum likelihood approach
further classified them into three sub-groups of Mα, Mβ and Mγ. Based on in silico analyses, we have successfully identified
one gene annotated as unknown protein to contain a domain of “MADS-box transcription factor”. Its differential expression
data, comparison between normal and mantled inflorescence of oil palm, suggested the involvement of the gene in the mantling
related process. The findings contribute to updated oil palm genome information which may potentially lead to future
understanding of the association of MADS-box genes in mantled oil palm. This may also lead to a resource for biomarker
discovery. |
format |
Article |
author |
Suhaila Sulaiman, Lee, Yang Ping Kwan, Yen Yen Sharifah Shahrul Rabiah Syed Alwee, |
spellingShingle |
Suhaila Sulaiman, Lee, Yang Ping Kwan, Yen Yen Sharifah Shahrul Rabiah Syed Alwee, Analyses using genomic and transcriptomic data of mads-box genes in Elaeis guineensis |
author_facet |
Suhaila Sulaiman, Lee, Yang Ping Kwan, Yen Yen Sharifah Shahrul Rabiah Syed Alwee, |
author_sort |
Suhaila Sulaiman, |
title |
Analyses using genomic and transcriptomic data of
mads-box genes in Elaeis guineensis |
title_short |
Analyses using genomic and transcriptomic data of
mads-box genes in Elaeis guineensis |
title_full |
Analyses using genomic and transcriptomic data of
mads-box genes in Elaeis guineensis |
title_fullStr |
Analyses using genomic and transcriptomic data of
mads-box genes in Elaeis guineensis |
title_full_unstemmed |
Analyses using genomic and transcriptomic data of
mads-box genes in Elaeis guineensis |
title_sort |
analyses using genomic and transcriptomic data of
mads-box genes in elaeis guineensis |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2017 |
url |
http://journalarticle.ukm.my/12316/ http://journalarticle.ukm.my/12316/ http://journalarticle.ukm.my/12316/1/46_01_23.pdf |
first_indexed |
2023-09-18T20:02:20Z |
last_indexed |
2023-09-18T20:02:20Z |
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1777406931324895232 |