Perigone Lobe Transcriptome Analysis Provides Insights into Rafflesia cantleyi Flower Development
Rafflesia is a biologically enigmatic species that is very rare in occurrence and possesses an extraordinary morphology. This parasitic plant produces a gigantic flower up to one metre in diameter with no leaves, stem or roots. However, little is known about the floral biology of this species especi...
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creator | Lee, Xin-Wei Mat-Isa, Mohd-Noor Mohd-Elias, Nur-Atiqah Aizat-Juhari, Mohd Afiq Goh, Hoe-Han Dear, Paul H Chow, Keng-See Haji Adam, Jumaat Mohamed, Rahmah Firdaus-Raih, Mohd Wan, Kiew-Lian |
description | Rafflesia is a biologically enigmatic species that is very rare in occurrence and possesses an extraordinary morphology. This parasitic plant produces a gigantic flower up to one metre in diameter with no leaves, stem or roots. However, little is known about the floral biology of this species especially at the molecular level. In an effort to address this issue, we have generated and characterised the transcriptome of the Rafflesia cantleyi flower, and performed a comparison with the transcriptome of its floral bud to predict genes that are expressed and regulated during flower development. Approximately 40 million sequencing reads were generated and assembled de novo into 18,053 transcripts with an average length of 641 bp. Of these, more than 79% of the transcripts had significant matches to annotated sequences in the public protein database. A total of 11,756 and 7,891 transcripts were assigned to Gene Ontology categories and clusters of orthologous groups respectively. In addition, 6,019 transcripts could be mapped to 129 pathways in Kyoto Encyclopaedia of Genes and Genomes Pathway database. Digital abundance analysis identified 52 transcripts with very high expression in the flower transcriptome of R. cantleyi. Subsequently, analysis of differential expression between developing flower and the floral bud revealed a set of 105 transcripts with potential role in flower development. Our work presents a deep transcriptome resource analysis for the developing flower of R. cantleyi. Genes potentially involved in the growth and development of the R. cantleyi flower were identified and provide insights into biological processes that occur during flower development. |
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This parasitic plant produces a gigantic flower up to one metre in diameter with no leaves, stem or roots. However, little is known about the floral biology of this species especially at the molecular level. In an effort to address this issue, we have generated and characterised the transcriptome of the Rafflesia cantleyi flower, and performed a comparison with the transcriptome of its floral bud to predict genes that are expressed and regulated during flower development. Approximately 40 million sequencing reads were generated and assembled de novo into 18,053 transcripts with an average length of 641 bp. Of these, more than 79% of the transcripts had significant matches to annotated sequences in the public protein database. A total of 11,756 and 7,891 transcripts were assigned to Gene Ontology categories and clusters of orthologous groups respectively. In addition, 6,019 transcripts could be mapped to 129 pathways in Kyoto Encyclopaedia of Genes and Genomes Pathway database. Digital abundance analysis identified 52 transcripts with very high expression in the flower transcriptome of R. cantleyi. Subsequently, analysis of differential expression between developing flower and the floral bud revealed a set of 105 transcripts with potential role in flower development. Our work presents a deep transcriptome resource analysis for the developing flower of R. cantleyi. Genes potentially involved in the growth and development of the R. cantleyi flower were identified and provide insights into biological processes that occur during flower development.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0167958</identifier><identifier>PMID: 27977777</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Arabidopsis ; Biological activity ; Biology ; Biology and Life Sciences ; Biotechnology ; Data bases ; Encyclopedias ; Flowers & plants ; Flowers - genetics ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Plant - genetics ; Genes ; Genetic aspects ; Genomes ; Genomics ; Kinases ; Laboratories ; Leaves ; Magnoliophyta ; Magnoliopsida - genetics ; Oryza ; Parasitic plants ; Plant flowering ; Proteins ; Rafflesia ; Research and Analysis Methods ; Science ; Selenium ; Transcription factors ; Transcriptome - genetics</subject><ispartof>PloS one, 2016-12, Vol.11 (12), p.e0167958-e0167958</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Lee et al 2016 Lee et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-7b7851b0617714dfdcf7c3f3fed6e06e48a6dfd02dd2fc9f129f040d17366afa3</citedby><cites>FETCH-LOGICAL-c725t-7b7851b0617714dfdcf7c3f3fed6e06e48a6dfd02dd2fc9f129f040d17366afa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5158018/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5158018/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27977777$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Min, Xiang Jia</contributor><creatorcontrib>Lee, Xin-Wei</creatorcontrib><creatorcontrib>Mat-Isa, Mohd-Noor</creatorcontrib><creatorcontrib>Mohd-Elias, Nur-Atiqah</creatorcontrib><creatorcontrib>Aizat-Juhari, Mohd Afiq</creatorcontrib><creatorcontrib>Goh, Hoe-Han</creatorcontrib><creatorcontrib>Dear, Paul H</creatorcontrib><creatorcontrib>Chow, Keng-See</creatorcontrib><creatorcontrib>Haji Adam, Jumaat</creatorcontrib><creatorcontrib>Mohamed, Rahmah</creatorcontrib><creatorcontrib>Firdaus-Raih, Mohd</creatorcontrib><creatorcontrib>Wan, Kiew-Lian</creatorcontrib><title>Perigone Lobe Transcriptome Analysis Provides Insights into Rafflesia cantleyi Flower Development</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Rafflesia is a biologically enigmatic species that is very rare in occurrence and possesses an extraordinary morphology. This parasitic plant produces a gigantic flower up to one metre in diameter with no leaves, stem or roots. However, little is known about the floral biology of this species especially at the molecular level. In an effort to address this issue, we have generated and characterised the transcriptome of the Rafflesia cantleyi flower, and performed a comparison with the transcriptome of its floral bud to predict genes that are expressed and regulated during flower development. Approximately 40 million sequencing reads were generated and assembled de novo into 18,053 transcripts with an average length of 641 bp. Of these, more than 79% of the transcripts had significant matches to annotated sequences in the public protein database. A total of 11,756 and 7,891 transcripts were assigned to Gene Ontology categories and clusters of orthologous groups respectively. In addition, 6,019 transcripts could be mapped to 129 pathways in Kyoto Encyclopaedia of Genes and Genomes Pathway database. Digital abundance analysis identified 52 transcripts with very high expression in the flower transcriptome of R. cantleyi. Subsequently, analysis of differential expression between developing flower and the floral bud revealed a set of 105 transcripts with potential role in flower development. Our work presents a deep transcriptome resource analysis for the developing flower of R. cantleyi. Genes potentially involved in the growth and development of the R. cantleyi flower were identified and provide insights into biological processes that occur during flower development.</description><subject>Arabidopsis</subject><subject>Biological activity</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Biotechnology</subject><subject>Data bases</subject><subject>Encyclopedias</subject><subject>Flowers & plants</subject><subject>Flowers - genetics</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Plant - genetics</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Kinases</subject><subject>Laboratories</subject><subject>Leaves</subject><subject>Magnoliophyta</subject><subject>Magnoliopsida - genetics</subject><subject>Oryza</subject><subject>Parasitic plants</subject><subject>Plant flowering</subject><subject>Proteins</subject><subject>Rafflesia</subject><subject>Research and Analysis Methods</subject><subject>Science</subject><subject>Selenium</subject><subject>Transcription factors</subject><subject>Transcriptome - 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genetics</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Plant - genetics</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Kinases</topic><topic>Laboratories</topic><topic>Leaves</topic><topic>Magnoliophyta</topic><topic>Magnoliopsida - genetics</topic><topic>Oryza</topic><topic>Parasitic plants</topic><topic>Plant flowering</topic><topic>Proteins</topic><topic>Rafflesia</topic><topic>Research and Analysis Methods</topic><topic>Science</topic><topic>Selenium</topic><topic>Transcription factors</topic><topic>Transcriptome - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Xin-Wei</creatorcontrib><creatorcontrib>Mat-Isa, Mohd-Noor</creatorcontrib><creatorcontrib>Mohd-Elias, Nur-Atiqah</creatorcontrib><creatorcontrib>Aizat-Juhari, Mohd Afiq</creatorcontrib><creatorcontrib>Goh, Hoe-Han</creatorcontrib><creatorcontrib>Dear, Paul H</creatorcontrib><creatorcontrib>Chow, Keng-See</creatorcontrib><creatorcontrib>Haji Adam, Jumaat</creatorcontrib><creatorcontrib>Mohamed, Rahmah</creatorcontrib><creatorcontrib>Firdaus-Raih, Mohd</creatorcontrib><creatorcontrib>Wan, Kiew-Lian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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This parasitic plant produces a gigantic flower up to one metre in diameter with no leaves, stem or roots. However, little is known about the floral biology of this species especially at the molecular level. In an effort to address this issue, we have generated and characterised the transcriptome of the Rafflesia cantleyi flower, and performed a comparison with the transcriptome of its floral bud to predict genes that are expressed and regulated during flower development. Approximately 40 million sequencing reads were generated and assembled de novo into 18,053 transcripts with an average length of 641 bp. Of these, more than 79% of the transcripts had significant matches to annotated sequences in the public protein database. A total of 11,756 and 7,891 transcripts were assigned to Gene Ontology categories and clusters of orthologous groups respectively. In addition, 6,019 transcripts could be mapped to 129 pathways in Kyoto Encyclopaedia of Genes and Genomes Pathway database. Digital abundance analysis identified 52 transcripts with very high expression in the flower transcriptome of R. cantleyi. Subsequently, analysis of differential expression between developing flower and the floral bud revealed a set of 105 transcripts with potential role in flower development. Our work presents a deep transcriptome resource analysis for the developing flower of R. cantleyi. Genes potentially involved in the growth and development of the R. cantleyi flower were identified and provide insights into biological processes that occur during flower development.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27977777</pmid><doi>10.1371/journal.pone.0167958</doi><tpages>e0167958</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Arabidopsis Biological activity Biology Biology and Life Sciences Biotechnology Data bases Encyclopedias Flowers & plants Flowers - genetics Gene expression Gene Expression Profiling Gene Expression Regulation, Plant - genetics Genes Genetic aspects Genomes Genomics Kinases Laboratories Leaves Magnoliophyta Magnoliopsida - genetics Oryza Parasitic plants Plant flowering Proteins Rafflesia Research and Analysis Methods Science Selenium Transcription factors Transcriptome - genetics |
title | Perigone Lobe Transcriptome Analysis Provides Insights into Rafflesia cantleyi Flower Development |
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