Literature DB >> 34283859

Transcriptome and proteome of the corm, leaf and flower of Hypoxis hemerocallidea (African potato).

Mihai-Silviu Tomescu1, Selisha Ann Sooklal2, Thuto Ntsowe3, Previn Naicker4, Barbara Darnhofer5,6,7, Robert Archer8, Stoyan Stoychev4, Dirk Swanevelder3, Ruth Birner-Grünberger5,6,7, Karl Rumbold1.   

Abstract

The corm of Hypoxis hemerocallidea, commonly known as the African potato, is used in traditional medicine to treat several medical conditions such as urinary infections, benign prostate hyperplasia, inflammatory conditions and testicular tumours. The metabolites contributing to the medicinal properties of H. hemerocallidea have been identified in several studies and, more recently, the active terpenoids of the plant were profiled. However, the biosynthetic pathways and the enzymes involved in the production of the terpene metabolites in H. hemerocallidea have not been characterised at a transcriptomic or proteomic level. In this study, total RNA extracted from the corm, leaf and flower tissues of H. hemerocallidea was sequenced on the Illumina HiSeq 2500 platform. A total of 143,549 transcripts were assembled de novo using Trinity and 107,131 transcripts were functionally annotated using the nr, GO, COG, KEGG and SWISS-PROT databases. Additionally, the proteome of the three tissues were sequenced using LC-MS/MS, revealing aspects of secondary metabolism and serving as data validation for the transcriptome. Functional annotation led to the identification of numerous terpene synthases such as nerolidol synthase, germacrene D synthase, and cycloartenol synthase amongst others. Annotations also revealed a transcript encoding the terpene synthase phytoalexin momilactone A synthase. Differential expression analysis using edgeR identified 946 transcripts differentially expressed between the three tissues and revealed that the leaf upregulates linalool synthase compared to the corm and the flower tissues. The transcriptome as well as the proteome of Hypoxis hemerocallidea presented here provide a foundation for future research.

Entities:  

Year:  2021        PMID: 34283859     DOI: 10.1371/journal.pone.0253741

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  41 in total

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Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  Tricine-SDS-PAGE.

Authors:  Hermann Schägger
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

4.  De novo transcriptome sequencing in Salvia miltiorrhiza to identify genes involved in the biosynthesis of active ingredients.

Authors:  Hua Wenping; Zhang Yuan; Song Jie; Zhao Lijun; Wang Zhezhi
Journal:  Genomics       Date:  2011-04-05       Impact factor: 5.736

5.  Cytokine production in human and rat macrophages and dicatechol rooperol and esters.

Authors:  A Guzdek; E Nizankowska; A C Allison; P B Kruger; A Koj
Journal:  Biochem Pharmacol       Date:  1996-10-11       Impact factor: 5.858

6.  New approach for understanding genome variations in KEGG.

Authors:  Minoru Kanehisa; Yoko Sato; Miho Furumichi; Kanae Morishima; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

7.  High-throughput sequencing of black pepper root transcriptome.

Authors:  Sheila M C Gordo; Daniel G Pinheiro; Edith C O Moreira; Simone M Rodrigues; Marli C Poltronieri; Oriel F de Lemos; Israel Tojal da Silva; Rommel T J Ramos; Artur Silva; Horacio Schneider; Wilson A Silva; Iracilda Sampaio; Sylvain Darnet
Journal:  BMC Plant Biol       Date:  2012-09-17       Impact factor: 4.215

8.  Blast2GO: A comprehensive suite for functional analysis in plant genomics.

Authors:  Ana Conesa; Stefan Götz
Journal:  Int J Plant Genomics       Date:  2008

9.  An extensive evaluation of read trimming effects on Illumina NGS data analysis.

Authors:  Cristian Del Fabbro; Simone Scalabrin; Michele Morgante; Federico M Giorgi
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

10.  Selecting Superior De Novo Transcriptome Assemblies: Lessons Learned by Leveraging the Best Plant Genome.

Authors:  Loren A Honaas; Eric K Wafula; Norman J Wickett; Joshua P Der; Yeting Zhang; Patrick P Edger; Naomi S Altman; J Chris Pires; James H Leebens-Mack; Claude W dePamphilis
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

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