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Transcriptional Profiles of Secondary Metabolite Biosynthesis Genes and Cytochromes in the Leaves of Four Papaver Species

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  • Dowan Kim

    (Genomics Division, National Institute of Agricultural Science, RDA, 370, Nongsaengmyeong-ro, Wansan-gu, Jeonju-si, Jeollabuk-do 54874, Korea
    These authors contributed equally to this study.)

  • Myunghee Jung

    (Research and Development Center, Insilicogen Inc., Yongin-si, Gyeonggi-do 16954, Korea
    Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
    These authors contributed equally to this study.)

  • In Jin Ha

    (Korean Medicine Clinical Trial Center (K-CTC), Kyung Hee University Korean Medicine Hospital, Seoul 02447, Korea)

  • Min Young Lee

    (Korean Medicine Clinical Trial Center (K-CTC), Kyung Hee University Korean Medicine Hospital, Seoul 02447, Korea)

  • Seok-Geun Lee

    (Korean Medicine Clinical Trial Center (K-CTC), Kyung Hee University Korean Medicine Hospital, Seoul 02447, Korea
    KHU-KIST Department of Converging Science & Technology, Kyung Hee University, Seoul 02447, Korea)

  • Younhee Shin

    (Research and Development Center, Insilicogen Inc., Yongin-si, Gyeonggi-do 16954, Korea
    Department of Biological Sciences, Sungkyunkwan University, Suwon 16419, Korea)

  • Sathiyamoorthy Subramaniyam

    (Research and Development Center, Insilicogen Inc., Yongin-si, Gyeonggi-do 16954, Korea)

  • Jaehyeon Oh

    (Genomics Division, National Institute of Agricultural Science, RDA, 370, Nongsaengmyeong-ro, Wansan-gu, Jeonju-si, Jeollabuk-do 54874, Korea)

Abstract

Poppies are well-known plants in the family Papaveraceae that are rich in alkaloids. This family contains 61 species, and in this study we sequenced the transcriptomes of four species’ ( Papaver rhoeas , Papaver nudicaule , Papaver fauriei , and Papaver somniferum ) leaves. These transcripts were systematically assessed for the expression of secondary metabolite biosynthesis (SMB) genes and cytochromes, and their expression profiles were assessed for use in bioinformatics analyses. This study contributed 265 Gb (13 libraries with three biological replicates) of leaf transcriptome data from three Papaver plant developmental stages. Sequenced transcripts were assembled into 815 Mb of contigs, including 226 Mb of full-length transcripts. The transcripts for 53 KEGG pathways, 55 cytochrome superfamilies, and benzylisoquinoline alkaloid biosynthesis (BIA) were identified and compared to four other alkaloid-rich genomes. Additionally, 22 different alkaloids and their relative expression profiles in three developmental stages of Papaver species were assessed by targeted metabolomics using LC-QTOF-MS/MS. Collectively, the results are given in co-occurrence heat-maps to help researchers obtain an overview of the transcripts and their differential expression in the Papaver development life cycle, particularly in leaves. Moreover, this dataset will be a valuable resource to derive hypotheses to mitigate an array of Papaver developmental and secondary metabolite biosynthesis issues in the future.

Suggested Citation

  • Dowan Kim & Myunghee Jung & In Jin Ha & Min Young Lee & Seok-Geun Lee & Younhee Shin & Sathiyamoorthy Subramaniyam & Jaehyeon Oh, 2018. "Transcriptional Profiles of Secondary Metabolite Biosynthesis Genes and Cytochromes in the Leaves of Four Papaver Species," Data, MDPI, vol. 3(4), pages 1-15, November.
  • Handle: RePEc:gam:jdataj:v:3:y:2018:i:4:p:55-:d:186225
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    References listed on IDEAS

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    1. Sean R Eddy, 2011. "Accelerated Profile HMM Searches," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-16, October.
    2. Yanran Li & Christina D. Smolke, 2016. "Engineering biosynthesis of the anticancer alkaloid noscapine in yeast," Nature Communications, Nature, vol. 7(1), pages 1-14, November.
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