Dataset Information

Morphological and molecular datasets for Kaempferia species.

ABSTRACT: This study compared morphological and molecular data for identification of Kaempferia species. Each species was deposited in Institute of Bioscience (IBS), Universiti Putra Malaysia (UPM) as voucher specimens and ITS sequences of each species deposited in NCBI (https://www.ncbi.nlm.nih.gov/) as GenBank accessions. DNA was extracted using a modified CTAB method and PCR amplification was completed using Internal Transcribed Spacer (ITS4 and ITS5) markers. PCR amplification of products were viewed under gel electrophoresis. Sequencing was performed and sequence characteristics of ITS rDNA in Kaempferia is shown. Qualitative and qualitative scoring of morphological characters and measuring techniques for Kaempferia species are included. In addition, a brief review of molecular markers used in phylogenetic studies of Zingiberaceae is included in this dataset.

SUBMITTER: Labrooy C

PROVIDER: S-EPMC6247442 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Morphological and molecular datasets for <i>Kaempferia</i> species.

Labrooy Catherine C Abdullah Thohirah Lee TL Stanslas Johnson J

Data in brief 20181027

This study compared morphological and molecular data for identification of <i>Kaempferia</i> species. Each species was deposited in Institute of Bioscience (IBS), Universiti Putra Malaysia (UPM) as voucher specimens and ITS sequences of each species deposited in NCBI (https://www.ncbi.nlm.nih.gov/) as GenBank accessions. DNA was extracted using a modified CTAB method and PCR amplification was completed using Internal Transcribed Spacer (ITS4 and ITS5) markers. PCR amplification of products were ...[more]

PMID: 30505900

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Project description:Kaempferia galanga and Kaempferia elegans, which belong to the genus Kaempferia family Zingiberaceae, are used as valuable herbal medicine and ornamental plants, respectively. The chloroplast genomes have been used for molecular markers, species identification and phylogenetic studies. In this study, the complete chloroplast genome sequences of K. galanga and K. elegans are reported. Results show that the complete chloroplast genome of K. galanga is 163,811 bp long, having a quadripartite structure with large single copy (LSC) of 88,405 bp and a small single copy (SSC) of 15,812 bp separated by inverted repeats (IRs) of 29,797 bp. Similarly, the complete chloroplast genome of K. elegans is 163,555 bp long, having a quadripartite structure in which IRs of 29,773 bp length separates 88,020 bp of LSC and 15,989 bp of SSC. A total of 111 genes in K. galanga and 113 genes in K. elegans comprised 79 protein-coding genes and 4 ribosomal RNA (rRNA) genes, as well as 28 and 30 transfer RNA (tRNA) genes in K. galanga and K. elegans, respectively. The gene order, GC content and orientation of the two Kaempferia chloroplast genomes exhibited high similarity. The location and distribution of simple sequence repeats (SSRs) and long repeat sequences were determined. Eight highly variable regions between the two Kaempferia species were identified and 643 mutation events, including 536 single-nucleotide polymorphisms (SNPs) and 107 insertion/deletions (indels), were accurately located. Sequence divergences of the whole chloroplast genomes were calculated among related Zingiberaceae species. The phylogenetic analysis based on SNPs among eleven species strongly supported that K. galanga and K. elegans formed a cluster within Zingiberaceae. This study identified the unique characteristics of the entire K. galanga and K. elegans chloroplast genomes that contribute to our understanding of the chloroplast DNA evolution within Zingiberaceae species. It provides valuable information for phylogenetic analysis and species identification within genus Kaempferia.

Project description:Molecular biodiversity surveys have been increasingly applied in hyperdiverse tropical regions as an efficient tool for rapid species assessment of partially undiscovered fauna and flora. This is done by overcoming shortfalls in knowledge or availability of reproductive structures during the sampling period, which often represents a bottleneck for accurate specimens' identification. DNA sequencing technology is intensifying species discovery, and in combination with morphological identification, has been filling gaps in taxonomic knowledge and facilitating species inventories of tropical ecosystems. This study aimed to apply morphological taxonomy and DNA barcoding to assess the occurrence of Lamiaceae species in converted land-use systems (old-growth forest, jungle rubber, rubber, and oil palm) in Sumatra, Indonesia. In this species inventory, we detected 89 specimens of Lamiaceae from 18 species distributed in seven subfamilies from the Lamiaceae group. One third of the species identified in this study lacked sequences in the reference database for at least one of the markers used (matK, rbcL, and ITS). The three loci species-tree recovered a total of 12 out of the 18 species as monophyletic lineages and can be employed as a suitable approach for molecular species assignment in Lamiaceae. However, for taxa with a low level of interspecific genetic distance in the barcode regions used in this study, such as Vitex gamosepala Griff. and V. vestita Wall. ex Walp., or Callicarpa pentandra Roxb. and C. candidans (Burm.f.) Hochr., the use of traditional taxonomy remains indispensable. A change in species composition and decline in abundance is associated with an increase in land-use intensification at the family level (i.e., Lamiaceae), and this tendency might be constant across other plant families. For this reason, the maintenance of forest genetic resources needs to be considered for sustainable agricultural production, especially in hyperdiverse tropical regions. Additionally, with this change in species composition, accurate species identification throughout molecular assignments will become more important for conservation planning.

Dataset Information

Morphological and molecular datasets for Kaempferia species.

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Morphological and molecular datasets for <i>Kaempferia</i> species.

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