Skip to search boxSkip to navigationSkip to main content

Complete sequence and comparative analysis of the chloroplast genome of plinia trunciflora

  • Maria Eguiluz
    ,
  • Priscila Mary Yuyama
    ,
  • ,
  • Nureyev Ferreira Rodrigues
    ,
  • Rogerio Margis(corresponding author)
*Corresponding author for this work
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 871-876 (6 pages)

Journal (Volume, Issue Number)

Genetics and Molecular Biology (Volume 40, Issue 4)

Publication milestones

  • Published - 01/10/2017

Publication status

Published - 01/10/2017

ISSN

1415-4757

Publication IDs

  • Scopus: 85035806075

Abstract

Plinia trunciflora is a Brazilian native fruit tree from the Myrtaceae family, also known as jaboticaba. This species has great potential by its fruit production. Due to the high content of essential oils in their leaves and of anthocyanins in the fruits, there is also an increasing interest by the pharmaceutical industry. Nevertheless, there are few studies focusing on its molecular biology and genetic characterization. We herein report the complete chloroplast (cp) genome of P. trunciflora using high-throughput sequencing and compare it to other previously sequenced Myrtaceae genomes. The cp genome of P. trunciflora is 159,512 bp in size, comprising inverted repeats of 26,414 bp and single-copy regions of 88,097 bp (LSC) and 18,587 bp (SSC). The genome contains 111 single-copy genes (77 protein-coding, 30 tRNA and four rRNA genes). Phylogenetic analysis using 57 cp protein-coding genes demonstrated that P. trunciflora, Eugenia uniflora and Acca sellowiana form a cluster with closer relationship to Syzygium cumini than with Eucalyptus. The complete cp sequence reported here can be used in evolutionary and population genetics studies, contributing to resolve the complex taxonomy of this species and fill the gap in genetic characterization.