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Analysis of whole chloroplast genomes from the genera of the Clauseneae, the curry tribe (Rutaceae, Citrus family). | LitMetric

Analysis of whole chloroplast genomes from the genera of the Clauseneae, the curry tribe (Rutaceae, Citrus family).

Mol Phylogenet Evol

Department of Botany and Laboratories of Analytical Biology, National Museum of Natural History, Smithsonian Institution, PO Box 37012, Washington, DC 20013-7012, USA. Electronic address:

Published: December 2017

AI Article Synopsis

Article Abstract

The Clauseneae (Aurantioideae, Rutaceae) is a tribe in the Citrus family that, although economically important as it contains the culinary and medicinally-useful curry tree (Bergera koenigii), has been relatively understudied. Due to the recent significant taxonomic changes made to this tribe, a closer inspection of the genetic relationships among its genera has been warranted. Whole genome skimming was used to generate chloroplast genomes from six species, representing each of the four genera (Bergera, Clausena, Glycosmis, Micromelum) in the Clauseneae tribe plus one closely related outgroup (Merrillia), using the published plastome sequence of Citrus sinensis as a reference. Phylogenetically informative character (PIC) data were analyzed using a genome alignment of the seven species, and variability frequency among the species was recorded for each coding and non-coding region, with the regions of highest variability identified for future phylogenetic studies. Non-coding regions exhibited a higher percentage of variable characters as expected, and the phylogenetic markers ycf1, matK, rpoC2, ndhF, trnS-trnG spacer, and trnH-psbA spacer proved to be among the most variable regions. Other markers that are frequently used in phylogenetic studies, e.g. rps16, atpB-rbcL, rps4-trnT, and trnL-trnF, proved to be far less variable. Phylogenetic analyses of the aligned sequences were conducted using Bayesian inference (MrBayes) and Maximum Likelihood (RAxML), yielding highly supported divisions among the four genera.

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http://dx.doi.org/10.1016/j.ympev.2016.12.015DOI Listing

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