RESEARCH ARTICLE Combining and Comparing Coalescent, Distance and Character-Based Approaches for Barcoding Microalgaes: A Test with Chlorella-Like Species (Chlorophyta) Shanmei Zou, Cong Fei, Jiameng Song, Yachao Bao, Meilin He, Changhai Wang* Jiangsu Provincial Key Laboratory of Marine Biology, College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095, PR China a11111 *
[email protected] Abstract Several different barcoding methods of distinguishing species have been advanced, but which method is the best is still controversial. Chlorella is becoming particularly promising in the OPEN ACCESS development of second-generation biofuels. However, the taxonomy of Chlorella–like organ- Citation: Zou S, Fei C, Song J, Bao Y, He M, Wang isms is easily confused. Here we report a comprehensive barcoding analysis of Chlorella-like C (2016) Combining and Comparing Coalescent, Distance and Character-Based Approaches for species from Chlorella, Chloroidium, Dictyosphaerium and Actinastrum based on rbcL,ITS, Barcoding Microalgaes: A Test with Chlorella-Like tufA and 16S sequences to test the efficiency of traditional barcoding, GMYC, ABGD, PTP, P Species (Chlorophyta). PLoS ONE 11(4): e0153833. ID and character-based barcoding methods. First of all, the barcoding results gave new doi:10.1371/journal.pone.0153833 insights into the taxonomic assessment of Chlorella-like organisms studied, including the clear Editor: Peter Prentis, Queensland University of species discrimination and resolution of potentially cryptic species complexes in C. sorokini- Technology, AUSTRALIA ana, D. ehrenbergianum and C. Vulgaris.ThetufA proved to be the most efficient barcoding Received: November 17, 2015 locus, which thus could be as potential “specific barcode” for Chlorella-like species.