For PCR amplification and sequencing of the ITS1/5.8S/-ITS2 and LSU D1/D2 regions, the forward and reverse primers of Adachi et al. (1994) and Scholin et al. (1994) H 89 concentration were used. Each of the purified amplicons was directly sequenced in both directions on either an Applied Biosystems ABI3130XL Genetic Analyzer (16-capillaries) or ABI3730 DNA Analyzer (48-capillaries; Applied Biosystems, Carlsbad, CA, USA). For both instruments, the Applied Biosystems in BigDye® Terminator v3.1 Cycle Sequencing Kit (Part No. 4336921) protocol was followed in conjunction with a subsequent purification step utilizing a Biomek® NXP Laboratory Automation Workstation and

the Agencourt® CleanSEQ kit protocol (Beckman Coulter, Brea, CA, USA). A phylogenetic analysis was undertaken to determine if the ITS1 through D1-D2 Ivacaftor concentration LSU sequences fell into distinct groups corresponding to the morphologically defined species of the A. ostenfeldii/A. peruvinaum complex and to reveal the genetic relationships among the isolates. Prior to the phylogenetic analysis, the 37 ITS1 through D1-D2 LSU sequences (1,256 bp) obtained for each of the algal isolates were aligned using MAFFT (Multiple Alignment with Fast Fourier Transform; Katoh et al. 2009)

as implemented in SeaView (Gouy et al. 2010). The default MAFFT settings were employed. Minor manual adjustments to the final alignment were performed using Chromas Pro (Version 1.5.). A. minutum and A. insuetum were used as outgroups. The resulting alignment is available upon request. An alternative RNA alignment was performed using the Multiple Alignment of RNAs tool (Smith et al. 2010) and representative ITS through D2 LSU sequences for A. affine, A. andersoni, click here A. fundyense, A. insuetum, A. lusitanicum, A. minutum, A. peruvianum, A. ostenfeldii, and A. tamarense from GenBank were used to guide the final alignment of the 37 combined ITS/D1-D2 LSU sequences. Bayesian inference

(BI) was performed using the software MrBayes v3.2 (Ronquist and Huelsenbeck 2003) with the GTR+G substitution model (Rodríguez et al. 1990), selected under the Bayesian Information Criterion (BIC) with jModelTest 0.1.1. (Posada 2008). For priors, we assumed no prior knowledge on the data. Two runs of four chains (three heated and one cold) were executed for 10,150 generations, sampling every 500 trees. In each run, the first 25% of samples were discarded as the burn-in phase. The stability of model parameters and the convergence of the two runs were confirmed using Tracer v1.5 (Rambaut and Drummond 2007). Additionally, a maximum likelihood (ML) phylogenetic tree based on the concatenated alignment was calculated in GARLI 2.0 (Zwickl 2006) with parameters estimated from the data, using an evolutionary model GTR+G, selected under the Akaike Information Criterion (AIC) with jModelTest 0.1.1. (Posada 2008). Tree topology was supported with bootstrap values calculated with 1,000 replicates.