Rickettsia sequences

Cotes-Perdomo, Andrea, C, Juan, ardenas-Carreno ˜, Hoyos, Juliana, Gonz, Camila, alez & Castro, Lyda R., 2022, Molecular detection of Candidatus Rickettsia colombianensi in ticks (Acari, Ixodidae) collected from herpetofauna in San Juan de Carare, Colombia, International Journal for Parasitology: Parasites and Wildlife 19, pp. 110-114 : 111

2.5. Analyses of tick and Rickettsia sequences

Tick sequences were verified using the BLAST tool (www.ncbi.nlm. nih.gov/Blast.cgi). Rickettsia sequences were also verified using BLAST (www.ncbi.nlm.nih.gov) and subsequently edited with the ProSeq V3 software ( Filatov, 2009) and Geneious Prime 2022.0.2 (https://www.geneious.com). The ClustalW algorithm ( Thompson et al., 1994), implemented in MEGA11 program ( Tamura et al., 2021), was used for the alignment of the Rickettsia sequences obtained in the present study and others available in GenBank (Supplementary Table 3). A phylogenetic reconstruction by Bayesian inference and maximum likelihood was performed using the programs MrBayes 3.2.2 ( Ronquist et al., 2012) and RAxML 8.0.24 ( Stamatakis, 2006) respectively, using a concatenated data set of the three genes. The best partition schemes and the most suitable substitution models were chosen using the Partition Finder program ( Lanfear et al., 2012), according to the Bayesian Information Criterion ( Schwarz, 1978). The GTR + G model was used for all the positions in the three genes.