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ABSTRACT. African swine fever virus (ASFV) outbreak has been considered as an emerging and re-emerging disease for almost a century. Diagnostically, simple polymerase chain reaction and sequencing-based molecular detection could be employed for both viral identification and genotyping. This study established a novel phylogenetic analysis and epidemiology comparison based on 205 bp of p72 gene sequences. Based on this partial p72 fragment, an updated list of 44 different genotypes from a total of 516 ASFV sequences compiled from GenBank was generated. Nucleotide diversity was 0.04325 ± 0.00231. The analysis of spatial genetic variation divided the ASFV populations of the African continent into four clades (clade A: central and upper eastern Africa; clade B: eastern Africa; clade C: eastern and southern Africa; and clade D: southern Africa). These results and the developed protocol could serve as useful molecular tools for ASFV diagnosis from degraded DNA or putrefied samples, and also 4567 Phylogeographic analysis of African swine fever virus ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (2): 4566-4574 (2015) provide the phylogeographic perspective to identify the origin of viral outbreaks, facilitating the decision planning to limit their spread.

Sarcocystis species are heteroxenous cyst-forming coccidian protozoan parasites with a wide host range, including rodents. In this study, Sarcocystis spp. samples were isolated from Bandicota indica, Rattus argentiventer, R. tiomanicus and R. norvegicus across five provinces of Thailand. Two major groups of Sarcocystis cysts were determined in this study: large and small cysts. By sequence comparisons and phylogenetic analyses based on the partial sequences of 28S ribosomal DNA, the large cysts showed the highest identity value (99%) with the S. zamani in GenBank database. While the small cysts could be divided into 2 groups of Sarcocystis: S. singaporensis and presupposed S. zuoi. The further analysis on 18S rDNA supported that the 2 isolates (S2 and B6 no.2) were as identified as S. singaporensis shared a high sequence identity with the S. singaporensis in GenBank database and the unidentified Sarcocystis (4 isolates, i.e., B6 no.10, B6 no.12, B10 no.4 and B10 no.7) showed 96.3–99.5% identity to S. zuoi as well as high distinct identity from others Sarcocystis spp. (≤93%). The result indicated that these four samples should be S. zuoi. In this study, we provided complete sequence of internal transcribed spacer 1 (ITS1), 5.8S rDNA and internal transcribed spacer 2 (ITS2) of these three Sarcocystis species and our new primer set could be useful to study the evolution of Sarcocystis.