Additional file 2: of Cis regulatory motifs and antisense transcriptional control in the apicomplexan Theileria parva

Supplemental tables with information on motif composition and distribution relative to genes and gene ontology. (PDF 4.11 MB

Additional file 1: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Table S1. Rhipicephalus appendiculatus cox1 and 12S rRNA haplotype sequences retrieved from GenBank. (DOCX 16 kb

Additional file 3: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Table S3. Polymorphism in the 22 haplotypes of the cox1 gene fragment of R. appendiculatus. (DOCX 21 kb

Additional file 2: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Table S2. cox1 and 12S rRNA BLAST results for species identification and confirmation. (DOCX 16 kb

Additional file 4: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Table S4. Population genetic structure inferred by analysis of molecular variance (AMOVA) based on cox1 sequences of R. appendiculatus from different agro-ecological zones. (DOCX 13 kb

Additional file 6: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Figure S1. cox1 mismatch distribution pattern for R. appendiculatus haplogroup A in different agro-ecological zones. (DOCX 193 kb

Additional file 7: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Table S6. Rhipicephalus appendiculatus 12S rRNA haplotypes and their distribution among agro-ecological zones of the Great lakes region and other sub-Saharan African countries. (DOCX 15 kb

Additional file 8: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Figure S2. Neighbor-joining tree of 12S haplotype sequences for R. appendiculatus across African countries. (DOCX 18 kb

Additional file 5: of Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region

Table S5. Evolutionary neutrality, demographic and spatial history of mitochondrial cox1 gene. (DOCX 15 kb

Genome-wide association study for the level of prolificacy in Cameroon’s native goat

Income from goats highly depends on prolificacy, which is difficult to improve by traditional breeding methods. The study aimed to identify SNP markers for prolificacy, using a case–control genome-wide association study (GWAS) on 111 genotyped Cameroon native goat (CNG) does, based on the 50 K single nucleotide polymorphism (SNP) chip panel. None of the top SNPs reached the significant p-value of 5 × 10−8. The highest p-value was 0.0009. Despite the number of cases being about a quarter of the number of controls, the highest allele frequency of some of the top 20 variants in the cases was indicative of their potential role in the trait. These top variants included the following 15: rs268285661, rs268235169, rs268236449, rs268235135, rs268240394 in Sphingosine-1-phosphate phosphatase 2 (SGPP2) gene, rs268283635 in Solute carrier family 24 member 2 (SLC24A2) gene, rs268251678 in Androgen-induced gene 1 (AIG1) gene, rs268267018, rs268239617, rs268281364, rs268273029, rs268286941, rs268236144, rs268233233 in CEP126 gene and rs268278159, respectively. Our findings indicate that GWAS enable the identification of some loci within genes, with known biological functions and pathways in human being and mice animal model but far-ranging to what was previously hypothesized and tested in goat.</p