| Literature DB >> 32848325 |
Haitham Elbir1, Faisal Almathen1,2, Ayman Elnahas3.
Abstract
BACKGROUND AND AIM: Hyalomma dromedarii ticks are vectors of disease agents and hosts of Francisella-like endosymbionts (FLEs). Knowledge about intraspecific genetic variation among H. dromedarii and its Francisella species is limited. The aims of this study were to investigate whether certain H. dromedarii genotypes are specialized in carrying specific Francisella species genotypes and scrutinize the population structure of H. dromedarii ticks in Saudi Arabia.Entities:
Keywords: Hyalomma dromedarii; camel; endosymbionts Francisella typing
Year: 2020 PMID: 32848325 PMCID: PMC7429393 DOI: 10.14202/vetworld.2020.1462-1472
Source DB: PubMed Journal: Vet World ISSN: 0972-8988
Figure-1Collection sites of Hyalomma ticks in this study indicated by numbers. Map generated using R software version 3.6.2. 1 – Hofuf; 2 – North of Hofuf; 3 – South of Hofuf; 4 – Al Gharbia; 5 – Al Ahsa; 6 – Uqair; 7 – Khurais; 8 – Al Riyadh; 9 – Afif; 10 – Arar; 11 – Dammam; 12 – Buraidah; 13 – Asir.
List of Primers utilized in PCR amplification and sequencing of genes.
| Primers | Sequence 5-3 | References |
|---|---|---|
| 16S-F 16S-R | CCGGTCTGAACTCAGATCAAGT | [ |
| Cox1F Cox1R | GGAACAATATATTTAATTTTTGG | [ |
| ITS2-F ITS2-R | ACATTGCGGCCTTGGGTCTT | [ |
| ITS2-450_850 _F ITS2-450_850_R | TGT TTG CGC ATG TTG CTA TT | This study |
| ITS2-720F | GGC GTT CCG TCG TAG TCC | This study |
PCR=Polymerase chain reaction
Prevalence of tick genotypes based on concatenation of COI, 16S RNA gene sequence. Yellow colour indicates that the tick genotype was found in this region. White colour indicates absence of tick genotype in this region.
| Genotype | Prevalence | Site 1-2-3 | Site 4 | Site 5 | Site 6 | Site 7 | Site 8 | Site 9 | Site 10 | Site 11 | Site 12 | Site 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ST32 | 42.57 | |||||||||||
| ST10 | 11.49 | |||||||||||
| ST29 | 8.11 | |||||||||||
| ST8 | 3.38 | |||||||||||
| ST21 | 3.38 | |||||||||||
| ST33 | 3.38 | |||||||||||
| ST13 | 2.03 | |||||||||||
| ST1 | 1.35 | |||||||||||
| ST14 | 1.35 | |||||||||||
| ST15 | 1.35 | |||||||||||
| ST16 | 1.35 | |||||||||||
| ST36 | 1.35 | |||||||||||
| ST39 | 1.35 | |||||||||||
| ST2 | 0.68 | |||||||||||
| ST3 | 0.68 | |||||||||||
| ST4 | 0.68 | |||||||||||
| ST5 | 0.68 | |||||||||||
| ST6 | 0.68 | |||||||||||
| ST7 | 0.68 | |||||||||||
| ST9 | 0.68 | |||||||||||
| ST11 | 0.68 | |||||||||||
| ST12 | 0.68 | |||||||||||
| ST17 | 0.68 | |||||||||||
| ST18 | 0.68 | |||||||||||
| ST19 | 0.68 | |||||||||||
| ST20 | 0.68 | |||||||||||
| ST22 | 0.68 | |||||||||||
| ST23 | 0.68 | |||||||||||
| ST24 | 0.68 | |||||||||||
| ST25 | 0.68 | |||||||||||
| ST26 | 0.68 | |||||||||||
| ST27 | 0.68 | |||||||||||
| ST28 | 0.68 | |||||||||||
| ST30 | 0.68 | |||||||||||
| ST31 | 0.68 | |||||||||||
| ST34 | 0.68 | |||||||||||
| ST35 | 0.68 | |||||||||||
| ST37 | 0.68 | |||||||||||
| ST38 | 0.68 |
Performance of COI, 16S RNA, and ITS2 DNA marker used for genotyping of 62 H. dromedarii ticks.
| DNA marker | Genotype | Prevalence of genotype % | Genotype | Prevalence of genotype % | Genotype | Prevalence of genotype % | Genotype | Prevalence of genotype % | Genotype | Prevalence of genotype % |
|---|---|---|---|---|---|---|---|---|---|---|
| Tick COI | Tick 16S rRNA | Tick ITS2 | ||||||||
| ST3 | 0.67 | ST2 | 0.68 | ST1 | 100 | ST1 | 0.67 | ST1 | 100 | |
| ST4 | 0.67 | ST3 | 0.68 | ST2 | 0.67 | |||||
| ST5 | 0.67 | ST5 | 0.68 | ST3 | 98.66 | |||||
| ST7 | 0.67 | ST8 | 0.68 | |||||||
| ST9 | 0.67 | ST9 | 0.68 | |||||||
| ST10 | 0.67 | ST4 | 1.35 | |||||||
| ST14 | 0.67 | St10 | 2.03 | |||||||
| ST15 | 0.67 | ST7 | 3.38 | |||||||
| ST16 | 0.67 | ST1 | 8.11 | |||||||
| ST17 | 0.67 | ST6 | 81.76 | |||||||
| ST19 | 0.67 | |||||||||
| ST20 | 0.67 | |||||||||
| ST21 | 0.67 | |||||||||
| ST22 | 0.67 | |||||||||
| ST23 | 0.67 | |||||||||
| ST24 | 0.67 | |||||||||
| ST25 | 0.67 | |||||||||
| ST28 | 0.67 | |||||||||
| ST29 | 0.67 | |||||||||
| ST31 | 0.67 | |||||||||
| ST1 | 1.34 | |||||||||
| ST12 | 1.34 | |||||||||
| ST27 | 1.34 | |||||||||
| ST30 | 1.34 | |||||||||
| ST2 | 2.01 | |||||||||
| ST11 | 2.01 | |||||||||
| ST13 | 2.69 | |||||||||
| ST6 | 3.36 | |||||||||
| ST18 | 3.36 | |||||||||
| ST8 | 11.41 | |||||||||
| ST26 | 56.38 | |||||||||
Genotypes of ticks and their associated genotypes of FLEs.
| Tick sample | Tick genotype | FLEs genotype |
|---|---|---|
| 2 | ST18 | ST3-FLE |
| 3 | ST32 | ST3-FLE |
| 4 | ST21 | ST3-FLE |
| 5 | ST32 | ST3-FLE |
| 6 | ST5 | ST3-FLE |
| 7 | ST13 | ST3-FLE |
| 8 | ST26 | ST3-FLE |
| 9 | ST32 | ST3-FLE |
| 10 | ST14 | ST3-FLE |
| 11 | ST13 | ST3-FLE |
| 13 | ST32 | ST3-FLE |
| 14 | ST15 | ST3-FLE |
| 15 | ST32 | ST3-FLE |
| 16 | ST10 | ST3-FLE |
| 17 | ST32 | ST3-FLE |
| 20 | ST17 | ST3-FLE |
| 23 | ST32 | ST3-FLE |
| 24 | ST1 | ST3-FLE |
| 25 | ST10 | ST3-FLE |
| 26 | ST15 | ST3-FLE |
| 27 | ST32 | ST3-FLE |
| 28 | ST14 | ST3-FLE |
| 29 | ST6 | ST3-FLE |
| 30 | ST1 | ST3-FLE |
| 31 | ST32 | ST3-FLE |
| 32 | ST32 | ST3-FLE |
| 33 | ST32 | ST3-FLE |
| 34 | ST11 | ST3-FLE |
| 35 | ST31 | ST3-FLE |
| 36 | ST28 | ST3-FLE |
| 37 | ST8 | ST3-FLE |
| 38 | ST24 | ST3-FLE |
| 39 | ST32 | ST3-FLE |
| 40 | ST19 | ST3-FLE |
| 41 | ST10 | ST3-FLE |
| 43 | ST32 | ST3-FLE |
| 44 | ST30 | ST3-FLE |
| 45 | ST32 | ST3-FLE |
| 46 | ST29 | ST3-FLE |
| 47 | ST12 | ST3-FLE |
| 48 | ST29 | ST3-FLE |
| 49 | ST32 | ST3-FLE |
| 50 | ST2 | ST3-FLE |
| 51 | ST21 | ST3-FLE |
| 52 | ST32 | ST3-FLE |
| 53 | ST13 | ST3-FLE |
| 54 | ST32 | ST3-FLE |
| 55 | ST32 | ST3-FLE |
| 56 | ST7 | ST3-FLE |
| 57 | ST32 | ST3-FLE |
| 59 | ST22 | ST3-FLE |
| 60 | ST9 | ST3-FLE |
| 62 | ST32 | ST3-FLE |
| 63 | ST32 | ST3-FLE |
| 65 | ST27 | ST3-FLE |
| 66 | ST32 | ST3-FLE |
| 67 | ST32 | ST3-FLE |
| 68 | ST23 | ST3-FLE |
| 70 | ST32 | ST3-FLE |
| 71 | ST32 | ST3-FLE |
| 72 | ST3 | ST3-FLE |
| 73 | ST32 | ST3-FLE |
| 100 | ST32 | ST3-FLE |
| 101 | ST29 | ST3-FLE |
| 103 | ST32 | ST3-FLE |
| 104 | ST32 | ST3-FLE |
| 105 | ST10 | ST3-FLE |
| 106 | ST29 | ST3-FLE |
| 109 | ST32 | ST3-FLE |
| 110 | ST32 | ST3-FLE |
| 111 | ST29 | ST3-FLE |
| 112 | ST36 | ST3-FLE |
| 113 | ST36 | ST3-FLE |
| 114 | ST29 | ST3-FLE |
| 115 | ST29 | ST3-FLE |
| 116 | ST29 | ST3-FLE |
| 117 | ST10 | ST3-FLE |
| 118 | ST32 | ST3-FLE |
| 119 | ST33 | ST3-FLE |
| 120 | ST32 | ST3-FLE |
| 121 | ST32 | ST3-FLE |
| 122 | ST32 | ST3-FLE |
| 123 | ST10 | ST3-FLE |
| 124 | ST10 | ST3-FLE |
| 125 | ST33 | ST3-FLE |
| 126 | ST32 | ST3-FLE |
| 127 | ST32 | ST3-FLE |
| 128 | ST32 | ST3-FLE |
| 129 | ST33 | ST3-FLE |
| 130 | ST29 | ST3-FLE |
| 131 | ST32 | ST3-FLE |
| 132 | ST10 | ST3-FLE |
| 133 | ST10 | ST3-FLE |
| 134 | ST10 | ST3-FLE |
| 135 | ST10 | ST3-FLE |
| 136 | ST32 | ST3-FLE |
| 137 | ST10 | ST3-FLE |
| 139 | ST21 | ST3-FLE |
| 140 | ST33 | ST3-FLE |
| 141 | ST21 | ST3-FLE |
| 142 | ST29 | ST3-FLE |
| 143 | ST10 | ST3-FLE |
| 144 | ST10 | ST3-FLE |
| 145 | ST21 | ST3-FLE |
| 146 | ST32 | ST3-FLE |
| 147 | ST33 | ST3-FLE |
| 148 | ST32 | ST3-FLE |
| 149 | ST32 | ST3-FLE |
| 150 | ST32 | ST3-FLE |
| 151 | ST32 | ST3-FLE |
| 152 | ST29 | ST3-FLE |
| 154 | ST37 | ST3-FLE |
| 155 | ST29 | ST3-FLE |
| 156 | ST32 | ST3-FLE |
| 157 | ST10 | ST3-FLE |
| 158 | ST32 | ST3-FLE |
| 159 | ST32 | ST3-FLE |
| 160 | ST4 | ST3-FLE |
| 164 | ST32 | ST3-FLE |
| 165 | ST32 | ST3-FLE |
| 167 | ST20 | ST3-FLE |
| 168 | ST25 | ST3-FLE |
| 170 | ST32 | ST3-FLE |
| 171 | ST32 | ST3-FLE |
| 172 | ST32 | ST3-FLE |
| 173 | ST34 | ST3-FLE |
| 174 | ST16 | ST3-FLE |
| 175 | ST32 | ST3-FLE |
| 176 | ST32 | ST3-FLE |
| 177 | ST32 | ST3-FLE |
| 178 | ST8 | ST3-FLE |
| 179 | ST32 | ST3-FLE |
| 180 | ST8 | ST3-FLE |
| 181 | ST8 | ST3-FLE |
| 182 | ST32 | ST3-FLE |
| 183 | ST8 | ST3-FLE |
| 184 | ST10 | ST3-FLE |
| 185 | ST32 | ST1-FLE |
| 186 | ST10 | ST3-FLE |
| 187 | ST16 | ST3-FLE |
| 188 | ST35 | ST2-FLE |
| 189 | ST38 | ST3-FLE |
| 190 | ST39 | ST3-FLE |
| 191 | ST32 | ST3-FLE |
| 192 | ST39 | ST3-FLE |
| 193 | ST32 | ST3-FLE |
| 194 | ST32 | ST3-FLE |
| 196 | ST32 | ST3-FLE |
FLE=Francisella-like endosymbionts
Figure-2Bayesian Markov chain Monte Carlo analysis based on concatenation of 16S rDNA and cytochrome c oxidase subunit-1 sequences for 148 Hyalomma dromedarii. Numbers represent posterior probabilities.
Figure-3Bayesian Markov chain Monte Carlo analysis based on combining sequence types of 16S rRNA sequences in this study, with GenBank 16S rRNA sequence. Numbers represent posterior probabilities.
Figure-4Bayesian Markov chain Monte Carlo analysis based on combining sequence types of cytochrome c oxidase subunit-1 (COI) sequences found here in ticks, with GenBank COI sequence. Numbers represent posterior probabilities.
Figure-5Bayesian Markov chain Monte Carlo analysis based on combining sequence types of tul4 sequences found here in ticks, with GenBank tul4 sequence. Numbers represent posterior probabilities.