Back

Molecular characterization of Fasciola gigantica in Punjab, Pakistan to infer the dispersal route among the neighbouring countries of the Indian subcontinent

Ur Rehman, Z.; Tashibu, A.; Tashiro, M.; Rashid, I.; Ali, Q.; Zahid, O.; Ashraf, K.; Shehzad, W.; Chaudhry, U.; Ichikawa-Seki, M.

2020-06-05 genetics
10.1101/2020.06.04.134569 bioRxiv
Show abstract

Fasciola gigantica is considered to be a major pathogen causing fasciolosis in the Indian subcontinent, resulting in millions of dollars production losses to the livestock industry. To understand the dispersal origin and the spread patterns of F. gigantica is important for preventing the disease. A total of 53 Fasciola flukes collected from buffalo and goat in the Punjab province of Pakistan, were identified as F. gigantica based on the multiplex PCR for the phosphoenolpyruvate carboxykinase (pepck) and the PCR-restriction fragment length polymorphism (RFLP) for DNA polymerase delta (pold). A significant genetic difference between F. gigantica from buffalo and goats in Pakistan was indicated by the genetic analysis of two distinct mitochondrial markers [NADH dehydrogenase subunit 1 (nad1) and cytochrome C oxidase subunit 1 (cox1)]. Phylogenetic analysis of the seventeen nad1 haplotypes of F. gigantica from Pakistan with those in neighbouring countries of the Indian subcontinent revealed that all the haplotypes were clustered in haplogroup A. Fasciola gigantica with the eight haplotypes might be expanded in Pakistan from Indian origin, along with the migration of the domestic animals, since they were related to Indian haplotypes. In contrast, the remaining nine haplotypes were not shared with any neighbouring countries, suggesting independent origin, or possibly come from neighbouring Middle East countries. Our study provides a proof of concept for a method that could be used to investigate the epidemiology of F. gigantica regarding the development of sustainable parasite control strategies.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 5%
27.3%
2
Acta Tropica
13 papers in training set
Top 0.1%
9.1%
3
PLOS Neglected Tropical Diseases
466 papers in training set
Top 1%
6.9%
4
Parasites & Vectors
60 papers in training set
Top 0.3%
5.7%
5
Infection, Genetics and Evolution
42 papers in training set
Top 0.2%
3.3%
50% of probability mass above
6
Frontiers in Genetics
230 papers in training set
Top 1%
3.3%
7
Gene
46 papers in training set
Top 0.3%
3.3%
8
Ticks and Tick-borne Diseases
12 papers in training set
Top 0.1%
3.3%
9
Scientific Reports
3612 papers in training set
Top 34%
3.2%
10
Heliyon
152 papers in training set
Top 2%
2.5%
11
PeerJ
308 papers in training set
Top 4%
2.2%
12
Journal of Medical Entomology
18 papers in training set
Top 0.3%
1.7%
13
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 2%
1.5%
14
BioMed Research International
28 papers in training set
Top 1%
1.5%
15
Virulence
25 papers in training set
Top 0.4%
1.5%
16
Aquaculture
31 papers in training set
Top 0.3%
1.2%
17
Frontiers in Microbiology
427 papers in training set
Top 7%
1.1%
18
International Journal for Parasitology
26 papers in training set
Top 0.5%
0.9%
19
Transboundary and Emerging Diseases
37 papers in training set
Top 0.5%
0.9%
20
Antibiotics
34 papers in training set
Top 1.0%
0.9%
21
Virus Research
37 papers in training set
Top 0.7%
0.9%
22
Primates
11 papers in training set
Top 0.3%
0.6%
23
BMC Ecology and Evolution
51 papers in training set
Top 2%
0.6%