Participatory appraisal for healthcare and welfare management strategies of donkeys (Equus ascinus) in Balochistan, Pakistan

Molecular detection of Anaplasma bovis, Candidatus Anaplasma boleense and Rickettsia spp. in ticks infesting small ruminants

Anaplasma spp. and Rickettsia spp. are intracellular vector-borne pathogens and harbored by a wide range of ticks and vertebrate hosts. Aim of this study was to molecularly characterize Anaplasma spp. and Rickettsia spp. in different ticks collected from livestock hosts in nine districts of Khyber Pakhtunkhwa (KP), Pakistan. In total, 862 ticks were collected from cattle, goats and sheep. Highest tick's infestation was observed on cattle 56.14% (32/57), followed by goats 45.45% (40/88), and sheep 42.05% (45/107). Rhipicephalus microplus (305/862, 35.38%) was predominant species, followed by Haemaphysalis sulcata (243/862, 28.19%), Hyalomma anatolicum (133/862, 15.42%), Haemaphysalis bispinosa (120/862, 13.92%), and Hyalomma kumari (61/862, 7.07%). A subset of 135 ticks were screened for Anaplasma spp. and Rickettsia spp. based on the amplification of partial 16 S rDNA and outer-membrane protein A (ompA) fragments, respectively. In total, 16 ticks (11.85%) were positive for Anaplasma spp. and Rickettsia spp. Obtained 16 S rDNA sequences for Anaplasma spp. detected in Ha. bispinosa and Ha. sulcata showed 99.98% identity with Anaplasma bovis, while other detected in Rh. microplus showed 99.84% identity with Candidatus Anaplasma boleense. Similarly, detected ompA sequence in Ha. sulcata showed 100% identity with Rickettsia sp. and 97.93% with Rickettsia slovaca, and another sequence detected in Rh. microplus showed 100% identity with Candidatus Rickettsia shennongii. In phylogenetic trees, these sequences clustered with corresponding species from Pakistan, China, Turkey, South Korea, South Africa, and Herzegovina. This is the first study reporting detection of A. bovis in Ha. bispinosa and Ha. sulcata, Ca. A. boleense in Rh. microplus collected from goats, and R. slovaca-like in Ha. sulcata. Our results enforce the need for regular surveillance of Rickettsiales in hard ticks infesting livestock in the region.

New faunistic data on Diptera (Hexapoda, Insecta) from the Ziarat Juniperus forest ecosystem (Pakistan)

Background

This study presents the first faunistic record and DNA barcoding for some Diptera species recorded from the Juniperus forest ecosystem of Balochistan, Pakistan. DNA barcoding was used to explore species diversity of Dipterans and collections carried out using a Malaise trap between December 2018 to December 2019. This process involved sequencing the 658 bp Cytochrome Oxidase I (COI) gene.

New information

Amongst the collected Diptera specimens, nine families were identified, representing 13 genera. These species include Atherigonasoccata (Rondani, 1871), Atherigonavaria (Schiner, 1868), Chironomusdorsalis (Meigen, 1818), Eupeodescorollae (Linnaeus, 1758), Eristalistenax (Linnaeus,1758), Goniaornata (Meigen, 1826), Luciliasericata (Meigen, 1826), Paragusquadrifasciatus (Linnaeus, 1758), Polleniarudis (Fabricius, 1794), Raviniapernix (Thompson, 1869), Sarcophagadux (Thompson, 1869), Trupaneaamoena (Schiner, 1868) and Wohlfahrtiabella (Linnaeus, 1758). The families Syrphidae and Sarcophagidae exhibited the highest representation, each comprising three genera and three species. They were followed by the family Muscidae, which had a single genus and two species. Anthomyiidae, Chironomidae, Calliphoridae, Polleniidae, Tachinidae and Tephritidae were represented by only one genus and one species. A nique Barcode Index Number (BIN) was allotted to Tachinidae (specie i.e Goniaornata). The results indicated that barcoding through cytochrome oxidase I is an effective approach for the accurate identification and genetic studies of Diptera species. This discovery highlights the significant diversity of this insect order in study region. Furthermore, a comprehensive list of other Diptera species remains elusive because of difficulties in distinguishing them, based on morphology and a lack of professional entomological knowledge.

Recognition of emotion and pain by owners benefits the welfare of donkeys in a challenging working environment

Working donkeys (Equus asinus) support human living standards globally. However, there is little information on the effect of human perceptions of emotion and pain on the welfare of working donkeys. We interviewed donkey owners (n = 332) in Pakistan to determine the relationship between human perspectives on donkey sentience: emotions and the ability to feel pain, and the routine working practices that could impact donkey welfare. The majority of donkey owners used padding under the saddle (n = 211; 63.6%; 95% CI (58.3%-68.9%)) and provided access to food (n = 213; 64.2%; 95% CI (58.9%-69.3%)) and water (n = 195; 58.7%; 95% CI (53.4%-64.1%)) during the working day. Owners reported that at some point in their donkey's life, 65.3% (95% CI (60.2%-70.5%)) had load-associated injuries, of which 27.7% (n = 92; 95% CI (22.8%-32.5%)) were wounds, 20.5% (n = 68; 95% CI (16.1%-24.8%)) were lameness and 7.2% (n = 24; 95% CI 4.4%-10.0%) were back pain. In total, 81.3% (95% CI 77.1%-85.5%; n = 270) of owners believed that their donkeys felt pain, and 70.2% (95% CI (65.2%-75.1%; n = 233) of owners believed that their donkeys had emotions. Multiple correspondence analysis (MCA) was used to understand the relationship between owners' recognition of emotions and pain in donkeys and their working practices. The MCA factor map revealed two clusters, named positive and negative clusters. The positive cluster included owner's recognition of donkey pain and emotions, the availability of food and water, use of padding under the saddle, absence of injuries along with the willingness to follow loading guidelines. The negative cluster represented practices that did not benefit donkey welfare, such as using saddles without padding and a lack of food and water during work. The presence of injuries, owners not recognizing that donkeys feel pain and emotion along with an unwillingness to follow loading guidelines were also found in the negative cluster. We show that the owners who recognized sentience in their donkeys were more likely to use practices that are good for donkey welfare. The ability of owners to identify sentience in donkeys, along with their willingness to follow welfare guidelines, are important factors in improving the lives of working donkeys.