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Fecal Antibiotic Resistome of Pigs from a Small-Scale Piggery in Ibadan, South-West Nigeria

VSRR-7-1-52-57

Fecal Antibiotic Resistome of Pigs from a Small-Scale Piggery in Ibadan, South-West Nigeria

Oluseyi A. Olayinka1, Temitope O.C. Faleye2, Oladipo O. Omotosho3, Oladapo A. Odukaye3, Bolaji Oluremi4, Ibipeju H. Ibitoye1, Oludayo O. Ope-Ewe1, Uwem E. George5, Oluwadamilola A. Arowolo6, Ijeoma M. Ifeorah7, Ewean C. Omoruyi8, Emmanuel Donbraye9, Olufunke P. Adeniji10, Olubusuyi M. Adewumi1,11* and Johnson A. Adeniji1,11,12

1Department of Virology, Faculty of Basic Medical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria; 2Center for Human Virology and Genomics, Department of Microbiology, Nigerian Institute of Medical Research, Lagos State, Nigeria; 3Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria; 4Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria; 5Department of Biological Sciences, Redeemer’s University, Ede, Nigeria; 6>Viral Vaccines Production Division, National Veterinary Research Institute, Vom, Plateau State, Nigeria; 7Department of Medical Laboratory Sciences, Faculty of Health Sciences and Technology, University of Nigeria, Nsukka, Nigeria; 8Institute of Child Health, College of Medicine, University of Ibadan, Ibadan, Nigeria; 9Department of Medical Microbiology and Parasitology, Obafemi Awolowo University, Ile-Ife, Nigeria; 10Department of Transport and Tourism, Redeemers University, Ede, Nigeria; 11Infectious Diseases Institute, College of Medicine, University of Ibadan; 12WHO National Polio Laboratory, University of Ibadan, Ibadan, Nigeria.

Abstract | This study was designed to sample the fecal Resistome of Pigs from a small-scale Piggery in Ibadan, South-West Nigeria. Three fecal pellets were randomly picked from the floor of unit pens containing a minimum of three pigs per unit in selected piggery in Ibadan, Nigeria. The samples were pooled and resuspended in phosphate buffered saline. The suspension was then subjected to nucleic acid extraction, cDNA synthesis and Illumina sequencing. Antibiotic Resistance Genes (ARGs) in the raw reads were determined and assembled using the Kmer Resistance tool v2.2. From the 2,974,257 reads generated, 21 ARGs with statistically significant reads were identified. Almost all targeted broad-spectrum antibiotics with over 50% targeting Tetracyclines. Five (ant(6)-Ia_3, tet(40)_1, tet(Q)_1, tet(W)_5 and tet(O/W)_4) of the ARGs were predicted to be plasmid-borne. Our findings show that the Swine industry in the region might be both a mixing pot and reservoir of ARGs. It is therefore crucial that effort is made to educate the stakeholders on the importance of good antibiotics stewardship.


Editor | Muhammad Abubakar, National Veterinary Laboratories, Park Road, Islamabad, Pakistan.

Received | November 26, 2020; Accepted | March 07, 2021; Published | May 28, 2021

*Correspondence | Adewumi Moses Olubusuyi, Department of Virology, Faculty of Basic Medical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria; Email: [email protected]

Citation | Olayinka, O.A., T.O.C. Faleye, O.O. Omotosho, O.A. Odukaye, B. Oluremi, I.H. Ibitoye, O.O. Ope-Ewe, U.E. George, O.A. Arowolo, I.M. Ifeorah, E.C. Omoruyi, E. Donbraye, O.P. Adeniji, O.M. Adewumi and J.A. Adeniji. 2021. Fecal antibiotic resistome of pigs from a small-scale piggery in Ibadan, South-West Nigeria. Veterinary Sciences: Research and Reviews, 7(1): 52-57.

DOI | http://dx.doi.org/10.17582/journal.vsrr/2021.7.1.52.57

Keywords | Pigs, Antibiotic resistance genes, Resistome, Nigeria



Introduction

The core message of the One-Health movement is the fact that human health is on an intricate balance pivoted by the entire health of physical environment and surrounding livestock and game animals (Ryu et al., 2017; World Bank, 2010). This fragile relationship has been well documented in history, especially of outbreaks in human populations caused by zoonotic pathogen spillover events (Woolhouse and Gaunt, 2007; Daszak et al., 2000; Jones et al., 2008) As humans, our most intimate and economic interactions with animals are livestock, hence, we have a significant amount of documented zoonotic outbreaks originating from livestock to humans (Woolhouse and Gaunt, 2007; Daszak et al., 2000; Jones et al., 2008).

Swine production is a major sector in the livestock industry in Nigeria with over 7.1 million pigs as of 2011 (Igbokwe and Maduka, 2018). Critically, there is paucity of data on population statistics of domestic animals in Nigeria, however, inferential deductions from the proliferation of small scale and peasant pig farming show possibility of increased pig population in Nigeria. Moreover, in recent years, there is a conspicuous renewed interest in swine production, partly, due to their prolificacy, impressive growth rate, relative hardiness and ability to thrive on readily available agro-industrial waste products especially in the face of dwindling disposable income and the increasing population in Nigeria. In south-west Nigeria, many small-scale piggeries exist and contribute significantly to meat production in the region. These facilities have 1 to 50 pigs and on occasion consult with Veterinarians and other Animal Health Experts (AHEs) for health services. However, due to the small-scale nature of these businesses,

 

Table 1: Antibiotic resistance genes recovered from pig feces during this study.

S.

No

Antibiotic resistance gene

Score

Exp-ected

Tem-plate length

q_ value

p-value

Temp-late id

Tem-plate

cov-

erage

Qu-ery id

Qu-

ery

cove-rage

De-pth

Depth

corr

1

ant(6)-Ia_3_KF864551

8670

99

867

8376.88

1.00E-26

100

100

100

100

10.01

0.9267

2

ant(6)-Ia_1_

AF330699

1311

106

909

1023.7

1.00E-26

71.4

72.28

98.78

138.36

1.55

0.3328

3

ant(6)-Ib_1_

FN594949

1212

100

858

941.34

1.00E-26

85.78

85.78

100

116.58

1.41

0.308

4

aph(3')-III_1_

M26832

1058

93

795

808.72

1.00E-26

70.06

71.82

97.55

139.23

1.45

0.3152

5

aph(3'')-Ib_5_

AF321551

1056

94

804

804.27

1.00E-26

69.4

69.78

99.47

143.32

1.35

0.2971

6

blaACI-1_1_

AJ007350

1403

100

855

1129.45

1.00E-26

92.28

94.27

97.89

106.08

1.74

0.3651

7

erm(B)_1_

JN899585

2306

86

738

2060.01

1.00E-26

92.01

92.01

100

108.69

3.13

0.5583

8

mef(A)_3_

AF227520

6135

140

1218

5726.1

1.00E-26

80.79

84.56

95.53

118.25

5.98

0.7901

9

lnu(C)_1_

AY928180

1915

57

495

1748.28

1.00E-26

88.28

89.49

98.65

111.74

4.07

0.6545

10

sul2_1_

AF542061

870

95

816

620.93

1.00E-26

61.52

61.64

99.8

162.23

1.08

0.2457

11

tet(44)_1_

NZ_ABDU0-

1000081

3419

223

1923

2802.72

1.00E-26

66.46

67.76

98.08

147.58

1.89

0.3895

12

tet(44)_2_

FN594949

5962

221

1923

5327.9

1.00E-26

84.87

85.86

98.85

116.47

3.24

0.5709

13

tet(40)_1_

FJ158002

14470

137

1221

14063.63

1.00E-26

99.84

100

99.84

100

12.09

0.9574

14

tet(Q)_1_

L33696

137368

131

1926

136975.1

1.00E-26

99.95

100

99.95

100

72.88

1

15

tet(Q)_2_

X58717

6447

222

1926

5810.56

1.00E-26

68.59

70.61

97.13

141.62

3.59

0.6083

16

tet(Q)_4_

Z21523

10658

219

1926

10018.42

1.00E-26

90.08

91.85

98.08

108.88

5.83

0.7818

17

tet(W)_2_

AY049983

5619

221

1920

4987.07

1.00E-26

93.18

95.83

97.23

104.35

3.09

0.5537

18

tet(W)_5_

AJ427422

40577

197

1920

39987.76

1.00E-26

99.95

100

99.95

100

21.66

0.9965

19

tet(O/W)_4_

AM889121

19724

208

1889

19106.66

1.00E-26

70.67

70.67

100

141.5

10.65

0.938

20

tet(O/W/O)- 2_1_AY196920

10118

218

1920

9480.22

1.00E-26

79.79

80.16

99.55

124.76

5.4

0.7558

21

tet(O/32/O)_7_

FP929050

8174

220

1920

7536.75

1.00E-26

64.27

64.64

99.44

154.71

4.38

0.6813

Note: Antibiotic Resistance Gene: shows the name of the template sequences; Score: is the global alignment score of the template; Expected: is the expected alignment score if all mapping reads where smeared over all templates in the database; Template length: is the template length in nucleotides; q_value: is the quantile in a standard Pearson Chi-square test, to test whether the current template is a significant hit; p_value: is p-value corresponding to the obtained q-value.; Template_id is the percent identity of the found template, over the full template length; Template_coverage is percent of the template that is covered by the query; Query_id is the percent identity between the query and template sequence, over the length of the matching query sequence; Query_coverage is the length of the matching query sequence divided by the template length; Depth: is the number of times the template has been covered by the query; Depth_Corr: is an Estimate of how good the depth of the current template is compared to the found host, a low value would point towards contamination, a value around 0.5 would indicate that the gene is located on the host genome and a value close to 1.0 would indicate that this template is plasmid borne.

 

the managers/farmers tend to quack (Omotosho et al., 2013, 2016) and self-medicate (based on their experience from previous consultations with AHEs) the animals without consultation with Veterinarians and other AHEs, a practice that has resulted into indiscriminate use, low dosage use in feed and out of prescription use of antimicrobials (Van et al., 2020).

These practices are certain to result in the development of antibiotic resistant bacteria in pigs in the region. Antibiotic resistance (AR) in different bacterial types recovered from Pigs in the region have been documented (Oloso et al., 2018). These studies reviewed with reductionist approach were designed around result in a bacteria by bacterial AR profile and do not give a global view of the constellation of AR genes (ARGs) (called the Resistome) in the bacteriome (Microbiome) of Pigs in the region. Hence, in this study we attempt to sample the Resistome of the fecal Bacteriome of Pigs from a small scale Piggery in Ibadan, south-west Nigeria.

Materials and Methods

Sample collection

Fecal samples of pigs were analysed in this study. The fecal samples were collected in June 2018 from a Pig farm in Ibadan, Oyo State, south-west Nigeria. The sample is a pool made from fecal pellets on the floor of a Pen containing three Pigs. Three independent randomly selected fecal pellets were selected. Each pellet was broken and about 3grams from the core was inserted in a 15mL centrifuge tube. All three pellets were collected into the same sample tube.

Processing for illumina sequencing

The fecal pool was resuspended in phosphate buffered saline (PBS). Afterward, nucleic acid was extracted from the suspension using the DNA/RNA extraction kit (Jena Biosceince, Jena, Germany). Subsequently, cDNA was synthesized using the SCRIPT cDNA synthesis kit (Jena Biosceince, Jena, Germany). This was then shipped to a commercial facility (MR DNA, Texas, USA) where library preparation and sequencing was done. The library was prepared using the TruSeq™ RNA LT Sample Preparation Kit (Illumina) as recommended by the manufacturer. Subsequently, sequencing was done paired end for 300 cycles using the HiSeq system (Illumina).

Bioinformatic analysis

The quality of the raw reads was assessed using the FASTQC tool v1.0.4. Subsequently, the ARGs in the raw reads were determined and assembled using the Kmer Resistance tool v2.2 (https://cge.cbs.dtu.dk/services/KmerResistance/) with default parameters (Clausen et al., 2018) The detected and assembled ARGs were then downloaded, visually screened and those for which single contigs exceeded 200bp were further analyzed and submitted to GenBank under the accession numbers MK286928, MK293762-MK293776.

Results and Discussion

From the 2,974,257 reads generated, 21 ARGs with statistically significant reads were identified (Table 1). Almost all the ARGs detected targeted broad-spectrum antibiotics and fell into three modes of action (Table 2). Precisely, 90.5% (19/21) of the ARGs detected target drugs that inhibit translation. The remaining 9.5% (2/21) inhibit cell wall synthesis (blaACl) and nucleic acid synthesis by disruption of single-carbon metabolism (sul2). Estimates of how good the depth of the current template is compared to that found in host (Table 1; Depth corr >0.8) suggest that some (ant(6)-Ia_3, tet(40)_1, tet(Q)_1, tet(W)_5 and tet(O/W)_4) of the ARGs detected are likely to be plasmid borne. The complete coding sequence (CDS) of four of the five (5) genes that seem to be plasmid borne were recovered.

Diversity of ARGs detected and what it implies for antibiotic use

In this study we investigated the Resistome of Pigs farmed on a small scale piggery in Ibadan, south-west, Nigeria in an effort to appraise what it will reveal about antibiotic use in Piggery in the region. Particularly, we sequenced cDNA. Hence, might be assessing genes that were expressed in the fecal microbiome of the Pigs. In all, we detected 21 ARGs (Table 1) which target drugs that inhibit translation, cell wall synthesis and nucleic acid synthesis (Table 2). While antibiotics that inhibit translation and nucleic acid synthesis are broad-spectrum, the current generation of antibiotics that inhibit cell wall synthesis could also be broad-spectrum. The results of this study therefore show that almost all the ARGs detected, target broad-spectrum antibiotics. This suggests a possible ongoing treatment of the animals in the farm and dependence on broads spectrum antibiotics in Swine management in the region.

 

Table 2: Classification and mechanism of action of the antibiotic resistance genes detected during this study.

S. No

Mode of action

Antibiotic resistance gene

Class of target drug

Cheapest brand available locally and commonly used in piggery

Resistance mechanism

1

Inhibition of translation

ant(6)-Ia_3

aminoglycoside

Gentamycin and Amikacin

Aminoglycoside adenyltransferases

2

Inhibition of translation

ant(6)-Ia_1

aminoglycoside

Gentamycin and Amikacin

Aminoglycoside adenyltransferases

3

Inhibition of translation

ant(6)-Ib_1

aminoglycoside

Gentamycin and Amikacin

Aminoglycoside adenyltransferases

4

Inhibition of translation

aph(3')-III_1

aminoglycoside

Gentamycin and Amikacin

Aminoglycoside phosphotransferases

5

Inhibition of translation

aph(3'')-Ib_5

aminoglycoside

Gentamycin and Amikacin

Aminoglycoside phosphotransferases

6

Inhibition of translation

erm(B)_1

macrolide

Erythromycin and Tylosin

Erm 23S rRNA methyltransferases

7

Inhibition of translation

mef(A)_3

macrolide

Erythromycin and Tylosin

Macrolide resistance efflux pumps

8

Inhibition of translation

lnu(C)_1

lincosamide

Lincomycin and Clindamycin

Lincosamide nucleotidyltransferase (Lin)

9

Inhibition of translation

tet(44)_1_NZ

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

10

Inhibition of translation

tet(44)_2

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

11

Inhibition of translation

tet(40)_1

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

12

Inhibition of translation

tet(Q)_1

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

13

Inhibition of translation

tet(Q)_2

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

14

Inhibition of translation

tet(Q)_4

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

15

Inhibition of translation

tet(W)_2

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

16

Inhibition of translation

tet(W)_5

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

17

Inhibition of translation

tet(O/W)_4

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

18

Inhibition of translation

tet (O/W/O)-2_1

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

19

Inhibition of translation

tet (O/32/O)_7

Tetracycline

Oxytetracycline 20%

Tetracycline resistance ribosomal protection proteins

20

Inhibition of cell wall synthesis or disruption of membrane

blaACI-1_1

beta-Lactamase

Class A β-lactamases

21

Inhibition of nucleic acid synthesis by disruption of single-carbon metabolism

sul2_1_

sulfonamide

Sulfafurazole and Sulfasomidine

Sulfonamide-resistant dihydropteroate synthases

 

Considering that farm managers tend to self-medicate the pigs based on previous consultations with AHEs, it is likely that AHEs in the region use broad-spectrum antibiotics significantly. This could be due to economic reasons. Specifically, most of the small-scale Pig farm managers are not (even if recommended) willing to pay for laboratory diagnosis of any clinical condition in their few farm animals. Rather, sick animals are sold to slaughter houses or slaughtered on the farm for consumption. Consequently, AHEs treat the Pigs based on symptoms and recommend broad spectrum antibiotics to ensure that the infection is controlled, irrespective of the etiological agent. The consequence of this practice is the accumulation of resistance to broad spectrum antibiotics in the intestinal/fecal bacteriome of Pigs in the region; as documented in this study.

It should be noted that over 50% (Tables 1 and 2) of the ARGs detected in this study are targeted at Tetracyclines. This is not surprising because, in addition to using Tetracyclines for treatment (or prevention) of infections, Tetracyclines like chlortetracycline and oxytetracycline are used at suboptimal levels for their animal growth-promoting properties (Gustafson and Kiser, 1985; Aerestrup, 2015) This allows the emergence of AR bacteria by giving selective advantage to strains with ARGs specific for the administered antibiotic. Hence, the combination of using Tetracyclines for both growth promotion and treatment, encourages emergence of Tetracycline resistance genes and subsequently selects for it in the Pig microbiome.

Plasmid encoded ARGS and horizontal gene transfer

The results of this study showed that some (ant(6)-Ia_3, tet(40)_1, tet(Q)_1, tet(W)_5 and tet(O/W)_4) of the ARGs detected are likely to be Plasmid borne. Our findings in this respect conform with what is documented in literature (Mendez et al., 1980; Jones et al., 1992; Recchia and Hall, 1995; Chopra and Robert, 2001). Being plasmid borne, these ARGs targeted at broad-spectrum antibiotics are transferred horizontally and consequently, spread among and between bacterial species. Ryu et al. (2017) Considering zoonotic spread of pathogens from Pigs to Humans, it is not surprising that these plasmid-borne ARGs (targeting broad spectrum antibiotics) are present in the intestinal microbiome of humans (Chopra and Robert, 2001). We however posit that they are likely to be present at higher rates in livestock handlers in the region. This has serious health implications for the people working in the Swine and allied industries. It is therefore important that the prevalence of ARGs targeted at broad spectrum antibiotics in this population be determined as it might directly impact the treatment of bacterial infections in these population.

In summary, we sampled the Resistome of Pigs farmed on a small-scale piggery in Ibadan, south-west, Nigeria and found 21 ARGs that target broad spectrum antibiotics that inhibit translation, cell wall synthesis and nucleic acid synthesis. Our data also suggest that some of these ARGs might be plasmid borne and consequently involved in horizontal gene transfer. Finally, our findings show that the Swine industry in the region might be both a mixing pot and reservoir of ARGs. It is therefore crucial that effort is made to educate the stake-holders on the importance of good antibiotics stewardship.

Acknowledgements

We thank the farmers and handlers in Ibadan, south-west Nigeria for allowing us to take fresh faeces from the floor of their Pen.

Novelty Statement

This study particularly is the first of its kind to focus primarily on Antibiotic Resistance Genes (ARGs)/ Antibiotic Resistome from faecal materials of domestic pigs (Sus scrofa domesticus) in farm settlements of pig businesses in Ibadan. The study reports 21 ARGs with global scores and especially for the first time reporting the ARG; Lnu(C)_1 from the Drug Class Lincosamide, a broad-spectrum antibiotic used in Ibadan city, Southwest Nigeria.

Author’s Contribution

TOCF, OMA and JAA conceptualized the research. All authors were involved in sample collection and laboratory preparation of samples. TOCF analyzed the data and interpreted the results. OMA and JAA supervised the work. All authors were responsible for writing and reviewing the final manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest

The authors have declared no conflict of interest.

Ethics approval

Not required. Sampling was not invasive and was precisely done without contact with the Pigs.

Availability of data and material

Sequence data generated from the study have been submitted to GenBank under the accession numbers MK286928, MK293762-MK293776

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