EVAL-FARMS: Evaluating the Threat of Antimicrobial Resistance in Agricultural Manures and Slurries
EVAL-FARMS: Evaluating the Threat of Antimicrobial Resistance in Agricultural Manures and Slurries
批准号:
NE/N019881/1
负责人:
Dov Stekel
金额:
$155.39万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Antibiotics are used extensively to fight bacterial infections and have saved millions of lives. However, the bacteria are becoming resistant to antibiotics and some antibiotics have stopped working. We refer to this as antimicrobial resistance - AMR. We don't just use antibiotics for people; similar amounts are given to farm animals. More than 900 million farm animals are reared every year in the UK and antibiotic treatments are vital for their welfare, for farms as businesses, and for us to enjoy affordable food. However, farms may be contributing to the development of AMR. The aim of this project is to improve our understanding of how farm practice, especially the way in which manure is handled, could lead to AMR in animal and human pathogens. This understanding will help farmers and vets find new ways to reduce AMR, without harming their animals or their businesses.For research purposes, Nottingham University maintains a typical high performance dairy farm - its 200 cows produce a lot of milk and a lot of manure. The waste is stored in a 3 million litre slurry tank, any excess goes into a 7 million litre lagoon. This slurry is applied to fields as organic fertilizer. Cow manure contains many harmless bacteria but some, e.g. E. coli O157, can cause severe infection in people. When cows get sick they are treated with antibiotics. Udder infections are treated by injection of antibiotics into the udder. Since this milk contains antibiotics, it cannot be sold but is discarded into the slurry. Foot infections are treated with an antibacterial footbath, which is also emptied into the slurry tank.As a result, slurry tanks contain a mixture of bacteria, antibiotics and other antimicrobials that are stored for many months. The bacteria that survive in the presence of antibiotics are more likely to have antibiotic resistance. This resistance is encoded in their genes so passed to the next generation. Worse still, the genes can be passed on to other bacteria in the slurry. Before we wrote this proposal, we investigated our own farm's slurry tank to see if this might be happening. We tested 160 E. coli strains from the slurry; most carried antibiotic resistance. We also found antibiotics in the tank - including some that bacteria were resistant to. Our mathematical modellers showed that reducing spread of resistance genes in the tank might be more effective in preventing resistance than cutting the use of antibiotics. Conversations with the farm vets revealed that they knew about AMR and had changed some of their antibiotic prescriptions. But these analyses leave us with more questions than answers.In this project, we want to find out if current farming methods are contributing to the development of harmful antibiotic-resistant bacteria in slurry, bacteria that may then be encountered by humans and animals. To do this, we need to integrate scientific and cultural approaches:- What bacteria are in the slurry? How many are harmful? What resistance genes do they carry? How do these genes spread?- How long do antibiotics remain in the tank? Do they degrade?- What happens to the bacteria and antibiotics after they are spread on fields?- How do farmers, vets and scientists interpret evidence about AMR? What are their hidden assumptions? Can we improve collaborative decision making on AMR risk management? - Can we reduce resistance by avoiding mixing together bacteria and antimicrobials in slurry?- Can we predict the risk of emergence of and exposure to resistant pathogens? Can we predict which interventions are likely to be most effective to reduce AMR, taking into account both human and scientific factors?Through this research, we will learn what can realistically be done to reduce this risk; not just on this farm, but UK wide. We will work with farmers, vets and policy makers to ensure that our results will make a difference to reducing the risk of harmful AMR bacteria arising in agriculture.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1186/s40168-021-01010-3
发表时间:
2021-03-20
期刊:
Microbiome
影响因子:
15.5
作者:
[Cook R, Hooton S, Trivedi U, King L, Dodd CER, Hobman JL, Stekel DJ, Jones MA, Millard AD]
通讯作者:
Millard AD
Additional file 3 of Hybrid assembly of an agricultural slurry virome reveals a diverse and stable community with the potential to alter the metabolism and virulence of veterinary pathogens
农业浆液病毒组的混合组装的附加文件 3 揭示了一个多样化且稳定的群落,有可能改变兽医病原体的代谢和毒力
DOI:
10.6084/m9.figshare.14253440
发表时间:
2021
期刊:
影响因子:
--
作者:
[Cook R]
通讯作者:
Cook R
Environmental imaginaries and the environmental sciences of antimicrobial resistance
环境想象和抗菌素耐药性的环境科学
DOI:
10.1177/2514848620950752
发表时间:
2020
期刊:
Nature and Space
影响因子:
--
作者:
[Helliwell R]
通讯作者:
Helliwell R
DOI:
10.3389/fmicb.2021.613529
发表时间:
2021
期刊:
Frontiers in microbiology
影响因子:
5.2
作者:
[Haines MEK, Hodges FE, Nale JY, Mahony J, van Sinderen D, Kaczorowska J, Alrashid B, Akter M, Brown N, Sauvageau D, Sicheritz-Pontén T, Thanki AM, Millard AD, Galyov EE, Clokie MRJ]
通讯作者:
Clokie MRJ
DOI:
10.1016/j.jrurstud.2020.07.008
发表时间:
2020-08-01
期刊:
JOURNAL OF RURAL STUDIES
影响因子:
5.1
作者:
[Helliwell, Richard, Morris, Carol, Raman, Sujatha]
通讯作者:
Raman, Sujatha
High throughput analysis of cell growth data from phenotype arrays
-
批准号:BB/J01558X/1
-
项目类别:Research Grant
-
资助金额:$34.8万
-
财政年份:2012
-
负责人:Dov Stekel
-
依托单位:
Quantification of promoter activity using Lux read-outs and mathematical models
-
批准号:BB/I001875/1
-
项目类别:Research Grant
-
资助金额:$77.31万
-
财政年份:2011
-
负责人:Dov Stekel
-
依托单位:
Dynamic mathematical modelling of diversification of transcriptional regulatory networks underlying the genetic variation of E.coli species
-
批准号:BB/H531586/1
-
项目类别:Research Grant
-
资助金额:$2.95万
-
财政年份:2010
-
负责人:Dov Stekel
-
依托单位:
Stochastic dynamical modelling for prokaryotic gene regulatory networks
-
批准号:BB/F003765/2
-
项目类别:Research Grant
-
资助金额:$0.92万
-
财政年份:2009
-
负责人:Dov Stekel
-
依托单位:
Stochastic dynamical modelling for prokaryotic gene regulatory networks
-
批准号:BB/F003765/1
-
项目类别:Research Grant
-
资助金额:$3.22万
-
财政年份:2007
-
负责人:Dov Stekel
-
依托单位:
海外基金