An in-depth investigation of the microbiota and its virulence factors associated 11 with severe udder cleft dermatitis lesions

乳房 生物 微生物学 双歧杆菌 梭杆菌 梭杆菌门 毒力 消化链球菌 微生物群 葡萄球菌 金黄色葡萄球菌 拟杆菌 蛋白质细菌 细菌 乳酸菌 乳腺炎 遗传学 16S核糖体RNA 基因
作者
Anne-Sofie Vermeersch,Muhammad Ali,Yannick Gansemans,Filip Van Nieuwerburgh,Richard Ducatelle,Peter Geldhof,Dieter Deforce,Jozefien Callens,G. Opsomer
出处
期刊:Journal of Dairy Science [Elsevier]
卷期号:107 (5): 3219-3234
标识
DOI:10.3168/jds.2023-24180
摘要

ABSTRACT

Udder cleft dermatitis (UCD) is a skin condition affecting the anterior parts of the udder in dairy cattle. In the present study, we aimed to shed light on the microbiota in severe UCD lesions versus healthy udder skin by putting forward a taxonomic and functional profile based on a virulence factor analysis. Through shotgun metagenomic sequencing, we found a high proportion of bacteria besides a low abundance of archaea. A distinct clustering of healthy udder skin versus UCD lesion samples was shown by applying principal component analysis and (sparse) partial least squares ((s)PLS) analysis on the metagenomic data. Proteobacteria, Bacillota and Actinomycetota were among the most abundant phyla in healthy udder skin samples. In UCD samples, Bacteroidota was the most abundant phylum. At genus level, Bifidobacterium spp. had the highest relative abundance in healthy skin samples, while Porphyromonas spp. and Corynebacterium spp. had the highest relative abundance in UCD samples. In the differential abundance analysis, Porphyromonas spp. and Bacteroides spp. were significantly differentially abundant in UCD samples whereas Bifidobacterium spp., Staphylococcus sp. AntiMn-1 and Staphylococcus equorum were more commonly found in healthy samples. Moreover, the abundance of several treponeme phylotypes was significantly higher in lesion samples. The streptococcal cysteine protease speB was among the most abundant virulence factors present in severe UCD lesions while a plethora of virulence factors such as the antitoxin relB were downregulated, possibly contributing to creating the ideal wound climate for the dysbiotic community. Network analysis showed healthy lesion samples had a large network of, especially positive, correlations between the abundances of beneficial species such as Aerococcus urinaeequi and Bifidobacterium angulatum, indicating that the healthy skin microbiome forms an active protective bacterial network which is disrupted in case of UCD. In UCD samples, a smaller microbial network mainly consisting of positive correlations between the abundances of Bacteroides fragilis and anaerobic Bacteroidota was exposed. Moreover, a high correlation between the taxonomic data and virulence factors was revealed, concurrently with 2 separate networks of microbes and virulence factors. One network, matching with the taxonomic findings in the healthy udder skin samples, showcased a community of harmless and/or beneficial bacteria such as Bifidobacterium spp. and Butyrivibrio proteoclasticus associated with hcnB, hcnC, relB, glyoxalase and cupin 2. The other network, corresponding with UCD samples, consisted of pathogenic or facultative pathogenic and mainly anaerobic bacteria such as Treponema spp., Mycoplasmopsis spp., and bovine gammaherpesvirus 4, that correlated with virulence factors SpvB, fhaB and haemagglutination activity domain associated factor. Our results point toward a dysbiotic community with a significant decrease in diversity and evenness, with a loss of normal skin inhabitants and innocuous and/or useful species making way for predominantly anaerobic, facultative pathogens. The shift in the abundance of virulence factors such as fhaB and SpvB could play a role in the manifestation of a local micro-environment favorable to the microbiome associated with udder skin lesions. Lastly, the presence of specific networks between microbial species, and between microbes and virulence factors was shown.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
量子星尘发布了新的文献求助10
刚刚
派大力完成签到,获得积分10
1秒前
1秒前
xxdingdang完成签到,获得积分10
1秒前
1秒前
2秒前
3秒前
orixero应助cui123采纳,获得10
3秒前
祖之微笑发布了新的文献求助10
3秒前
3秒前
uone完成签到,获得积分10
4秒前
4秒前
emm完成签到,获得积分10
5秒前
万能图书馆应助小李采纳,获得10
5秒前
6秒前
6秒前
6秒前
manjusaka发布了新的文献求助10
7秒前
美好小玉完成签到,获得积分10
7秒前
zongzi12138完成签到,获得积分0
7秒前
ACCEPT完成签到,获得积分10
7秒前
YX1994发布了新的文献求助30
7秒前
南枝焙雪发布了新的文献求助10
8秒前
xinxin完成签到,获得积分10
8秒前
jack发布了新的文献求助10
8秒前
ee发布了新的文献求助10
8秒前
见雨鱼完成签到 ,获得积分10
8秒前
8秒前
余才锐发布了新的文献求助10
8秒前
脑洞疼应助navi采纳,获得10
9秒前
快乐发卡发布了新的文献求助10
9秒前
万能图书馆应助欣慰元蝶采纳,获得10
9秒前
无花果应助酒酿梅子采纳,获得50
10秒前
10秒前
NANA发布了新的文献求助10
10秒前
tianfu1899发布了新的文献求助10
11秒前
懦弱的雪冥完成签到,获得积分10
11秒前
11秒前
hoenglam完成签到,获得积分10
12秒前
隐形曼青应助自由凝竹采纳,获得10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6061587
求助须知:如何正确求助?哪些是违规求助? 7893823
关于积分的说明 16306854
捐赠科研通 5205224
什么是DOI,文献DOI怎么找? 2784815
邀请新用户注册赠送积分活动 1767349
关于科研通互助平台的介绍 1647373