Enrichment of Acinetobacter spp. from food samples

Carvalheira, Ana; Ferreira, Vânia; Silva, Joana; Teixeira, Paula

doi:10.1016/j.fm.2015.11.002

Cited by 25 publications

(14 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Little is known about the role of foods in the transmission of Acinetobacter spp., probably because there are no standard procedures to recover them from foods (CARVALHEIRA et al, 2016;AMORIM & NASCIMENTO, 2017). However, many papers described the presence of Acinetobacter spp.…”

mentioning

confidence: 99%

Characterization of Acinetobacter spp. from raw goat Milk

Ramos

Nascimento

2019

Cienc. Rural

View full text Add to dashboard Cite

Goat’s milk has been suggested as an alternative to cow’s milk, being a better digestible and hypoallergenic option. However, the presence of contaminating bacteria may significantly affect the safety of the product. In this research, we reported the isolation and characterization of Acinetobacter spp. isolates from raw goat milk samples purchased in the state of Rio de Janeiro, Brazil. Twenty-one samples were analyzed and ten isolates of Acinetobacter spp. were obtained. Six were identified as A. guillouiae, three as A. ursingii, and one as A. bereziniae. These isolates were characterized and eight showed proteolytic activity, seven showed lipolytic activity, and five isolates were able to produce both enzymes. None of the isolates was biofilm producer. However, when the production of antibiotic resistance enzymes KPC and ESBL were investigated, all isolates presented ESBL-positive phenotype, while eight (80%) were KPC-positive. This research, therefore, demonstrated that raw goat’s milk can also be a source of Acinetobacter spp., which can produce important thermostable deteriorating enzymes and may play a role of reservoirs of antibiotic resistance genes.

show abstract

mentioning

confidence: 99%

Characterization of Acinetobacter spp. from raw goat Milk

Ramos

Nascimento

2019

Cienc. Rural

View full text Add to dashboard Cite

show abstract

“…The dominant genera changed dramatically because the tuna was subject to temperature fluctuations (Stanbridge & Davies, ). Bacteria of the genus Acinetobacter have been isolated from a wide variety of fish samples and are the major cause of fish spoilage (Carvalheira, Ferreira, Silva, & Teixeira, ; Gennari, Parini, Volpon, & Serio, ; Kämpfer, ; Liu et al, ). According to the literature, in the case of temperature abuse, Pseudomonas and Acinetobacter are predominant organisms in the spoilage microbiota (Gill & Newton, ).…”

Section: Resultsmentioning

confidence: 99%

Water dynamics and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics

Wang

Xie

2020

Journal of Food Safety

View full text Add to dashboard Cite

This study investigated changes in the physicochemical indexes, water dynamics, and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics. With increasing storage time, the color and water activity decreased gradually, while drip loss gradually increased, and pH increased with a fluctuating pattern. The trend of bound water content was not obvious, trapped water declined, and free water increased with fluctuations over time, according to low‐field nuclear magnetic resonance (LF‐1H NMR). High‐throughput sequencing results indicated that fluctuating temperatures inhibited Acinetobacter and Pseudomonas and promoted Pelomonas, Psychrobacter, and Shewanella. Principal component analysis and redundancy analysis revealed significantly different microbial community interactions among the four groups, and environmental factors had distinct effects on bacterial community assemblages. LF‐NMR and high‐throughput sequencing can be used to monitor dynamic quality changes in bigeye tuna during simulated cold chain logistics with fluctuating temperatures.

show abstract

“…Arthrobacter was associated with spring, Kocuria and Deinococcus were associated with summer, Acinetobacter was associated with autumn, and Streptococcus was associated with winter. These bacterial taxa have been isolated from the environment as well as animals and physiologically characterized (25)(26)(27)(28)(29)(30)(31)(32). Streptococcus is a common resident of human skin.…”

Section: Discussionmentioning

confidence: 99%

Skin Microbiota of the Captive Giant Panda (Ailuropoda Melanoleuca) and the Distribution of Opportunistic Skin Disease-Associated Bacteria in Different Seasons

et al. 2021

Front. Vet. Sci.

View full text Add to dashboard Cite

The giant panda is one of the rarest animals in the world. Skin diseases seriously endanger the health of giant panda and are considered the second major cause of its morbidity. Skin microbiota is a complex ecosystem, and the community structure and the pathogenic potential of bacteria on giant panda skin remain largely unclear. In order to understand the skin bacterial flora of captive giant pandas, the microbiota in giant panda skin samples collected during different seasons was profiled via 16S rRNA gene sequencing. In total, 522 genera from 53 bacterial phyla were detected, with Proteobacteria (40.5%), Actinobacteria (23.1%), Firmicutes (21.1%), Bacteroidetes (9.5%), Cyanobacteria (2.1%), and Thermi (1.2%) as the predominant phyla and Streptococcus (13.9%), Acinetobacter (9.2%), Staphylococcus (2.9%), Pseudomonas (5.9%), Dermacoccus (4.8%), Brachybacterium (2.9%), Escherichia (2.7%), Chryseobacterium (2.1%), Arthrobacter (1.6%), Kocuria (1.5%), Psychrobacter (1.2%), Deinococcus (1.1%), and Flavobacterium (1.1%) as the predominant genera. The results indicated that the diversity was lower in winter than in other seasons and higher in autumn than in other seasons, and the abundance in spring was significantly higher than that in other seasons. Several skin disease-associated bacteria were detected as opportunists in the skin microbiota of healthy giant pandas. In this study, the results indicated that the high diversity and abundance of the skin bacteria may have enhanced the occurrence of skin disease in autumn and spring and that skin disease-associated bacteria are the normal components of the skin microbiota.

show abstract

Enrichment of Acinetobacter spp. from food samples

Cited by 25 publications

References 31 publications

Characterization of Acinetobacter spp. from raw goat Milk

Characterization of Acinetobacter spp. from raw goat Milk

Water dynamics and microbial communities of bigeye tuna (Thunnus obesus) during simulated cold chain logistics

Skin Microbiota of the Captive Giant Panda (Ailuropoda Melanoleuca) and the Distribution of Opportunistic Skin Disease-Associated Bacteria in Different Seasons

Contact Info

Product

Resources

About