Journal of Microbiology

Journal Article

Correlation between fat accumulation and fecal microbiota in crossbred pigs: Xin Li , Mengyu Li , Jinyi Han , Chuang Liu , Xuelei Han , Kejun Wang , Ruimin Qiao , Xiu-Ling Li , Xin-Jian Li; J. Microbiol. 2022;60(11):1077-1085. Published online September 9, 2022; DOI: https://doi.org/10.1007/s12275-022-2218-5

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Backfat thickness (BF) is an important indicator of fat deposition capacity and lean meat rate in pigs and is very important in porcine genetics and breeding. Intestinal microbiota plays a key role in nutrient digestion and utilization with a profound impact on fat deposition of livestock animals. To investigate the relationship between the pig gut microbiome and BF, 20 low-BF (L-BF) and 20 high-BF (H-BF) pigs were selected as two groups from Yunong Black pigs in the present study. Fecal samples from pigs were analyzed for microbial diversity, composition, and predicted functionality using 16S rRNA gene sequencing. The results showed that there were significant differences in microbial β diversity between the two groups. LEfSe analysis revealed a number of bacterial features being differentially enriched in either L-BF or H-BF pigs. Spearman correlation analysis identified the abundance of Oscillospira, Peptococcus, and Bulleidia were significantly positive correlations with BF (P < 0.05), while Sutterella and Bifidobacterium were significantly negatively correlated with BF (P < 0.05). Importantly, the bacteria significantly positively correlated with BF mainly belong to Clostridium, which can ferment host-indigestible plant polysaccharides into shortchain fatty acid (SCFA) and promote fat synthesis and deposition. Predictive functional analysis indicated that the pathway abundance of cell motility and glycan biosynthesis were significantly widespread in the microbiota of the H-BF group. The results of this study will be useful for the development of microbial biomarkers for predicting and improving porcine BF, as well as for the investigation of targets for dietary strategies.

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Carboxymethyl chitosan-dialdehyde glucan/polydopamine carrier targeted delivery Bacillus subtilis on enhancing oral utilization and intestinal colonization in mice
Lulu Chu, Luyu Xie, Bingzhi Chen, Yuji Jiang, Wenjie Wang
International Journal of Biological Macromolecules.2024; 280: 135574. CrossRef
Impact of Early Weaning on Development of the Swine Gut Microbiome
Benoit St-Pierre, Jorge Yair Perez Palencia, Ryan S. Samuel
Microorganisms.2023; 11(7): 1753. CrossRef
Comparison of Conjunctival Sac Microbiome between Low and High Myopic Eyes
Kang Xiao, Zhengyu Chen, Qin Long
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Research Support, Non-U.S. Gov'ts

Prevalence of avian influenza virus in wild birds before and after the HPAI H5N8 outbreak in 2014 in South Korea: Jeong-Hwa Shin , Chanjin Woo , Seung-Jun Wang , Jipseol Jeong , In-Jung An , Jong-Kyung Hwang , Seong-Deok Jo , Seung Do Yu , Kyunghee Choi , Hyen-Mi Chung , Jae-Hwa Suh , Seol-Hee Kim; J. Microbiol. 2015;53(7):475-480. Published online June 27, 2015; DOI: https://doi.org/10.1007/s12275-015-5224-z

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Abstract

Since 2003, highly pathogenic avian influenza (HPAI) virus outbreaks have occurred five times in Korea, with four HPAI H5N1 outbreaks and one HPAI H5N8 outbreak. Migratory birds have been suggested to be the first source of HPAI in Korea. Here, we surveyed migratory wild birds for the presence of AI and compared regional AI prevalence in wild birds from September 2012 to April 2014 for birds having migratory pathways in South Korea. Finally, we investigated the prevalence of AI in migratory birds before and after HPAI H5N8 outbreaks. Overall, we captured 1617 migratory wild birds, while 18,817 feces samples and 74 dead birds were collected from major wild bird habitats. A total of 21 HPAI viruses were isolated from dead birds, and 86 low pathogenic AI (LPAI) viruses were isolated from captured birds and from feces samples. Spatiotemporal distribution analysis revealed that AI viruses were spread southward until December, but tended to shift north after January, consistent with the movement of migratory birds in South Korea. Furthermore, we found that LPAI virus prevalences within wild birds were notably higher in 2013?014 than the previous prevalence during the northward migration season. The data from our study demonstrate the importance of the surveillance of AI in wild birds. Future studies including in-depth genetic analysis in combination with evaluation of the movement and ecology of migratory birds might help us to bridge the gaps in our knowledge and better explain, predict, and ultimately prevent future HPAI outbreaks.

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Prevalence, Seroprevalence and Risk Factors of Avian Influenza in Wild Bird Populations in Korea: A Systematic Review and Meta-Analysis
Eurade Ntakiyisumba, Simin Lee, Byung-Yong Park, Hyun-Jin Tae, Gayeon Won
Viruses.2023; 15(2): 472. CrossRef
The global prevalence of highly pathogenic avian influenza A (H5N8) infection in birds: A systematic review and meta-analysis
Xue-Yao Yang, Qing-Long Gong, Yan-Jin Li, Emad Beshir Ata, Man-Jie Hu, Yong-Yang Sun, Zhi-Yang Xue, Ying-Shi Yang, Xue-Pan Sun, Chun-Wei Shi, Gui-Lian Yang, Hai-Bin Huang, Yan-Long Jiang, Jian-Zhong Wang, Xin Cao, Nan Wang, Yan Zeng, Wen-Tao Yang, Chun-Fe
Microbial Pathogenesis.2023; 176: 106001. CrossRef
Avian influenza virus surveillance in wild bird in South Korea from 2019 to 2022
Eun-Jee Na, Su-Beom Chae, Jun-Soo Park, Yoon-Ji Kim, Young-Sik Kim, Jae-Ku Oem
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A literature review of the use of environmental sampling in the surveillance of avian influenza viruses
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Transboundary and Emerging Diseases.2021; 68(1): 110. CrossRef
Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014–2015
Kyuyoung Lee, Daesung Yu, Beatriz Martínez-López, Hachung Yoon, Sung-Il Kang, Seong-Keun Hong, Ilseob Lee, Yongmyung Kang, Wooseg Jeong, Eunesub Lee
Scientific Reports.2020;[Epub] CrossRef
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Chelsea G. Himsworth, Jun Duan, Natalie Prystajecky, Michelle Coombe, Waren Baticados, Agatha N. Jassem, Patrick Tang, Eric Sanders, William Hsiao
Journal of Wildlife Diseases.2020; 56(2): 397. CrossRef
The Emergence and Decennary Distribution of Clade 2.3.4.4 HPAI H5Nx
Khristine Joy C. Antigua, Won-Suk Choi, Yun Hee Baek, Min-Suk Song
Microorganisms.2019; 7(6): 156. CrossRef
A review of H5Nx avian influenza viruses
Ivette A. Nuñez, Ted M. Ross
Therapeutic Advances in Vaccines and Immunotherapy.2019;[Epub] CrossRef
Risk factors associated with highly pathogenic avian influenza subtype H5N8 outbreaks on broiler duck farms in South Korea
W.-H. Kim, J.-U. An, J. Kim, O.-K. Moon, S. H. Bae, J. B. Bender, S. Cho
Transboundary and Emerging Diseases.2018; 65(5): 1329. CrossRef
Multidimensional analysis model for highly pathogenic avian influenza using data cube and data mining techniques
Zhenshun Xu, Jonguk Lee, Daihee Park, Yongwha Chung
Biosystems Engineering.2017; 157: 109. CrossRef
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Joon Young Song, Min Joo Choi, Ji Yun Noh, Won Suk Choi, Hee Jin Cheong, Seong-Heon Wie, Jin-Soo Lee, Gyu-Jin Woo, Sang Ho Lee, Woo Joo Kim
Human Vaccines & Immunotherapeutics.2017; 13(5): 1190. CrossRef
Emergence and dissemination of clade 2.3.4.4 H5Nx influenza viruses — how is the Asian HPAI H5 lineage maintained
Filip Claes, Subhash P Morzaria, Ruben O Donis
Current Opinion in Virology.2016; 16: 158. CrossRef
Tracking Mallards (Anas platyrhynchos) with GPS Satellite Transmitters Along Their Migration Route Through Northeast Asia
Jeong-Hwa Shin, Ki-Sup Lee, Seol-Hee Kim, Jong-Kyung Hwang, Chanjin Woo, Jiyeon Kim, Jung-Hyun Kim, Jae-Hwa Suh, Jipseol Jeong, Seung-Jun Wang, Hyen-Mi Chung, Seung-do Yu, Kyung-Hee Choi, In-Pil Mo
Avian Diseases.2016; 60(1s): 311. CrossRef

Adjuvant Efficacy of mOMV against Avian Influenza Virus Infection in Mice: Byeong-Jae Lee , Sang-Ho Lee , Min-Suk Song , Philippe Noriel Q. Pascua , Hyeok-il Kwon , Su-Jin Park , Eun-Ha Kim , Arun Decano , Se Mi Kim , Gyo Jin Lim , Doo-Jin Kim , Kyu-Tae Chang , Sang-Hyun Kim , Young Ki Choi; J. Microbiol. 2013;51(5):682-688. Published online October 31, 2013; DOI: https://doi.org/10.1007/s12275-013-3411-3

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Abstract: Highly pathogenic avian influenza H5N1 viruses are found chiefly in birds and have caused severe disease and death in infected humans. Development of influenza vaccines capable of inducing heterosubtypic immunity against a broad range of influenza viruses is the best option for the preparedness, since vaccination remains the principal method in controlling influenza viral infections. Here, a mOMV-adjuvanted recombinant H5N2 (rH5N2) whole virus antigen vaccine with A/Environment/Korea/W149/06(H5N1)-derived H5 HA and A/Chicken/Korea/ma116/04(H9N2)-derived N2 NA in the backbone of A/Puerto Rico/8/34(H1N1) was prepared and generated by reverse genetics. Groups of mice were vaccinated by a prime-boost regime with the rH5N2 vaccine (1.75 μg of HA with/without 10 μg mOMV or aluminum hydroxide adjuvant for comparison). At two weeks post-immunizations, vaccinated mice were challenged with lethal doses of 103.5 EID50/ml of H5N1 or H9N2 avian influenza viruses, and were monitored for 15 days. Both mOMV- and alum-adjuvant vaccine groups had high survival rates after H5N1 infection and low levels of body weight changes compared to control groups. Interestingly, the mOMV-adjuvanted group induced better cross-reactive antibody responses serologically and promoted cross-protectivity against H5N1 and H9N2 virus challenges. Our results suggest that mOMV could be used as a vaccine adjuvant in the development of effective vaccines used to control influenza A virus transmission.

Genome Sequence Analysis of H5N1 Influenza A Virus Isolated from a Vietnamese in 2007: Dieu Linh Tran , Kangmo Kim , Jae Yoo Choi , Hyun Dong Paik , Si-Woo Choi , Jin Yeul Ma , Sung-Soon Kim , Sung Joon Ahn , Young Bong Kim; J. Microbiol. 2011;49(2):274-279. Published online May 3, 2011; DOI: https://doi.org/10.1007/s12275-011-0311-2

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Abstract: Highly pathogenic H5N1 avian influenza A virus (AIV) crossed the species barrier and caused a number of deaths in humans in Vietnam and 14 other countries. Since the last report of human H5N1 infection in November 2005, the first documented H5N1 human infection was reported in June 2007 in Vietnam and was followed by 7 more cases, including 5 fatalities. In this study, we isolated and analyzed the full length of the H5N1 genome from a sample from the first patient in 2007. Phylogenetic analysis of eight genomic segments of the H5N1 virus strain (A/Vietnam/HN/2007, VNH07) revealed that this strain appears to be of genotype V and contains the HA gene, which is classified into clade 2.3.4. The deduced amino acid sequence of the HA protein has a typical affinity sequence for α2,3 linkage (SAα2,3-Gal) receptors and typical multibasic cleavage sequences. Compared with other H5N1 isolates, VNH07 showed that the possible reassortments for the NA and NP segments occurred between A/goose/Guangxi/3017/2005-like isolates (2.3.2) and A/human/Zhejiang/16/2006-like isolates (2.3.4).

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