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      Avian Influenza Virus Subtype H9N2 Affects Intestinal Microbiota, Barrier Structure Injury, and Inflammatory Intestinal Disease in the Chicken Ileum

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          Abstract

          Avian influenza virus subtype H9N2 (H9N2 AIV) has caused significant losses to the poultry industry due to the high mortality associated with secondary infections attributable to E. coli. This study tries to address the underlying secondary mechanisms after H9N2 AIV infection. Initially, nine day-old specific pathogen-free chickens were assigned to control (uninfected) and H9N2-infected groups, respectively. Using Illumina sequencing, histological examination, and quantitative real-time PCR, it was found that H9N2 AIV caused intestinal microbiota disorder, injury, and inflammatory damage to the intestinal mucosa. Notably, the genera Escherichia, especially E. coli, significantly increased ( p < 0.01) at five days post-infection (dpi), while Lactobacillus, Enterococcus, and other probiotic organisms were significantly reduced ( p < 0.01). Simultaneously, the mRNA expression of tight junction proteins ( ZO-1, claudin 3, and occludin), TFF2, and Muc2 were significantly reduced ( p < 0.01), indicating the destruction of the intestinal epithelial cell tight junctions and the damage of mucin layer construction. Moreover, the mRNA expression of proinflammatory cytokines IFN-γ, IL-22, IFN-α, and IL-17A in intestinal epithelial cells were significantly upregulated, resulting in the inflammatory response and intestinal injury. Our findings may provide a theoretical basis for observed gastroenteritis-like symptoms such as diarrhea and secondary E. coli infection following H9N2 AIV infection.

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          Host-derived nitrate boosts growth of E. coli in the inflamed gut.

          Changes in the microbial community structure are observed in individuals with intestinal inflammatory disorders. These changes are often characterized by a depletion of obligate anaerobic bacteria, whereas the relative abundance of facultative anaerobic Enterobacteriaceae increases. The mechanisms by which the host response shapes the microbial community structure, however, remain unknown. We show that nitrate generated as a by-product of the inflammatory response conferred a growth advantage to the commensal bacterium Escherichia coli in the large intestine of mice. Mice deficient in inducible nitric oxide synthase did not support the growth of E. coli by nitrate respiration, suggesting that the nitrate generated during inflammation was host-derived. Thus, the inflammatory host response selectively enhances the growth of commensal Enterobacteriaceae by generating electron acceptors for anaerobic respiration.
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            Commensal host-bacterial relationships in the gut.

            One potential outcome of the adaptive coevolution of humans and bacteria is the development of commensal relationships, where neither partner is harmed, or symbiotic relationships, where unique metabolic traits or other benefits are provided. Our gastrointestinal tract is colonized by a vast community of symbionts and commensals that have important effects on immune function, nutrient processing, and a broad range of other host activities. The current genomic revolution offers an unprecedented opportunity to identify the molecular foundations of these relationships so that we can understand how they contribute to our normal physiology and how they can be exploited to develop new therapeutic strategies.
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              Comparison of Next-Generation Sequencing Systems

              With fast development and wide applications of next-generation sequencing (NGS) technologies, genomic sequence information is within reach to aid the achievement of goals to decode life mysteries, make better crops, detect pathogens, and improve life qualities. NGS systems are typically represented by SOLiD/Ion Torrent PGM from Life Sciences, Genome Analyzer/HiSeq 2000/MiSeq from Illumina, and GS FLX Titanium/GS Junior from Roche. Beijing Genomics Institute (BGI), which possesses the world's biggest sequencing capacity, has multiple NGS systems including 137 HiSeq 2000, 27 SOLiD, one Ion Torrent PGM, one MiSeq, and one 454 sequencer. We have accumulated extensive experience in sample handling, sequencing, and bioinformatics analysis. In this paper, technologies of these systems are reviewed, and first-hand data from extensive experience is summarized and analyzed to discuss the advantages and specifics associated with each sequencing system. At last, applications of NGS are summarized.
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                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                18 May 2018
                May 2018
                : 10
                : 5
                : 270
                Affiliations
                [1 ]College of Animal Science, South China Agricultural University, Guangzhou 510642, China; dongkeoffice@ 123456scau.edu.cn (H.L.); fky19842004@ 123456163.com (X.L.); cfy329@ 123456scau.edu.cn (F.C.); che.w@ 123456foxmail.com (C.W.); liaozhihong@ 123456163.com (Y.Y.); wgchen81@ 123456scau.edu.cn (W.C.); wenchenglin@ 123456scau.edu.cn (W.L.)
                [2 ]Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
                [3 ]Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangdong, Guangzhou 510642, China
                [4 ]Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Guangzhou 510642, China
                [5 ]Veterinary Laboratory, Guangzhou Zoo, Guangzhou 510642, China; hnlhxin@ 123456126.com
                [6 ]South China Collaborative Innovation Center for Poultry Disease Control and Product Safety, Guangzhou 510642, China
                Author notes
                [* ]Corresponding: qmx@ 123456scau.edu.cn
                Article
                viruses-10-00270
                10.3390/v10050270
                5977263
                29783653
                c67d98c6-724e-4708-8a6d-a36e72818adb
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 April 2018
                : 15 May 2018
                Categories
                Article

                Microbiology & Virology
                h9n2 aiv,intestinal microbiota,barrier injury,inflammatory intestinal disease,e. coli

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