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      Hen raising helps chicks establish gut microbiota in their early life and improve microbiota stability after H9N2 challenge

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          Abstract

          Background

          Early gut microbial colonization is important for postnatal growth and immune development of the chicken. However, at present, commercial chickens are hatched and raised without adult hens, thus are cut off from the microbiota transfer between hens and chicks. In this study, we compared the gut microbiota composition between hen-reared and separately reared chicks, and its impact on the resistance to H9N2 avian influenza virus, with the motive of investigating the impact of this cutoff in microbiota transfer.

          Results

          We used the 16SrRNA sequencing method to assess the composition of the gut microbiota in chicks represented by three hen-reared groups and one separately reared group. We found that the diversity of gut microbes in the chicks from the three hen-reared groups was more abundant than in the separately reared group, both at the phylum and genus levels. Our findings highlight the importance of early parental care in influencing the establishment of gut microbiota in the early life of chicks. SourceTracker analysis showed that the feather and cloaca microbiota of hens are the main sources of gut microbiota of chicks. After H9N2 exposure, the viral infection lasted longer in the separately reared chicks, with the viral titers in their oropharyngeal swabs being higher compared to the hen-reared chicks at day 5 post-infection. Interestingly, our results revealed that the gut microbiota of the hen-reared chicks was more stable after H9N2 infection in comparison to that of the separately reared chicks.

          Conclusions

          Microbiota transfer between the hens and their chicks promotes the establishment of a balanced and diverse microbiota in the early life of the chicks and improves microbiota stability after H9N2 challenge. These findings advance our understanding of the protective role of gut microbiota in the early life of chicks and should be instrumental in improving chick rearing in the commercial poultry industry.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40168-021-01200-z.

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          Most cited references42

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              FLASH: fast length adjustment of short reads to improve genome assemblies.

              Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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                Author and article information

                Contributors
                shenyy@scau.edu.cn
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                24 January 2022
                24 January 2022
                2022
                : 10
                : 14
                Affiliations
                [1 ]GRID grid.20561.30, ISNI 0000 0000 9546 5767, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, , South China Agricultural University, ; Guangzhou, 510642 China
                [2 ]GRID grid.20561.30, ISNI 0000 0000 9546 5767, Guangdong Laboratory for Lingnan Modern Agriculture, ; Guangzhou, 510642 China
                [3 ]GRID grid.449005.c, Department of Biotechnology, , Lovely Professional University, ; Bengaluru, India
                [4 ]Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing, 526238 China
                [5 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Laboratory Medicine and Pathobiology, , University of Toronto, ; Toronto, M5S1A8 Canada
                [6 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Banting and Best Diabetes Centre, , University of Toronto, ; Toronto, M5S1A8 Canada
                [7 ]GRID grid.484195.5, Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, ; Guangzhou, China
                Author information
                http://orcid.org/0000-0001-7660-5522
                Article
                1200
                10.1186/s40168-021-01200-z
                8785444
                35074015
                e1b05397-ada4-4b71-8220-b4566c582be7
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 July 2021
                : 22 November 2021
                Funding
                Funded by: guangdong major project of basic and applied basic research
                Award ID: 2020B0301030007
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
                Award ID: 31822056
                Award Recipient :
                Categories
                Research
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                © The Author(s) 2022

                gut microbiota,maternal microbial transmission,h9n2 avian influenza virus,disease resistance

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