1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Identification of an intraocular microbiota

      research-article
      1 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 3 , 1 , 2 , 1 , 1 , 1 , 3 , 4 , 5 , 6 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 7 , 7 , 7 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 3 , 1 , 8 , 9 , 1 , 1 , 1 , , 10 , 11 , , 1 ,
      Cell Discovery
      Springer Singapore
      Innate immunity, Genomic analysis

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The current dogma in ophthalmology and vision research presumes the intraocular environment to be sterile. However, recent evidence of intestinal bacterial translocation into the bloodstream and many other internal organs including the eyes, found in healthy and diseased animal models, suggests that the intraocular cavity may also be inhabited by a microbial community. Here, we tested intraocular samples from over 1000 human eyes. Using quantitative PCR, negative staining transmission electron microscopy, direct culture, and high-throughput sequencing technologies, we demonstrated the presence of intraocular bacteria. The possibility that the microbiome from these low-biomass communities could be a contamination from other tissues and reagents was carefully evaluated and excluded. We also provide preliminary evidence that a disease-specific microbial signature characterized the intraocular environment of patients with age-related macular degeneration and glaucoma, suggesting that either spontaneous or pathogenic bacterial translocation may be associated with these common sight-threatening conditions. Furthermore, we revealed the presence of an intraocular microbiome in normal eyes from non-human mammals and demonstrated that this varied across species (rat, rabbit, pig, and macaque) and was established after birth. These findings represent the first-ever evidence of intraocular microbiota in humans.

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: not found

          HISAT: a fast spliced aligner with low memory requirements.

          HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Metagenomic biomarker discovery and explanation

            This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Kraken: ultrafast metagenomic sequence classification using exact alignments

              Kraken is an ultrafast and highly accurate program for assigning taxonomic labels to metagenomic DNA sequences. Previous programs designed for this task have been relatively slow and computationally expensive, forcing researchers to use faster abundance estimation programs, which only classify small subsets of metagenomic data. Using exact alignment of k-mers, Kraken achieves classification accuracy comparable to the fastest BLAST program. In its fastest mode, Kraken classifies 100 base pair reads at a rate of over 4.1 million reads per minute, 909 times faster than Megablast and 11 times faster than the abundance estimation program MetaPhlAn. Kraken is available at http://ccb.jhu.edu/software/kraken/.
                Bookmark

                Author and article information

                Contributors
                yzliu62@yahoo.com
                richard.lee16@nhs.net
                weil9@mail.sysu.edu.cn
                Journal
                Cell Discov
                Cell Discov
                Cell Discovery
                Springer Singapore (Singapore )
                2056-5968
                9 March 2021
                9 March 2021
                2021
                : 7
                : 13
                Affiliations
                [1 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, , Sun Yat-sen University, ; Guangzhou, Guangdong 510060 China
                [2 ]Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730 China
                [3 ]GRID grid.412729.b, ISNI 0000 0004 1798 646X, Tianjin Medical University Eye Hospital, , Eye Institute & School of Optometry and Ophthalmology, ; Tianjin, 300384 China
                [4 ]GRID grid.415954.8, ISNI 0000 0004 1771 3349, Department of Ophthalmology, , China-Japan Friendship Hospital, ; Beijing, 100029 China
                [5 ]GRID grid.207374.5, ISNI 0000 0001 2189 3846, Department of Pathophysiology, , Basic Medical College of Zhengzhou University, ; Zhengzhou, He’nan 450001 China
                [6 ]GRID grid.414252.4, ISNI 0000 0004 1761 8894, Department of Ophthalmology, , General Hospital of Chinese People’s Liberation Army, ; Beijing, 100853 China
                [7 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, State Key Laboratory of Biocontrol, MOE Key Laboratory of Aquatic Product Safety, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, , Sun Yat-sen University, ; Guangzhou, Guangdong 510275 China
                [8 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Biostatistics, , University of Pittsburgh, ; Pittsburgh, PA 15261 USA
                [9 ]GRID grid.239553.b, ISNI 0000 0000 9753 0008, Division of Pulmonary Medicine, Allergy and Immunology, Department of Pediatrics, , Children’s Hospital of Pittsburgh of UPMC, ; Pittsburgh, PA 15224 USA
                [10 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, Translational Health Sciences, , University of Bristol, ; Bristol, UK
                [11 ]GRID grid.451056.3, ISNI 0000 0001 2116 3923, National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, ; London, UK
                Author information
                http://orcid.org/0000-0001-9460-8049
                Article
                245
                10.1038/s41421-021-00245-6
                7943566
                33750767
                b731ff59-e388-4696-8e04-81262506adf8
                © The Author(s) 2021

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 December 2020
                : 26 January 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 81570828
                Award ID: 81530028
                Award ID: 81721003
                Award Recipient :
                Funded by: the National Basic Research Program of China 2015CB964601, the Li Foundation Heritage Prize
                Funded by: the Guangdong Province Science & Technology Plan (2014B020228002), the National Key Basic Research and 973 Development Program of China (2015CB964600), Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program, Clinical Innovation Research Program of Guangzhou Regenerative Medicine and Health Guangdong Laboratory (2018GZR0201001)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                innate immunity,genomic analysis
                innate immunity, genomic analysis

                Comments

                Comment on this article