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      Global airborne bacterial community—interactions with Earth’s microbiomes and anthropogenic activities

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          Understanding the interactions of planetary microbiomes and their ecological and health consequences requires in-depth knowledge of bacterial communities in the atmosphere, which is the most untouched microbial habitat on the Earth. By establishing a comprehensive atlas of global airborne bacteria, we found that half of the airborne bacteria originate from surrounding environments and are mainly influenced by local meteorological and air quality conditions. One feature of the airborne bacteria in urban areas is that an increasing proportion consists of potential pathogens from human-related sources. The present study defines the aerial microbial world and its origins in a changing climate, and contributes to assessments of the health impact in atmospheric environments.

          Abstract

          Airborne bacteria are an influential component of the Earth’s microbiomes, but their community structure and biogeographic distribution patterns have yet to be understood. We analyzed the bacterial communities of 370 air particulate samples collected from 63 sites around the world and constructed an airborne bacterial reference catalog with more than 27 million nonredundant 16S ribosomal RNA (rRNA) gene sequences. We present their biogeographic pattern and decipher the interlacing of the microbiome co-occurrence network with surface environments of the Earth. While the total abundance of global airborne bacteria in the troposphere (1.72 × 10 24 cells) is 1 to 3 orders of magnitude lower than that of other habitats, the number of bacterial taxa (i.e., richness) in the atmosphere (4.71 × 10 8 to 3.08 × 10 9) is comparable to that in the hydrosphere, and its maximum occurs in midlatitude regions, as is also observed in other ecosystems. The airborne bacterial community harbors a unique set of dominant taxa (24 species); however, its structure appears to be more easily perturbed, due to the more prominent role of stochastic processes in shaping community assembly. This is corroborated by the major contribution of surface microbiomes to airborne bacteria (averaging 46.3%), while atmospheric conditions such as meteorological factors and air quality also play a role. Particularly in urban areas, human impacts weaken the relative importance of plant sources of airborne bacteria and elevate the occurrence of potential pathogens from anthropogenic sources. These findings serve as a key reference for predicting planetary microbiome responses and the health impacts of inhalable microbiomes with future changes in the environment.

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          Most cited references51

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          Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities.

          mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools to provide a flexible and powerful software package for analyzing sequencing data. As a case study, we used mothur to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the alpha and beta diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments. This analysis of more than 222,000 sequences was completed in less than 2 h with a laptop computer.
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            VSEARCH: a versatile open source tool for metagenomics

            Background VSEARCH is an open source and free of charge multithreaded 64-bit tool for processing and preparing metagenomics, genomics and population genomics nucleotide sequence data. It is designed as an alternative to the widely used USEARCH tool (Edgar, 2010) for which the source code is not publicly available, algorithm details are only rudimentarily described, and only a memory-confined 32-bit version is freely available for academic use. Methods When searching nucleotide sequences, VSEARCH uses a fast heuristic based on words shared by the query and target sequences in order to quickly identify similar sequences, a similar strategy is probably used in USEARCH. VSEARCH then performs optimal global sequence alignment of the query against potential target sequences, using full dynamic programming instead of the seed-and-extend heuristic used by USEARCH. Pairwise alignments are computed in parallel using vectorisation and multiple threads. Results VSEARCH includes most commands for analysing nucleotide sequences available in USEARCH version 7 and several of those available in USEARCH version 8, including searching (exact or based on global alignment), clustering by similarity (using length pre-sorting, abundance pre-sorting or a user-defined order), chimera detection (reference-based or de novo), dereplication (full length or prefix), pairwise alignment, reverse complementation, sorting, and subsampling. VSEARCH also includes commands for FASTQ file processing, i.e., format detection, filtering, read quality statistics, and merging of paired reads. Furthermore, VSEARCH extends functionality with several new commands and improvements, including shuffling, rereplication, masking of low-complexity sequences with the well-known DUST algorithm, a choice among different similarity definitions, and FASTQ file format conversion. VSEARCH is here shown to be more accurate than USEARCH when performing searching, clustering, chimera detection and subsampling, while on a par with USEARCH for paired-ends read merging. VSEARCH is slower than USEARCH when performing clustering and chimera detection, but significantly faster when performing paired-end reads merging and dereplication. VSEARCH is available at https://github.com/torognes/vsearch under either the BSD 2-clause license or the GNU General Public License version 3.0. Discussion VSEARCH has been shown to be a fast, accurate and full-fledged alternative to USEARCH. A free and open-source versatile tool for sequence analysis is now available to the metagenomics community.
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              Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms

              DNA sequencing continues to decrease in cost with the Illumina HiSeq2000 generating up to 600 Gb of paired-end 100 base reads in a ten-day run. Here we present a protocol for community amplicon sequencing on the HiSeq2000 and MiSeq Illumina platforms, and apply that protocol to sequence 24 microbial communities from host-associated and free-living environments. A critical question as more sequencing platforms become available is whether biological conclusions derived on one platform are consistent with what would be derived on a different platform. We show that the protocol developed for these instruments successfully recaptures known biological results, and additionally that biological conclusions are consistent across sequencing platforms (the HiSeq2000 versus the MiSeq) and across the sequenced regions of amplicons.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                10 October 2022
                18 October 2022
                10 October 2022
                : 119
                : 42
                : e2204465119
                Affiliations
                [1] aDepartment of Civil and Environmental Engineering, The Hong Kong Polytechnic University , Kowloon, Hong Kong;
                [2] bDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University , Kowloon, Hong Kong;
                [3] cShanghai Engineering Research Center of Biotransformation on Organic Solid Waste, School of Ecological and Environmental Science, East China Normal University , Shanghai 200241, China;
                [4] dState Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences , Guangzhou 510640, China;
                [5] eState Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences , Guiyang 550002, China;
                [6] fState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences , Beijing 100101, China;
                [7] gInstitute of Surface-Earth System Science, School of Earth System Science, Tianjin University , Tianjin 300072, China;
                [8] hCollege of Resources and Environment, University of Chinese Academy of Sciences , Beijing 100049, China;
                [9] iInternational Center for Ecology, Meteorology, and Environment, School of Applied Meteorology, Nanjing University of Information Science and Technology , Nanjing 210044, China;
                [10] jDepartment of Plant, Soil and Microbial Sciences, Michigan State University , East Lansing, MI 48824;
                [11] kDepartment of Microbiology and Molecular Genetics, Michigan State University , East Lansing, MI 48824
                Author notes
                1To whom correspondence may be addressed. Email: tiedjej@ 123456msu.edu or cexdli@ 123456polyu.edu.hk .

                Contributed by James M. Tiedje; received April 14, 2022; accepted September 12, 2022; reviewed by Anne Perring and Brajesh Singh

                Author contributions: J.Z., L.J., D.W., J.-w.X., J.M.T., and X.-d.L. designed research; J.Z. performed research; J.Z., L.J., D.W., J.-w.X., J.M.T., and X.-d.L. analyzed data; J.Z., L.J., D.W., J.M.T., and X.-d.L. wrote the paper; J.Z. and J.-w.X. collected samples and processed the data; and J.L., X.-w.F., Z.-y.C., P.-q.F., Y.Z., X.-s.L., X.-b.F., and G.Z. collected atmosphere samples and contributed new reagents.

                Author information
                https://orcid.org/0000-0003-1267-7396
                https://orcid.org/0000-0003-3059-0593
                https://orcid.org/0000-0002-8495-1860
                https://orcid.org/0000-0002-7462-8998
                https://orcid.org/0000-0002-8992-6218
                https://orcid.org/0000-0002-4044-2888
                Article
                202204465
                10.1073/pnas.2204465119
                9586312
                36215495
                13575101-0dac-4212-a4c1-f52293fec76f
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 12 September 2022
                Page count
                Pages: 9
                Funding
                Funded by: Natural National Science Foundation of China
                Award ID: 92043302
                Award Recipient : Jue Zhao Award Recipient : Ling Jin Award Recipient : Dong Wu Award Recipient : Jiawen Xie Award Recipient : Jun Li Award Recipient : Xuewu Fu Award Recipient : Zhiyuan Cong Award Recipient : Pingqing Fu Award Recipient : Yang Zhang Award Recipient : Xiao-san Luo Award Recipient : Xinbin Feng Award Recipient : Gan Zhang Award Recipient : James M Tiedje Award Recipient : Xiangdong Li
                Funded by: Strategid PriorityResearch Program of CAS
                Award ID: XDB40000000
                Award Recipient : Jue Zhao Award Recipient : Ling Jin Award Recipient : Dong Wu Award Recipient : Jiawen Xie Award Recipient : Jun Li Award Recipient : Xuewu Fu Award Recipient : Zhiyuan Cong Award Recipient : Pingqing Fu Award Recipient : Yang Zhang Award Recipient : Xiao-san Luo Award Recipient : Xinbin Feng Award Recipient : Gan Zhang Award Recipient : James M Tiedje Award Recipient : Xiangdong Li
                Funded by: Hong Kong Research Grants Council
                Award ID: 15210618 and T21-705/20-N
                Award Recipient : Jue Zhao Award Recipient : Ling Jin Award Recipient : Dong Wu Award Recipient : Jiawen Xie Award Recipient : Jun Li Award Recipient : Xuewu Fu Award Recipient : Zhiyuan Cong Award Recipient : Pingqing Fu Award Recipient : Yang Zhang Award Recipient : Xiao-san Luo Award Recipient : Xinbin Feng Award Recipient : Gan Zhang Award Recipient : James M Tiedje Award Recipient : Xiangdong Li
                Funded by: U.S.National Science Foundation
                Award ID: (DBI-1759892
                Award Recipient : Jue Zhao Award Recipient : Ling Jin Award Recipient : Dong Wu Award Recipient : Jiawen Xie Award Recipient : Jun Li Award Recipient : Xuewu Fu Award Recipient : Zhiyuan Cong Award Recipient : Pingqing Fu Award Recipient : Yang Zhang Award Recipient : Xiao-san Luo Award Recipient : Xinbin Feng Award Recipient : Gan Zhang Award Recipient : James M Tiedje Award Recipient : Xiangdong Li
                Categories
                417
                Biological Sciences
                Environmental Sciences

                airborne bacteria,earth microbiome,bioaerosols,anthropogenic impacts,biogeography

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