Erosion Reduces Soil Microbial Diversity, Network Complexity and Multifunctionality
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Evolution of Bacterial Communities in the Wheat Crop Rhizosphere
bs_bs_banner Environmental Microbiology (2014) doi:10.1111/1462-2920.12452 Evolution of bacterial communities in the wheat crop rhizosphere Suzanne Donn, John A. Kirkegaard, Geetha Perera, per year, yet need to lift to at least 1.5% per year by 2050 Alan E. Richardson and Michelle Watt* to avoid food price increases (Fischer and Edmeades, CSIRO Plant Industry, GPO Box 1600, Canberra, ACT 2010). Intensive cereal systems, including wheat following 2601, Australia. wheat rotations, dominate many global food production systems and yields have been declining in these systems, often due to undiagnosed soil biological causes (Lobell Summary et al., 2009). Developing a predictive understanding of the The gap between current average global wheat yields links between soil biology, agronomy and crop perfor- and that achievable through best agronomic manage- mance would be a first step towards improving productivity ment and crop genetics is large. This is notable in of intensive cereals, and would have a major impact on intensive wheat rotations which are widely used. global food production (Cassman, 1999). Expectations are that this gap can be reduced by Globally, expectations are high that soil biology can be manipulating soil processes, especially those that manipulated through crop management and genetics involve microbial ecology. Cross-year analysis of the to increase yields in agricultural production systems soil microbiome in an intensive wheat cropping (Morrissey et al., 2004; Welbaum et al., 2004). Rhizobial system revealed that rhizosphere bacteria changed associations with legumes for N2-fixation, crop species much more than the bulk soil community. Dominant rotation for pathogen control and mycorrhizal associations factors influencing populations included binding to are obvious examples that have had clear productivity roots, plant age, site and planting sequence. -
Plant Phenology Influences Rhizosphere Microbial Community and Is Accelerated by Serpentine 2 Microorganisms in Plantago Erecta
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.29.437500; this version posted March 29, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Plant phenology influences rhizosphere microbial community and is accelerated by serpentine 2 microorganisms in Plantago erecta. 3 4 Authors: Alexandria N. Igwe1, Bibi Quasem2, Naomi Liu2, Rachel L. Vannette2 5 6 Address: 7 1. University of Miami, 1301 Memorial Drive, Coral Gables, FL 33146, United States 8 2. University of California - Davis, One Shields Ave, Davis, CA 95616, United States 9 10 Corresponding Author: Alexandria N. Igwe, [email protected] 11 12 Keywords: serpentine; plant-microbe interaction; rhizosphere; plant development; Plantago 13 erecta 14 15 16 1 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.29.437500; this version posted March 29, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 17 ABSTRACT 18 Serpentine soils are drought-prone and rich in heavy metals, and plants growing on serpentine 19 soils host distinct microbial communities that may affect plant survival and phenotype. However, 20 whether the rhizosphere communities of plants from different soil chemistries are initially 21 distinct or diverge over time may help us understand drivers of microbial community structure 22 and function in stressful soils. -
Diversity of Biodeteriorative Bacterial and Fungal Consortia in Winter and Summer on Historical Sandstone of the Northern Pergol
applied sciences Article Diversity of Biodeteriorative Bacterial and Fungal Consortia in Winter and Summer on Historical Sandstone of the Northern Pergola, Museum of King John III’s Palace at Wilanow, Poland Magdalena Dyda 1,2,* , Agnieszka Laudy 3, Przemyslaw Decewicz 4 , Krzysztof Romaniuk 4, Martyna Ciezkowska 4, Anna Szajewska 5 , Danuta Solecka 6, Lukasz Dziewit 4 , Lukasz Drewniak 4 and Aleksandra Skłodowska 1 1 Department of Geomicrobiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] 2 Research and Development for Life Sciences Ltd. (RDLS Ltd.), Miecznikowa 1/5a, 02-096 Warsaw, Poland 3 Laboratory of Environmental Analysis, Museum of King John III’s Palace at Wilanow, Stanislawa Kostki Potockiego 10/16, 02-958 Warsaw, Poland; [email protected] 4 Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] (P.D.); [email protected] (K.R.); [email protected] (M.C.); [email protected] (L.D.); [email protected] (L.D.) 5 The Main School of Fire Service, Slowackiego 52/54, 01-629 Warsaw, Poland; [email protected] 6 Department of Plant Molecular Ecophysiology, Institute of Experimental Plant Biology and Biotechnology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +48-786-28-44-96 Citation: Dyda, M.; Laudy, A.; Abstract: The aim of the presented investigation was to describe seasonal changes of microbial com- Decewicz, P.; Romaniuk, K.; munity composition in situ in different biocenoses on historical sandstone of the Northern Pergola in Ciezkowska, M.; Szajewska, A.; the Museum of King John III’s Palace at Wilanow (Poland). -
Microbial Diversity of Drilling Fluids from 3000 M Deep Koyna Pilot
Science Reports Sci. Dril., 27, 1–23, 2020 https://doi.org/10.5194/sd-27-1-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Microbial diversity of drilling fluids from 3000 m deep Koyna pilot borehole provides insights into the deep biosphere of continental earth crust Himadri Bose1, Avishek Dutta1, Ajoy Roy2, Abhishek Gupta1, Sourav Mukhopadhyay1, Balaram Mohapatra1, Jayeeta Sarkar1, Sukanta Roy3, Sufia K. Kazy2, and Pinaki Sar1 1Environmental Microbiology and Genomics Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India 2Department of Biotechnology, National Institute of Technology Durgapur, Durgapur, 713209, West Bengal, India 3Ministry of Earth Sciences, Borehole Geophysics Research Laboratory, Karad, 415114, Maharashtra, India Correspondence: Pinaki Sar ([email protected], [email protected]) Received: 24 June 2019 – Revised: 25 September 2019 – Accepted: 16 December 2019 – Published: 27 May 2020 Abstract. Scientific deep drilling of the Koyna pilot borehole into the continental crust up to a depth of 3000 m below the surface at the Deccan Traps, India, provided a unique opportunity to explore microbial life within the deep granitic bedrock of the Archaean Eon. Microbial communities of the returned drilling fluid (fluid re- turned to the mud tank from the underground during the drilling operation; designated here as DF) sampled during the drilling operation of the Koyna pilot borehole at a depth range of 1681–2908 metres below the surface (m b.s.) were explored to gain a glimpse of the deep biosphere underneath the continental crust. Change of pH 2− to alkalinity, reduced abundance of Si and Al, but enrichment of Fe, Ca and SO4 in the samples from deeper horizons suggested a gradual infusion of elements or ions from the crystalline bedrock, leading to an observed geochemical shift in the DF. -
Correlation of the Lung Microbiota with Metabolic Profiles in Bronchoalveolar Lavage Fluid in HIV Infection Sushma K
Cribbs et al. Microbiome (2016) 4:3 DOI 10.1186/s40168-016-0147-4 RESEARCH Open Access Correlation of the lung microbiota with metabolic profiles in bronchoalveolar lavage fluid in HIV infection Sushma K. Cribbs1,2*, Karan Uppal2, Shuzhao Li2, Dean P. Jones2, Laurence Huang3, Laura Tipton4,5, Adam Fitch6, Ruth M. Greenblatt7, Lawrence Kingsley8, David M. Guidot1,2, Elodie Ghedin5 and Alison Morris6 Abstract Background: While 16S ribosomal RNA (rRNA) sequencing has been used to characterize the lung’s bacterial microbiota in human immunodeficiency virus (HIV)-infected individuals, taxonomic studies provide limited information on bacterial function and impact on the host. Metabolic profiles can provide functional information on host-microbe interactions in the lungs. We investigated the relationship between the respiratory microbiota and metabolic profiles in the bronchoalveolar lavage fluid of HIV-infected and HIV-uninfected outpatients. Results: Targeted sequencing of the 16S rRNA gene was used to analyze the bacterial community structure and liquid chromatography-high-resolution mass spectrometry was used to detect features in bronchoalveolar lavage fluid. Global integration of all metabolic features with microbial species was done using sparse partial least squares regression. Thirty-nine HIV-infected subjects and 20 HIV-uninfected controls without acute respiratory symptoms were enrolled. Twelve mass-to-charge ratio (m/z) features from C18 analysis were significantly different between HIV-infected individuals and controls (false discovery rate (FDR) = 0.2); another 79 features were identified by network analysis. Further metabolite analysis demonstrated that four features were significantly overrepresented in the bronchoalveolar lavage (BAL) fluid of HIV-infected individuals compared to HIV-uninfected, including cystine, two complex carbohydrates, and 3,5-dibromo-L-tyrosine. -
Phylogenetic Conservation of Bacterial Responses to Soil Nitrogen Addition Across Continents
ARTICLE https://doi.org/10.1038/s41467-019-10390-y OPEN Phylogenetic conservation of bacterial responses to soil nitrogen addition across continents Kazuo Isobe1,2, Steven D. Allison 1,3, Banafshe Khalili1, Adam C. Martiny 1,3 & Jennifer B.H. Martiny1 Soil microbial communities are intricately linked to ecosystem functioning such as nutrient cycling; therefore, a predictive understanding of how these communities respond to envir- onmental changes is of great interest. Here, we test whether phylogenetic information can 1234567890():,; predict the response of bacterial taxa to nitrogen (N) addition. We analyze the composition of soil bacterial communities in 13 field experiments across 5 continents and find that the N response of bacteria is phylogenetically conserved at each location. Remarkably, the phylo- genetic pattern of N responses is similar when merging data across locations. Thus, we can identify bacterial clades – the size of which are highly variable across the bacterial tree – that respond consistently to N addition across locations. Our findings suggest that a phylogenetic approach may be useful in predicting shifts in microbial community composition in the face of other environmental changes. 1 Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA. 2 Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan. 3 Department of Earth System Science, University of California, Irvine, CA 92697, USA. Correspondence and requests for materials should be addressed to K.I. (email: [email protected]) or to J.B.H.M. (email: [email protected]) NATURE COMMUNICATIONS | (2019) 10:2499 | https://doi.org/10.1038/s41467-019-10390-y | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-10390-y t is well established that environmental changes such as soil up the signal of vertical inherence and result in a random dis- warming and nutrient addition alter the composition of bac- tribution of response across the phylogeny6. -
Prokaryotic Gene Start Prediction: Algorithms for Genomes and Metagenomes
PROKARYOTIC GENE START PREDICTION: ALGORITHMS FOR GENOMES AND METAGENOMES A Dissertation Presented to The Academic Faculty By Karl Gemayel In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the School of Computational Science and Engineering Georgia Institute of Technology December 2020 © Karl Gemayel 2020 PROKARYOTIC GENE START PREDICTION: ALGORITHMS FOR GENOMES AND METAGENOMES Thesis committee: Dr. Mark Borodovsky Dr. Polo Chau School of Computational Science and En- School of Computational Science and En- gineering and Department of Biomedical gineering Engineering Georgia Institute of Technology Georgia Institute of Technology Dr. Umit¨ C¸atalyurek¨ Dr. King Jordan School of Computational Science and En- School of Biological Sciences gineering Georgia Institute of Technology Georgia Institute of Technology Dr. Pen Qui Department of Biomedical Engineering Georgia Institute of Technology Date approved: October 31, 2020 Wooster: “There are moments, Jeeves, when one asks oneself, ‘Do trousers matter?’” Jeeves: “The mood will pass, sir.” P.G. Wodehouse, The Code Of The Woosters To Mom and Dad, all my ancestors, and the first self-replicating molecule. Without you, this work would literally not have been possible. ACKNOWLEDGMENTS I am bound to forget someone or something and so, in fairness to all, I will forget most things and keep this vague and terse, though not necessarily short. I was very much at the right place at the right time to do this work, a time where these problems had not yet been solved. To the driven students who graduated early enough before such ideas came to them, thank you for being considerate. To my advisor Mark Borodovsky, who insisted that a lack of community funding for prokaryotic gene finding does not mean that the problem has actually been solved, thank you for continuously pushing for rigorous science that questions accepted beliefs. -
Metabolic Flexibility of Enigmatic SAR324 Revealed Through
bs_bs_banner Environmental Microbiology (2014) 16(1), 304–317 doi:10.1111/1462-2920.12165 Metabolic flexibility of enigmatic SAR324 revealed through metagenomics and metatranscriptomics Cody S. Sheik,1 Sunit Jain1 and Gregory J. Dick1,2,3* deep ocean (ArÍstegui et al., 2009) is thought to constrain 1Department of Earth and Environmental Sciences and heterotrophic microbial activity. However, recent identifi- 2Center for Computational Medicine and Bioinformatics cation of carbon fixation genes in the dark ocean (> 200 m and 3Department of Ecology and Evolutionary Biology, below surface) (Swan et al., 2011) underscores auto- University of Michigan, Ann Arbor, MI 48109, USA. trophy as a metabolic strategy for many dark ocean- associated micro-organisms (Karl et al., 1984). Because autotrophy is energetically taxing (Hügler and Sievert, Summary 2011), organisms must couple carbon fixation to an Chemolithotrophy is a pervasive metabolic lifestyle electron-donating reaction such as the oxidation of for microorganisms in the dark ocean. The SAR324 ammonia, nitrite, sulfur, iron, methane, hydrogen or group of Deltaproteobacteria is ubiquitous in the formate. Yet such electron donors required to power ocean and has been implicated in sulfur oxidation and carbon fixation in the deep ocean are scarce (Reinthaler carbon fixation, but also contains genomic signatures and Van, 2010), suggesting that mixotrophy (Sorokin, of C1 utilization and heterotrophy. Here, we recon- 2003; Moran et al., 2004; Dick et al., 2008) may be nec- structed the metagenome and metatranscriptome of a essary for micro-organisms to persist until preferred population of SAR324 from a hydrothermal plume and energy sources are encountered. surrounding waters in the deep Gulf of California to Within the deep ocean, hydrothermal vents are crucial gain insight into the genetic capability and transcrip- sources of reduced compounds such as sulfur, ammonia, tional dynamics of this enigmatic group. -
A Meta-Analysis of the Publicly Available Bacterial and Archaeal Sequence Diversity in Saline Soils
World J Microbiol Biotechnol (2013) 29:2325–2334 DOI 10.1007/s11274-013-1399-9 ORIGINAL PAPER A meta-analysis of the publicly available bacterial and archaeal sequence diversity in saline soils Bin Ma • Jun Gong Received: 19 April 2013 / Accepted: 3 June 2013 / Published online: 12 June 2013 Ó Springer Science+Business Media Dordrecht 2013 Abstract An integrated view of bacterial and archaeal Halorubrum and Thermofilum were the dominant archaeal diversity in saline soil habitats is essential for understanding genera in saline soils. Rarefaction analysis indicated that less the biological and ecological processes and exploiting than 25 % of bacterial diversity, and approximately 50 % of potential of microbial resources from such environments. archaeal diversity, in saline soil habitats has been sampled. This study examined the collective bacterial and archaeal This analysis of the global bacterial and archaeal diversity in diversity in saline soils using a meta-analysis approach. All saline soil habitats can guide future studies to further available 16S rDNA sequences recovered from saline soils examine the microbial diversity of saline soils. were retrieved from publicly available databases and sub- jected to phylogenetic and statistical analyses. A total of Keywords Archaea Á Bacteria Á Halophilic Á Microbial 9,043 bacterial and 1,039 archaeal sequences, each longer diversity Á Saline soil than 250 bp, were examined. The bacterial sequences were assigned into 5,784 operational taxonomic units (OTUs, based on C97 % sequence identity), representing 24 known Introduction bacterial phyla, with Proteobacteria (44.9 %), Actinobacte- ria (12.3 %), Firmicutes (10.4 %), Acidobacteria (9.0 %), Saline soils are increasingly abundant as a consequence of Bacteroidetes (6.8 %), and Chloroflexi (5.9 %) being pre- irrigation and desertification processes (Rengasamy 2006). -
Supplementary Information the Biodiversity and Geochemistry Of
Supplementary Information The Biodiversity and Geochemistry of Cryoconite Holes in Queen Maud Land, East Antarctica Figure S1. Principal component analysis of the bacterial OTUs. Samples cluster according to habitats. Figure S2. Principal component analysis of the eukaryotic OTUs. Samples cluster according to habitats. Figure S3. Principal component analysis of selected trace elements that cause the separation (primarily Zr, Ba and Sr). Figure S4. Partial canonical correspondence analysis of the bacterial abundances and all non-collinear environmental variables (i.e., after identification and exclusion of redundant predictor variables) and without spatial effects. Samples from Lake 3 in Utsteinen clustered with higher nitrate concentration and samples from Dubois with a higher TC abundance. Otherwise no clear trends could be observed. Table S1. Number of sequences before and after quality control for bacterial and eukaryotic sequences, respectively. 16S 18S Sample ID Before quality After quality Before quality After quality filtering filtering filtering filtering PES17_36 79285 71418 112519 112201 PES17_38 115832 111434 44238 44166 PES17_39 128336 123761 31865 31789 PES17_40 107580 104609 27128 27074 PES17_42 225182 218495 103515 103323 PES17_43 219156 213095 67378 67199 PES17_47 82531 79949 60130 59998 PES17_48 123666 120275 64459 64306 PES17_49 163446 158674 126366 126115 PES17_50 107304 104667 158362 158063 PES17_51 95033 93296 - - PES17_52 113682 110463 119486 119205 PES17_53 126238 122760 72656 72461 PES17_54 120805 117807 181725 181281 PES17_55 112134 108809 146821 146408 PES17_56 193142 187986 154063 153724 PES17_59 226518 220298 32560 32444 PES17_60 186567 182136 213031 212325 PES17_61 143702 140104 155784 155222 PES17_62 104661 102291 - - PES17_63 114068 111261 101205 100998 PES17_64 101054 98423 70930 70674 PES17_65 117504 113810 192746 192282 Total 3107426 3015821 2236967 2231258 Table S2. -
Soil Ph Is the Primary Factor Driving the Distribution and Function of Microorganisms in Farmland Soils in Northeastern China
Annals of Microbiology (2019) 69:1461–1473 https://doi.org/10.1007/s13213-019-01529-9 ORIGINAL ARTICLE Soil pH is the primary factor driving the distribution and function of microorganisms in farmland soils in northeastern China Cheng-yu Wang1 & Xue Zhou1 & Dan Guo1 & Jiang-hua Zhao1 & Li Yan1 & Guo-zhong Feng1 & Qiang Gao1 & Han Yu2 & Lan-po Zhao1 Received: 26 May 2019 /Accepted: 3 November 2019 /Published online: 19 December 2019 # The Author(s) 2019 Abstract Purpose To understand which environmental factors influence the distribution and ecological functions of bacteria in agricultural soil. Method A broad range of farmland soils was sampled from 206 locations in Jilin province, China. We used 16S rRNA gene- based Illumina HiSeq sequencing to estimated soil bacterial community structure and functions. Result The dominant taxa in terms of abundance were found to be, Actinobacteria, Acidobacteria, Gemmatimonadetes, Chloroflexi, and Proteobacteria. Bacterial communities were dominantly affected by soil pH, whereas soil organic carbon did not have a significant influence on bacterial communities. Soil pH was significantly positively correlated with bacterial opera- tional taxonomic unit abundance and soil bacterial α-diversity (P<0.05) spatially rather than with soil nutrients. Bacterial functions were estimated using FAPROTAX, and the relative abundance of anaerobic and aerobic chemoheterotrophs, and nitrifying bacteria was 27.66%, 26.14%, and 6.87%, respectively, of the total bacterial community. Generally, the results indicate that soil pH is more important than nutrients in shaping bacterial communities in agricultural soils, including their ecological functions and biogeographic distribution. Keywords Agricultural soil . Soil bacterial community . Bacterial diversity . Bacterial biogeographic distribution . -
Cohabiting Family Members Share Microbiota with One Another And
RESEARCH ARTICLE elife.elifesciences.org Cohabiting family members share microbiota with one another and with their dogs Se Jin Song1, Christian Lauber2, Elizabeth K Costello3, Catherine A Lozupone4†b, Gregory Humphrey2, Donna Berg-Lyons2, J Gregory Caporaso5,6, Dan Knights7,8, Jose C Clemente4†a, Sara Nakielny9, Jeffrey I Gordon10, Noah Fierer1,2, Rob Knight11,12* 1Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Boulder, United States; 2Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Boulder, United States; 3Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, United States; 4Department of Chemistry and Biochemistry, University of Colorado, Boulder, Boulder, United States; 5Department of Computer Science, Northern Arizona University, Flagstaff, United States; 6Argonne National Laboratory, Institute for Genomics and Systems Biology, Argonne, United States; 7Department of Computer Science and Engineering, University of Minnesota, Minneapolis, United States; 8BioTechnology Institute, University of Minnesota, Saint Paul, United *For correspondence: States; 9Department of Biochemistry and Biophysics, Howard Hughes Medical [email protected] Institute, University of California, San Francisco, San Francisco, United States; †Present address: aMount Sinai 10Center for Genome Sciences and Systems Biology, Washington University School School of Medicine, New York, of Medicine, St. Louis, United States; 11Department of Chemistry