The Gut and Blood Microbiome in Iga Nephropathy and Healthy Controls
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The 2014 Golden Gate National Parks Bioblitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event
National Park Service U.S. Department of the Interior Natural Resource Stewardship and Science The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 ON THIS PAGE Photograph of BioBlitz participants conducting data entry into iNaturalist. Photograph courtesy of the National Park Service. ON THE COVER Photograph of BioBlitz participants collecting aquatic species data in the Presidio of San Francisco. Photograph courtesy of National Park Service. The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 Elizabeth Edson1, Michelle O’Herron1, Alison Forrestel2, Daniel George3 1Golden Gate Parks Conservancy Building 201 Fort Mason San Francisco, CA 94129 2National Park Service. Golden Gate National Recreation Area Fort Cronkhite, Bldg. 1061 Sausalito, CA 94965 3National Park Service. San Francisco Bay Area Network Inventory & Monitoring Program Manager Fort Cronkhite, Bldg. 1063 Sausalito, CA 94965 March 2016 U.S. Department of the Interior National Park Service Natural Resource Stewardship and Science Fort Collins, Colorado The National Park Service, Natural Resource Stewardship and Science office in Fort Collins, Colorado, publishes a range of reports that address natural resource topics. These reports are of interest and applicability to a broad audience in the National Park Service and others in natural resource management, including scientists, conservation and environmental constituencies, and the public. The Natural Resource Report Series is used to disseminate comprehensive information and analysis about natural resources and related topics concerning lands managed by the National Park Service. -
WO 2015/066625 Al 7 May 2015 (07.05.2015) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2015/066625 Al 7 May 2015 (07.05.2015) P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12Q 1/04 (2006.01) G01N 33/15 (2006.01) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (21) International Application Number: BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, PCT/US2014/06371 1 DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (22) International Filing Date: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, 3 November 20 14 (03 .11.20 14) KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (25) Filing Language: English PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, (26) Publication Language: English SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: 61/898,938 1 November 2013 (01. 11.2013) (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (71) Applicant: WASHINGTON UNIVERSITY [US/US] GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, One Brookings Drive, St. -
Human Gut Microbiome Changes During a 10 Week Randomised
www.nature.com/scientificreports Corrected: Author Correction OPEN Human gut microbiome changes during a 10 week Randomised Control Trial for micronutrient Received: 19 July 2018 Accepted: 20 June 2019 supplementation in children with Published online: 12 July 2019 attention defcit hyperactivity disorder Aaron J. Stevens1, Rachel V. Purcell 2, Kathryn A. Darling3, Matthew J. F. Eggleston4, Martin A. Kennedy 1 & Julia J. Rucklidge3 It has been widely hypothesized that both diet and the microbiome play a role in the regulation of attention-defcit/hyperactivity disorder (ADHD) behaviour. However, there has been very limited scientifc investigation into the potential biological connection. We performed a 10-week pilot study investigating the efects of a broad spectrum micronutrient administration on faecal microbiome content, using 16S rRNA gene sequencing. The study consisted of 17 children (seven in the placebo and ten in the treatment group) between the ages of seven and 12 years, who were diagnosed with ADHD. We found that micronutrient treatment did not drive large-scale changes in composition or structure of the microbiome. However, observed OTUs signifcantly increased in the treatment group, and showed no mean change in the placebo group. The diferential abundance and relative frequency of Actinobacteria signifcantly decreased post- micronutrient treatment, and this was largely attributed to species from the genus Bifdobacterium. This was compensated by an increase in the relative frequency of species from the genus Collinsella. Further research is required to establish the role that Bifdobacterium contribute towards neuropsychiatric disorders; however, these fndings suggest that micronutrient administration could be used as a safe, therapeutic method to modulate Bifdobacterium abundance, which could have potential implications for modulating and regulating ADHD behaviour. -
Title: Gut Microbiome Profiles and Associated Metabolic Pathways in HIV-Infected Treatment-Naïve Patients Wellinton M. Do Nasci
medRxiv preprint doi: https://doi.org/10.1101/2020.12.07.20245530; this version posted December 8, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Title: Gut microbiome profiles and associated metabolic pathways in HIV-infected treatment-naïve patients Wellinton M. do Nascimento1,2, Aline Machiavelli2, Luiz G. E. Ferreira3, Luisa Cruz Silveira1, Suwellen S. D. de Azevedo4, Gonzalo Bello4, Daniel P. Smith5, Melissa P. Mezzari5, Joseph Petrosino5, Rubens Tadeu Delgado Duarte6, Carlos R. Zaráte- Bládes2§*, and Aguinaldo R. Pinto1* 1 Laboratório de Imunologia Aplicada, LIA, Departamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal de Santa Catarina, Campus Universitário da Trindade, Florianópolis, SC, 88034-040, Brazil. 2 Laboratório de Imunoregulação, iREG, Departamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal de Santa Catarina, Campus Universitário da Trindade, Florianópolis, SC, 88034-040, Brazil. 3 Hospital Regional Homero de Miranda Gomes, Rua Adolfo Donato da Silva, s/n, São José, SC, 88103-901, Brazil. 4 Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Av. Brasil, 4365, Rio de Janeiro, RJ, 21045-900, Brazil. 5 Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology & Microbiology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States. 6 Laboratório de Ecologia Molecular e Extremófilos, Departamento de Microbiologia, Imunologia e Parasitologia, Universidade Federal de Santa Catarina, Campus Universitário da Trindade, Florianópolis, SC, 88034-040, Brazil. *contributed equally to this work NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. -
Kaistella Soli Sp. Nov., Isolated from Oil-Contaminated Soil
A001 Kaistella soli sp. nov., Isolated from Oil-contaminated Soil Dhiraj Kumar Chaudhary1, Ram Hari Dahal2, Dong-Uk Kim3, and Yongseok Hong1* 1Department of Environmental Engineering, Korea University Sejong Campus, 2Department of Microbiology, School of Medicine, Kyungpook National University, 3Department of Biological Science, College of Science and Engineering, Sangji University A light yellow-colored, rod-shaped bacterial strain DKR-2T was isolated from oil-contaminated experimental soil. The strain was Gram-stain-negative, catalase and oxidase positive, and grew at temperature 10–35°C, at pH 6.0– 9.0, and at 0–1.5% (w/v) NaCl concentration. The phylogenetic analysis and 16S rRNA gene sequence analysis suggested that the strain DKR-2T was affiliated to the genus Kaistella, with the closest species being Kaistella haifensis H38T (97.6% sequence similarity). The chemotaxonomic profiles revealed the presence of phosphatidylethanolamine as the principal polar lipids;iso-C15:0, antiso-C15:0, and summed feature 9 (iso-C17:1 9c and/or C16:0 10-methyl) as the main fatty acids; and menaquinone-6 as a major menaquinone. The DNA G + C content was 39.5%. In addition, the average nucleotide identity (ANIu) and in silico DNA–DNA hybridization (dDDH) relatedness values between strain DKR-2T and phylogenically closest members were below the threshold values for species delineation. The polyphasic taxonomic features illustrated in this study clearly implied that strain DKR-2T represents a novel species in the genus Kaistella, for which the name Kaistella soli sp. nov. is proposed with the type strain DKR-2T (= KACC 22070T = NBRC 114725T). [This study was supported by Creative Challenge Research Foundation Support Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF- 2020R1I1A1A01071920).] A002 Chitinibacter bivalviorum sp. -
Robust Taxonomic Classification of Uncharted Microbial Sequences and Bins with CAT and BAT
bioRxiv preprint doi: https://doi.org/10.1101/530188; this version posted January 24, 2019. 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 4.0 International license. Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT F.A. Bastiaan von Meijenfeldt1,†, Ksenia Arkhipova1,†, Diego D. Cambuy1, Felipe H. Coutinho2,3, Bas E. Dutilh1,2,* 1 Theoretical Biology and Bioinformatics, Science for Life, Utrecht University, The Netherlands. 2 Centre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, Nijmegen, The Netherlands. 3 Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. * To whom correspondence should be addressed. Tel: +31 30 253 4212; Email: [email protected]. † These authors contributed equally to this work. Present Address: [Felipe H. Couthinho], Evolutionary Genomics Group, Departamento de Produccíon y Microbiología, Universidad Miguel Hernández, Campus San Juan, San Juan, Alicante 03550, Spain. ABSTRACT Current-day metagenomics increasingly requires taxonomic classification of long DNA sequences and metagenome-assembled genomes (MAGs) of unknown microorganisms. We show that the standard best-hit approach often leads to classifications that are too specific. We present tools to classify high- quality metagenomic contigs (Contig Annotation Tool, CAT) and MAGs (Bin Annotation Tool, BAT) and thoroughly benchmark them with simulated metagenomic sequences that are classified against a reference database where related sequences are increasingly removed, thereby simulating increasingly unknown queries. We find that the query sequences are correctly classified at low taxonomic ranks if closely related organisms are present in the reference database, while classifications are made higher in the taxonomy when closely related organisms are absent, thus avoiding spurious classification specificity. -
Corynebacterium Sp.|NML98-0116
1 Limnochorda_pilosa~GCF_001544015.1@NZ_AP014924=Bacteria-Firmicutes-Limnochordia-Limnochordales-Limnochordaceae-Limnochorda-Limnochorda_pilosa 0,9635 Ammonifex_degensii|KC4~GCF_000024605.1@NC_013385=Bacteria-Firmicutes-Clostridia-Thermoanaerobacterales-Thermoanaerobacteraceae-Ammonifex-Ammonifex_degensii 0,985 Symbiobacterium_thermophilum|IAM14863~GCF_000009905.1@NC_006177=Bacteria-Firmicutes-Clostridia-Clostridiales-Symbiobacteriaceae-Symbiobacterium-Symbiobacterium_thermophilum Varibaculum_timonense~GCF_900169515.1@NZ_LT827020=Bacteria-Actinobacteria-Actinobacteria-Actinomycetales-Actinomycetaceae-Varibaculum-Varibaculum_timonense 1 Rubrobacter_aplysinae~GCF_001029505.1@NZ_LEKH01000003=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_aplysinae 0,975 Rubrobacter_xylanophilus|DSM9941~GCF_000014185.1@NC_008148=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_xylanophilus 1 Rubrobacter_radiotolerans~GCF_000661895.1@NZ_CP007514=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_radiotolerans Actinobacteria_bacterium_rbg_16_64_13~GCA_001768675.1@MELN01000053=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_rbg_16_64_13 1 Actinobacteria_bacterium_13_2_20cm_68_14~GCA_001914705.1@MNDB01000040=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_13_2_20cm_68_14 1 0,9803 Thermoleophilum_album~GCF_900108055.1@NZ_FNWJ01000001=Bacteria-Actinobacteria-Thermoleophilia-Thermoleophilales-Thermoleophilaceae-Thermoleophilum-Thermoleophilum_album -
Downloaded 13 April 2017); Using Diamond
bioRxiv preprint doi: https://doi.org/10.1101/347021; this version posted June 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 2 3 4 5 Re-evaluating the salty divide: phylogenetic specificity of 6 transitions between marine and freshwater systems 7 8 9 10 Sara F. Pavera, Daniel J. Muratorea, Ryan J. Newtonb, Maureen L. Colemana# 11 a 12 Department of the Geophysical Sciences, University of Chicago, Chicago, Illinois, USA 13 b School of Freshwater Sciences, University of Wisconsin Milwaukee, Milwaukee, Wisconsin, USA 14 15 Running title: Marine-freshwater phylogenetic specificity 16 17 #Address correspondence to Maureen Coleman, [email protected] 18 bioRxiv preprint doi: https://doi.org/10.1101/347021; this version posted June 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 19 Abstract 20 Marine and freshwater microbial communities are phylogenetically distinct and transitions 21 between habitat types are thought to be infrequent. We compared the phylogenetic diversity of 22 marine and freshwater microorganisms and identified specific lineages exhibiting notably high or 23 low similarity between marine and freshwater ecosystems using a meta-analysis of 16S rRNA 24 gene tag-sequencing datasets. As expected, marine and freshwater microbial communities 25 differed in the relative abundance of major phyla and contained habitat-specific lineages; at the 26 same time, however, many shared taxa were observed in both environments. 27 Betaproteobacteria and Alphaproteobacteria sequences had the highest similarity between 28 marine and freshwater sample pairs. -
WO 2018/064165 A2 (.Pdf)
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2018/064165 A2 05 April 2018 (05.04.2018) W !P O PCT (51) International Patent Classification: Published: A61K 35/74 (20 15.0 1) C12N 1/21 (2006 .01) — without international search report and to be republished (21) International Application Number: upon receipt of that report (Rule 48.2(g)) PCT/US2017/053717 — with sequence listing part of description (Rule 5.2(a)) (22) International Filing Date: 27 September 2017 (27.09.2017) (25) Filing Language: English (26) Publication Langi English (30) Priority Data: 62/400,372 27 September 2016 (27.09.2016) US 62/508,885 19 May 2017 (19.05.2017) US 62/557,566 12 September 2017 (12.09.2017) US (71) Applicant: BOARD OF REGENTS, THE UNIVERSI¬ TY OF TEXAS SYSTEM [US/US]; 210 West 7th St., Austin, TX 78701 (US). (72) Inventors: WARGO, Jennifer; 1814 Bissonnet St., Hous ton, TX 77005 (US). GOPALAKRISHNAN, Vanch- eswaran; 7900 Cambridge, Apt. 10-lb, Houston, TX 77054 (US). (74) Agent: BYRD, Marshall, P.; Parker Highlander PLLC, 1120 S. Capital Of Texas Highway, Bldg. One, Suite 200, Austin, TX 78746 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Distinct Signatures of Gut Microbiome and Metabolites Associated with Significant Fibrosis in Non-Obese NAFLD
ARTICLE https://doi.org/10.1038/s41467-020-18754-5 OPEN Distinct signatures of gut microbiome and metabolites associated with significant fibrosis in non-obese NAFLD Giljae Lee 1,10, Hyun Ju You1,2,3,10, Jasmohan S. Bajaj 4, Sae Kyung Joo5, Junsun Yu1, Seoyeon Park1, ✉ Hyena Kang1, Jeong Hwan Park6, Jung Ho Kim6, Dong Hyeon Lee 5, Seonhwa Lee7, Won Kim 5 & ✉ GwangPyo Ko 1,3,8,9 1234567890():,; Nonalcoholic fatty liver disease (NAFLD) is associated with obesity but also found in non- obese individuals. Gut microbiome profiles of 171 Asians with biopsy-proven NAFLD and 31 non-NAFLD controls are analyzed using 16S rRNA sequencing; an independent Western cohort is used for external validation. Subjects are classified into three subgroups according to histological spectra of NAFLD or fibrosis severity. Significant alterations in microbiome diversity are observed according to fibrosis severity in non-obese, but not obese, subjects. Ruminococcaceae and Veillonellaceae are the main microbiota associated with fibrosis severity in non-obese subjects. Furthermore, stool bile acids and propionate are elevated, especially in non-obese subjects with significant fibrosis. Fibrosis-related Ruminococcaceae and Veillo- nellaceae species undergo metagenome sequencing, and four representative species are administered in three mouse NAFLD models to evaluate their effects on liver damage. This study provides the evidence for the role of the microbiome in the liver fibrosis pathogenesis, especially in non-obese subjects. 1 Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea. 2 Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea. -
Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae -
Extensive Microbial Diversity Within the Chicken Gut Microbiome Revealed by Metagenomics and Culture
Extensive microbial diversity within the chicken gut microbiome revealed by metagenomics and culture Rachel Gilroy1, Anuradha Ravi1, Maria Getino2, Isabella Pursley2, Daniel L. Horton2, Nabil-Fareed Alikhan1, Dave Baker1, Karim Gharbi3, Neil Hall3,4, Mick Watson5, Evelien M. Adriaenssens1, Ebenezer Foster-Nyarko1, Sheikh Jarju6, Arss Secka7, Martin Antonio6, Aharon Oren8, Roy R. Chaudhuri9, Roberto La Ragione2, Falk Hildebrand1,3 and Mark J. Pallen1,2,4 1 Quadram Institute Bioscience, Norwich, UK 2 School of Veterinary Medicine, University of Surrey, Guildford, UK 3 Earlham Institute, Norwich Research Park, Norwich, UK 4 University of East Anglia, Norwich, UK 5 Roslin Institute, University of Edinburgh, Edinburgh, UK 6 Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Banjul, The Gambia 7 West Africa Livestock Innovation Centre, Banjul, The Gambia 8 Department of Plant and Environmental Sciences, The Alexander Silberman Institute of Life Sciences, Edmond J. Safra Campus, Hebrew University of Jerusalem, Jerusalem, Israel 9 Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, UK ABSTRACT Background: The chicken is the most abundant food animal in the world. However, despite its importance, the chicken gut microbiome remains largely undefined. Here, we exploit culture-independent and culture-dependent approaches to reveal extensive taxonomic diversity within this complex microbial community. Results: We performed metagenomic sequencing of fifty chicken faecal samples from Submitted 4 December 2020 two breeds and analysed these, alongside all (n = 582) relevant publicly available Accepted 22 January 2021 chicken metagenomes, to cluster over 20 million non-redundant genes and to Published 6 April 2021 construct over 5,500 metagenome-assembled bacterial genomes.