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Eme L, Tamarit D, Caceres EF, Stairs CW, De Anda V, Schön ME, Seitz KW, Dombrowski N, Lewis WH, Homa F, Saw JH, Lombard J, Nunoura T, Li WJ, Hua ZS, Chen LX, Banfield JF, John ES, Reysenbach AL, Stott MB, Schramm A, Kjeldsen KU, Teske AP, Baker BJ, Ettema TJG. Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes. Nature 2023; 618:992-999. [PMID: 37316666 PMCID: PMC10307638 DOI: 10.1038/s41586-023-06186-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 05/10/2023] [Indexed: 06/16/2023]
Abstract
In the ongoing debates about eukaryogenesis-the series of evolutionary events leading to the emergence of the eukaryotic cell from prokaryotic ancestors-members of the Asgard archaea play a key part as the closest archaeal relatives of eukaryotes1. However, the nature and phylogenetic identity of the last common ancestor of Asgard archaea and eukaryotes remain unresolved2-4. Here we analyse distinct phylogenetic marker datasets of an expanded genomic sampling of Asgard archaea and evaluate competing evolutionary scenarios using state-of-the-art phylogenomic approaches. We find that eukaryotes are placed, with high confidence, as a well-nested clade within Asgard archaea and as a sister lineage to Hodarchaeales, a newly proposed order within Heimdallarchaeia. Using sophisticated gene tree and species tree reconciliation approaches, we show that analogous to the evolution of eukaryotic genomes, genome evolution in Asgard archaea involved significantly more gene duplication and fewer gene loss events compared with other archaea. Finally, we infer that the last common ancestor of Asgard archaea was probably a thermophilic chemolithotroph and that the lineage from which eukaryotes evolved adapted to mesophilic conditions and acquired the genetic potential to support a heterotrophic lifestyle. Our work provides key insights into the prokaryote-to-eukaryote transition and a platform for better understanding the emergence of cellular complexity in eukaryotic cells.
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Affiliation(s)
- Laura Eme
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Laboratoire Écologie, Systématique, Évolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif-sur-Yvette, France
| | - Daniel Tamarit
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Theoretical Biology and Bioinformatics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Eva F Caceres
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
| | - Courtney W Stairs
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Biology, Lund University, Lund, Sweden
| | - Valerie De Anda
- Department of Marine Science, Marine Science Institute, University of Texas Austin, Port Aransas, TX, USA
- Department of Integrative Biology, University of Texas Austin, Austin, TX, USA
| | - Max E Schön
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Kiley W Seitz
- Department of Marine Science, Marine Science Institute, University of Texas Austin, Port Aransas, TX, USA
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Nina Dombrowski
- Department of Marine Science, Marine Science Institute, University of Texas Austin, Port Aransas, TX, USA
- Department of Marine Microbiology and Biogeochemistry, NIOZ, Royal Netherlands Institute for Sea Research, AB Den Burg, The Netherlands
| | - William H Lewis
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Felix Homa
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
| | - Jimmy H Saw
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Biological Sciences, The George Washington University, Washington, DC, USA
| | - Jonathan Lombard
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Takuro Nunoura
- Research Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Wen-Jun Li
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, PR China
| | - Zheng-Shuang Hua
- Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, PR China
| | - Lin-Xing Chen
- Department of Earth and Planetary Sciences, University of California, Berkeley, CA, USA
| | - Jillian F Banfield
- Department of Earth and Planetary Sciences, University of California, Berkeley, CA, USA
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA
| | - Emily St John
- Department of Biology, Portland State University, Portland, OR, USA
| | | | - Matthew B Stott
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Andreas Schramm
- Section for Microbiology, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Kasper U Kjeldsen
- Section for Microbiology, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Andreas P Teske
- Department of Earth, Marine and Environmental Sciences, University of North Carolina, Chapel Hill, NC, USA
| | - Brett J Baker
- Department of Marine Science, Marine Science Institute, University of Texas Austin, Port Aransas, TX, USA
- Department of Integrative Biology, University of Texas Austin, Austin, TX, USA
| | - Thijs J G Ettema
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands.
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Gaietta G, Swift MF, Volkmann N, Hanein D. Rapid tool for cell nanoarchitecture integrity assessment. J Struct Biol 2021; 213:107801. [PMID: 34582983 PMCID: PMC8665072 DOI: 10.1016/j.jsb.2021.107801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/12/2021] [Accepted: 09/21/2021] [Indexed: 12/13/2022]
Abstract
With the rapid increase and accessibility of high-resolution imaging technologies of cells, the interpretation of results relies more and more on the assumption that the three-dimensional integrity of the surrounding cellular landscape is not compromised by the experimental setup. However, the only available technology for directly probing the structural integrity of whole-cell preparations at the nanoscale is electron cryo-tomography, which is time-consuming, costly, and complex. We devised an accessible, inexpensive and reliable screening assay to quickly report on the compatibility of experimental protocols with preserving the structural integrity of whole-cell preparations at the nanoscale. Our Rapid Cell Integrity Assessment (RCIA) assay is executed at room temperature and relies solely on light microscopy imaging. Using cellular electron cryo-tomography as a benchmark, we verify that RCIA accurately unveils the adverse impact of reagents and/or protocols such as those used for virus inactivation or to arrest dynamic processes on the cellular nanoarchitecture.
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Affiliation(s)
| | | | - Niels Volkmann
- Scintillon Institute, San Diego CA 92123, USA; Institut Pasteur, Université de Paris, CNRS UMR3528, Structural Image Analysis Unit, F-75015 Paris, France
| | - Dorit Hanein
- Scintillon Institute, San Diego CA 92123, USA; Institut Pasteur, CNRS UMR3528, Structural Studies of Macromolecular Machines in Cellulo Unit, F-75015 Paris, France.
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Morrow A, Hughes J, Singh J, Joseph A, Yosef N. Epitome: predicting epigenetic events in novel cell types with multi-cell deep ensemble learning. Nucleic Acids Res 2021; 49:e110. [PMID: 34379786 PMCID: PMC8565335 DOI: 10.1093/nar/gkab676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 07/19/2021] [Accepted: 07/25/2021] [Indexed: 01/04/2023] Open
Abstract
The accumulation of large epigenomics data consortiums provides us with the opportunity to extrapolate existing knowledge to new cell types and conditions. We propose Epitome, a deep neural network that learns similarities of chromatin accessibility between well characterized reference cell types and a query cellular context, and copies over signal of transcription factor binding and modification of histones from reference cell types when chromatin profiles are similar to the query. Epitome achieves state-of-the-art accuracy when predicting transcription factor binding sites on novel cellular contexts and can further improve predictions as more epigenetic signals are collected from both reference cell types and the query cellular context of interest.
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Affiliation(s)
- Alyssa Kramer Morrow
- Electrical Engineering and Computer Science Department, University of California-Berkeley 465 Soda Hall, Berkeley, CA 94720-1776, USA
| | - John Weston Hughes
- Electrical Engineering and Computer Science Department, University of California-Berkeley 465 Soda Hall, Berkeley, CA 94720-1776, USA
- Computer Science Department, Stanford University, 353 Serra Mall, Stanford, CA 94305, USA
| | - Jahnavi Singh
- Electrical Engineering and Computer Science Department, University of California-Berkeley 465 Soda Hall, Berkeley, CA 94720-1776, USA
| | - Anthony Douglas Joseph
- Electrical Engineering and Computer Science Department, University of California-Berkeley 465 Soda Hall, Berkeley, CA 94720-1776, USA
- Center for Computational Biology, University of California-Berkeley 108 Stanley Hall, Berkeley, CA 94720-3220, USA
- Unite Genomics, Inc., 1301 Marina Village Pkwy, Suite 320, Alameda, CA 94501, USA
| | - Nir Yosef
- Electrical Engineering and Computer Science Department, University of California-Berkeley 465 Soda Hall, Berkeley, CA 94720-1776, USA
- Center for Computational Biology, University of California-Berkeley 108 Stanley Hall, Berkeley, CA 94720-3220, USA
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Boston, MA, 02139, USA
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
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Wang S, Pisco AO, McGeever A, Brbic M, Zitnik M, Darmanis S, Leskovec J, Karkanias J, Altman RB. Leveraging the Cell Ontology to classify unseen cell types. Nat Commun 2021; 12:5556. [PMID: 34548483 PMCID: PMC8455606 DOI: 10.1038/s41467-021-25725-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 08/17/2021] [Indexed: 11/09/2022] Open
Abstract
Single cell technologies are rapidly generating large amounts of data that enables us to understand biological systems at single-cell resolution. However, joint analysis of datasets generated by independent labs remains challenging due to a lack of consistent terminology to describe cell types. Here, we present OnClass, an algorithm and accompanying software for automatically classifying cells into cell types that are part of the controlled vocabulary that forms the Cell Ontology. A key advantage of OnClass is its capability to classify cells into cell types not present in the training data because it uses the Cell Ontology graph to infer cell type relationships. Furthermore, OnClass can be used to identify marker genes for all the cell ontology categories, regardless of whether the cell types are present or absent in the training data, suggesting that OnClass goes beyond a simple annotation tool for single cell datasets, being the first algorithm capable to identify marker genes specific to all terms of the Cell Ontology and offering the possibility of refining the Cell Ontology using a data-centric approach.
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Affiliation(s)
- Sheng Wang
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | | | | | - Maria Brbic
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
| | - Marinka Zitnik
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
| | | | - Jure Leskovec
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
| | - Jim Karkanias
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Russ B Altman
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
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5
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Koo N, Shin AY, Oh S, Kim H, Hong S, Park SJ, Sim YM, Byeon I, Kim KY, Lim YP, Kwon SY, Kim YM. Comprehensive analysis of Translationally Controlled Tumor Protein (TCTP) provides insights for lineage-specific evolution and functional divergence. PLoS One 2020; 15:e0232029. [PMID: 32374732 PMCID: PMC7202613 DOI: 10.1371/journal.pone.0232029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 04/06/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Translationally controlled tumor protein (TCTP) is a conserved, multifunctional protein involved in numerous cellular processes in eukaryotes. Although the functions of TCTP have been investigated sporadically in animals, invertebrates, and plants, few lineage-specific activities of this molecule, have been reported. An exception is in Arabidopsis thaliana, in which TCTP (AtTCTP1) functions in stomatal closuer by regulating microtubule stability. Further, although the development of next-generation sequencing technologies has facilitated the analysis of many eukaryotic genomes in public databases, inter-kingdom comparative analyses using available genome information are comparatively scarce. METHODOLOGY To carry out inter-kingdom comparative analysis of TCTP, TCTP genes were identified from 377 species. Then phylogenetic analysis, prediction of protein structure, molecular docking simulation and molecular dynamics analysis were performed to investigate the evolution of TCTP genes and their binding proteins. RESULTS A total of 533 TCTP genes were identified from 377 eukaryotic species, including protozoa, fungi, invertebrates, vertebrates, and plants. Phylogenetic and secondary structure analyses reveal lineage-specific evolution of TCTP, and inter-kingdom comparisons highlight the lineage-specific emergence of, or changes in, secondary structure elements in TCTP proteins from different kingdoms. Furthermore, secondary structure comparisons between TCTP proteins within each kingdom, combined with measurements of the degree of sequence conservation, suggest that TCTP genes have evolved to conserve protein secondary structures in a lineage-specific manner. Additional tertiary structure analysis of TCTP-binding proteins and their interacting partners and docking simulations between these proteins further imply that TCTP gene variation may influence the tertiary structures of TCTP-binding proteins in a lineage-specific manner. CONCLUSIONS Our analysis suggests that TCTP has undergone lineage-specific evolution and that structural changes in TCTP proteins may correlate with the tertiary structure of TCTP-binding proteins and their binding partners in a lineage-specific manner.
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Affiliation(s)
- Namjin Koo
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Ah-Young Shin
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Sangho Oh
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Hyeongmin Kim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- Department of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC, Choongchung-Buk-do, Republic of Korea
| | - Seongmin Hong
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- Molecular Genetics and Genomics Laboratory, Department of Horticulture, College of Agriculture and Life Science, Chungnam National University, Daejeon, Korea
| | - Seong-Jin Park
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Young Mi Sim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Iksu Byeon
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Kye Young Kim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Yong Pyo Lim
- Molecular Genetics and Genomics Laboratory, Department of Horticulture, College of Agriculture and Life Science, Chungnam National University, Daejeon, Korea
| | - Suk-Yoon Kwon
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Yong-Min Kim
- Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
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6
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Zhang Q, Geng Z, Li D, Ding Z. Characterization and discrimination of microbial community and co-occurrence patterns in fresh and strong flavor style flue-cured tobacco leaves. Microbiologyopen 2020; 9:e965. [PMID: 31808296 PMCID: PMC7002102 DOI: 10.1002/mbo3.965] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 10/22/2019] [Accepted: 10/28/2019] [Indexed: 11/24/2022] Open
Abstract
Fermentation, also known as aging, is vital for enhancing the quality of flue-cured tobacco leaves (FTLs). Aged FTLs demonstrate high-quality sensory characteristics, while unaged FTLs do not. Microbes play important roles in the FTL fermentation process. However, the eukaryotic microbial community diversity is poorly understood, as are microbial associations within FTLs. We aimed to characterize and compare the microbiota associated with two important categories, fresh and strong flavor style FTLs, and to reveal correlations between the microbial taxa within them. Based on 16S and 18S rRNA Illumina MiSeq sequencing, the community richness and diversity of prokaryotes were almost as high as that of eukaryotes. The dominant microbes of FTLs belonged to seven genera, including Pseudomonas, Bacillus, Methylobacterium, Acinetobacter, Sphingomonas, Neophaeosphaeria, and Cladosporium, of the Proteobacteria, Firmicutes, and Ascomycota phyla. According to partial least square discriminant analysis (PLS-DA), Xanthomonas, Franconibacter, Massilia, Quadrisphaera, Staphylococcus, Cladosporium, Lodderomyces, Symmetrospora, Golovinomyces, and Dioszegia were significantly positively correlated with fresh flavor style FTLs, while Xenophilus, Fusarium, unclassified Ustilaginaceae, Tilletiopsis, Cryphonectria, Colletotrichum, and Cyanodermella were significantly positively correlated with strong flavor style FTLs. Network analysis identified seven hubs, Aureimonas, Kocuria, Massilia, Brachybacterium, Clostridium, Dietzia, and Vishniacozyma, that may play important roles in FTL ecosystem stability, which may be destroyed by Myrmecridium. FTL microbiota was found to be correlated with flavor style. Species present in lower numbers than the dominant microbes might be used as microbial markers to discriminate different flavor style samples and to stabilize FTL microbial communities. This research advances our understanding of FTL microbiota and describes a means of discriminating between fresh and strong flavor FTLs based on their respective stable microbiota.
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Affiliation(s)
- Qianying Zhang
- Technical Research CenterChina Tobacco Sichuan Industrial Co., Ltd.ChengduChina
- National Engineering Laboratory for Cereal Fermentation TechnologySchool of BiotechnologyJiangnan UniversityWuxiChina
| | - Zongze Geng
- Technical Research CenterChina Tobacco Sichuan Industrial Co., Ltd.ChengduChina
| | - Dongliang Li
- Technical Research CenterChina Tobacco Sichuan Industrial Co., Ltd.ChengduChina
| | - Zhongyang Ding
- National Engineering Laboratory for Cereal Fermentation TechnologySchool of BiotechnologyJiangnan UniversityWuxiChina
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7
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Imachi H, Nobu MK, Nakahara N, Morono Y, Ogawara M, Takaki Y, Takano Y, Uematsu K, Ikuta T, Ito M, Matsui Y, Miyazaki M, Murata K, Saito Y, Sakai S, Song C, Tasumi E, Yamanaka Y, Yamaguchi T, Kamagata Y, Tamaki H, Takai K. Isolation of an archaeon at the prokaryote-eukaryote interface. Nature 2020; 577:519-525. [PMID: 31942073 PMCID: PMC7015854 DOI: 10.1038/s41586-019-1916-6] [Citation(s) in RCA: 313] [Impact Index Per Article: 78.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/05/2019] [Indexed: 12/30/2022]
Abstract
The origin of eukaryotes remains unclear1-4. Current data suggest that eukaryotes may have emerged from an archaeal lineage known as 'Asgard' archaea5,6. Despite the eukaryote-like genomic features that are found in these archaea, the evolutionary transition from archaea to eukaryotes remains unclear, owing to the lack of cultured representatives and corresponding physiological insights. Here we report the decade-long isolation of an Asgard archaeon related to Lokiarchaeota from deep marine sediment. The archaeon-'Candidatus Prometheoarchaeum syntrophicum' strain MK-D1-is an anaerobic, extremely slow-growing, small coccus (around 550 nm in diameter) that degrades amino acids through syntrophy. Although eukaryote-like intracellular complexes have been proposed for Asgard archaea6, the isolate has no visible organelle-like structure. Instead, Ca. P. syntrophicum is morphologically complex and has unique protrusions that are long and often branching. On the basis of the available data obtained from cultivation and genomics, and reasoned interpretations of the existing literature, we propose a hypothetical model for eukaryogenesis, termed the entangle-engulf-endogenize (also known as E3) model.
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Affiliation(s)
- Hiroyuki Imachi
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
| | - Masaru K Nobu
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.
| | - Nozomi Nakahara
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
- Department of Civil and Environmental Engineering, Nagaoka University of Technology, Nagaoka, Japan
| | - Yuki Morono
- Kochi Institute for Core Sample Research, X-star, JAMSTEC, Nankoku, Japan
| | - Miyuki Ogawara
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Yoshihiro Takaki
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Yoshinori Takano
- Biogeochemistry Program, Research Institute for Marine Resources Utilization, JAMSTEC, Yokosuka, Japan
| | - Katsuyuki Uematsu
- Department of Marine and Earth Sciences, Marine Work Japan, Yokosuka, Japan
| | - Tetsuro Ikuta
- Research Institute for Global Change, JAMSTEC, Yokosuka, Japan
| | - Motoo Ito
- Kochi Institute for Core Sample Research, X-star, JAMSTEC, Nankoku, Japan
| | - Yohei Matsui
- Research Institute for Marine Resources Utilization, JAMSTEC, Yokosuka, Japan
| | - Masayuki Miyazaki
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | | | - Yumi Saito
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Sanae Sakai
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Chihong Song
- National Institute for Physiological Sciences, Okazaki, Japan
| | - Eiji Tasumi
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Yuko Yamanaka
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Takashi Yamaguchi
- Department of Civil and Environmental Engineering, Nagaoka University of Technology, Nagaoka, Japan
| | - Yoichi Kamagata
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
| | - Hideyuki Tamaki
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
| | - Ken Takai
- Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
- Section for Exploration of Life in Extreme Environments, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institute of Natural Sciences, Okazaki, Japan
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Pearman JK, Afandi F, Hong P, Carvalho S. Plankton community assessment in anthropogenic-impacted oligotrophic coastal regions. Environ Sci Pollut Res Int 2018; 25:31017-31030. [PMID: 30182317 DOI: 10.1007/s11356-018-3072-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 08/27/2018] [Indexed: 06/08/2023]
Abstract
Microbial planktonic communities are critical components of marine biogeochemical pathways. Despite this, there is still limited knowledge on the dynamics of this group in warm and oligotrophic waters. We used high-throughput sequencing to characterise the bacterial (16S rRNA) and eukaryotic (18S rRNA) microbial plankton communities in two regions under the influence of anthropogenic impacts (a port and sewage outflow) and a coastal region with no direct anthropogenic disturbances in the central Red Sea. Overall, bacterial and eukaryotic components responded in a similar way to the environmental conditions. Community composition and structure were more sensitive than alpha diversity measures to environmental impacts. With the exception of eukaryotes, for which the number of OTU differed significantly between sampling periods in all the regions, environmental changes associated with anthropogenic pressures seem to be better reflected by variations in the relative dominance of microbial groups. For example, elevated proportional abundances of nitrifying and sewage-/faecal-related bacteria at the impacted sites were observed compared with the coastal region. The recently developed microgAMBI also appeared to correlate well with the level of anthropogenic impact the regions experienced, showing the potential to be applied in oligotrophic waters.
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Affiliation(s)
- John K Pearman
- Red Sea Research Center (RSRC), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
| | - Fidan Afandi
- Bioecology Department, Ecology and Soil Science, Baku State University, Academic Zahid Xalilov Street, 23, 1148, Baku, Absheron Economic Region AZ, Azerbaijan
| | - Peiying Hong
- Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Susana Carvalho
- Red Sea Research Center (RSRC), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
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9
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 DOI: 10.1101/121202] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 05/28/2023] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Howard Hughes Medical Institute, Chevy Chase, United States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Department of Systems Biology, Harvard Medical School, Boston, United States
| | - Ido Amit
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, United States
| | - Ewan Birney
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular Biology, University of Cambridge, Cambridge, United Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Ian Dunham
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany
| | - Wolfgang Enard
- Department of Biology II, Ludwig Maximilian University Munich, Martinsried, Germany
| | - Andrew Farmer
- Takara Bio United States, Inc., Mountain View, United States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Berthold Göttgens
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, United States
- Massachusetts General Hospital Cancer Center, Boston, United States
| | - Muzlifah Haniffa
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of Medicine, Stanford University School of Medicine, Stanford, United States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, United States
| | - Ed Lein
- Allen Institute for Brain Science, Seattle, United States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Genetics, Stanford University, Stanford, United States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, United States
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, New York, United States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of Bioengineering, Stanford University, Stanford, United States
- Chan Zuckerberg Biohub, San Francisco, United States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Epigenetics Programme, The Babraham Institute, Cambridge, United Kingdom
- Centre for Trophoblast Research, University of Cambridge, Cambridge, United Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States
| | - Rahul Satija
- Department of Biology, New York University, New York, United States
- New York Genome Center, New York University, New York, United States
| | - Ton N Schumacher
- Division of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Alex Shalek
- Broad Institute of MIT and Harvard, Cambridge, United States
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, United States
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer Center, University of Texas, Houston, United States
| | - Jay W Shin
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Oliver Stegle
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | | | - Fabian J Theis
- Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Center Munich, Neuherberg, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of Proteomics, KTH Royal Institute of Technology, Stockholm, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Danish Technical University, Lyngby, Denmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical Institute, Chevy Chase, United States
- Department of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, United States
- Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States
| | - Barbara Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Ramnik Xavier
- Broad Institute of MIT and Harvard, Cambridge, United States
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, United States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, United States
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, United States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
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10
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 PMCID: PMC5762154 DOI: 10.7554/elife.27041] [Citation(s) in RCA: 1156] [Impact Index Per Article: 165.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 12/12/2022] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
| | - Eric S Lander
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
| | - Ido Amit
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
| | - Ewan Birney
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
| | - Ian Dunham
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
| | - Wolfgang Enard
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
| | - Andrew Farmer
- Takara Bio United States, Inc.Mountain ViewUnited States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Berthold Göttgens
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and HarvardCambridgeUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - Muzlifah Haniffa
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
| | - Ed Lein
- Allen Institute for Brain ScienceSeattleUnited States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
| | - Emma Lundberg
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Miriam Merad
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
| | - Garry Nolan
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
| | - Dana Pe'er
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
| | - Rahul Satija
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
| | - Ton N Schumacher
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Alex Shalek
- Broad Institute of MIT and HarvardCambridgeUnited States
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
| | - Jay W Shin
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Oliver Stegle
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | | | - Fabian J Theis
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
| | - Barbara Wold
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Ramnik Xavier
- Broad Institute of MIT and HarvardCambridgeUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Human Cell Atlas Meeting Participants
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
- Takara Bio United States, Inc.Mountain ViewUnited States
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Massachusetts General Hospital Cancer CenterBostonUnited States
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Allen Institute for Brain ScienceSeattleUnited States
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
- National Institute of Biomedical GenomicsKalyaniIndia
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
- Hubrecht Institute and University Medical Center UtrechtUtrechtThe Netherlands
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
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11
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Abstract
Studies of chromosome and genome biology often focus on condensed chromatin in the form of chromosomes and neglect the non-dividing cells. Even when interphase nuclei are considered, they are often then treated as interchangeable round objects. However, different cell types can have very different nuclear shapes, and these shapes have impacts on cellular function; indeed, many pathologies are linked with alterations to nuclear shape. In this review, we describe some of the nuclear morphologies beyond the spherical and ovoid. Many of the leukocytes of the immune system have lobed nuclei, which aid their flexibility and migration; smooth muscle cells have a spindle shaped nucleus, which must deform during muscle contractions; spermatozoa have highly condensed nuclei which adopt varied shapes, potentially associated with swimming efficiency. Nuclei are not passive passengers within the cell. There are clear effects of nuclear shape on the transcriptional activity of the cell. Recent work has shown that regulation of gene expression can be influenced by nuclear morphology, and that cells can drastically remodel their chromatin during differentiation. The link between the nucleoskeleton and the cytoskeleton at the nuclear envelope provides a mechanism for transmission of mechanical forces into the nucleus, directly affecting chromatin compaction and organisation.
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Affiliation(s)
- Benjamin M Skinner
- Department of Pathology, University of Cambridge, Cambridge, CB2 1QP, UK.
| | - Emma E P Johnson
- Department of Pathology, University of Cambridge, Cambridge, CB2 1QP, UK
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12
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Abstract
Autophagy has burgeoned rapidly as a field of study because of its evolutionary conservation, the diversity of intracellular cargoes degraded and recycled by this machinery, the mechanisms involved, as well as its physiological relevance to human health and disease. This self-eating process was initially viewed as a non-selective mechanism used by eukaryotic cells to degrade and recycle macromolecules in response to stress; we now know that various cellular constituents, as well as pathogens, can also undergo selective autophagy. In contrast to non-selective autophagy, selective autophagy pathways rely on a plethora of selective autophagy receptors (SARs) that recognize and direct intracellular protein aggregates, organelles and pathogens for specific degradation. Although SARs themselves are not highly conserved, their modes of action and the signalling cascades that activate and regulate them are. Recent yeast studies have provided novel mechanistic insights into selective autophagy pathways, revealing principles of how various cargoes can be marked and targeted for selective degradation.
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Affiliation(s)
- Jean-Claude Farré
- University of California, 3326 Bonner Hall, 9500 Gilman Drive, San Diego, La Jolla, California 92093-0322, USA
| | - Suresh Subramani
- University of California, 3326 Bonner Hall, 9500 Gilman Drive, San Diego, La Jolla, California 92093-0322, USA
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13
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Abstract
For over 100 years, endosymbiotic theories have figured in thoughts about the differences between prokaryotic and eukaryotic cells. More than 20 different versions of endosymbiotic theory have been presented in the literature to explain the origin of eukaryotes and their mitochondria. Very few of those models account for eukaryotic anaerobes. The role of energy and the energetic constraints that prokaryotic cell organization placed on evolutionary innovation in cell history has recently come to bear on endosymbiotic theory. Only cells that possessed mitochondria had the bioenergetic means to attain eukaryotic cell complexity, which is why there are no true intermediates in the prokaryote-to-eukaryote transition. Current versions of endosymbiotic theory have it that the host was an archaeon (an archaebacterium), not a eukaryote. Hence the evolutionary history and biology of archaea increasingly comes to bear on eukaryotic origins, more than ever before. Here, we have compiled a survey of endosymbiotic theories for the origin of eukaryotes and mitochondria, and for the origin of the eukaryotic nucleus, summarizing the essentials of each and contrasting some of their predictions to the observations. A new aspect of endosymbiosis in eukaryote evolution comes into focus from these considerations: the host for the origin of plastids was a facultative anaerobe.
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Affiliation(s)
- William F Martin
- Institute for Molecular Evolution, Universität Düsseldorf, Universitätsstraße 1, Düsseldorf 40225, Germany
| | - Sriram Garg
- Institute for Molecular Evolution, Universität Düsseldorf, Universitätsstraße 1, Düsseldorf 40225, Germany
| | - Verena Zimorski
- Institute for Molecular Evolution, Universität Düsseldorf, Universitätsstraße 1, Düsseldorf 40225, Germany
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14
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Moreira D, López-García P. Evolution of viruses and cells: do we need a fourth domain of life to explain the origin of eukaryotes? Philos Trans R Soc Lond B Biol Sci 2015; 370:20140327. [PMID: 26323758 PMCID: PMC4571566 DOI: 10.1098/rstb.2014.0327] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2015] [Indexed: 01/14/2023] Open
Abstract
The recent discovery of diverse very large viruses, such as the mimivirus, has fostered a profusion of hypotheses positing that these viruses define a new domain of life together with the three cellular ones (Archaea, Bacteria and Eucarya). It has also been speculated that they have played a key role in the origin of eukaryotes as donors of important genes or even as the structures at the origin of the nucleus. Thanks to the increasing availability of genome sequences for these giant viruses, those hypotheses are amenable to testing via comparative genomic and phylogenetic analyses. This task is made very difficult by the high evolutionary rate of viruses, which induces phylogenetic artefacts, such as long branch attraction, when inadequate methods are applied. It can be demonstrated that phylogenetic trees supporting viruses as a fourth domain of life are artefactual. In most cases, the presence of homologues of cellular genes in viruses is best explained by recurrent horizontal gene transfer from cellular hosts to their infecting viruses and not the opposite. Today, there is no solid evidence for the existence of a viral domain of life or for a significant implication of viruses in the origin of the cellular domains.
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Affiliation(s)
- David Moreira
- Unité d'Ecologie, Systématique et Evolution, CNRS UMR 8079, Université Paris-Sud, Orsay, France
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15
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Majaneva M, Hyytiäinen K, Varvio SL, Nagai S, Blomster J. Bioinformatic Amplicon Read Processing Strategies Strongly Affect Eukaryotic Diversity and the Taxonomic Composition of Communities. PLoS One 2015; 10:e0130035. [PMID: 26047335 PMCID: PMC4457843 DOI: 10.1371/journal.pone.0130035] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 05/16/2015] [Indexed: 11/19/2022] Open
Abstract
Amplicon read sequencing has revolutionized the field of microbial diversity studies. The technique has been developed for bacterial assemblages and has undergone rigorous testing with mock communities. However, due to the great complexity of eukaryotes and the numbers of different rDNA copies, analyzing eukaryotic diversity is more demanding than analyzing bacterial or mock communities, so studies are needed that test the methods of analyses on taxonomically diverse natural communities. In this study, we used 20 samples collected from the Baltic Sea ice, slush and under-ice water to investigate three program packages (UPARSE, mothur and QIIME) and 18 different bioinformatic strategies implemented in them. Our aim was to assess the impact of the initial steps of bioinformatic strategies on the results when analyzing natural eukaryotic communities. We found significant differences among the strategies in resulting read length, number of OTUs and estimates of diversity as well as clear differences in the taxonomic composition of communities. The differences arose mainly because of the variable number of chimeric reads that passed the pre-processing steps. Singleton removal and denoising substantially lowered the number of errors. Our study showed that the initial steps of the bioinformatic amplicon read processing strategies require careful consideration before applying them to eukaryotic communities.
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Affiliation(s)
- Markus Majaneva
- Department of Environmental Sciences, University of Helsinki, Helsinki, Finland
- Tvärminne Zoological Station, University of Helsinki, Hanko, Finland
- * E-mail:
| | - Kirsi Hyytiäinen
- Department of Environmental Sciences, University of Helsinki, Helsinki, Finland
- Tvärminne Zoological Station, University of Helsinki, Hanko, Finland
| | - Sirkka Liisa Varvio
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Satoshi Nagai
- Research Center for Aquatic Genomics, National Research Institute of Fisheries Science, Yokohama, Japan
| | - Jaanika Blomster
- Department of Environmental Sciences, University of Helsinki, Helsinki, Finland
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16
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Nau JY. [Miscellaneous news in biology, virology and esthetics]. Rev Med Suisse 2015; 11:1158-1159. [PMID: 26152096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
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17
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Panyushev NV, Tentler DG. [ALPHA-ACTININS AND SIGNAL TRANSDUCTION PATHWAYS]. Tsitologiia 2015; 57:862-867. [PMID: 26995963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Involvement of actin cytoskeleton proteins in signal transduction from cell surface to the nucleus, including regulation of transcription factors activity, has now been supported by a lot of experimental data. Here-with, cytoskeletal proteins may have different functions than ones they execute in the cytoplasm. Particularly, alpha-actinin 4 stabilizing actin microfilaments in the cytoplasm can translocate to the nucleus and change the activity of several transcription factors. Despite the lack of nuclear import signal and DNA binding domain, alpha-actinin 4 can bind to promoter sequences, and co-activate NF-κB-dependent transcription. Selective regulation of NF-κB gene targets may indicate involvement of alpha-actinin 4 in determining the specificity of cell response to NF-κB activation in cells of different types.
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18
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Abstract
Complexity measures are used to compare the genomic characteristics of five organisms belonging to distinct classes spanning the evolutionary tree: higher eukaryotes, amoebae, unicellular eukaryotes and bacteria. The comparisons are undertaken using the full four-letter alphabet and the coarse grained two-letter alphabets AG-CT and AT-CG. We show that the conditional probability matrix for the four-letter and AT-CG alphabet is markedly asymmetric in eukaryotes while it is nearly symmetric in bacterial genomes. Spatial asymmetry is revealed in the four-letter alphabet, signifying that the probability fluxes are nonvanishing and thus the reading sense of a sequence is irreversible for all organisms. Calculations of the block entropy and excess entropy demonstrate that the human genome accommodates better all possible block configurations, especially for long blocks. With respect to point-to-point details and to spatial arrangement of blocks the exit distance distributions from a particular letter demonstrate long distance characteristics in the eukaryotic sequences for all three alphabets, while the bacterial (prokaryotic) genomes deviate indicating short range characteristics. Overall, the conditional probability, the fluxes, the block entropy content and the exit distance distributions can be used as markers, discriminating between eukaryotic and prokaryotic DNA, allowing in many cases to discern details related to finer classes. In all cases the reduction from four letters to two masks some important statistical and spatial properties, with the AT-CG alphabet having higher ability of discrimination than the AG-CT one. In particular, the AT-CG alphabet reduction accentuates the CpG related properties (conditional probabilities w32, long ranged exit distance distribution for A and T nucleotides), but masks sequence asymmetry and irreversibility in all examined organisms.
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Affiliation(s)
- A Provata
- Institute of Nanoscience and Nanotechnology, National Center for Scientific Research "Demokritos", 15310 Athens, Greece.
| | - C Nicolis
- Institut Royal Météorogique de Belgique, 3 Avenue Circulaire, 1180 Bruxelles, Belgium.
| | - G Nicolis
- Interdisciplinary Center for Nonlinear Phenomena and Complex Systems, Université Libre de Bruxelles, Campus Plaine, C.P. 231, 1050 Bruxelles, Belgium.
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19
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Hugerth LW, Muller EEL, Hu YOO, Lebrun LAM, Roume H, Lundin D, Wilmes P, Andersson AF. Systematic design of 18S rRNA gene primers for determining eukaryotic diversity in microbial consortia. PLoS One 2014; 9:e95567. [PMID: 24755918 PMCID: PMC3995771 DOI: 10.1371/journal.pone.0095567] [Citation(s) in RCA: 135] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 03/28/2014] [Indexed: 01/22/2023] Open
Abstract
High-throughput sequencing of ribosomal RNA gene (rDNA) amplicons has opened up the door to large-scale comparative studies of microbial community structures. The short reads currently produced by massively parallel sequencing technologies make the choice of sequencing region crucial for accurate phylogenetic assignments. While for 16S rDNA, relevant regions have been well described, no truly systematic design of 18S rDNA primers aimed at resolving eukaryotic diversity has yet been reported. Here we used 31,862 18S rDNA sequences to design a set of broad-taxonomic range degenerate PCR primers. We simulated the phylogenetic information that each candidate primer pair would retrieve using paired- or single-end reads of various lengths, representing different sequencing technologies. Primer pairs targeting the V4 region performed best, allowing discrimination with paired-end reads as short as 150 bp (with 75% accuracy at genus level). The conditions for PCR amplification were optimised for one of these primer pairs and this was used to amplify 18S rDNA sequences from isolates as well as from a range of environmental samples which were then Illumina sequenced and analysed, revealing good concordance between expected and observed results. In summary, the reported primer sets will allow minimally biased assessment of eukaryotic diversity in different microbial ecosystems.
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Affiliation(s)
- Luisa W. Hugerth
- KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, Stockholm, Sweden
| | - Emilie E. L. Muller
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Yue O. O. Hu
- KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, Stockholm, Sweden
| | - Laura A. M. Lebrun
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Hugo Roume
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Daniel Lundin
- KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, Stockholm, Sweden
| | - Paul Wilmes
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Anders F. Andersson
- KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Division of Gene Technology, Stockholm, Sweden
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20
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Jiang X, Langille MGI, Neches RY, Elliot M, Levin SA, Eisen JA, Weitz JS, Dushoff J. Functional biogeography of ocean microbes revealed through non-negative matrix factorization. PLoS One 2012; 7:e43866. [PMID: 23049741 PMCID: PMC3445553 DOI: 10.1371/journal.pone.0043866] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2012] [Accepted: 07/30/2012] [Indexed: 01/12/2023] Open
Abstract
The direct “metagenomic” sequencing of genomic material from complex assemblages of bacteria, archaea, viruses and microeukaryotes has yielded new insights into the structure of microbial communities. For example, analysis of metagenomic data has revealed the existence of previously unknown microbial taxa whose spatial distributions are limited by environmental conditions, ecological competition, and dispersal mechanisms. However, differences in genotypes that might lead biologists to designate two microbes as taxonomically distinct need not necessarily imply differences in ecological function. Hence, there is a growing need for large-scale analysis of the distribution of microbial function across habitats. Here, we present a framework for investigating the biogeography of microbial function by analyzing the distribution of protein families inferred from environmental sequence data across a global collection of sites. We map over 6,000,000 protein sequences from unassembled reads from the Global Ocean Survey dataset to protein families, generating a protein family relative abundance matrix that describes the distribution of each protein family across sites. We then use non-negative matrix factorization (NMF) to approximate these protein family profiles as linear combinations of a small number of ecological components. Each component has a characteristic functional profile and site profile. Our approach identifies common functional signatures within several of the components. We use our method as a filter to estimate functional distance between sites, and find that an NMF-filtered measure of functional distance is more strongly correlated with environmental distance than a comparable PCA-filtered measure. We also find that functional distance is more strongly correlated with environmental distance than with geographic distance, in agreement with prior studies. We identify similar protein functions in several components and suggest that functional co-occurrence across metagenomic samples could lead to future methods for de-novo functional prediction. We conclude by discussing how NMF, and other dimension reduction methods, can help enable a macroscopic functional description of marine ecosystems.
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Affiliation(s)
- Xingpeng Jiang
- College of Information Science and Technology, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Morgan G. I. Langille
- Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Russell Y. Neches
- Genome Center and Microbiology Graduate Group, University of California Davis, Davis, California, United States of America
| | - Marie Elliot
- Department of Biology and M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada
| | - Simon A. Levin
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
| | - Jonathan A. Eisen
- Genome Center and Microbiology Graduate Group, University of California Davis, Davis, California, United States of America
- Department of Evolution and Ecology, Department of Medical Microbiology and Immunology, University of California Davis, Davis, California, United States of America
| | - Joshua S. Weitz
- School of Biology and School of Physics, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- * E-mail: (JW); (JD)
| | - Jonathan Dushoff
- Department of Biology and M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada
- * E-mail: (JW); (JD)
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21
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Alexeyenko A, Sonnhammer EL. Global networks of functional coupling in eukaryotes from comprehensive data integration. Genes Dev 2009; 19:1107-16. [PMID: 19246318 PMCID: PMC2694487 DOI: 10.1101/gr.087528.108] [Citation(s) in RCA: 127] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2008] [Accepted: 02/19/2009] [Indexed: 01/06/2023]
Abstract
No single experimental method can discover all connections in the interactome. A computational approach can help by integrating data from multiple, often unrelated, proteomics and genomics pipelines. Reconstructing global networks of functional coupling (FC) faces the challenges of scale and heterogeneity--how to efficiently integrate huge amounts of diverse data from multiple organisms, yet ensuring high accuracy. We developed FunCoup, an optimized Bayesian framework, to resolve these issues. Because interactomes comprise functional coupling of many types, FunCoup annotates network edges with confidence scores in support of different kinds of interactions: physical interaction, protein complex member, metabolic, or signaling link. This capability boosted overall accuracy. On the whole, the constructed framework was comprehensively tested to optimize the overall confidence and ensure seamless, automated incorporation of new data sets of heterogeneous types. Using over 50 data sets in seven organisms and extensively transferring information between orthologs, FunCoup predicted global networks in eight eukaryotes. For the Ciona intestinalis network, only orthologous information was used, and it recovered a significant number of experimental facts. FunCoup predictions were validated on independent cancer mutation data. We show how FunCoup can be used for discovering candidate members of the Parkinson and Alzheimer pathways. Cross-species pathway conservation analysis provided further support to these observations.
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Affiliation(s)
- Andrey Alexeyenko
- Stockholm Bioinformatics Center, Albanova, Stockholm University, 10691 Stockholm, Sweden
| | - Erik L.L. Sonnhammer
- Stockholm Bioinformatics Center, Albanova, Stockholm University, 10691 Stockholm, Sweden
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22
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Vinella D, Brochier-Armanet C, Loiseau L, Talla E, Barras F. Iron-sulfur (Fe/S) protein biogenesis: phylogenomic and genetic studies of A-type carriers. PLoS Genet 2009; 5:e1000497. [PMID: 19478995 PMCID: PMC2682760 DOI: 10.1371/journal.pgen.1000497] [Citation(s) in RCA: 143] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2008] [Accepted: 04/28/2009] [Indexed: 11/29/2022] Open
Abstract
Iron sulfur (Fe/S) proteins are ubiquitous and participate in multiple biological processes, from photosynthesis to DNA repair. Iron and sulfur are highly reactive chemical species, and the mechanisms allowing the multiprotein systems ISC and SUF to assist Fe/S cluster formation in vivo have attracted considerable attention. Here, A-Type components of these systems (ATCs for A-Type Carriers) are studied by phylogenomic and genetic analyses. ATCs that have emerged in the last common ancestor of bacteria were conserved in most bacteria and were acquired by eukaryotes and few archaea via horizontal gene transfers. Many bacteria contain multiple ATCs, as a result of gene duplication and/or horizontal gene transfer events. Based on evolutionary considerations, we could define three subfamilies: ATC-I, -II and -III. Escherichia coli, which has one ATC-I (ErpA) and two ATC-IIs (IscA and SufA), was used as a model to investigate functional redundancy between ATCs in vivo. Genetic analyses revealed that, under aerobiosis, E. coli IscA and SufA are functionally redundant carriers, as both are potentially able to receive an Fe/S cluster from IscU or the SufBCD complex and transfer it to ErpA. In contrast, under anaerobiosis, redundancy occurs between ErpA and IscA, which are both potentially able to receive Fe/S clusters from IscU and transfer them to an apotarget. Our combined phylogenomic and genetic study indicates that ATCs play a crucial role in conveying ready-made Fe/S clusters from components of the biogenesis systems to apotargets. We propose a model wherein the conserved biochemical function of ATCs provides multiple paths for supplying Fe/S clusters to apotargets. This model predicts the occurrence of a dynamic network, the structure and composition of which vary with the growth conditions. As an illustration, we depict three ways for a given protein to be matured, which appears to be dependent on the demand for Fe/S biogenesis. Iron sulfur (Fe/S) proteins are found in all living organisms where they participate in a wide array of biological processes. Accordingly, genetic defects in Fe/S biogenesis yield pleiotropic phenotypes in bacteria and several syndromes in humans. Multiprotein systems that assist Fe/S cluster formation and insertion into apoproteins have been identified. Most systems include so-called A-type proteins (which we refer to as ATC proteins hereafter), which have an undefined role in Fe/S biogenesis. Phylogenomic analyses presented, here, reveal that the ATC gene is ancient, that it was already present in the last common ancestor of bacteria, and that it subsequently spread to eukaryotes via mitochondria or chloroplastic endosymbioses and to a few archaea via horizontal gene transfers. Proteobacteria are unusual in having multiple ATCs. We show by a genetic approach that the three ATC proteins of E. coli are potentially interchangeable, but that redundancy is limited in vivo, either because of gene expression control or because of inefficient Fe/S transfers between ATCs and other components within the Fe/S biogenesis pathway. The combined phylogenomic and genetic approaches allow us to propose that multiple ATCs enable E. coli to diversify the ways for conveying ready-made Fe/S clusters from components of the biogenesis systems to apotargets, and that environmental conditions influence which pathway is used.
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Affiliation(s)
- Daniel Vinella
- Laboratoire de Chimie Bactérienne, Institut Fédératif de Recherche 88 - Institut de Microbiologie de la Méditerranée, Centre National de la Recherche Scientifique, Marseille, France
- Aix-Marseille Université, Marseille, France
| | - Céline Brochier-Armanet
- Laboratoire de Chimie Bactérienne, Institut Fédératif de Recherche 88 - Institut de Microbiologie de la Méditerranée, Centre National de la Recherche Scientifique, Marseille, France
- Aix-Marseille Université, Marseille, France
| | - Laurent Loiseau
- Laboratoire de Chimie Bactérienne, Institut Fédératif de Recherche 88 - Institut de Microbiologie de la Méditerranée, Centre National de la Recherche Scientifique, Marseille, France
- Aix-Marseille Université, Marseille, France
| | - Emmanuel Talla
- Laboratoire de Chimie Bactérienne, Institut Fédératif de Recherche 88 - Institut de Microbiologie de la Méditerranée, Centre National de la Recherche Scientifique, Marseille, France
- Aix-Marseille Université, Marseille, France
| | - Frédéric Barras
- Laboratoire de Chimie Bactérienne, Institut Fédératif de Recherche 88 - Institut de Microbiologie de la Méditerranée, Centre National de la Recherche Scientifique, Marseille, France
- Aix-Marseille Université, Marseille, France
- * E-mail:
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23
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Gile GH, Faktorová D, Castlejohn CA, Burger G, Lang BF, Farmer MA, Lukes J, Keeling PJ. Distribution and phylogeny of EFL and EF-1alpha in Euglenozoa suggest ancestral co-occurrence followed by differential loss. PLoS One 2009; 4:e5162. [PMID: 19357788 PMCID: PMC2664479 DOI: 10.1371/journal.pone.0005162] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2009] [Accepted: 03/18/2009] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The eukaryotic elongation factor EF-1alpha (also known as EF1A) catalyzes aminoacyl-tRNA binding by the ribosome during translation. Homologs of this essential protein occur in all domains of life, and it was previously thought to be ubiquitous in eukaryotes. Recently, however, a number of eukaryotes were found to lack EF-1alpha and instead encode a related protein called EFL (for EF-Like). EFL-encoding organisms are scattered widely across the tree of eukaryotes, and all have close relatives that encode EF-1alpha. This intriguingly complex distribution has been attributed to multiple lateral transfers because EFL's near mutual exclusivity with EF-1alpha makes an extended period of co-occurrence seem unlikely. However, differential loss may play a role in EFL evolution, and this possibility has been less widely discussed. METHODOLOGY/PRINCIPAL FINDINGS We have undertaken an EST- and PCR-based survey to determine the distribution of these two proteins in a previously under-sampled group, the Euglenozoa. EF-1alpha was found to be widespread and monophyletic, suggesting it is ancestral in this group. EFL was found in some species belonging to each of the three euglenozoan lineages, diplonemids, kinetoplastids, and euglenids. CONCLUSIONS/SIGNIFICANCE Interestingly, the kinetoplastid EFL sequences are specifically related despite the fact that the lineages in which they are found are not sisters to one another, suggesting that EFL and EF-1alpha co-occurred in an early ancestor of kinetoplastids. This represents the strongest phylogenetic evidence to date that differential loss has contributed to the complex distribution of EFL and EF-1alpha.
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Affiliation(s)
- Gillian H Gile
- Department of Botany, Canadian Institute for Advanced Research, University of British Columbia, Vancouver, British Columbia, Canada.
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24
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Abstract
Phylogenetic reconstruction among various organisms not only helps understand their evolutionary history but also reveal several fundamental evolutionary questions. Understanding of the evolutionary relationships among organisms establishes the foundation for the investigations of other biological disciplines. However, almost all the widely used phylogenetic methods have limitations which fail to eliminate systematic errors effectively, preventing the reconstruction of true organismal relationships. "Long-branch Attraction" (LBA) artifact is one of the most disturbing factors in phylogenetic reconstruction. In this review, the conception and analytic method as well as the avoidance strategy of LBA were summarized. In addition, several typical examples were provided. The approach to avoid and resolve LBA artifact has been discussed.
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Affiliation(s)
- Yi-Wei Li
- Laboratory of Conservation and Utilization of Bio-resource, Yunnan University, Kunming 650091, China.
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25
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Isenbarger TA, Carr CE, Johnson SS, Finney M, Church GM, Gilbert W, Zuber MT, Ruvkun G. The most conserved genome segments for life detection on Earth and other planets. ORIGINS LIFE EVOL B 2008; 38:517-33. [PMID: 18853276 DOI: 10.1007/s11084-008-9148-z] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2008] [Accepted: 09/23/2008] [Indexed: 11/28/2022]
Abstract
On Earth, very simple but powerful methods to detect and classify broad taxa of life by the polymerase chain reaction (PCR) are now standard practice. Using DNA primers corresponding to the 16S ribosomal RNA gene, one can survey a sample from any environment for its microbial inhabitants. Due to massive meteoritic exchange between Earth and Mars (as well as other planets), a reasonable case can be made for life on Mars or other planets to be related to life on Earth. In this case, the supremely sensitive technologies used to study life on Earth, including in extreme environments, can be applied to the search for life on other planets. Though the 16S gene has become the standard for life detection on Earth, no genome comparisons have established that the ribosomal genes are, in fact, the most conserved DNA segments across the kingdoms of life. We present here a computational comparison of full genomes from 13 diverse organisms from the Archaea, Bacteria, and Eucarya to identify genetic sequences conserved across the widest divisions of life. Our results identify the 16S and 23S ribosomal RNA genes as well as other universally conserved nucleotide sequences in genes encoding particular classes of transfer RNAs and within the nucleotide binding domains of ABC transporters as the most conserved DNA sequence segments across phylogeny. This set of sequences defines a core set of DNA regions that have changed the least over billions of years of evolution and provides a means to identify and classify divergent life, including ancestrally related life on other planets.
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MESH Headings
- ATP-Binding Cassette Transporters/genetics
- Base Sequence
- Earth, Planet
- Eukaryotic Cells/classification
- Eukaryotic Cells/metabolism
- Evolution, Molecular
- Exobiology/methods
- Extraterrestrial Environment
- Genome/genetics
- Genome, Archaeal/genetics
- Genome, Bacterial/genetics
- Molecular Sequence Data
- Origin of Life
- Phylogeny
- Planets
- Prokaryotic Cells/classification
- Prokaryotic Cells/metabolism
- RNA, Ribosomal, 16S/genetics
- RNA, Ribosomal, 23S/genetics
- Sequence Analysis, DNA
- Sequence Homology, Nucleic Acid
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Affiliation(s)
- Thomas A Isenbarger
- Department of Molecular Biology, Massachusetts General Hospital, and Microbial Sciences Initiative, Harvard University, Cambridge, MA, USA
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Nam YD, Chang HW, Kim KH, Roh SW, Kim MS, Jung MJ, Lee SW, Kim JY, Yoon JH, Bae JW. Bacterial, archaeal, and eukaryal diversity in the intestines of Korean people. J Microbiol 2008; 46:491-501. [PMID: 18974948 DOI: 10.1007/s12275-008-0199-7] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2008] [Accepted: 10/07/2008] [Indexed: 12/11/2022]
Abstract
The bacterial, archaeal, and eukaryal diversity in fecal samples from ten Koreans were analyzed and compared by using the PCR-fingerprinting method, denaturing gradient gel electrophoresis (DGGE). The bacteria all belonged to the Firmicutes and Bacteroidetes phyla, which were known to be the dominant bacterial species in the human intestine. Most of the archaeal sequences belonged to the methane-producing archaea but several halophilic archarea-related sequences were also detected unexpectedly. While a small number of eukaryal sequences were also detected upon DGGE analysis, these sequences were related to fungi and stramenopiles (Blastocystis hominis). With regard to the bacterial and archaeal DGGE analysis, all ten samples had one and two prominent bands, respectively, but many individual-specific bands were also observed. However, only five of the ten samples had small eukaryal DGGE bands and none of these bands was observed in all five samples. Unweighted pair group method and arithmetic averages clustering algorithm (UPGMA) clustering analysis revealed that the archaeal and bacterial communities in the ten samples had relatively higher relatedness (the average Dice coefficient values were 68.9 and 59.2% for archaea and bacteria, respectively) but the eukaryal community showed low relatedness (39.6%).
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Affiliation(s)
- Young-Do Nam
- Biological Resources Center, KRIBB, Daejeon 305-806, Republic of Korea
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27
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Irimia M, Roy SW. Evolutionary convergence on highly-conserved 3' intron structures in intron-poor eukaryotes and insights into the ancestral eukaryotic genome. PLoS Genet 2008; 4:e1000148. [PMID: 18688272 PMCID: PMC2483917 DOI: 10.1371/journal.pgen.1000148] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2008] [Accepted: 07/01/2008] [Indexed: 02/04/2023] Open
Abstract
The presence of spliceosomal introns in eukaryotes raises a range of questions about genomic evolution. Along with the fundamental mysteries of introns' initial proliferation and persistence, the evolutionary forces acting on intron sequences remain largely mysterious. Intron number varies across species from a few introns per genome to several introns per gene, and the elements of intron sequences directly implicated in splicing vary from degenerate to strict consensus motifs. We report a 50-species comparative genomic study of intron sequences across most eukaryotic groups. We find two broad and striking patterns. First, we find that some highly intron-poor lineages have undergone evolutionary convergence to strong 3' consensus intron structures. This finding holds for both branch point sequence and distance between the branch point and the 3' splice site. Interestingly, this difference appears to exist within the genomes of green alga of the genus Ostreococcus, which exhibit highly constrained intron sequences through most of the intron-poor genome, but not in one much more intron-dense genomic region. Second, we find evidence that ancestral genomes contained highly variable branch point sequences, similar to more complex modern intron-rich eukaryotic lineages. In addition, ancestral structures are likely to have included polyT tails similar to those in metazoans and plants, which we found in a variety of protist lineages. Intriguingly, intron structure evolution appears to be quite different across lineages experiencing different types of genome reduction: whereas lineages with very few introns tend towards highly regular intronic sequences, lineages with very short introns tend towards highly degenerate sequences. Together, these results attest to the complex nature of ancestral eukaryotic splicing, the qualitatively different evolutionary forces acting on intron structures across modern lineages, and the impressive evolutionary malleability of eukaryotic gene structures.
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Affiliation(s)
- Manuel Irimia
- Departament de Genetica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- * E-mail: (MI); (SWR)
| | - Scott William Roy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail: (MI); (SWR)
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Abstract
BACKGROUND Classification of eukaryotes provides a fundamental phylogenetic framework for ecological, medical, and industrial research. In recent years eukaryotes have been classified into six major supergroups: Amoebozoa, Archaeplastida, Chromalveolata, Excavata, Opisthokonta, and Rhizaria. According to this supergroup classification, Archaeplastida and Chromalveolata each arose from a single plastid-generating endosymbiotic event involving a cyanobacterium (Archaeplastida) or red alga (Chromalveolata). Although the plastids within members of the Archaeplastida and Chromalveolata share some features, no nucleocytoplasmic synapomorphies supporting these supergroups are currently known. METHODOLOGY/PRINCIPAL FINDINGS This study was designed to test the validity of the Archaeplastida and Chromalveolata through the analysis of nucleus-encoded eukaryotic translation elongation factor 2 (EEF2) and cytosolic heat-shock protein of 70 kDa (HSP70) sequences generated from the glaucophyte Cyanophora paradoxa, the cryptophytes Goniomonas truncata and Guillardia theta, the katablepharid Leucocryptos marina, the rhizarian Thaumatomonas sp. and the green alga Mesostigma viride. The HSP70 phylogeny was largely unresolved except for certain well-established groups. In contrast, EEF2 phylogeny recovered many well-established eukaryotic groups and, most interestingly, revealed a well-supported clade composed of cryptophytes, katablepharids, haptophytes, rhodophytes, and Viridiplantae (green algae and land plants). This clade is further supported by the presence of a two amino acid signature within EEF2, which appears to have arisen from amino acid replacement before the common origin of these eukaryotic groups. CONCLUSIONS/SIGNIFICANCE Our EEF2 analysis strongly refutes the monophyly of the Archaeplastida and the Chromalveolata, adding to a growing body of evidence that limits the utility of these supergroups. In view of EEF2 phylogeny and other morphological evidence, we discuss the possibility of an alternative eukaryotic supergroup.
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Affiliation(s)
- Eunsoo Kim
- Department of Botany, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
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29
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Long S, Jirků M, Mach J, Ginger ML, Sutak R, Richardson D, Tachezy J, Lukes J. Ancestral roles of eukaryotic frataxin: mitochondrial frataxin function and heterologous expression of hydrogenosomal Trichomonas homologues in trypanosomes. Mol Microbiol 2008; 69:94-109. [PMID: 18433447 DOI: 10.1111/j.1365-2958.2008.06260.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Frataxin is a small conserved mitochondrial protein; in humans, mutations affecting frataxin expression or function result in Friedreich's ataxia. Much of the current understanding of frataxin function comes from informative studies with yeast models, but considerable debates remain with regard to the primary functions of this ubiquitous protein. We exploit the tractable reverse genetics of Trypanosoma brucei in order to specifically consider the importance of frataxin in an early branching lineage. Using inducible RNAi, we show that frataxin is essential in T. brucei and that its loss results in reduced activity of the marker Fe-S cluster-containing enzyme aconitase in both the mitochondrion and cytosol. Activities of mitochondrial succinate dehydrogenase and fumarase also decreased, but the concentration of reactive oxygen species increased. Trypanosomes lacking frataxin also exhibited a low mitochondrial membrane potential and reduced oxygen consumption. Crucially, however, iron did not accumulate in frataxin-depleted mitochondria, and as T. brucei frataxin does not form large complexes, it suggests that it plays no role in iron storage. Interestingly, RNAi phenotypes were ameliorated by expression of frataxin homologues from hydrogenosomes of another divergent protist Trichomonas vaginalis. Collectively, the data suggest trypanosome frataxin functions primarily only in Fe-S cluster biogenesis and protection from reactive oxygen species.
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Affiliation(s)
- Shaojun Long
- Biology Centre, Institute of Parasitology, Czech Academy of Sciences, and Faculty of Natural Sciences, University of South Bohemia, Ceské Budejovice (Budweis), Czech Republic
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30
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Tikhonenkov DV, Mazeĭ IA, Embulaeva EA. [Degradation succession of heterotrophic flagellate communities in microcosms]. Zh Obshch Biol 2008; 69:57-64. [PMID: 18409401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Degradation succession of heterotrophic flagellate communities was studied in samples of detritus and water from a small swamped lake in the environs of the settlement Borok, Yaroslavl province. Three stages of succession with different species composition of the heterotrophic flagellate community were clearly recognized. Cumulative properties of the community change with time. Maximum species richness, diversity, and abundance were observed on the fourth day of succession; their values gradually decreased later. The trophic and taxonomic community structure was most diverse at the earlier stages of succession. Primordial food (bacteria) concentration affects only the size of peak community properties, but has no influence on the pattern of succession changes. The influence of predators considerably reduced heterotrophic flagellate abundance and can shift the time of the stage with maximum species diversity in the course of succession.
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31
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Aguilera A, Zettler E, Gómez F, Amaral-Zettler L, Rodríguez N, Amils R. Distribution and seasonal variability in the benthic eukaryotic community of Río Tinto (SW, Spain), an acidic, high metal extreme environment. Syst Appl Microbiol 2007; 30:531-46. [PMID: 17644297 DOI: 10.1016/j.syapm.2007.05.003] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2007] [Revised: 05/03/2007] [Accepted: 05/14/2007] [Indexed: 10/23/2022]
Abstract
The eukaryotic community of the Río Tinto (SW, Spain) was surveyed in fall, winter and spring through the combined use of traditional microscopy and molecular approaches, including Denaturing Gradient Gel Electrophoresis (DGGE) and sequence analysis of 18S rRNA gene fragments. Eukaryotic assemblages of surface sediment biofilms collected in January, May and September 2002 were compared from 13 sampling stations along the river. Physicochemical data revealed extremely acidic conditions (the pH ranged from 0.9 to 2.5) with high concentrations of heavy metals, including up to 20 mg l(-1) Fe, 317 mg l(-1) Zn, 47 mg l(-1) As, 42 mg l(-1) Cd and 4 mg l(-1) Ni. In total, 20 taxa were identified, including members of the Bacillariophyta, Chlorophyta and Euglenophyta phyla as well as ciliates, cercomonads, amoebae, stramenopiles, fungi, heliozoans and rotifers. In general, total cell abundances were highest in fall and spring but decreased drastically in winter, and the sampling stations with the most extreme conditions showed the lowest number of cells, as well as the lowest diversity. Species diversity did not vary much during the year. Only the filamentous algae showed a dramatic seasonal change, since they almost disappeared in winter and reached the highest biomass during the summer. Principal Components Analysis (PCA) showed a high inverse correlation between pH and most of the heavy metals analyzed, as well as Dunaliella sp., while Chlamydomonas sp. was directly related to pH during May and September. Three heavy metals (Zn, Cu and Ni) remained separate from the rest and showed an inverse correlation with most of the species analyzed, except for Dunaliella sp.
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Affiliation(s)
- Angeles Aguilera
- Centro de Astrobiología, Instituto Nacional de Técnica Aeroespacial, Carretera de Ajalvir Km 4, Torrejón de Ardoz, 28850 Madrid, Spain.
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32
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Bertini I, Cavallaro G, Rosato A. Evolution of mitochondrial-type cytochrome c domains and of the protein machinery for their assembly. J Inorg Biochem 2007; 101:1798-811. [PMID: 17368779 DOI: 10.1016/j.jinorgbio.2007.02.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2006] [Revised: 02/01/2007] [Accepted: 02/06/2007] [Indexed: 11/20/2022]
Abstract
Proteins containing mitochondrial-type cytochrome c domains, defined here as protein domains having the mitochondrial cytochrome c fold, are found in organisms from all domains of life, and constitute essential components in several different metabolic pathways. The number of cytochrome c domains present in a given organism as well as their functional roles can vary widely even for quite closely related organisms. In this work, we have analysed in detail the distribution of mitochondrial-type cytochrome c domains along the tree of life and attempted to define the evolutionary relationships among them. In parallel, we have similarly analysed also the occurrence and distribution of the different machineries for cytochrome c assembly. It is found that the first appearance of mitochondrial-type cytochrome c domains has likely happened in the bacterial world, together with the first apparatus for their assembly. Evolution of cytochrome c domains has been extensive, involving several gene duplication and gene transfer events. Of particular relevance are gene transfer events from Bacteria to Eukarya and Archaea. The transfer of genes encoding cytochrome c domains has generally co-occurred with transfer of the assembly machinery. This has occurred also in Eukarya, where however the latter machinery has been subsequently replaced by a new one. It is possible that of the three known enzymatic systems for cytochrome c assembly, system II (found, among others, in cyanobacteria and Gram-positive bacteria) is the most ancient. Archaea have inherited from Bacteria system I or, possibly, an evolutionary intermediate between system II and system I.
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Affiliation(s)
- Ivano Bertini
- Magnetic Resonance Center (CERM), University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.
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33
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Wong JTF, Chen J, Mat WK, Ng SK, Xue H. Polyphasic evidence delineating the root of life and roots of biological domains. Gene 2007; 403:39-52. [PMID: 17884304 DOI: 10.1016/j.gene.2007.07.032] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2007] [Revised: 07/22/2007] [Accepted: 07/23/2007] [Indexed: 12/29/2022]
Abstract
Twenty different lines of polyphasic evidence obtained from tRNA and protein sequences, anticodon usages, gene contents, metabolism and geochemistry have made possible the identification of a Last Universal Common Ancestor (LUCA) phylogenetically located proximal to the hyperthermophilic methanogenic archaeon Methanopyrus. Combined with analysis of high-similarity cross-domain tRNA pairs, the evidence also suggests a Thermotoga-proximal Last Bacterial Common Ancestor (LBACA) that originated from Crenarchaeota close to Aeropyrum, and a Plasmodium-proximal Last Eukaryotic Common Ancestor (LECA) derived from Ferroplasma through endosymbiosis.
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Affiliation(s)
- J Tze-Fei Wong
- Department of Biochemistry and Applied Genomics Center, Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China.
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34
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Jakobsen AN, Aasen IM, Strøm AR. Endogenously synthesized (-)-proto-quercitol and glycine betaine are principal compatible solutes of Schizochytrium sp. strain S8 (ATCC 20889) and three new isolates of phylogenetically related thraustochytrids. Appl Environ Microbiol 2007; 73:5848-56. [PMID: 17660311 PMCID: PMC2074927 DOI: 10.1128/aem.00610-07] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
We report that endogenously synthesized (-)-proto-quercitol (1D-1,3,4/2,5-cyclohexanepentol) and glycine betaine were the principal compatible solutes of Schizochytrium sp. strain S8 (ATCC 20889) and three new osmotolerant isolates of thraustochytrids (strains T65, T66, and T67). The compatible solutes were identified and quantified by use of nuclear magnetic resonance spectroscopy, and their identity was confirmed by mass spectroscopy and measurement of the specific optical rotation. The cellular content of compatible solutes increased with increasing NaCl concentration of a defined medium. (-)-proto-Quercitol was the dominating solute at all NaCl concentrations tested (0.25 to 1.0 M), e.g., cells of S8 and T66 stressed with 1.0 M NaCl accumulated about 500 micromol (-)-proto-quercitol and 100 micromol glycine betaine per g dry weight. To our knowledge, (-)-proto-quercitol has previously been found only in eucalyptus. The 18S rRNA gene sequences of the four (-)-proto-quercitol-producing strains showed 99% identity, and they displayed the same fatty acid profile. The only polyunsaturated fatty acids accumulated were docosahexaenoic acid (78%) and docosapentaenoic acid (22%). A less osmotolerant isolate (strain T29), which was closely phylogenetically related to Thraustochytrium aureum (ATCC 34304), did not contain (-)-proto-quercitol or glycine betaine. Thus, the level of osmotolerance and the osmolyte systems vary among thraustochytrids.
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Affiliation(s)
- Anita N Jakobsen
- Department of Biotechnology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
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35
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Lepère C, Domaizon I, Debroas D. Community composition of lacustrine small eukaryotes in hyper-eutrophic conditions in relation to top-down and bottom-up factors. FEMS Microbiol Ecol 2007; 61:483-95. [PMID: 17655711 DOI: 10.1111/j.1574-6941.2007.00359.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Small eukaryotes (0.2-5 microm) in hyper-eutrophic conditions were described using terminal restriction fragment length polymorphism and cloning-sequencing, and were related to environmental variables both by an experimental approach and by a temporal field study. In situ analysis showed marked temporal variations in the dominant terminal restriction fragments (T-RFs), which were related to environmental variables such as nutrient concentrations and metazooplankton composition. To monitor the responses of the small-eukaryote community to top-down (absence or presence of planktivorous fish) and bottom-up (low or high nitrogen and phosphorus addition) effects, a cross-classified design mesocosm experiment was used. Depending on the type of treatment, we recorded changes in the diversity of T-RFs, as well as modifications in phylogenetic composition. Centroheliozoa and Cryptophyta were found in all types of treatment, whereas Chlorophyta were specific to enclosures receiving high nutrient loadings, and were associated either with LKM11 and 'environmental sequences'. Cercozoa and Fungi were not detected in enclosures receiving high nutrient loadings and fishes. Our results showed that resources and top-down factors are both clearly involved in shaping the structure of small eukaryotes, not only autotrophs but also heterotrophs, via complex interactions and trophic cascades within a microbial loop, notably in response to nutrient loading.
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Affiliation(s)
- Cécile Lepère
- Université Blaise Pascal, Laboratoire de Biologie des Protistes, Aubière, France
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36
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Zuendorf A, Bunge J, Behnke A, Barger KJA, Stoeck T. Diversity estimates of microeukaryotes below the chemocline of the anoxic Mariager Fjord, Denmark. FEMS Microbiol Ecol 2007; 58:476-91. [PMID: 17117990 DOI: 10.1111/j.1574-6941.2006.00171.x] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Microbial communities of extreme environments have often been assumed to have low species richness. We analysed 18S rRNA gene signatures in a sample collected below the chemocline of the anoxic Mariager Fjord in Denmark, and from these data we computed novel parametric and standard nonparametric estimates of protistan phylotype richness. Our results indicate unexpectedly high richness in this environment: at the 99.5% phylotype definition, our most conservative estimate was 568 phylotypes (+/-114, standard error). Phylogenetic analyses revealed that the sequences collected cover the majority of described lineages in the eukaryotic domain. Out of 384 sequences analysed, 307 were identified as protistan targets, none of which was identical to known sequences. However, based on what is known about species that are phylogenetically related to the Mariager sequences, most of the latter seem to belong to strictly or facultative anaerobe organisms. We also found signatures that together with other environmental 18S rRNA gene sequences represent environmental clades of possibly high taxonomic levels (class to kingdom level). One of these clades, consisting exclusively of sequences from anoxic sampling sites, branches at the base of the eukaryotic evolutionary tree among the earliest eukaryotic lineages. Assuming eukaryotic evolution under oxygen-depleted conditions, these sequences may represent immediate descendants of early eukaryotic ancestors.
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Longet D, Pawlowski J. Higher-level phylogeny of Foraminifera inferred from the RNA polymerase II (RPB1) gene. Eur J Protistol 2007; 43:171-7. [PMID: 17532615 DOI: 10.1016/j.ejop.2007.01.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2006] [Revised: 01/10/2007] [Accepted: 01/25/2007] [Indexed: 11/26/2022]
Abstract
Macroevolutionary relations among main lineages of Foraminifera have traditionally been inferred from the small subunit ribosomal genes (SSU rDNA). However, important discrepancies in the rates of SSU rDNA evolution between major lineages led to difficulties in accurate interpretation of SSU-based phylogenetic reconstructions. Recently, actin and beta-tubulin sequences have been used as alternative markers of foraminiferal phylogeny and their analyses globally confirm results obtained with SSU rDNA. In order to test new protein markers, we sequenced a fragment of the largest subunit of the RNA polymerase II (RPB1), a nuclear encoded single copy gene, for 8 foraminiferal species representing major orders of Foraminifera. Analyses of our data robustly confirm previous SSU rDNA and actin phylogenies and show (i) the paraphyly and ancestral position of monothalamid Foraminifera; (ii) the independent origin of miliolids; (iii) the monophyly of rotaliids, including buliminids and globigerinids; and (iv) the polyphyly of planktonic families Globigerinidae and Candeinidae. Additionally, the RPB1 phylogeny suggests Allogromiidae as the most ancestral foraminiferal lineage. In the light of our study, RPB1 appears as a valuable phylogenetic marker, particularly useful for groups of protists showing extreme variations of evolutionary rates in ribosomal genes.
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Affiliation(s)
- David Longet
- Department of Zoology and Animal Biology, University of Geneva, Sciences III, 30, Quai Ernest Ansermet, 1211 Geneva 4, Switzerland.
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38
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Abstract
Eukaryotes are traditionally considered to be one of the three natural divisions of the tree of life and the sister group of the Archaebacteria. However, eukaryotic genomes are replete with genes of eubacterial ancestry, and more than 20 mutually incompatible hypotheses have been proposed to account for eukaryote origins. Here we test the predictions of these hypotheses using a novel supertree-based phylogenetic signal-stripping method, and recover supertrees of life based on phylogenies for up to 5,741 single gene families distributed across 185 genomes. Using our signal-stripping method, we show that there are three distinct phylogenetic signals in eukaryotic genomes. In order of strength, these link eukaryotes with the Cyanobacteria, the Proteobacteria, and the Thermoplasmatales, an archaebacterial (euryarchaeotes) group. These signals correspond to distinct symbiotic partners involved in eukaryote evolution: plastids, mitochondria, and the elusive host lineage. According to our whole-genome data, eukaryotes are hardly the sister group of the Archaebacteria, because up to 83% of eukaryotic genes with a prokaryotic homolog have eubacterial, not archaebacterial, origins. The results reject all but two of the current hypotheses for the origin of eukaryotes: those assuming a sulfur-dependent or hydrogen-dependent syntrophy for the origin of mitochondria.
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Affiliation(s)
- Davide Pisani
- Department of Biology, The National University of Ireland, Maynooth, Maynooth, County Kildare, Ireland, UK
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39
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Palenik B, Grimwood J, Aerts A, Rouzé P, Salamov A, Putnam N, Dupont C, Jorgensen R, Derelle E, Rombauts S, Zhou K, Otillar R, Merchant SS, Podell S, Gaasterland T, Napoli C, Gendler K, Manuell A, Tai V, Vallon O, Piganeau G, Jancek S, Heijde M, Jabbari K, Bowler C, Lohr M, Robbens S, Werner G, Dubchak I, Pazour GJ, Ren Q, Paulsen I, Delwiche C, Schmutz J, Rokhsar D, Van de Peer Y, Moreau H, Grigoriev IV. The tiny eukaryote Ostreococcus provides genomic insights into the paradox of plankton speciation. Proc Natl Acad Sci U S A 2007; 104:7705-10. [PMID: 17460045 PMCID: PMC1863510 DOI: 10.1073/pnas.0611046104] [Citation(s) in RCA: 417] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The smallest known eukaryotes, at approximately 1-mum diameter, are Ostreococcus tauri and related species of marine phytoplankton. The genome of Ostreococcus lucimarinus has been completed and compared with that of O. tauri. This comparison reveals surprising differences across orthologous chromosomes in the two species from highly syntenic chromosomes in most cases to chromosomes with almost no similarity. Species divergence in these phytoplankton is occurring through multiple mechanisms acting differently on different chromosomes and likely including acquisition of new genes through horizontal gene transfer. We speculate that this latter process may be involved in altering the cell-surface characteristics of each species. In addition, the genome of O. lucimarinus provides insights into the unique metal metabolism of these organisms, which are predicted to have a large number of selenocysteine-containing proteins. Selenoenzymes are more catalytically active than similar enzymes lacking selenium, and thus the cell may require less of that protein. As reported here, selenoenzymes, novel fusion proteins, and loss of some major protein families including ones associated with chromatin are likely important adaptations for achieving a small cell size.
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Affiliation(s)
- Brian Palenik
- Scripps Institution of Oceanography, University of California at San Diego, La Jolla, CA 92093-0202
- To whom correspondence may be addressed. E-mail: or
| | - Jane Grimwood
- Joint Genome Institute and Stanford Human Genome Center, Stanford University School of Medicine, 975 California Avenue, Palo Alto, CA 94304
| | - Andrea Aerts
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Pierre Rouzé
- Laboratoire Associé de l'Institut National de la Recherche Agronomique (France), Ghent University, Technologiepark 927, B-9052 Ghent, Belgium
| | - Asaf Salamov
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Nicholas Putnam
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Chris Dupont
- Scripps Institution of Oceanography, University of California at San Diego, La Jolla, CA 92093-0202
| | - Richard Jorgensen
- Department of Plant Sciences, University of Arizona, 303 Forbes Building, Tucson, AZ 85721-0036
| | - Evelyne Derelle
- Observatoire Océanologique, Laboratoire Arago, Centre National de la Recherche Scientifique/Université Pierre et Marie Curie Paris 6, Unité Mixte de Recherche 7628, BP 44, 66651 Banyuls sur Mer Cedex, France
| | - Stephane Rombauts
- Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology, Ghent University, Technologiepark 927, B-9052 Ghent, Belgium
| | - Kemin Zhou
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Robert Otillar
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Sabeeha S. Merchant
- Department of Chemistry and Biochemistry, University of California, Box 951569, Los Angeles, CA 90095
| | - Sheila Podell
- Scripps Genome Center, Scripps Institution of Oceanography, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0202
| | - Terry Gaasterland
- Scripps Genome Center, Scripps Institution of Oceanography, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0202
| | - Carolyn Napoli
- Department of Plant Sciences, University of Arizona, 303 Forbes Building, Tucson, AZ 85721-0036
| | - Karla Gendler
- Department of Plant Sciences, University of Arizona, 303 Forbes Building, Tucson, AZ 85721-0036
| | - Andrea Manuell
- Department of Cell Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037
| | - Vera Tai
- Scripps Institution of Oceanography, University of California at San Diego, La Jolla, CA 92093-0202
| | - Olivier Vallon
- Institut de Biologie Physico-Chimique, Centre National de la Recherche Scientifique/Université Paris 6, Unité Mixte de Recherche 7141, 13, Rue Pierre et Marie Curie, 75005 Paris, France
| | - Gwenael Piganeau
- Observatoire Océanologique, Laboratoire Arago, Centre National de la Recherche Scientifique/Université Pierre et Marie Curie Paris 6, Unité Mixte de Recherche 7628, BP 44, 66651 Banyuls sur Mer Cedex, France
| | - Séverine Jancek
- Observatoire Océanologique, Laboratoire Arago, Centre National de la Recherche Scientifique/Université Pierre et Marie Curie Paris 6, Unité Mixte de Recherche 7628, BP 44, 66651 Banyuls sur Mer Cedex, France
| | - Marc Heijde
- Département de Biologie, Ecole Normale Supérieure, Formation de Recherche en Evolution 2910, Centre National de la Recherche Scientifique, 46, Rue D'Ulm, 75230 Paris Cedex 05, France
| | - Kamel Jabbari
- Département de Biologie, Ecole Normale Supérieure, Formation de Recherche en Evolution 2910, Centre National de la Recherche Scientifique, 46, Rue D'Ulm, 75230 Paris Cedex 05, France
| | - Chris Bowler
- Département de Biologie, Ecole Normale Supérieure, Formation de Recherche en Evolution 2910, Centre National de la Recherche Scientifique, 46, Rue D'Ulm, 75230 Paris Cedex 05, France
| | - Martin Lohr
- Institut für Allgemeine Botanik, Johannes Gutenberg-Universität, D-55099 Mainz, Germany
| | - Steven Robbens
- Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology, Ghent University, Technologiepark 927, B-9052 Ghent, Belgium
| | - Gregory Werner
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Inna Dubchak
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Gregory J. Pazour
- Program in Molecular Medicine, University of Massachusetts Medical School, Suite 213, Biotech II, 373 Plantation Street, Worcester, MA 01605
| | - Qinghu Ren
- The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850; and
| | - Ian Paulsen
- The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850; and
| | - Chuck Delwiche
- Cell Biology and Molecular Genetics, University of Maryland, H. J. Patterson Hall, Building 073, College Park, MD 20742-5815
| | - Jeremy Schmutz
- Joint Genome Institute and Stanford Human Genome Center, Stanford University School of Medicine, 975 California Avenue, Palo Alto, CA 94304
| | - Daniel Rokhsar
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
| | - Yves Van de Peer
- Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology, Ghent University, Technologiepark 927, B-9052 Ghent, Belgium
| | - Hervé Moreau
- Observatoire Océanologique, Laboratoire Arago, Centre National de la Recherche Scientifique/Université Pierre et Marie Curie Paris 6, Unité Mixte de Recherche 7628, BP 44, 66651 Banyuls sur Mer Cedex, France
| | - Igor V. Grigoriev
- U.S. Department of Energy Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598
- To whom correspondence may be addressed. E-mail: or
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40
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Abstract
The use of an oxyphobic index (OI) based on the propensity of amino acids to enter more frequently the proteins of anaerobes makes it possible to make inferences on the environment in which the last universal common ancestor (LUCA) lived. The reconstruction of the ancestral sequences of proteins using a method based on maximum likelihood and their attribution by means of the OI to the set of aerobe or anaerobe sequences has led to the following conclusions: the LUCA was an anaerobic 'organism', as were the ancestors of Archaea and Bacteria, whereas the ancestor of Eukarya was an aerobe. These observations seem to falsify the hypothesis that the LUCA was an aerobe and help to identify better the environment in which the first organisms lived.
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Affiliation(s)
- M Di Giulio
- Laboratory of Molecular Evolution, Institute of Genetics and Biophysics Adriano Buzzati Traverso, CNR, Naples, Napoli, Italy.
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41
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Abstract
It is desirable to estimate a tree of life, a species tree including all available species in the 3 superkingdoms, Archaea, Bacteria, and Eukaryota, using not a limited number of genes but full-scale genome information. Here, we report a new method for constructing a tree of life based on protein domain organizations, that is, sequential order of domains in a protein, of all proteins detected in a genome of an organism. The new method is free from the identification of orthologous gene sets and therefore does not require the burdensome and error-prone computation. By pairwise comparisons of the repertoires of protein domain organizations of 17 archaeal, 136 bacterial, and 14 eukaryotic organisms, we computed evolutionary distances among them and constructed a tree of life. Our tree shows monophyly in Archaea, Bacteria, and Eukaryota and then monophyly in each of eukaryotic kingdoms and in most bacterial phyla. In addition, the branching pattern of the bacterial phyla in our tree is consistent with the widely accepted bacterial taxonomy and is very close to other genome-based trees. A couple of inconsistent aspects between the traditional trees and the genome-based trees including ours, however, would perhaps urge to revise the conventional view, particularly on the phylogenetic positions of hyperthermophiles.
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Affiliation(s)
- Kaoru Fukami-Kobayashi
- RIKEN BioResource Center, RIKEN Tsukuba Institute, University of Tsukuba, Tsukuba, Ibaraki, Japan.
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42
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Aguilera A, Souza-Egipsy V, Gómez F, Amils R. Development and structure of eukaryotic biofilms in an extreme acidic environment, rio tinto (SW, Spain). Microb Ecol 2007; 53:294-305. [PMID: 17268880 DOI: 10.1007/s00248-006-9092-2] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2006] [Accepted: 04/08/2006] [Indexed: 05/13/2023]
Abstract
An in situ colonization assay was performed to study the early stages of biofilm formation in Rio Tinto (SW, Spain), an extremely acidic environment (pH ca. 2). Eukaryotic assemblages were monitored at monthly intervals for 1 year. Diversity, colonization rates, and seasonal variations were analyzed. Structural features of naturally grown biofilms were explored by light and scanning electron microscopy in backscattered electron mode. A total of 14 taxa were recognized as constituents of the eukaryotic assemblages. The eukaryotic communities were dissimilar at the different sampling sites. The lowest diversity was found at the most extreme locations, in terms of pH and heavy metal concentrations. The biofilms were mainly formed by species from the genera Dunaliella and Cyanidium. Two genera of filamentous algae, Zygnemopsis and Klebsormidium, were principally responsible for the variability in the cell number throughout the year. These species appear in June to decrease almost completely between October and November. In contrast, the number of heterotrophic flagellates and ciliates remained constant throughout the year. The microcolonization sequence showed an initial accumulation of amorphous particles composed of bacteria and inorganic grains of minerals. By the end of the second month, the organic matrix was also populated by fungi, bacteria, and a few eukaryotic heterotrophs such as amoebae and small flagellates. Diatoms only showed significant colonization in regions where mycelial matrices were first established. Flagellated green algae such as Dunaliella or Chlamydomonas as well as Euglena were also present at the very beginning of the biofilm development, although in low numbers (<100 cells cm(-2)). After the flagellated cells, sessile species of algae such Chlorella or Cyanidium appeared. Filamentous algae were the last species to colonize the biofilms. Most of the naturally grown biofilms were found to be structures composed of different species organized in different layers separated, probably by extracellular polymeric substances, although more analysis should be done in this regard. The possible implications of the biofilm structure in the adaptation to this extreme habitat are discussed.
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Affiliation(s)
- Angeles Aguilera
- Centro de Astrobiologia, Instituto Nacional de Técnica Aeroespacial, Carretera de Ajalvir Km 4, 28850 Torrejón de Ardoz, Madrid, Spain.
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43
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Abstract
Lost City is a unique off-axis hydrothermal vent field characterized by highly alkaline and relatively low-temperature fluids that harbours huge carbonate chimneys. We have carried out a molecular survey based on 18S rDNA sequences of the eukaryotic communities associated with fluid-seawater interfaces and with carbonates from venting areas and the chimney wall. Our study reveals a variety of lineages belonging to eight major taxa: Metazoa, Fungi, Heterokonta (Stramenopiles), Alveolata, Radiolaria, Cercozoa, Heterolobosea and Euglenozoa. We detected one fungal lineage that appears to be widespread in hydrothermal systems both submarine and continental. Alveolates were the most abundant and diverse group in Lost City samples, although their distribution was very different in carbonate, where ciliates dominated, and in fluid-seawater libraries, where dinoflagellates, Group I and Group II (Syndiniales) marine alveolates were profuse. Similarly, Euglenozoa also displayed a differential distribution, kinetoplastids being present on carbonates and a novel group of diplonemids so far exclusively observed in the deep sea being dominant in fluid-seawater libraries. Protist lineages identified in this ecosystem likely correspond to grazers, decomposers and parasites, playing key roles in the food web of the Lost City ecosystem.
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Affiliation(s)
- Purificación López-García
- Unité d'Ecologie, Systématique et Evolution, UMR CNRS 8079, Université Paris-Sud, bâtiment 360, 91405 Orsay Cedex, France
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44
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Abstract
Euglenids comprise a group of single-celled eukaryotes with diverse modes of nutrition, including phagotrophy and photosynthesis. The level of morphological diversity present in this group provides an excellent system for demonstrating evolutionary transformations in morphological characters. This diversity also provides compelling evidence for major events in eukaryote evolution, such as the punctuated effects of secondary endosymbiosis and mutations in underlying developmental mechanisms. In this essay, we synthesize evidence for the origin, adaptive significance and diversification of the euglenid cytoskeleton, especially pellicle ultrastructure, pellicle surface patterns, pellicle strip number and the feeding apparatus. We also highlight holes in our knowledge that must be filled before we are able to confidently describe euglenid cell biology and infer the earliest stages in euglenid evolution. Nonetheless, by possessing combinations of characters resulting from adaptive change and morphostasis, euglenids have retained key pieces of evidence necessary for reconstructing the early evolution and diversification of eukaryotic life.
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Affiliation(s)
- Brian S Leander
- Canadian Institute for Advanced Research, Program in Integrated Microbial Biodiversity, Departments of Botany and Zoology, University of British Columbia, Vancouver, Canada.
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45
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Takishita K, Tsuchiya M, Kawato M, Oguri K, Kitazato H, Maruyama T. Genetic Diversity of Microbial Eukaryotes in Anoxic Sediment of the Saline Meromictic Lake Namako-ike (Japan): On the Detection of Anaerobic or Anoxic-tolerant Lineages of Eukaryotes. Protist 2007; 158:51-64. [PMID: 16952482 DOI: 10.1016/j.protis.2006.07.003] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2006] [Accepted: 07/09/2006] [Indexed: 11/20/2022]
Abstract
Available sequence data on eukaryotic small-subunit ribosomal DNA (SSU rDNA) directly retrieved from various environments have increased recently, and the diversity of microbial eukaryotes (protists) has been shown to be much greater than previously expected. However, the molecular information accumulated to date does still not thoroughly reveal ecological distribution patterns of microbial eukaryotes. In the ongoing challenge to detect anaerobic or anoxic-tolerant lineages of eukaryotes, we directly extracted DNA from the anoxic sediment of a saline meromictic lake, constructed genetic libraries of PCR-amplified SSU rDNA, and performed phylogenetic analyses with the cloned SSU rDNA sequences. Although a few sequences could not be confidently assigned to any major eukaryotic groups in the analyses and are debatable regarding their taxonomic positions, most sequences obtained have affiliations with known major lineages of eukaryotes (Cercozoa, Alveolata, Stramenopiles, and Opisthokonta). Among these sequences, some branched with lineages predominantly composed of uncultured environmental clones retrieved from other anoxic environments, while others were closely related to those of eukaryotic parasites (e.g. Phytomyxea of Cercozoa, Gregarinea of Alveolata, and Ichthyosporea of Opisthokonta).
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Affiliation(s)
- Kiyotaka Takishita
- Extremobiosphere Research Center, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Kanagawa 237-0061, Japan.
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46
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Jeon SO, Bunge J, Stoeck T, Barger KJA, Hong SH, Epstein SS. Synthetic statistical approach reveals a high degree of richness of microbial eukaryotes in an anoxic water column. Appl Environ Microbiol 2006; 72:6578-83. [PMID: 17021208 PMCID: PMC1610293 DOI: 10.1128/aem.00787-06] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Molecular surveys suggest that communities of microbial eukaryotes are remarkably rich, because even large clone libraries seem to capture only a minority of species. This provides a qualitative picture of protistan richness but does not measure its real extent either locally or globally. Statistical analysis can estimate a community's richness, but the specific methods used to date are not always well grounded in statistical theory. Here we study a large protistan molecular survey from an anoxic water column in the Cariaco Basin (Caribbean Sea). We group individual 18S rRNA gene sequences into operational taxonomic units (OTUs) using different cutoff values for sequence similarity (99 to 50%) and systematically apply parametric models and nonparametric estimators to the OTU frequency data to estimate the total protistan diversity. The parametric models provided statistically sound estimates of protistan richness, with biologically meaningful standard errors, maximal data usage, and extensive model diagnostics and were preferable to the available nonparametric tools. Our clone library exceeded 700 clones but still covered only a minority of species and less than half of the larger protistan clades. Our estimates of total protistan richness portray the target community as very rich at all OTU levels, with hundreds of different populations apparently co-occurring in the small (3-liter) volume of our sample, as well as dozens of clades of the highest taxonomic order. These estimates are among the first for microbial eukaryotes that are obtained using state-of-the-art statistical methods and can serve as benchmark numbers for the local diversity of protists.
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Affiliation(s)
- S-O Jeon
- Department of Biology, Northeastern University, Boston, MA 02115, USA
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47
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Parfrey LW, Barbero E, Lasser E, Dunthorn M, Bhattacharya D, Patterson DJ, Katz LA. Evaluating support for the current classification of eukaryotic diversity. PLoS Genet 2006; 2:e220. [PMID: 17194223 PMCID: PMC1713255 DOI: 10.1371/journal.pgen.0020220] [Citation(s) in RCA: 125] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2006] [Accepted: 11/09/2006] [Indexed: 11/19/2022] Open
Abstract
Perspectives on the classification of eukaryotic diversity have changed rapidly in recent years, as the four eukaryotic groups within the five-kingdom classification—plants, animals, fungi, and protists—have been transformed through numerous permutations into the current system of six “supergroups.” The intent of the supergroup classification system is to unite microbial and macroscopic eukaryotes based on phylogenetic inference. This supergroup approach is increasing in popularity in the literature and is appearing in introductory biology textbooks. We evaluate the stability and support for the current six-supergroup classification of eukaryotes based on molecular genealogies. We assess three aspects of each supergroup: (1) the stability of its taxonomy, (2) the support for monophyly (single evolutionary origin) in molecular analyses targeting a supergroup, and (3) the support for monophyly when a supergroup is included as an out-group in phylogenetic studies targeting other taxa. Our analysis demonstrates that supergroup taxonomies are unstable and that support for groups varies tremendously, indicating that the current classification scheme of eukaryotes is likely premature. We highlight several trends contributing to the instability and discuss the requirements for establishing robust clades within the eukaryotic tree of life. Evolutionary perspectives, including the classification of living organisms, provide the unifying scaffold on which biological knowledge is assembled. Researchers in many areas of biology use evolutionary classifications (taxonomy) in many ways, including as a means for interpreting the origin of evolutionary innovations, as a framework for comparative genetics/genomics, and as the basis for drawing broad conclusions about the diversity of living organisms. Thus, it is essential that taxonomy be robust. Here the authors evaluate the stability of and support for the current classification system of eukaryotic cells (cells with nuclei) in which eukaryotes are divided into six kingdom level categories, or supergroups. These six supergroups unite diverse microbial and macrobial eukaryotic lineages, including the well-known groups of plants, animals, and fungi. The authors assess the stability of supergroup classifications through time and reveal a rapidly changing taxonomic landscape that is difficult to navigate for the specialist and generalist alike. Additionally, the authors find variable support for each of the supergroups in published analyses based on DNA sequence variation. The support for supergroups differs according to the taxonomic area under study and the origin of the genes (e.g., nuclear, plastid) used in the analysis. Encouragingly, combining a conservative approach to taxonomy with increased sampling of microbial eukaryotes and the use of multiple types of data is likely to produce a robust scaffold for the eukaryotic tree of life.
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Affiliation(s)
- Laura Wegener Parfrey
- Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Erika Barbero
- Department of Biological Sciences, Smith College, Northampton, Massachusetts, United States of America
| | - Elyse Lasser
- Department of Biological Sciences, Smith College, Northampton, Massachusetts, United States of America
| | - Micah Dunthorn
- Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, Massachusetts, United States of America
| | - Debashish Bhattacharya
- Department of Biological Sciences, University of Iowa, Iowa City, Iowa, United States of America
- Roy J. Carver Center for Comparative Genomics, University of Iowa, Iowa City, Iowa, United States of America
| | - David J Patterson
- Bay Paul Center for Genomics, Marine Biological Laboratory, Woods Hole, Massachusetts, United States of America
| | - Laura A Katz
- Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, Massachusetts, United States of America
- Department of Biological Sciences, Smith College, Northampton, Massachusetts, United States of America
- To whom correspondence should be addressed. E-mail:
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48
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Abstract
Recent attempts to establish a molecular time-scale of eukaryote evolution failed to provide a congruent view on the timing of the origin and early diversification of eukaryotes. The major discrepancies in molecular time estimates are related to questions concerning the calibration of the tree. To limit these uncertainties, we used here as a source of calibration points the rich and continuous microfossil record of dinoflagellates, diatoms and coccolithophorids. We calibrated a small-subunit ribosomal RNA tree of eukaryotes with four maximum and 22 minimum time constraints. Using these multiple calibration points in a Bayesian relaxed molecular clock framework, we inferred that the early radiation of eukaryotes occurred near the Mesoproterozoic-Neoproterozoic boundary, about 1100 million years ago. Our results indicate that most Proterozoic fossils of possible eukaryotic origin cannot be confidently assigned to extant lineages and should therefore not be used as calibration points in molecular dating.
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49
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Löhr AJ, Laverman AM, Braster M, van Straalen NM, Röling WFM. Microbial communities in the world's largest acidic volcanic lake, Kawah Ijen in Indonesia, and in the Banyupahit river originating from it. Microb Ecol 2006; 52:609-18. [PMID: 17033856 DOI: 10.1007/s00248-006-9068-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2005] [Accepted: 01/05/2006] [Indexed: 05/12/2023]
Abstract
A first study was made on the microbial community composition of the Indonesian crater lake Kawah Ijen (pH < 0.3) and the Banyupahit-Banyuputih river (pH 0.4-3.5) originating from it. Culture-independent, rRNA gene-based denaturing gradient gel electrophoresis was used to profile microbial communities in this natural and ancient, extremely acidic environment. Similarity in community profiles of the different sampling locations was low, indicating heterogeneity in community composition. Archaea were present at all sampling locations; archaeal diversity was low at the most acidic locations and increased at pH >2.6. Bacteria were not detected in the water column of the crater lake, but were found at all locations along the acidic river. Bacterial diversity increased with increasing pH. Eukarya were only present at pH >2.6. Retrieved rRNA gene sequences of Bacteria and Archaea were not closely related to known acidophilic species. It is concluded that tolerance to extreme acidity in this system is developed most extensively among Archaea. The acidity gradient of the Banyupahit-Banyuputih river has a clear effect on microbial community composition and biodiversity.
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Affiliation(s)
- Ansje J Löhr
- Department of Animal Ecology, Institute of Ecological Science, Faculty of Earth and Life Sciences, Vrije Universiteit, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
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50
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Richards TA, Dacks JB, Jenkinson JM, Thornton CR, Talbot NJ. Evolution of filamentous plant pathogens: gene exchange across eukaryotic kingdoms. Curr Biol 2006; 16:1857-64. [PMID: 16979565 DOI: 10.1016/j.cub.2006.07.052] [Citation(s) in RCA: 178] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2006] [Revised: 07/04/2006] [Accepted: 07/18/2006] [Indexed: 11/17/2022]
Abstract
Filamentous fungi and oomycetes are eukaryotic microorganisms that grow by producing networks of thread-like hyphae, which secrete enzymes to break down complex nutrients, such as wood and plant material, and recover the resulting simple sugars and amino acids by osmotrophy. These organisms are extremely similar in both appearance and lifestyle and include some of the most economically important plant pathogens . However, the morphological similarity of fungi and oomycetes is misleading because they represent some of the most distantly related eukaryote evolutionary groupings, and their shared osmotrophic growth habit is interpreted as being the result of convergent evolution . The fungi branch with the animals, whereas the oomycetes branch with photosynthetic algae as part of the Chromalveolata . In this report, we provide strong phylogenetic evidence that multiple horizontal gene transfers (HGT) have occurred from filamentous ascomycete fungi to the distantly related oomycetes. We also present evidence that a subset of the associated gene families was initially the product of prokaryote-to-fungi HGT. The predicted functions of the gene products associated with fungi-to-oomycete HGT suggest that this process has played a significant role in the evolution of the osmotrophic, filamentous lifestyle on two separate branches of the eukaryote tree.
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Affiliation(s)
- Thomas A Richards
- School of Biosciences, University of Exeter, Geoffrey Pope Building, Exeter EX4 4QD, United Kingdom
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