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Chen Y, Xiong Q, Dai Q, Liu G. Six Newly Sequenced Chloroplast Genomes From Quadriflagellate Chlamydomonadales (Chlorophyceae): Phylogeny and Comparative Genome Analyses. Genome Biol Evol 2025; 17:evaf074. [PMID: 40247659 PMCID: PMC12042916 DOI: 10.1093/gbe/evaf074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2025] [Revised: 04/05/2025] [Accepted: 04/08/2025] [Indexed: 04/19/2025] Open
Abstract
Several quadriflagellate genera were revealed as the members of deep branches in Chlamydomonadales. However, the phylogenetic relationships among these quadriflagellate genera remained unresolved, and little information is known about the chloroplast genome structure for the chlamydomonadalean early-diverging lineages due to the limited data. In this study, we conducted phylogenetic and comparative genomic analyses with 6 newly sequenced quadriflagellate chlamydomonadalean chloroplast genomes. Four phylogenetic inferences based on different datasets recovered the robust topology, with Staurocarteria-Hafniomonas as the earliest-diverging lineage, followed by Corbierea within Chlamydomonadales and Spermatozopsis included in Sphaeropleales. The amino acid dataset combined with the site-heterogeneous model received the highest support for key nodes and may better fit the inferences of the deep relationships in Chlamydomonadales. Moreover, Sp. similis chloroplast genome is also more structurally similar to its close relatives than to other quadriflagellate chlamydomonadaleans. Phylogeny and genome structure features both indicated the taxonomic position of Spermatozopsis should be reconsidered. The loss of large inverted repeats (IRs) was first reported in chlamydomonadaleans (Co. pseudopalmata), and may occur at least 4 times in Chlamydomonadales. Comparative genome analyses demonstrated the highly divergent large IRs and a high level of rearrangements across the entire genome. IR expansions/contractions and inversions contribute to changes in gene content and gene order in this region. This study provides a foundation for future research on the phylogenetic relationships as well as chloroplast genomic features and evolution of the entire Chlamydomonadales.
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Affiliation(s)
- Yangliang Chen
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Qian Xiong
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Qingyu Dai
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Guoxiang Liu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
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2
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Wang T, Feng H, Zhu H, Zhong B. Molecular phylogeny and comparative chloroplast genome analysis of the type species Crucigenia quadrata. BMC PLANT BIOLOGY 2025; 25:64. [PMID: 39815182 PMCID: PMC11737255 DOI: 10.1186/s12870-025-06070-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Accepted: 01/06/2025] [Indexed: 01/18/2025]
Abstract
BACKGROUND The confused taxonomic classification of Crucigenia is mainly inferred through morphological evidence and few nuclear genes and chloroplast genomic fragments. The phylogenetic status of C. quadrata, as the type species of Crucigenia, remains considerably controversial. Additionally, there are currently no reports on the chloroplast genome of Crucigenia. RESULTS In this study, we utilize molecular phylogenetics and comparative genomics to show that C. quadrata belongs to Chlorophyceae rather than Trebouxiophyceae. The Bayesian and maximum likelihood (ML) phylogenetic trees support a monophyletic group of C. quadrata and Scenedesmaceae (Chlorophyceae) species. Our study presents the first complete chloroplast genome of C. quadrata, which is 197,184 bp in length and has a GC content of 31%. It has a typical quadripartite structure, and the chloroplast genome codons exhibit usage bias. Nucleotide diversity analysis highlights six genes (ccsA, psbF, chlN, cemA, rps3, rps18) as hotspots for genetic variation. Coding gene sequence divergence analyses indicate that four genes (cemA, clpP, psaA, rps3) are subject to positive selection. CONCLUSIONS The determination of the phylogenetic status and the comparative chloroplast genomic analyses of C. quadrata will not only be useful in enhancing our understanding of the intricacy of Crucigenia taxonomy but also provide the important basis for studying the evolution of the incertae sedis taxa within Trebouxiophyceae.
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Affiliation(s)
- Ting Wang
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Huan Feng
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Huan Zhu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Bojian Zhong
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
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3
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Fang J, Zheng L, Liu G, Zhu H. Comparative Analysis of Chloroplast Genomes in Cephaleuros and Its Related Genus ( Trentepohlia): Insights into Adaptive Evolution. Genes (Basel) 2024; 15:839. [PMID: 39062618 PMCID: PMC11275322 DOI: 10.3390/genes15070839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 06/22/2024] [Accepted: 06/25/2024] [Indexed: 07/28/2024] Open
Abstract
Cephaleuros species are well-known as plant pathogens that cause red rust or algae spot diseases in many economically cultivated plants that grow in shady and humid environments. Despite their prevalence, the adaptive evolution of these pathogens remains poorly understood. We sequenced and characterized three Cephaleuros (Cephaleuros lagerheimii, Cephaleuros diffusus, and Cephaleuros virescens) chloroplast genomes, and compared them with seven previously reported chloroplast genomes. The chloroplast sequences of C. lagerheimii, C. diffusus, and C. virescens were 480,613 bp, 383,846 bp, and 472,444 bp in length, respectively. These chloroplast genomes encoded 94 genes, including 27 tRNA genes, 3 rRNA genes, and 64 protein-coding genes. Comparative analysis uncovered that the variation in genome size was principally due to the length of intergenic spacer sequences, followed by introns. Furthermore, several highly variable regions (trnY-GTA, trnL-TAG, petA, psbT, trnD-GTC, trnL-TAA, ccsA, petG, psaA, psaB, rps11, rps2, and rps14) were identified. Codon bias analysis revealed that the codon usage pattern of Cephaleuros is predominantly shaped by natural selection. Additionally, six chloroplast protein-coding genes (atpF, chlN, psaA, psaB, psbA, and rbcL) were determined to be under positive selection, suggesting they may play a vital roles in the adaptation of Cephaleuros to low-light intensity habitats.
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Affiliation(s)
- Jiao Fang
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan 430056, China;
| | - Lingling Zheng
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (L.Z.); (G.L.)
| | - Guoxiang Liu
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (L.Z.); (G.L.)
| | - Huan Zhu
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (L.Z.); (G.L.)
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Patané JSL, Martins J, Setubal JC. A Guide to Phylogenomic Inference. Methods Mol Biol 2024; 2802:267-345. [PMID: 38819564 DOI: 10.1007/978-1-0716-3838-5_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Phylogenomics aims at reconstructing the evolutionary histories of organisms taking into account whole genomes or large fractions of genomes. Phylogenomics has significant applications in fields such as evolutionary biology, systematics, comparative genomics, and conservation genetics, providing valuable insights into the origins and relationships of species and contributing to our understanding of biological diversity and evolution. This chapter surveys phylogenetic concepts and methods aimed at both gene tree and species tree reconstruction while also addressing common pitfalls, providing references to relevant computer programs. A practical phylogenomic analysis example including bacterial genomes is presented at the end of the chapter.
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Affiliation(s)
- José S L Patané
- Laboratório de Genética e Cardiologia Molecular, Instituto do Coração/Heart Institute Hospital das Clínicas - Faculdade de Medicina da Universidade de São Paulo São Paulo, São Paulo, SP, Brazil
| | - Joaquim Martins
- Integrative Omics group, Biorenewables National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, SP, Brazil
| | - João Carlos Setubal
- Departmento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, SP, Brazil.
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Liu BW, Li SY, Yan QF, Zhu H, Liu GX. Seven newly sequenced chloroplast genomes from the order Watanabeales (Trebouxiophyceae, Chlorophyta): Phylogenetic and comparative analysis. Gene 2023; 863:147287. [PMID: 36804852 DOI: 10.1016/j.gene.2023.147287] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/21/2022] [Accepted: 02/13/2023] [Indexed: 02/18/2023]
Abstract
The little-known order Watanabeales currently includes 10 genera with Chlorella-like species that reproduce by unequal-sized autospores and are predominantly solitary or terrestrial. The taxonomic scheme of Watanabeales has only been primarily inferred by short and less informative rDNA phylogenetic analysis. In the present study, seven newly sequenced genomes and one reported chloroplast genome representing the existing major branches of Watanabeales were harvested to phylogenetically reconstruct this order and to further understand its evolution. All chloroplast genomes of Watanabeales ranging from 133 to 274 kb were circular mapping and lacked a quadripartite structure. The chloroplast genome size, GC content, number of introns, and length of intergenic region proportion of the Watanabeales showed consistent trends, with Calidiella yingdensis D201 and Kalinella pachyderma 2601 having the lowest and highest values, respectively, echoing the positive correlation between organismal size and genome size. Phylogenetic analysis of Watanabeales based on 76 protein-coding genes coupled with the establishment of various complex analytical methods determined the unique robust taxonomic scheme which was incongruent with rDNA. Comparative genomic analyses revealed that the chloroplast genomes of Watanabeales accounted for numerous complex rearrangements and inversions which indicated high cryptic diversity. Substitution rate estimation indicated that the chloroplast genomes of Watanabeales were under purifying selection and similar evolutionary pressure and supported the view that genus Symbiochloris should be excluded from Watanabeales. Our results enrich the chloroplast genome resources of Watanabeales, clarify the phylogenetic status of species within this order, and provide more reference information for subsequent taxonomic and phylogenetic study.
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Affiliation(s)
- Ben-Wen Liu
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Shu-Yin Li
- Yangtze River Basin Ecological Environment Monitoring and Scientific Research Center, Yangtze River Basin Ecological Environment Supervision and Administration Bureau, Ministry of Ecological Environment, Wuhan 430072, China
| | - Qiu-Feng Yan
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Huan Zhu
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Guo-Xiang Liu
- Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
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6
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Miardan MM, Jamshidpey A, Sankoff D. Escape from Parsimony of a Double-Cut-and-Join Genome Evolution Process. J Comput Biol 2023; 30:118-130. [PMID: 36595359 DOI: 10.1089/cmb.2021.0468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
We analyze models of genome evolution based on both restricted and unrestricted double-cut-and-join (DCJ) operations. Not only do our models allow different types of operations generated by DCJs (including reversals, translocations, transpositions, fissions, and fusions) to take different weights during the course of evolution, but they also let these weights fluctuate over time. We compare the number of operations along the evolutionary trajectory with the DCJ distance of the genome from its ancestor at each step, and determine at what point they diverge: the process escapes from parsimony. Adapting the method developed by Berestycki and Durrett, we approximate the number of cycles in the breakpoint graph of a random genome at time t and its ancestral genome by the number of tree components in a random graph (not necessarily an Erdös-Rényi one) constructed from the model of evolution. In both models, the process on a genome of size n is bound to its parsimonious estimate up to t≈n∕2 steps.
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Affiliation(s)
| | - Arash Jamshidpey
- Department of Mathematics, Columbia University, New York, New York, USA
| | - David Sankoff
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Canada
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Larkin AA, Hagstrom GI, Brock ML, Garcia NS, Martiny AC. Basin-scale biogeography of Prochlorococcus and SAR11 ecotype replication. THE ISME JOURNAL 2023; 17:185-194. [PMID: 36273241 PMCID: PMC9589681 DOI: 10.1038/s41396-022-01332-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 10/03/2022] [Accepted: 10/06/2022] [Indexed: 11/13/2022]
Abstract
Establishing links between microbial diversity and environmental processes requires resolving the high degree of functional variation among closely related lineages or ecotypes. Here, we implement and validate an improved metagenomic approach that estimates the spatial biogeography and environmental regulation of ecotype-specific replication patterns (RObs) across ocean regions. A total of 719 metagenomes were analyzed from meridional Bio-GO-SHIP sections in the Atlantic and Indian Ocean. Accounting for sequencing bias and anchoring replication estimates in genome structure were critical for identifying physiologically relevant biological signals. For example, ecotypes within the dominant marine cyanobacteria Prochlorococcus exhibited distinct diel cycles in RObs that peaked between 19:00-22:00. Additionally, both Prochlorococcus ecotypes and ecotypes within the highly abundant heterotroph Pelagibacter (SAR11) demonstrated systematic biogeographies in RObs that differed from spatial patterns in relative abundance. Finally, RObs was significantly regulated by nutrient stress and temperature, and explained by differences in the genomic potential for nutrient transport, energy production, cell wall structure, and replication. Our results suggest that our new approach to estimating replication is reflective of gross population growth. Moreover, this work reveals that the interaction between adaptation and environmental change drives systematic variability in replication patterns across ocean basins that is ecotype-specific, adding an activity-based dimension to our understanding of microbial niche space.
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Affiliation(s)
- Alyse A Larkin
- Department of Earth System Science, University of California, Irvine, CA, USA
| | - George I Hagstrom
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Melissa L Brock
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA
| | - Nathan S Garcia
- Department of Earth System Science, University of California, Irvine, CA, USA
| | - Adam C Martiny
- Department of Earth System Science, University of California, Irvine, CA, USA.
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
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8
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Habib S, Dong S, Liu Y, Liao W, Zhang S. The complete mitochondrial genome of Cycas debaoensis revealed unexpected static evolution in gymnosperm species. PLoS One 2021; 16:e0255091. [PMID: 34293066 PMCID: PMC8297867 DOI: 10.1371/journal.pone.0255091] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/11/2021] [Indexed: 11/18/2022] Open
Abstract
Mitochondrial genomes of vascular plants are well known for their liability in architecture evolution. However, the evolutionary features of mitogenomes at intra-generic level are seldom studied in vascular plants, especially among gymnosperms. Here we present the complete mitogenome of Cycas debaoensis, an endemic cycad species to the Guangxi region in southern China. In addition to assemblage of draft mitochondrial genome, we test the conservation of gene content and mitogenomic stability by comparing it to the previously published mitogenome of Cycas taitungensis. Furthermore, we explored the factors such as structural rearrangements and nuclear surveillance of double-strand break repair (DSBR) proteins in Cycas in comparison to other vascular plant groups. The C. debaoensis mitogenome is 413,715 bp in size and encodes 69 unique genes, including 40 protein coding genes, 26 tRNAs, and 3 rRNA genes, similar to that of C. taitungensis. Cycas mitogenomes maintained the ancestral intron content of seed plants (26 introns), which is reduced in other lineages of gymnosperms, such as Ginkgo biloba, Taxus cuspidata and Welwitschia mirabilis due to selective pressure or retroprocessing events. C. debaoensis mitogenome holds 1,569 repeated sequences (> 50 bp), which partially account for fairly large intron size (1200 bp in average) of Cycas mitogenome. The comparison of RNA-editing sites revealed 267 shared non-silent editing site among predicted vs. empirically observed editing events. Another 33 silent editing sites from empirical data increase the total number of editing sites in Cycas debaoensis mitochondrial protein coding genes to 300. Our study revealed unexpected conserved evolution between the two Cycas species. Furthermore, we found strict collinearity of the gene order along with the identical set of genomic content in Cycas mt genomes. The stability of Cycas mt genomes is surprising despite the existence of large number of repeats. This structural stability may be related to the relative expansion of three DSBR protein families (i.e., RecA, OSB, and RecG) in Cycas nuclear genome, which inhibit the homologous recombinations, by monitoring the accuracy of mitochondrial chromosome repair.
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Affiliation(s)
- Sadaf Habib
- School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
| | - Shanshan Dong
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
| | - Yang Liu
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
| | - Wenbo Liao
- School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Shouzhou Zhang
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
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9
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Russell S, Jackson C, Reyes-Prieto A. High Sequence Divergence but Limited Architectural Rearrangements in Organelle Genomes of Cyanophora (Glaucophyta) Species. J Eukaryot Microbiol 2020; 68:e12831. [PMID: 33142007 DOI: 10.1111/jeu.12831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/16/2020] [Accepted: 10/27/2020] [Indexed: 11/29/2022]
Abstract
Cyanophora is the glaucophyte model taxon. Following the sequencing of the nuclear genome of C. paradoxa, studies based on single organelle and nuclear molecular markers revealed previously unrecognized species diversity within this glaucophyte genus. Here, we present the complete plastid (ptDNA) and mitochondrial (mtDNA) genomes of C. kugrensii, C. sudae, and C. biloba. The respective sizes and coding capacities of both ptDNAs and mtDNAs are conserved among Cyanophora species with only minor differences due to specific gene duplications. Organelle phylogenomic analyses consistently recover the species C. kugrensii and C. paradoxa as a clade and C. sudae and C. biloba as a separate group. The phylogenetic affiliations of the four Cyanophora species are consistent with architectural similarities shared at the organelle genomic level. Genetic distance estimations from both organelle sequences are also consistent with phylogenetic and architecture evidence. Comparative analyses confirm that the Cyanophora mitochondrial genes accumulate substitutions at 3-fold higher rates than plastid counterparts, suggesting that mtDNA markers are more appropriate to investigate glaucophyte diversity and evolutionary events that occur at a population level. The study of complete organelle genomes is becoming the standard for species delimitation and is particularly relevant to study cryptic diversity in microbial groups.
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Affiliation(s)
- Sarah Russell
- Department of Biology, University of New Brunswick, 10 Bailey Drive, Fredericton, NB, E3B 5A3, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Christopher Jackson
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.,Royal Botanic Gardens Victoria, Melbourne, Vic., Australia
| | - Adrian Reyes-Prieto
- Department of Biology, University of New Brunswick, 10 Bailey Drive, Fredericton, NB, E3B 5A3, Canada
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Cho CH, Park SI, Ciniglia C, Yang EC, Graf L, Bhattacharya D, Yoon HS. Potential causes and consequences of rapid mitochondrial genome evolution in thermoacidophilic Galdieria (Rhodophyta). BMC Evol Biol 2020; 20:112. [PMID: 32892741 PMCID: PMC7487498 DOI: 10.1186/s12862-020-01677-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/20/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The Cyanidiophyceae is an early-diverged red algal class that thrives in extreme conditions around acidic hot springs. Although this lineage has been highlighted as a model for understanding the biology of extremophilic eukaryotes, little is known about the molecular evolution of their mitochondrial genomes (mitogenomes). RESULTS To fill this knowledge gap, we sequenced five mitogenomes from representative clades of Cyanidiophyceae and identified two major groups, here referred to as Galdieria-type (G-type) and Cyanidium-type (C-type). G-type mitogenomes exhibit the following three features: (i) reduction in genome size and gene inventory, (ii) evolution of unique protein properties including charge, hydropathy, stability, amino acid composition, and protein size, and (iii) distinctive GC-content and skewness of nucleotides. Based on GC-skew-associated characteristics, we postulate that unidirectional DNA replication may have resulted in the rapid evolution of G-type mitogenomes. CONCLUSIONS The high divergence of G-type mitogenomes was likely driven by natural selection in the multiple extreme environments that Galdieria species inhabit combined with their highly flexible heterotrophic metabolism. We speculate that the interplay between mitogenome divergence and adaptation may help explain the dominance of Galdieria species in diverse extreme habitats.
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Affiliation(s)
- Chung Hyun Cho
- Department of Biological Sciences, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Seung In Park
- Department of Biological Sciences, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Claudia Ciniglia
- Department of Environmental, Biological and Pharmaceutical Science and Technologies, University of Campania Luigi Vanvitelli, 81100, Caserta, Italy
| | - Eun Chan Yang
- Marine Ecosystem Research Center, Korea Institute of Ocean Science and Technology, Busan, 49111, South Korea
| | - Louis Graf
- Department of Biological Sciences, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Debashish Bhattacharya
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, 08901, USA
| | - Hwan Su Yoon
- Department of Biological Sciences, Sungkyunkwan University, Suwon, 16419, South Korea.
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11
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The draft mitochondrial genome of Magnolia biondii and mitochondrial phylogenomics of angiosperms. PLoS One 2020; 15:e0231020. [PMID: 32294100 PMCID: PMC7159230 DOI: 10.1371/journal.pone.0231020] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 03/13/2020] [Indexed: 12/15/2022] Open
Abstract
The mitochondrial genomes of flowering plants are well known for their large size, variable coding-gene set and fluid genome structure. The available mitochondrial genomes of the early angiosperms show extreme genetic diversity in genome size, structure, and sequences, such as rampant HGTs in Amborella mt genome, numerous repeated sequences in Nymphaea mt genome, and conserved gene evolution in Liriodendron mt genome. However, currently available early angiosperm mt genomes are still limited, hampering us from obtaining an overall picture of the mitogenomic evolution in angiosperms. Here we sequenced and assembled the draft mitochondrial genome of Magnolia biondii Pamp. from Magnoliaceae (magnoliids) using Oxford Nanopore sequencing technology. We recovered a single linear mitochondrial contig of 967,100 bp with an average read coverage of 122 × and a GC content of 46.6%. This draft mitochondrial genome contains a rich 64-gene set, similar to those of Liriodendron and Nymphaea, including 41 protein-coding genes, 20 tRNAs, and 3 rRNAs. Twenty cis-spliced and five trans-spliced introns break ten protein-coding genes in the Magnolia mt genome. Repeated sequences account for 27% of the draft genome, with 17 out of the 1,145 repeats showing recombination evidence. Although partially assembled, the approximately 1-Mb mt genome of Magnolia is still among the largest in angiosperms, which is possibly due to the expansion of repeated sequences, retention of ancestral mtDNAs, and the incorporation of nuclear genome sequences. Mitochondrial phylogenomic analysis of the concatenated datasets of 38 conserved protein-coding genes from 91 representatives of angiosperm species supports the sister relationship of magnoliids with monocots and eudicots, which is congruent with plastid evidence.
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12
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Wang J, Cui B, Zhao Y, Guo M. A New Algorithm for Identifying Genome Rearrangements in the Mammalian Evolution. Front Genet 2019; 10:1020. [PMID: 31737036 PMCID: PMC6828935 DOI: 10.3389/fgene.2019.01020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 09/24/2019] [Indexed: 11/13/2022] Open
Abstract
Genome rearrangements are the evolutionary events on level of genomes. It is a global view on evolution research of species to analyze the genome rearrangements. We introduce a new method called RGRPT (recovering the genome rearrangements based on phylogenetic tree) used to identify the genome rearrangements. We test the RGRPT using simulated data. The results of experiments show that RGRPT have high sensitivity and specificity compared with other tools when to predict rearrangement events. We use RGRPT to predict the rearrangement events of six mammalian genomes (human, chimpanzee, rhesus macaque, mouse, rat, and dog). RGRPT has recognized a total of 1,157 rearrangement events for them at 10 kb resolution, including 858 reversals, 16 translocations, 249 transpositions, and 34 fusions/fissions. And RGRPT has recognized 475 rearrangement events for them at 50 kb resolution, including 332 reversals, 13 translocations, 94 transpositions, and 36 fusions/fissions. The code source of RGRPT is available from https://github.com/wangjuanimu/data-of-genome-rearrangement.
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Affiliation(s)
- Juan Wang
- School of Computer Science, Inner Mongolia University, Hohhot, China
| | - Bo Cui
- School of Computer Science, Inner Mongolia University, Hohhot, China
| | - Yulan Zhao
- School of Computer Science, Inner Mongolia University, Hohhot, China
| | - Maozu Guo
- School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China.,Beijing University of Civil Engineering and Architecture, Beijing Key Laboratory of Intelligent Processing for Building Big Data, Beijing, China
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13
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Evolutionary dynamics of the chromatophore genome in three photosynthetic Paulinella species. Sci Rep 2019; 9:2560. [PMID: 30796245 PMCID: PMC6384880 DOI: 10.1038/s41598-019-38621-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 01/04/2019] [Indexed: 11/21/2022] Open
Abstract
The thecate amoeba Paulinella is a valuable model for understanding plastid organellogenesis because this lineage has independently gained plastids (termed chromatophores) of alpha-cyanobacterial provenance. Plastid primary endosymbiosis in Paulinella occurred relatively recently (90–140 million years ago, Mya), whereas the origin of the canonical Archaeplastida plastid occurred >1,500 Mya. Therefore, these two events provide independent perspectives on plastid formation on vastly different timescales. Here we generated the complete chromatophore genome sequence from P. longichromatophora (979,356 bp, GC-content = 38.8%, 915 predicted genes) and P. micropora NZ27 (977,190 bp, GC-content = 39.9%, 911 predicted genes) and compared these data to that from existing chromatophore genomes. Our analysis suggests that when a basal split occurred among photosynthetic Paulinella species ca. 60 Mya, only 35% of the ancestral orthologous gene families from the cyanobacterial endosymbiont remained in chromatophore DNA. Following major gene losses during the early stages of endosymbiosis, this process slowed down significantly, resulting in a conserved gene content across extant taxa. Chromatophore genes faced relaxed selection when compared to homologs in free-living alpha-cyanobacteria, likely reflecting the homogeneous intracellular environment of the Paulinella host. Comparison of nucleotide substitution and insertion/deletion events among different P. micropora strains demonstrates that increases in AT-content and genome reduction are ongoing and dynamic processes in chromatophore evolution.
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Cremen MCM, Leliaert F, Marcelino VR, Verbruggen H. Large Diversity of Nonstandard Genes and Dynamic Evolution of Chloroplast Genomes in Siphonous Green Algae (Bryopsidales, Chlorophyta). Genome Biol Evol 2018; 10:1048-1061. [PMID: 29635329 PMCID: PMC5888179 DOI: 10.1093/gbe/evy063] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2018] [Indexed: 12/15/2022] Open
Abstract
Chloroplast genomes have undergone tremendous alterations through the evolutionary history of the green algae (Chloroplastida). This study focuses on the evolution of chloroplast genomes in the siphonous green algae (order Bryopsidales). We present five new chloroplast genomes, which along with existing sequences, yield a data set representing all but one families of the order. Using comparative phylogenetic methods, we investigated the evolutionary dynamics of genomic features in the order. Our results show extensive variation in chloroplast genome architecture and intron content. Variation in genome size is accounted for by the amount of intergenic space and freestanding open reading frames that do not show significant homology to standard plastid genes. We show the diversity of these nonstandard genes based on their conserved protein domains, which are often associated with mobile functions (reverse transcriptase/intron maturase, integrases, phage- or plasmid-DNA primases, transposases, integrases, ligases). Investigation of the introns showed proliferation of group II introns in the early evolution of the order and their subsequent loss in the core Halimedineae, possibly through RT-mediated intron loss.
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Affiliation(s)
| | - Frederik Leliaert
- Botanic Garden Meise, 1860 Meise, Belgium.,Department of Biology, Phycology Research Group, Ghent University, 9000 Ghent, Belgium
| | - Vanessa R Marcelino
- School of BioSciences, University of Melbourne, Parkville, Australia.,Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, and Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, New South Wales, Australia
| | - Heroen Verbruggen
- School of BioSciences, University of Melbourne, Parkville, Australia
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Shi Y, Liu Y, Zhang S, Zou R, Tang J, Mu W, Peng Y, Dong S. Assembly and comparative analysis of the complete mitochondrial genome sequence of Sophora japonica 'JinhuaiJ2'. PLoS One 2018; 13:e0202485. [PMID: 30114217 PMCID: PMC6095553 DOI: 10.1371/journal.pone.0202485] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 08/04/2018] [Indexed: 11/18/2022] Open
Abstract
Sophora japonica L. (Faboideae, Leguminosae) is an important traditional Chinese herb with a long history of cultivation. Its flower buds and fruits contain abundant flavonoids, and therefore, the plants are cultivated for the industrial extraction of rutin. Here, we determined the complete nucleotide sequence of the mitochondrial genome of S. japonica ‘JinhuaiJ2’, the most widely planted variety in Guangxi region of China. The total length of the mtDNA sequence is 484,916 bp, with a GC content of 45.4%. Sophora japonica mtDNA harbors 32 known protein-coding genes, 17 tRNA genes, and three rRNA genes with 17 cis-spliced and five trans-spliced introns disrupting eight protein-coding genes. The gene coding and intron regions, and intergenic spacers account for 7.5%, 5.8% and 86.7% of the genome, respectively. The gene profile of S. japonica mitogenome differs from that of the other Faboideae species by only one or two gene gains or losses. Four of the 17 cis-spliced introns showed distinct length variations in the Faboideae, which could be attributed to the homologous recombination of the short repeats measuring a few bases located precisely at the edges of the putative deletions. This reflects the importance of small repeats in the sequence evolution in Faboideae mitogenomes. Repeated sequences of S. japonica mitogenome are mainly composed of small repeats, with only 20 medium-sized repeats, and one large repeat, adding up to 4% of its mitogenome length. Among the 25 pseudogene fragments detected in the intergenic spacer regions, the two largest ones and their corresponding functional gene copies located in two different sets of medium-sized repeats, point to their origins from homologous recombinations. As we further observed the recombined reads associated with the longest repeats of 2,160 bp with the PacBio long read data set of just 15 × in depth, repeat mediated homologous recombinations may play important role in the mitogenomic evolution of S. japonica. Our study provides insightful knowledge to the genetic background of this important herb species and the mitogenomic evolution in the Faboideae species.
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Affiliation(s)
- Yancai Shi
- Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin, Guangxi, China
| | - Yang Liu
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, Guangdong, China
- BGI-Shenzhen, Shenzhen, China
| | - Shouzhou Zhang
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Rong Zou
- Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin, Guangxi, China
| | - Jianmin Tang
- Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin, Guangxi, China
| | | | - Yang Peng
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Shanshan Dong
- Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, Guangdong, China
- * E-mail:
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Dong S, Zhao C, Chen F, Liu Y, Zhang S, Wu H, Zhang L, Liu Y. The complete mitochondrial genome of the early flowering plant Nymphaea colorata is highly repetitive with low recombination. BMC Genomics 2018; 19:614. [PMID: 30107780 PMCID: PMC6092842 DOI: 10.1186/s12864-018-4991-4] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 08/02/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Mitochondrial genomes of flowering plants (angiosperms) are highly dynamic in genome structure. The mitogenome of the earliest angiosperm Amborella is remarkable in carrying rampant foreign DNAs, in contrast to Liriodendron, the other only known early angiosperm mitogenome that is described as 'fossilized'. The distinctive features observed in the two early flowering plant mitogenomes add to the current confusions of what early flowering plants look like. Expanded sampling would provide more details in understanding the mitogenomic evolution of early angiosperms. Here we report the complete mitochondrial genome of water lily Nymphaea colorata from Nymphaeales, one of the three orders of the earliest angiosperms. RESULTS Assembly of data from Pac-Bio long-read sequencing yielded a circular mitochondria chromosome of 617,195 bp with an average depth of 601×. The genome encoded 41 protein coding genes, 20 tRNA and three rRNA genes with 25 group II introns disrupting 10 protein coding genes. Nearly half of the genome is composed of repeated sequences, which contributed substantially to the intron size expansion, making the gross intron length of the Nymphaea mitochondrial genome one of the longest among angiosperms, including an 11.4-Kb intron in cox2, which is the longest organellar intron reported to date in plants. Nevertheless, repeat mediated homologous recombination is unexpectedly low in Nymphaea evidenced by 74 recombined reads detected from ten recombinationally active repeat pairs among 886,982 repeat pairs examined. Extensive gene order changes were detected in the three early angiosperm mitogenomes, i.e. 38 or 44 events of inversions and translocations are needed to reconcile the mitogenome of Nymphaea with Amborella or Liriodendron, respectively. In contrast to Amborella with six genome equivalents of foreign mitochondrial DNA, not a single horizontal gene transfer event was observed in the Nymphaea mitogenome. CONCLUSIONS The Nymphaea mitogenome resembles the other available early angiosperm mitogenomes by a similarly rich 64-coding gene set, and many conserved gene clusters, whereas stands out by its highly repetitive nature and resultant remarkable intron expansions. The low recombination level in Nymphaea provides evidence for the predominant master conformation in vivo with a highly substoichiometric set of rearranged molecules.
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Affiliation(s)
- Shanshan Dong
- Fairylake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
- College of Life Sciences, South China Agricultural University, Guangzhou, China
| | - Chaoxian Zhao
- Fairylake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
- Department of Biology, School of Life Sciences, East China Normal University, Shanghai, China
| | - Fei Chen
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- Ministry of Education Key Laboratory of Genetics, Breeding and Multiple Utilization of Corps, Fujian Agriculture and Forestry University, Fuzhou, China
- Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yanhui Liu
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- Ministry of Education Key Laboratory of Genetics, Breeding and Multiple Utilization of Corps, Fujian Agriculture and Forestry University, Fuzhou, China
- Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Shouzhou Zhang
- Fairylake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
| | - Hong Wu
- College of Life Sciences, South China Agricultural University, Guangzhou, China
| | - Liangsheng Zhang
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- Ministry of Education Key Laboratory of Genetics, Breeding and Multiple Utilization of Corps, Fujian Agriculture and Forestry University, Fuzhou, China
- Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yang Liu
- Fairylake Botanical Garden, Shenzhen & Chinese Academy of Sciences, Shenzhen, China
- BGI-Shenzhen, Shenzhen, 518083 China
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Cho CH, Choi JW, Lam DW, Kim KM, Yoon HS. Plastid genome analysis of three Nemaliophycidae red algal species suggests environmental adaptation for iron limited habitats. PLoS One 2018; 13:e0196995. [PMID: 29738547 PMCID: PMC5940233 DOI: 10.1371/journal.pone.0196995] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 04/24/2018] [Indexed: 01/03/2023] Open
Abstract
The red algal subclass Nemaliophycidae includes both marine and freshwater taxa that contribute to more than half of the freshwater species in Rhodophyta. Given that these taxa inhabit diverse habitats, the Nemaliophycidae is a suitable model for studying environmental adaptation. For this purpose, we characterized plastid genomes of two freshwater species, Kumanoa americana (Batrachospermales) and Thorea hispida (Thoreales), and one marine species Palmaria palmata (Palmariales). Comparative genome analysis identified seven genes (ycf34, ycf35, ycf37, ycf46, ycf91, grx, and pbsA) that were different among marine and freshwater species. Among currently available red algal plastid genomes (127), four genes (pbsA, ycf34, ycf35, ycf37) were retained in most of the marine species. Among these, the pbsA gene, known for encoding heme oxygenase, had two additional copies (HMOX1 and HMOX2) that were newly discovered and were reported from previously red algal nuclear genomes. Each type of heme oxygenase had a different evolutionary history and special modifications (e.g., plastid targeting signal peptide). Based on this observation, we suggest that the plastid-encoded pbsA contributes to the iron controlling system in iron-deprived conditions. Thus, we highlight that this functional requirement may have prevented gene loss during the long evolutionary history of red algal plastid genomes.
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Affiliation(s)
- Chung Hyun Cho
- Department of Biological Sciences, Sungkyunkwan University, Suwon, Korea
| | - Ji Won Choi
- Department of Biological Sciences, Sungkyunkwan University, Suwon, Korea
| | - Daryl W. Lam
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, United States of America
| | - Kyeong Mi Kim
- Marine Biodiversity Institute of Korea, Seocheon, Korea
| | - Hwan Su Yoon
- Department of Biological Sciences, Sungkyunkwan University, Suwon, Korea
- * E-mail:
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The complete mitochondrial genome of Vannella simplex (Amoebozoa, Discosea, Vannellida). Eur J Protistol 2018; 63:83-95. [PMID: 29502046 DOI: 10.1016/j.ejop.2018.01.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 01/19/2018] [Accepted: 01/28/2018] [Indexed: 11/22/2022]
Abstract
Vannella simplex (Amoebozoa, Discosea, Vannellida) is one of the commonest freshwater free-living lobose amoebae, known from many locations worldwide. In the present study, we describe the complete mitochondrial genome of this species. The circular mitochondrial DNA of V. simplex has 34,145öbp in length and contains 27 protein-coding genes, 2 ribosomal RNAs, 16 transfer RNAs and 4 open reading frames. Mitochondiral genome of V. simplex is one of the most gene compact due to overlapping genes and reduced intergenic space. It has much in common with its closest relative, mitochondrial genome of V. croatica GenBank number MF508648. In the same time, both of them show considerable differences in length and in gene order from the next close relative - that of Neoparamoeba pemaquidensis KX611830 (deposited as Paramoeba) and even more - from other sequenced amoebozoan mitochondrial genomes. The present study confirms the opinion that the level of synteny between the mitochondrial genomes across the entire Amoebozoa clade is low. More or less considerable similarity yet was found only between members of the same clade of the genera or family level, but hardly - among more distant lineages.
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He L, Wang Z, Lou S, Lin X, Hu F. The complete chloroplast genome of the green algae Hariotina reticulata (Scenedesmaceae, Sphaeropleales, Chlorophyta). Genes Genomics 2018; 40:543-552. [DOI: 10.1007/s13258-018-0652-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 12/26/2017] [Indexed: 10/18/2022]
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Abstract
Phylogenomics aims at reconstructing the evolutionary histories of organisms taking into account whole genomes or large fractions of genomes. The abundance of genomic data for an enormous variety of organisms has enabled phylogenomic inference of many groups, and this has motivated the development of many computer programs implementing the associated methods. This chapter surveys phylogenetic concepts and methods aimed at both gene tree and species tree reconstruction while also addressing common pitfalls, providing references to relevant computer programs. A practical phylogenomic analysis example including bacterial genomes is presented at the end of the chapter.
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Affiliation(s)
- José S L Patané
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP, 05508-000, Brazil
| | - Joaquim Martins
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP, 05508-000, Brazil
| | - João C Setubal
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, SP, 05508-000, Brazil.
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Graf L, Kim YJ, Cho GY, Miller KA, Yoon HS. Plastid and mitochondrial genomes of Coccophora langsdorfii (Fucales, Phaeophyceae) and the utility of molecular markers. PLoS One 2017; 12:e0187104. [PMID: 29095864 PMCID: PMC5695614 DOI: 10.1371/journal.pone.0187104] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Accepted: 10/15/2017] [Indexed: 11/29/2022] Open
Abstract
Coccophora langsdorfii (Turner) Greville (Fucales) is an intertidal brown alga that is endemic to Northeast Asia and increasingly endangered by habitat loss and climate change. We sequenced the complete circular plastid and mitochondrial genomes of C. langsdorfii. The circular plastid genome is 124,450 bp and contains 139 protein-coding, 28 tRNA and 6 rRNA genes. The circular mitochondrial genome is 35,660 bp and contains 38 protein-coding, 25 tRNA and 3 rRNA genes. The structure and gene content of the C. langsdorfii plastid genome is similar to those of other species in the Fucales. The plastid genomes of brown algae in other orders share similar gene content but exhibit large structural recombination. The large in-frame insert in the cox2 gene in the mitochondrial genome of C. langsdorfii is typical of other brown algae. We explored the effect of this insertion on the structure and function of the cox2 protein. We estimated the usefulness of 135 plastid genes and 35 mitochondrial genes for developing molecular markers. This study shows that 29 organellar genes will prove efficient for resolving brown algal phylogeny. In addition, we propose a new molecular marker suitable for the study of intraspecific genetic diversity that should be tested in a large survey of populations of C. langsdorfii.
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Affiliation(s)
- Louis Graf
- Department of Biological Sciences, Sungkyunkwan University, Suwon, Korea
| | - Yae Jin Kim
- Department of Biological Sciences, Sungkyunkwan University, Suwon, Korea
| | - Ga Youn Cho
- National Institute of Biological Resources, Incheon, Korea
| | - Kathy Ann Miller
- University Herbarium, University of California, Berkeley, CA, United States of America
| | - Hwan Su Yoon
- Department of Biological Sciences, Sungkyunkwan University, Suwon, Korea
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Ruan J, Cheng J, Zhang T, Jiang H. Mitochondrial genome evolution in the Saccharomyces sensu stricto complex. PLoS One 2017; 12:e0183035. [PMID: 28813471 PMCID: PMC5558958 DOI: 10.1371/journal.pone.0183035] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 07/29/2017] [Indexed: 12/14/2022] Open
Abstract
Exploring the evolutionary patterns of mitochondrial genomes is important for our understanding of the Saccharomyces sensu stricto (SSS) group, which is a model system for genomic evolution and ecological analysis. In this study, we first obtained the complete mitochondrial sequences of two important species, Saccharomyces mikatae and Saccharomyces kudriavzevii. We then compared the mitochondrial genomes in the SSS group with those of close relatives, and found that the non-coding regions evolved rapidly, including dramatic expansion of intergenic regions, fast evolution of introns and almost 20-fold higher rearrangement rates than those of the nuclear genomes. However, the coding regions, and especially the protein-coding genes, are more conserved than those in the nuclear genomes of the SSS group. The different evolutionary patterns of coding and non-coding regions in the mitochondrial and nuclear genomes may be related to the origin of the aerobic fermentation lifestyle in this group. Our analysis thus provides novel insights into the evolution of mitochondrial genomes.
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Affiliation(s)
- Jiangxing Ruan
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300308, China
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
| | - Jian Cheng
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
| | - Tongcun Zhang
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300308, China
| | - Huifeng Jiang
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
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Suzuki S, Hirakawa Y, Kofuji R, Sugita M, Ishida KI. Plastid genome sequences of Gymnochlora stellata, Lotharella vacuolata, and Partenskyella glossopodia reveal remarkable structural conservation among chlorarachniophyte species. JOURNAL OF PLANT RESEARCH 2016; 129:581-590. [PMID: 26920842 DOI: 10.1007/s10265-016-0804-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 12/21/2015] [Indexed: 06/05/2023]
Abstract
Chlorarachniophyte algae have complex plastids acquired by the uptake of a green algal endosymbiont, and this event is called secondary endosymbiosis. Interestingly, the plastids possess a relict endosymbiont nucleus, referred to as the nucleomorph, in the intermembrane space, and the nucleomorphs contain an extremely reduced and compacted genome in comparison with green algal nuclear genomes. Therefore, chlorarachniophyte plastids consist of two endosymbiotically derived genomes, i.e., the plastid and nucleomorph genomes. To date, complete nucleomorph genomes have been sequenced in four different species, whereas plastid genomes have been reported in only two species in chlorarachniophytes. To gain further insight into the evolution of endosymbiotic genomes in chlorarachniophytes, we newly sequenced the plastid genomes of three species, Gymnochlora stellata, Lotharella vacuolata, and Partenskyella glossopodia. Our findings reveal that chlorarachniophyte plastid genomes are highly conserved in size, gene content, and gene order among species, but their nucleomorph genomes are divergent in such features. Accordingly, the current architecture of the plastid genomes of chlorarachniophytes evolved in a common ancestor, and changed very little during their subsequent diversification. Furthermore, our phylogenetic analyses using multiple plastid genes suggest that chlorarachniophyte plastids are derived from a green algal lineage that is closely related to Bryopsidales in the Ulvophyceae group.
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Affiliation(s)
- Shigekatsu Suzuki
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan
| | - Yoshihisa Hirakawa
- Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan
| | - Rumiko Kofuji
- Graduate School of Natural Science and Technology, Kanazawa University, Ishikawa, Japan
| | - Mamoru Sugita
- Center for Gene Research, Nagoya University, Aichi, Japan
| | - Ken-Ichiro Ishida
- Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan.
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Lyubetsky V, Gershgorin R, Seliverstov A, Gorbunov K. Algorithms for reconstruction of chromosomal structures. BMC Bioinformatics 2016; 17:40. [PMID: 26780836 PMCID: PMC4717669 DOI: 10.1186/s12859-016-0878-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Accepted: 01/06/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND One of the main aims of phylogenomics is the reconstruction of objects defined in the leaves along the whole phylogenetic tree to minimize the specified functional, which may also include the phylogenetic tree generation. Such objects can include nucleotide and amino acid sequences, chromosomal structures, etc. The structures can have any set of linear and circular chromosomes, variable gene composition and include any number of paralogs, as well as any weights of individual evolutionary operations to transform a chromosome structure. Many heuristic algorithms were proposed for this purpose, but there are just a few exact algorithms with low (linear, cubic or similar) polynomial computational complexity among them to our knowledge. The algorithms naturally start from the calculation of both the distance between two structures and the shortest sequence of operations transforming one structure into another. Such calculation per se is an NP-hard problem. RESULTS A general model of chromosomal structure rearrangements is considered. Exact algorithms with almost linear or cubic polynomial complexities have been developed to solve the problems for the case of any chromosomal structure but with certain limitations on operation weights. The computer programs are tested on biological data for the problem of mitochondrial or plastid chromosomal structure reconstruction. To our knowledge, no computer programs are available for this model. CONCLUSIONS Exactness of the proposed algorithms and such low polynomial complexities were proved. The reconstructed evolutionary trees of mitochondrial and plastid chromosomal structures as well as the ancestral states of the structures appear to be reasonable.
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Affiliation(s)
- Vassily Lyubetsky
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Bolshoi Karetnyi lane, 19, 127051, Moscow, Russia.
| | - Roman Gershgorin
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Bolshoi Karetnyi lane, 19, 127051, Moscow, Russia.
| | - Alexander Seliverstov
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Bolshoi Karetnyi lane, 19, 127051, Moscow, Russia.
| | - Konstantin Gorbunov
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Bolshoi Karetnyi lane, 19, 127051, Moscow, Russia.
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Murray GGR, Weinert LA, Rhule EL, Welch JJ. The Phylogeny of Rickettsia Using Different Evolutionary Signatures: How Tree-Like is Bacterial Evolution? Syst Biol 2015; 65:265-79. [PMID: 26559010 PMCID: PMC4748751 DOI: 10.1093/sysbio/syv084] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 11/04/2015] [Indexed: 11/14/2022] Open
Abstract
Rickettsia is a genus of intracellular bacteria whose hosts and transmission strategies are both impressively diverse, and this is reflected in a highly dynamic genome. Some previous studies have described the evolutionary history of Rickettsia as non-tree-like, due to incongruity between phylogenetic reconstructions using different portions of the genome. Here, we reconstruct the Rickettsia phylogeny using whole-genome data, including two new genomes from previously unsampled host groups. We find that a single topology, which is supported by multiple sources of phylogenetic signal, well describes the evolutionary history of the core genome. We do observe extensive incongruence between individual gene trees, but analyses of simulations over a single topology and interspersed partitions of sites show that this is more plausibly attributed to systematic error than to horizontal gene transfer. Some conflicting placements also result from phylogenetic analyses of accessory genome content (i.e., gene presence/absence), but we argue that these are also due to systematic error, stemming from convergent genome reduction, which cannot be accommodated by existing phylogenetic methods. Our results show that, even within a single genus, tests for gene exchange based on phylogenetic incongruence may be susceptible to false positives.
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Affiliation(s)
- Gemma G R Murray
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK; and
| | - Lucy A Weinert
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK
| | - Emma L Rhule
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK; and
| | - John J Welch
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK; and
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Braga MDV, Stoye J. Sorting Linear Genomes with Rearrangements and Indels. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2015; 12:500-506. [PMID: 26357261 DOI: 10.1109/tcbb.2014.2329297] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Rearrangements are mutations that can change the organization of a genome, but not its content. Examples are inversions of DNA segments, translocations of chromosome ends, fusions and fissions of chromosomes. All mentioned rearrangements can be represented by the generic Double Cut and Join (DCJ) operation. However, the DCJ operation also allows circular chromosomes to be created at intermediate steps, even if the compared genomes are linear. In this case it is more plausible to consider a restriction in which the reincorporation of a circular chromosome has to be done immediately after its creation. We call these two consecutive operations an ER composition. It has been shown that an ER composition mimics either an internal block interchange (when two segments in the same chromosome exchange their positions), or an internal transposition (the special case of a block interchange when the two segments are adjacent). The DCJ distance of two genomes is the same, regardless of this restriction, and can be computed in linear time. For comparing two genomes with unequal contents, in addition to rearrangements we have to allow insertions and deletions of DNA segments-named indels. It is already known that the distance in the model combining DCJ and indel operations can be exactly computed. Again, for linear genomes it would be more plausible to adopt a restricted version with ER compositions. This model was studied recently by da Silva et al. (BMC Bioinformatics 13, Suppl. 19, S14, 2012), but only an upper bound for the restricted DCJ-indel distance was provided. Here we first solve an open problem posed in that paper and present a very simple proof showing that the distance, which can be computed in linear time, is the same for both the unrestricted and the restricted DCJ-indel models. We then give a simpler algorithm for computing an optimal restricted DCJ-indel sorting scenario in O(n log n) time. We also relate the DCJ-indel distance to the restricted DCJ-substitution distance, which instead of indels considers a more powerful operation that allows the substitution of a DNA segment by another DNA segment. We show that the DCJ-indel distance is a 2-approximation for the restricted DCJ-substitution distance.
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Melton JT, Leliaert F, Tronholm A, Lopez-Bautista JM. The complete chloroplast and mitochondrial genomes of the green macroalga Ulva sp. UNA00071828 (Ulvophyceae, Chlorophyta). PLoS One 2015; 10:e0121020. [PMID: 25849557 PMCID: PMC4388391 DOI: 10.1371/journal.pone.0121020] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 02/09/2015] [Indexed: 11/18/2022] Open
Abstract
Sequencing mitochondrial and chloroplast genomes has become an integral part in understanding the genomic machinery and the phylogenetic histories of green algae. Previously, only three chloroplast genomes (Oltmannsiellopsis viridis, Pseudendoclonium akinetum, and Bryopsis hypnoides) and two mitochondrial genomes (O. viridis and P. akinetum) from the class Ulvophyceae have been published. Here, we present the first chloroplast and mitochondrial genomes from the ecologically and economically important marine, green algal genus Ulva. The chloroplast genome of Ulva sp. was 99,983 bp in a circular-mapping molecule that lacked inverted repeats, and thus far, was the smallest ulvophycean plastid genome. This cpDNA was a highly compact, AT-rich genome that contained a total of 102 identified genes (71 protein-coding genes, 28 tRNA genes, and three ribosomal RNA genes). Additionally, five introns were annotated in four genes: atpA (1), petB (1), psbB (2), and rrl (1). The circular-mapping mitochondrial genome of Ulva sp. was 73,493 bp and follows the expanded pattern also seen in other ulvophyceans and trebouxiophyceans. The Ulva sp. mtDNA contained 29 protein-coding genes, 25 tRNA genes, and two rRNA genes for a total of 56 identifiable genes. Ten introns were annotated in this mtDNA: cox1 (4), atp1 (1), nad3 (1), nad5 (1), and rrs (3). Double-cut-and-join (DCJ) values showed that organellar genomes across Chlorophyta are highly rearranged, in contrast to the highly conserved organellar genomes of the red algae (Rhodophyta). A phylogenomic investigation of 51 plastid protein-coding genes showed that Ulvophyceae is not monophyletic, and also placed Oltmannsiellopsis (Oltmannsiellopsidales) and Tetraselmis (Chlorodendrophyceae) closely to Ulva (Ulvales) and Pseudendoclonium (Ulothrichales).
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Affiliation(s)
- James T. Melton
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama 35487-0345, United States of America
- * E-mail:
| | - Frederik Leliaert
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama 35487-0345, United States of America
- Marine Biology Research Group, Department of Biology, Ghent University, Krijgslaan 281-S8, 9000 Ghent, Belgium
| | - Ana Tronholm
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama 35487-0345, United States of America
- Smithsonian Marine Station at Fort Pierce, 701 Seaway Drive, Fort Pierce, Florida 34949, United States of America
| | - Juan M. Lopez-Bautista
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama 35487-0345, United States of America
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Leliaert F, Lopez-Bautista JM. The chloroplast genomes of Bryopsis plumosa and Tydemania expeditiones (Bryopsidales, Chlorophyta): compact genomes and genes of bacterial origin. BMC Genomics 2015; 16:204. [PMID: 25879186 PMCID: PMC4487195 DOI: 10.1186/s12864-015-1418-3] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 02/28/2015] [Indexed: 12/31/2022] Open
Abstract
Background Species of Bryopsidales form ecologically important components of seaweed communities worldwide. These siphonous macroalgae are composed of a single giant tubular cell containing millions of nuclei and chloroplasts, and harbor diverse bacterial communities. Little is known about the diversity of chloroplast genomes (cpDNAs) in this group, and about the possible consequences of intracellular bacteria on genome composition of the host. We present the complete cpDNAs of Bryopsis plumosa and Tydemania expeditiones, as well as a re-annotated cpDNA of B. hypnoides, which was shown to contain a higher number of genes than originally published. Chloroplast genomic data were also used to evaluate phylogenetic hypotheses in the Chlorophyta, such as monophyly of the Ulvophyceae (the class in which the order Bryopsidales is currently classified). Results Both DNAs are circular and lack a large inverted repeat. The cpDNA of B. plumosa is 106,859 bp long and contains 115 unique genes. A 13 kb region was identified with several freestanding open reading frames (ORFs) of putative bacterial origin, including a large ORF (>8 kb) closely related to bacterial rhs-family genes. The cpDNA of T. expeditiones is 105,200 bp long and contains 125 unique genes. As in B. plumosa, several regions were identified with ORFs of possible bacterial origin, including genes involved in mobile functions (transposases, integrases, phage/plasmid DNA primases), and ORFs showing close similarity with bacterial DNA methyltransferases. The cpDNA of B. hypnoides differs from that of B. plumosa mainly in the presence of long intergenic spacers, and a large tRNA region. Chloroplast phylogenomic analyses were largely inconclusive with respect to monophyly of the Ulvophyceae, and the relationship of the Bryopsidales within the Chlorophyta. Conclusions The cpDNAs of B. plumosa and T. expeditiones are amongst the smallest and most gene dense chloroplast genomes in the core Chlorophyta. The presence of bacterial genes, including genes typically found in mobile elements, suggest that these have been acquired through horizontal gene transfer, which may have been facilitated by the occurrence of obligate intracellular bacteria in these siphonous algae. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1418-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Frederik Leliaert
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL, USA. .,Department of Biology, Marine Biology Research Group, Ghent University, Krijgslaan 281-S8, Ghent, 9000, Belgium.
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Aguileta G, de Vienne DM, Ross ON, Hood ME, Giraud T, Petit E, Gabaldón T. High variability of mitochondrial gene order among fungi. Genome Biol Evol 2015; 6:451-65. [PMID: 24504088 PMCID: PMC3942027 DOI: 10.1093/gbe/evu028] [Citation(s) in RCA: 162] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
From their origin as an early alpha proteobacterial endosymbiont to their current state as cellular organelles, large-scale genomic reorganization has taken place in the mitochondria of all main eukaryotic lineages. So far, most studies have focused on plant and animal mitochondrial (mt) genomes (mtDNA), but fungi provide new opportunities to study highly differentiated mtDNAs. Here, we analyzed 38 complete fungal mt genomes to investigate the evolution of mtDNA gene order among fungi. In particular, we looked for evidence of nonhomologous intrachromosomal recombination and investigated the dynamics of gene rearrangements. We investigated the effect that introns, intronic open reading frames (ORFs), and repeats may have on gene order. Additionally, we asked whether the distribution of transfer RNAs (tRNAs) evolves independently to that of mt protein-coding genes. We found that fungal mt genomes display remarkable variation between and within the major fungal phyla in terms of gene order, genome size, composition of intergenic regions, and presence of repeats, introns, and associated ORFs. Our results support previous evidence for the presence of mt recombination in all fungal phyla, a process conspicuously lacking in most Metazoa. Overall, the patterns of rearrangements may be explained by the combined influences of recombination (i.e., most likely nonhomologous and intrachromosomal), accumulated repeats, especially at intergenic regions, and to a lesser extent, mobile element dynamics.
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Affiliation(s)
- Gabriela Aguileta
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain
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Neafsey DE, Waterhouse RM, Abai MR, Aganezov SS, Alekseyev MA, Allen JE, Amon J, Arcà B, Arensburger P, Artemov G, Assour LA, Basseri H, Berlin A, Birren BW, Blandin SA, Brockman AI, Burkot TR, Burt A, Chan CS, Chauve C, Chiu JC, Christensen M, Costantini C, Davidson VLM, Deligianni E, Dottorini T, Dritsou V, Gabriel SB, Guelbeogo WM, Hall AB, Han MV, Hlaing T, Hughes DST, Jenkins AM, Jiang X, Jungreis I, Kakani EG, Kamali M, Kemppainen P, Kennedy RC, Kirmitzoglou IK, Koekemoer LL, Laban N, Langridge N, Lawniczak MKN, Lirakis M, Lobo NF, Lowy E, MacCallum RM, Mao C, Maslen G, Mbogo C, McCarthy J, Michel K, Mitchell SN, Moore W, Murphy KA, Naumenko AN, Nolan T, Novoa EM, O'Loughlin S, Oringanje C, Oshaghi MA, Pakpour N, Papathanos PA, Peery AN, Povelones M, Prakash A, Price DP, Rajaraman A, Reimer LJ, Rinker DC, Rokas A, Russell TL, Sagnon N, Sharakhova MV, Shea T, Simão FA, Simard F, Slotman MA, Somboon P, Stegniy V, Struchiner CJ, Thomas GWC, Tojo M, Topalis P, Tubio JMC, Unger MF, Vontas J, Walton C, Wilding CS, Willis JH, Wu YC, Yan G, Zdobnov EM, Zhou X, Catteruccia F, Christophides GK, Collins FH, Cornman RS, et alNeafsey DE, Waterhouse RM, Abai MR, Aganezov SS, Alekseyev MA, Allen JE, Amon J, Arcà B, Arensburger P, Artemov G, Assour LA, Basseri H, Berlin A, Birren BW, Blandin SA, Brockman AI, Burkot TR, Burt A, Chan CS, Chauve C, Chiu JC, Christensen M, Costantini C, Davidson VLM, Deligianni E, Dottorini T, Dritsou V, Gabriel SB, Guelbeogo WM, Hall AB, Han MV, Hlaing T, Hughes DST, Jenkins AM, Jiang X, Jungreis I, Kakani EG, Kamali M, Kemppainen P, Kennedy RC, Kirmitzoglou IK, Koekemoer LL, Laban N, Langridge N, Lawniczak MKN, Lirakis M, Lobo NF, Lowy E, MacCallum RM, Mao C, Maslen G, Mbogo C, McCarthy J, Michel K, Mitchell SN, Moore W, Murphy KA, Naumenko AN, Nolan T, Novoa EM, O'Loughlin S, Oringanje C, Oshaghi MA, Pakpour N, Papathanos PA, Peery AN, Povelones M, Prakash A, Price DP, Rajaraman A, Reimer LJ, Rinker DC, Rokas A, Russell TL, Sagnon N, Sharakhova MV, Shea T, Simão FA, Simard F, Slotman MA, Somboon P, Stegniy V, Struchiner CJ, Thomas GWC, Tojo M, Topalis P, Tubio JMC, Unger MF, Vontas J, Walton C, Wilding CS, Willis JH, Wu YC, Yan G, Zdobnov EM, Zhou X, Catteruccia F, Christophides GK, Collins FH, Cornman RS, Crisanti A, Donnelly MJ, Emrich SJ, Fontaine MC, Gelbart W, Hahn MW, Hansen IA, Howell PI, Kafatos FC, Kellis M, Lawson D, Louis C, Luckhart S, Muskavitch MAT, Ribeiro JM, Riehle MA, Sharakhov IV, Tu Z, Zwiebel LJ, Besansky NJ. Mosquito genomics. Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes. Science 2014; 347:1258522. [PMID: 25554792 DOI: 10.1126/science.1258522] [Show More Authors] [Citation(s) in RCA: 391] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.
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Affiliation(s)
- Daniel E Neafsey
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA.
| | - Robert M Waterhouse
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Mohammad R Abai
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Sergey S Aganezov
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - Max A Alekseyev
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Amon
- National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu
| | - Bruno Arcà
- Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Peter Arensburger
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Gleb Artemov
- Tomsk State University, 36 Lenina Avenue, Tomsk, Russia
| | - Lauren A Assour
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Hamidreza Basseri
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Aaron Berlin
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Bruce W Birren
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Stephanie A Blandin
- Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France
| | - Andrew I Brockman
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Thomas R Burkot
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - Austin Burt
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Clara S Chan
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Cedric Chauve
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Joanna C Chiu
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlo Costantini
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Victoria L M Davidson
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Elena Deligianni
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - Tania Dottorini
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Vicky Dritsou
- Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Stacey B Gabriel
- Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Wamdaogo M Guelbeogo
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Andrew B Hall
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Mira V Han
- School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA
| | - Thaung Hlaing
- Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar
| | - Daniel S T Hughes
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Adam M Jenkins
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - Xiaofang Jiang
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Irwin Jungreis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Evdoxia G Kakani
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - Maryam Kamali
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Petri Kemppainen
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Ryan C Kennedy
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA
| | - Ioannis K Kirmitzoglou
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus
| | - Lizette L Koekemoer
- Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa
| | - Njoroge Laban
- National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya
| | - Nicholas Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mara K N Lawniczak
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Lirakis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Neil F Lobo
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robert M MacCallum
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Chunhong Mao
- Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Gareth Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Charles Mbogo
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Jenny McCarthy
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Kristin Michel
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Sara N Mitchell
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA
| | - Wendy Moore
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Katherine A Murphy
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Tony Nolan
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Eva M Novoa
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Samantha O'Loughlin
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Chioma Oringanje
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Mohammad A Oshaghi
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazzy Pakpour
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Philippos A Papathanos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Ashley N Peery
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Michael Povelones
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA
| | - Anil Prakash
- Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India
| | - David P Price
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Ashok Rajaraman
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Lisa J Reimer
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK
| | - David C Rinker
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Antonis Rokas
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Tanya L Russell
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - N'Fale Sagnon
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Terrance Shea
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Felipe A Simão
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Frederic Simard
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Michel A Slotman
- Department of Entomology, Texas A&M University, College Station, TX 77807, USA
| | - Pradya Somboon
- Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | | | - Claudio J Struchiner
- Fundação Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gregg W C Thomas
- School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Marta Tojo
- Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Pantelis Topalis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - José M C Tubio
- Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Maria F Unger
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - John Vontas
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Catherine Walton
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Craig S Wilding
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Judith H Willis
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Yi-Chieh Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Flaminia Catteruccia
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - George K Christophides
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Frank H Collins
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Robert S Cornman
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Andrea Crisanti
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Martin J Donnelly
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK
| | - Scott J Emrich
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Michael C Fontaine
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands
| | - William Gelbart
- Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Immo A Hansen
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Paul I Howell
- Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA
| | - Fotis C Kafatos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Daniel Lawson
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Christos Louis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Shirley Luckhart
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Marc A T Muskavitch
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA
| | - José M Ribeiro
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA
| | - Michael A Riehle
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Zhijian Tu
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Laurence J Zwiebel
- Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA
| | - Nora J Besansky
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA.
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A high resolution map of mammalian X chromosome fragile regions assessed by large-scale comparative genomics. Mamm Genome 2014; 25:618-35. [PMID: 25086724 DOI: 10.1007/s00335-014-9537-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Accepted: 07/14/2014] [Indexed: 10/24/2022]
Abstract
Chromosomal evolution involves multiple changes at structural and numerical levels. These changes, which are related to the variation of the gene number and their location, can be tracked by the identification of syntenic blocks (SB). First reports proposed that ~180-280 SB might be shared by mouse and human species. More recently, further studies including additional genomes have identified up to ~1,400 SB during the evolution of eutherian species. A considerable number of studies regarding the X chromosome's structure and evolution have been undertaken because of its extraordinary biological impact on reproductive fitness and speciation. Some have identified evolutionary breakpoint regions and fragile sites at specific locations in the human X chromosome. However, mapping these regions to date has involved using low-to-moderate resolution techniques. Such scenario might be related to underestimating their total number and giving an inaccurate location. The present study included using a combination of bioinformatics methods for identifying, at base-pair level, chromosomal rearrangements occurring during X chromosome evolution in 13 mammalian species. A comparative technique using four different algorithms was used for optimizing the detection of hotspot regions in the human X chromosome. We identified a significant interspecific variation in SB size which was related to genetic information gain regarding the human X chromosome. We found that human hotspot regions were enriched by LINE-1 and Alu transposable elements, which may have led to intraspecific chromosome rearrangement events. New fragile regions located in the human X chromosome have also been postulated. We estimate that the high resolution map of X chromosome fragile sites presented here constitutes useful data concerning future studies on mammalian evolution and human disease.
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Moret BME, Lin Y, Tang J. Rearrangements in Phylogenetic Inference: Compare, Model, or Encode? MODELS AND ALGORITHMS FOR GENOME EVOLUTION 2013. [DOI: 10.1007/978-1-4471-5298-9_7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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