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Glez-Peña D, López-Fernández H, Duque P, Vieira CP, Vieira J. Inferences on the evolution of the ascorbic acid synthesis pathway in insects using Phylogenetic Tree Collapser (PTC), a tool for the automated collapsing of phylogenetic trees using taxonomic information. J Integr Bioinform 2024; 0:jib-2023-0051. [PMID: 39054685 DOI: 10.1515/jib-2023-0051] [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: 11/23/2023] [Accepted: 06/05/2024] [Indexed: 07/27/2024] Open
Abstract
When inferring the evolution of a gene/gene family, it is advisable to use all available coding sequences (CDS) from as many species genomes as possible in order to infer and date all gene duplications and losses. Nowadays, this means using hundreds or even thousands of CDSs, which makes the inferred phylogenetic trees difficult to visualize and interpret. Therefore, it is useful to have an automated way of collapsing large phylogenetic trees according to a taxonomic term decided by the user (family, class, or order, for instance), in order to highlight the minimal set of sequences that should be used to recapitulate the full history of the gene/gene family being studied at that taxonomic level, that can be refined using additional software. Here we present the Phylogenetic Tree Collapser (PTC) program (https://github.com/pegi3s/phylogenetic-tree-collapser), a flexible tool for automated tree collapsing using taxonomic information, that can be easily used by researchers without a background in informatics, since it only requires the installation of Docker, Podman or Singularity. The utility of PTC is demonstrated by addressing the evolution of the ascorbic acid synthesis pathway in insects. A Docker image is available at Docker Hub (https://hub.docker.com/r/pegi3s/phylogenetic-tree-collapser) with PTC installed and ready-to-run.
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Affiliation(s)
- Daniel Glez-Peña
- ESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain
- CINBIO: Centro de Investigaciones Biomédicas, University of Vigo, Campus Universitario Lagoas-Marcosende, 36310, Vigo, Spain
- SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain
| | - Hugo López-Fernández
- ESEI: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain
- CINBIO: Centro de Investigaciones Biomédicas, University of Vigo, Campus Universitario Lagoas-Marcosende, 36310, Vigo, Spain
- SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain
| | - Pedro Duque
- Instituto de Investigação e Inovação em Saúde (I3S), 26706 Universidade do Porto , Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), 26706 Universidade do Porto , Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
- Faculdade de Ciências da Universidade do Porto (FCUP), Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal
| | - Cristina P Vieira
- Instituto de Investigação e Inovação em Saúde (I3S), 26706 Universidade do Porto , Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
| | - Jorge Vieira
- Instituto de Investigação e Inovação em Saúde (I3S), 26706 Universidade do Porto , Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
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Scanlan JL, Robin C. Phylogenomics of the Ecdysteroid Kinase-like (EcKL) Gene Family in Insects Highlights Roles in Both Steroid Hormone Metabolism and Detoxification. Genome Biol Evol 2024; 16:evae019. [PMID: 38291829 PMCID: PMC10859841 DOI: 10.1093/gbe/evae019] [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: 06/29/2023] [Revised: 11/21/2023] [Accepted: 01/23/2024] [Indexed: 02/01/2024] Open
Abstract
The evolutionary dynamics of large gene families can offer important insights into the functions of their individual members. While the ecdysteroid kinase-like (EcKL) gene family has previously been linked to the metabolism of both steroid molting hormones and xenobiotic toxins, the functions of nearly all EcKL genes are unknown, and there is little information on their evolution across all insects. Here, we perform comprehensive phylogenetic analyses on a manually annotated set of EcKL genes from 140 insect genomes, revealing the gene family is comprised of at least 13 subfamilies that differ in retention and stability. Our results show the only two genes known to encode ecdysteroid kinases belong to different subfamilies and therefore ecdysteroid metabolism functions must be spread throughout the EcKL family. We provide comparative phylogenomic evidence that EcKLs are involved in detoxification across insects, with positive associations between family size and dietary chemical complexity, and we also find similar evidence for the cytochrome P450 and glutathione S-transferase gene families. Unexpectedly, we find that the size of the clade containing a known ecdysteroid kinase is positively associated with host plant taxonomic diversity in Lepidoptera, possibly suggesting multiple functional shifts between hormone and xenobiotic metabolism. Our evolutionary analyses provide hypotheses of function and a robust framework for future experimental studies of the EcKL gene family. They also open promising new avenues for exploring the genomic basis of dietary adaptation in insects, including the classically studied coevolution of butterflies with their host plants.
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Affiliation(s)
- Jack L Scanlan
- School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Charles Robin
- School of BioSciences, The University of Melbourne, Melbourne, VIC 3010, Australia
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Farooq M, Ahmad R, Shahzad M, Rehman SU, Sajjad Y, Hassan A, Shah MM, Afroz A, Khan SA. Real-time expression and in silico characterization of pea genes involved in salt and water-deficit stress. Mol Biol Rep 2023; 51:18. [PMID: 38099977 DOI: 10.1007/s11033-023-09064-2] [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: 06/13/2023] [Accepted: 10/26/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND To tolerate salt and water-deficit stress, the plant adapts to the adverse environment by regulating its metabolism and expressing certain stress-induced metabolic pathways. This research analyzed the relative expression of four pea genes (P5CR, PAL1, SOD, and POX) in three pea varieties (Climax, Green grass, and Meteor) under different levels of salt and water-deficit stress. METHODS AND RESULTS The experiments on salt stress and water-deficit stress were carried out within greenhouse settings under controlled environment. The saturation percentage was employed to create artificial salinity conditions: Control without NaCl treatment, Treatment 1: 50 mM NaCl treatment, Treatment 2: 75 mM NaCl treatment, and Treatment 3: 100 mM NaCl treatment. Field capacity (FC) was used for the development of artificial water-deficit treatments in the pots, i.e., Treatment 1 (Control; water application 100% of FC), Treatment 2 (water application 75% of FC), and Treatment 3 (water application 50% of FC). Pea genes involved in biosynthetic pathways of proline, flavonoids, and enzymatic antioxidant enzymes including P5CR, PAL1, SOD, and POX were selected based on literature. Quantitative real-time PCR using cDNA as a template was used to analyze the gene expression. Pea genes were analyzed for phylogenetic analysis in closely related crops having similarity percent identity 80% and above. In silico characterization of selected proteins including the family classification was done by the NCBI CDD and INTERPRO online servers. Results from RT-qPCR analysis showed increased expression of P5CR, PAL1, and POX genes, while SOD gene expression decreased under both stresses. Climax exhibited superior stress tolerance with elevated expression of P5CR and PAL1, while Meteor showed better tolerance through increased POX expression. Phylogenetic analysis revealed common ancestry with other species like chickpea, red clover, mung bean, and barrel clover, suggesting the cross relationship among these plant species. Conserved domain analysis of respective proteins revealed that these proteins contain PLNO 2688, PLN02457, Cu-Zn Superoxide dismutase, and secretory peroxidase conserved domains. Furthermore, protein family classification indicated that the oxidation-reduction process is the most common chemical process involved in these stresses given to pea plant which validates the relationship of these proteins. CONCLUSIONS Salt and water-deficit stresses trigger distinct metabolic pathways, leading to the up-regulation of specific genes and the synthesis of corresponding proteins. These findings further emphasize the conservation of stress-tolerance-related genes and proteins across various plant species. This knowledge enhances our understanding of plant adaptation to stress and offers opportunities for developing strategies to improve stress resilience in crops, thereby addressing global food security challenges.
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Affiliation(s)
- Muhammad Farooq
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan
| | - Rafiq Ahmad
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan
| | - Muhammad Shahzad
- Department of Environmental Sciences, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan
| | - Saad Ur Rehman
- Department of Bioinformatics, Government Postgraduate College, Mandian, Abbottabad, Pakistan
| | - Yasar Sajjad
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan
| | - Amjad Hassan
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan
| | - Mohammad Maroof Shah
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan
| | - Amber Afroz
- Department of Biochemistry and Biotechnology, University of Gujrat, Gujrat, Punjab, Pakistan
| | - Sabaz Ali Khan
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, University Road, Abbottabad, 22060, Pakistan.
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Guerreiro R, Bonthala VS, Schlüter U, Hoang NV, Triesch S, Schranz ME, Weber APM, Stich B. A genomic panel for studying C3-C4 intermediate photosynthesis in the Brassiceae tribe. PLANT, CELL & ENVIRONMENT 2023; 46:3611-3627. [PMID: 37431820 DOI: 10.1111/pce.14662] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/18/2023] [Accepted: 06/23/2023] [Indexed: 07/12/2023]
Abstract
Research on C4 and C3-C4 photosynthesis has attracted significant attention because the understanding of the genetic underpinnings of these traits will support the introduction of its characteristics into commercially relevant crop species. We used a panel of 19 taxa of 18 Brassiceae species with different photosynthesis characteristics (C3 and C3-C4) with the following objectives: (i) create draft genome assemblies and annotations, (ii) quantify orthology levels using synteny maps between all pairs of taxa, (iii) describe the phylogenetic relatedness across all the species, and (iv) track the evolution of C3-C4 intermediate photosynthesis in the Brassiceae tribe. Our results indicate that the draft de novo genome assemblies are of high quality and cover at least 90% of the gene space. Therewith we more than doubled the sampling depth of genomes of the Brassiceae tribe that comprises commercially important as well as biologically interesting species. The gene annotation generated high-quality gene models, and for most genes extensive upstream sequences are available for all taxa, yielding potential to explore variants in regulatory sequences. The genome-based phylogenetic tree of the Brassiceae contained two main clades and indicated that the C3-C4 intermediate photosynthesis has evolved five times independently. Furthermore, our study provides the first genomic support of the hypothesis that Diplotaxis muralis is a natural hybrid of D. tenuifolia and D. viminea. Altogether, the de novo genome assemblies and the annotations reported in this study are a valuable resource for research on the evolution of C3-C4 intermediate photosynthesis.
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Affiliation(s)
- Ricardo Guerreiro
- Institute of Quantitative Genetics and Genomics of Plants, Faculty of Mathematics and Natural Sciences, Heinrich Heine University, Düsseldorf, Germany
| | - Venkata Suresh Bonthala
- Institute of Quantitative Genetics and Genomics of Plants, Faculty of Mathematics and Natural Sciences, Heinrich Heine University, Düsseldorf, Germany
| | - Urte Schlüter
- Institute of Plant Biochemistry, Faculty of Mathematics and Natural Sciences, Heinrich Heine University, Düsseldorf, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Düsseldorf, Germany
| | - Nam V Hoang
- Biosystematics Group, Department of Plant Sciences, Wageningen University, Wageningen, The Netherlands
| | - Sebastian Triesch
- Institute of Plant Biochemistry, Faculty of Mathematics and Natural Sciences, Heinrich Heine University, Düsseldorf, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Düsseldorf, Germany
| | - M Eric Schranz
- Biosystematics Group, Department of Plant Sciences, Wageningen University, Wageningen, The Netherlands
| | - Andreas P M Weber
- Institute of Plant Biochemistry, Faculty of Mathematics and Natural Sciences, Heinrich Heine University, Düsseldorf, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Düsseldorf, Germany
| | - Benjamin Stich
- Institute of Quantitative Genetics and Genomics of Plants, Faculty of Mathematics and Natural Sciences, Heinrich Heine University, Düsseldorf, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Düsseldorf, Germany
- Max Planck Institute for Plant Breeding Research, Köln, Germany
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Hongo JA, de Castro GM, Albuquerque Menezes AP, Rios Picorelli AC, Martins da Silva TT, Imada EL, Marchionni L, Del-Bem LE, Vieira Chaves A, Almeida GMDF, Campelo F, Lobo FP. CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. PATTERNS (NEW YORK, N.Y.) 2023; 4:100728. [PMID: 37409050 PMCID: PMC10318336 DOI: 10.1016/j.patter.2023.100728] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/08/2022] [Accepted: 03/15/2023] [Indexed: 07/07/2023]
Abstract
Living species vary significantly in phenotype and genomic content. Sophisticated statistical methods linking genes with phenotypes within a species have led to breakthroughs in complex genetic diseases and genetic breeding. Despite the abundance of genomic and phenotypic data available for thousands of species, finding genotype-phenotype associations across species is challenging due to the non-independence of species data resulting from common ancestry. To address this, we present CALANGO (comparative analysis with annotation-based genomic components), a phylogeny-aware comparative genomics tool to find homologous regions and biological roles associated with quantitative phenotypes across species. In two case studies, CALANGO identified both known and previously unidentified genotype-phenotype associations. The first study revealed unknown aspects of the ecological interaction between Escherichia coli, its integrated bacteriophages, and the pathogenicity phenotype. The second identified an association between maximum height in angiosperms and the expansion of a reproductive mechanism that prevents inbreeding and increases genetic diversity, with implications for conservation biology and agriculture.
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Affiliation(s)
- Jorge Augusto Hongo
- Instituto de Computação, Universidade Estadual de Campinas, Campinas, Sao Paulo 13083-872, Brazil
| | - Giovanni Marques de Castro
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Alison Pelri Albuquerque Menezes
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Agnello César Rios Picorelli
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Thieres Tayroni Martins da Silva
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Eddie Luidy Imada
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Luigi Marchionni
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Luiz-Eduardo Del-Bem
- Department of Botany, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Anderson Vieira Chaves
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Gabriel Magno de Freitas Almeida
- Faculty of Biosciences, Fisheries and Economics, Norwegian College of Fishery Science, UiT The Arctic University of Norway, 9019 Tromsø, Norway
| | - Felipe Campelo
- Department of Computer Science, College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, UK
| | - Francisco Pereira Lobo
- Department of Genetics, Ecology and Evolution, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil
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Zaydman MA, Little AS, Haro F, Aksianiuk V, Buchser WJ, DiAntonio A, Gordon JI, Milbrandt J, Raman AS. Defining hierarchical protein interaction networks from spectral analysis of bacterial proteomes. eLife 2022; 11:e74104. [PMID: 35976223 PMCID: PMC9427106 DOI: 10.7554/elife.74104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 08/17/2022] [Indexed: 11/25/2022] Open
Abstract
Cellular behaviors emerge from layers of molecular interactions: proteins interact to form complexes, pathways, and phenotypes. We show that hierarchical networks of protein interactions can be defined from the statistical pattern of proteome variation measured across thousands of diverse bacteria and that these networks reflect the emergence of complex bacterial phenotypes. Our results are validated through gene-set enrichment analysis and comparison to existing experimentally derived databases. We demonstrate the biological utility of our approach by creating a model of motility in Pseudomonas aeruginosa and using it to identify a protein that affects pilus-mediated motility. Our method, SCALES (Spectral Correlation Analysis of Layered Evolutionary Signals), may be useful for interrogating genotype-phenotype relationships in bacteria.
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Affiliation(s)
- Mark A Zaydman
- Department of Pathology and Immunology, Washington University School of MedicineSt LouisUnited States
| | | | - Fidel Haro
- Duchossois Family Institute, University of ChicagoChicagoUnited States
| | | | - William J Buchser
- Department of Genetics, Washington University School of MedicineSt LouisUnited States
| | - Aaron DiAntonio
- Department of Developmental Biology, Washington University School of MedicineSt LouisUnited States
| | - Jeffrey I Gordon
- Department of Pathology and Immunology, Washington University School of MedicineSt LouisUnited States
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of MedicineSt LouisUnited States
| | - Jeffrey Milbrandt
- Department of Genetics, Washington University School of MedicineSt LouisUnited States
| | - Arjun S Raman
- Duchossois Family Institute, University of ChicagoChicagoUnited States
- Department of Pathology, University of Chicago, ChicagoChicagoUnited States
- Center for the Physics of Evolving Systems, University of Chicago, ChicagoChicagoUnited States
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7
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Deutekom ES, van Dam TJP, Snel B. Phylogenetic profiling in eukaryotes: The effect of species, orthologous group, and interactome selection on protein interaction prediction. PLoS One 2022; 17:e0251833. [PMID: 35421089 PMCID: PMC9009711 DOI: 10.1371/journal.pone.0251833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 03/15/2022] [Indexed: 12/04/2022] Open
Abstract
Phylogenetic profiling in eukaryotes is of continued interest to study and predict the functional relationships between proteins. This interest is likely driven by the increased number of available diverse genomes and computational methods to infer orthologies. The evaluation of phylogenetic profiles has mainly focussed on reference genome selection in prokaryotes. However, it has been proven to be challenging to obtain high prediction accuracies in eukaryotes. As part of our recent comparison of orthology inference methods for eukaryotic genomes, we observed a surprisingly high performance for predicting interacting orthologous groups. This high performance, in turn, prompted the question of what factors influence the success of phylogenetic profiling when applied to eukaryotic genomes. Here we analyse the effect of species, orthologous group and interactome selection on protein interaction prediction using phylogenetic profiles. We select species based on the diversity and quality of the genomes and compare this supervised selection with randomly generated genome subsets. We also analyse the effect on the performance of orthologous groups defined to be in the last eukaryotic common ancestor of eukaryotes to that of orthologous groups that are not. Finally, we consider the effects of reference interactome set filtering and reference interactome species. In agreement with other studies, we find an effect of genome selection based on quality, less of an effect based on genome diversity, but a more notable effect based on the amount of information contained within the genomes. Most importantly, we find it is not merely selecting the correct genomes that is important for high prediction performance. Other choices in meta parameters such as orthologous group selection, the reference species of the interaction set, and the quality of the interaction set have a much larger impact on the performance when predicting protein interactions using phylogenetic profiles. These findings shed light on the differences in reported performance amongst phylogenetic profiles approaches, and reveal on a more fundamental level for which types of protein interactions this method has most promise when applied to eukaryotes.
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Affiliation(s)
- Eva S. Deutekom
- Department of Biology, Utrecht University, Utrecht, The Netherlands
| | | | - Berend Snel
- Department of Biology, Utrecht University, Utrecht, The Netherlands
- * E-mail:
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8
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Mason AJ, Holding ML, Rautsaw RM, Rokyta DR, Parkinson CL, Gibbs HL. Venom gene sequence diversity and expression jointly shape diet adaptation in pitvipers. Mol Biol Evol 2022; 39:6567549. [PMID: 35413123 PMCID: PMC9040050 DOI: 10.1093/molbev/msac082] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Understanding the joint roles of protein sequence variation and differential expression during adaptive evolution is a fundamental, yet largely unrealized goal of evolutionary biology. Here, we use phylogenetic path analysis to analyze a comprehensive venom-gland transcriptome dataset spanning three genera of pitvipers to identify the functional genetic basis of a key adaptation (venom complexity) linked to diet breadth (DB). The analysis of gene-family-specific patterns reveals that, for genes encoding two of the most important venom proteins (snake venom metalloproteases and snake venom serine proteases), there are direct, positive relationships between sequence diversity (SD), expression diversity (ED), and increased DB. Further analysis of gene-family diversification for these proteins showed no constraint on how individual lineages achieved toxin gene SD in terms of the patterns of paralog diversification. In contrast, another major venom protein family (PLA2s) showed no relationship between venom molecular diversity and DB. Additional analyses suggest that other molecular mechanisms—such as higher absolute levels of expression—are responsible for diet adaptation involving these venom proteins. Broadly, our findings argue that functional diversity generated through sequence and expression variations jointly determine adaptation in the key components of pitviper venoms, which mediate complex molecular interactions between the snakes and their prey.
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Affiliation(s)
- Andrew J Mason
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA
| | | | - Rhett M Rautsaw
- Department of Biological Sciences, Clemson University, Clemson, SC, USA
| | - Darin R Rokyta
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Christopher L Parkinson
- Department of Biological Sciences, Clemson University, Clemson, SC, USA.,Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USA
| | - H Lisle Gibbs
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA
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9
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Sadat MA, Ullah MW, Hossain MS, Ahmed B, Bashar KK. Genome-wide in silico identification of phospholipase D (PLD) gene family from Corchorus capsularis and Corchorus olitorius: reveals their responses to plant stress. J Genet Eng Biotechnol 2022; 20:28. [PMID: 35147846 PMCID: PMC8837719 DOI: 10.1186/s43141-022-00311-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/30/2022] [Indexed: 11/17/2022]
Abstract
Background Plant grows in nature facing various types of abiotic stresses for their normal growth and development. During abiotic stress, plants evolve different types of mechanisms to survive in a hostile environment. Phospholipase D (PLD) plays important role in the regulation of diverse cellular processes including stress responses in plants. Member of PLD genes are well studied in different model plants; however, their functions in the jute are not clear yet. Result In the present study, a total of 12 and 11 PLD genes were identified in the genome of C. capsularis and C. olitorius, respectively. The presence of the two conserved HKD motifs in PLD genes except for CoPLDδ-2 in jute suggests their strong lipase activity. Twenty different motifs were found in the identified PLD genes, and PLD-β1, PLD-γ1, and all members of PLD-δ1 of both jute species contained the highest number of motifs. Phylogenetic analysis showed the close evolutionary relationship among the five groups of jute PLD proteins along with the PLD proteins from Arabidopsis. Tissue-specific expression pattern of PLDα1-2, PLD-α2, PLDβ1, PLDγ1, and PLDδ1 of two jute species suggested their involvement in plant growth and development. However, the expression pattern of PLDα1-2, PLDα1-3, PLD-α4, PLDδ1, and PLDδ3 indicated their association during waterlogging stress. In addition, PLD-α2, PLDβ1, and PLDδ2 seemed to be involved in drought stress as well as salinity stress. Conclusion This genome-wide identification of jute PLD genes from C. capsularis and C. olitorius will help to further functional characterization of the PLD genes for developing stress-tolerant jute variety.
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Affiliation(s)
- Md Abu Sadat
- Basic and Applied Research on Jute Project, Bangladesh Jute Research Institute, Manik Mia Avenue, Dhaka, 1207, Bangladesh.
| | - Md Wali Ullah
- Basic and Applied Research on Jute Project, Bangladesh Jute Research Institute, Manik Mia Avenue, Dhaka, 1207, Bangladesh
| | - Md Sabbir Hossain
- Basic and Applied Research on Jute Project, Bangladesh Jute Research Institute, Manik Mia Avenue, Dhaka, 1207, Bangladesh
| | - Borhan Ahmed
- Basic and Applied Research on Jute Project, Bangladesh Jute Research Institute, Manik Mia Avenue, Dhaka, 1207, Bangladesh
| | - Kazi Khayrul Bashar
- Basic and Applied Research on Jute Project, Bangladesh Jute Research Institute, Manik Mia Avenue, Dhaka, 1207, Bangladesh
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10
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Ramos L, Antunes A. Decoding sex: Elucidating sex determination and how high-quality genome assemblies are untangling the evolutionary dynamics of sex chromosomes. Genomics 2022; 114:110277. [PMID: 35104609 DOI: 10.1016/j.ygeno.2022.110277] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 12/22/2021] [Accepted: 01/26/2022] [Indexed: 11/28/2022]
Abstract
Sexual reproduction is a diverse and widespread process. In gonochoristic species, the differentiation of sexes occurs through diverse mechanisms, influenced by environmental and genetic factors. In most vertebrates, a master-switch gene is responsible for triggering a sex determination network. However, only a few genes have acquired master-switch functions, and this process is associated with the evolution of sex-chromosomes, which have a significant influence in evolution. Additionally, their highly repetitive regions impose challenges for high-quality sequencing, even using high-throughput, state-of-the-art techniques. Here, we review the mechanisms involved in sex determination and their role in the evolution of species, particularly vertebrates, focusing on sex chromosomes and the challenges involved in sequencing these genomic elements. We also address the improvements provided by the growth of sequencing projects, by generating a massive number of near-gapless, telomere-to-telomere, chromosome-level, phased assemblies, increasing the number and quality of sex-chromosome sequences available for further studies.
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Affiliation(s)
- Luana Ramos
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450-208 Porto, Portugal; Department of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Agostinho Antunes
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450-208 Porto, Portugal; Department of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal.
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11
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Abstract
Carotenoids constitute an essential dietary component of animals and other non-carotenogenic species which use these pigments in both their modified and unmodified forms. Animals utilize uncleaved carotenoids to mitigate light damage and oxidative stress and to signal fitness and health. Carotenoids also serve as precursors of apocarotenoids including retinol, and its retinoid metabolites, which carry out essential functions in animals by forming the visual chromophore 11-cis-retinaldehyde. Retinoids, such as all-trans-retinoic acid, can also act as ligands of nuclear hormone receptors. The fact that enzymes and biochemical pathways responsible for the metabolism of carotenoids in animals bear resemblance to the ones in plants and other carotenogenic species suggests an evolutionary relationship. We will explore some of the modes of transmission of carotenoid genes from carotenogenic species to metazoans. This apparent relationship has been successfully exploited in the past to identify and characterize new carotenoid and retinoid modifying enzymes. We will review approaches used to identify putative animal carotenoid enzymes, and we will describe methods used to functionally validate and analyze the biochemistry of carotenoid modifying enzymes encoded by animals.
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Affiliation(s)
- Alexander R Moise
- Northern Ontario School of Medicine, Sudbury, ON, Canada; Department of Chemistry and Biochemistry, Biology and Biomolecular Sciences Program, Laurentian University, Sudbury, ON, Canada.
| | - Sepalika Bandara
- Department of Pharmacology, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Johannes von Lintig
- Department of Pharmacology, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
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12
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Wafula EK, Zhang H, Von Kuster G, Leebens-Mack JH, Honaas LA, dePamphilis CW. PlantTribes2: Tools for comparative gene family analysis in plant genomics. FRONTIERS IN PLANT SCIENCE 2022; 13:1011199. [PMID: 36798801 PMCID: PMC9928214 DOI: 10.3389/fpls.2022.1011199] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/02/2022] [Indexed: 05/12/2023]
Abstract
Plant genome-scale resources are being generated at an increasing rate as sequencing technologies continue to improve and raw data costs continue to fall; however, the cost of downstream analyses remains large. This has resulted in a considerable range of genome assembly and annotation qualities across plant genomes due to their varying sizes, complexity, and the technology used for the assembly and annotation. To effectively work across genomes, researchers increasingly rely on comparative genomic approaches that integrate across plant community resources and data types. Such efforts have aided the genome annotation process and yielded novel insights into the evolutionary history of genomes and gene families, including complex non-model organisms. The essential tools to achieve these insights rely on gene family analysis at a genome-scale, but they are not well integrated for rapid analysis of new data, and the learning curve can be steep. Here we present PlantTribes2, a scalable, easily accessible, highly customizable, and broadly applicable gene family analysis framework with multiple entry points including user provided data. It uses objective classifications of annotated protein sequences from existing, high-quality plant genomes for comparative and evolutionary studies. PlantTribes2 can improve transcript models and then sort them, either genome-scale annotations or individual gene coding sequences, into pre-computed orthologous gene family clusters with rich functional annotation information. Then, for gene families of interest, PlantTribes2 performs downstream analyses and customizable visualizations including, (1) multiple sequence alignment, (2) gene family phylogeny, (3) estimation of synonymous and non-synonymous substitution rates among homologous sequences, and (4) inference of large-scale duplication events. We give examples of PlantTribes2 applications in functional genomic studies of economically important plant families, namely transcriptomics in the weedy Orobanchaceae and a core orthogroup analysis (CROG) in Rosaceae. PlantTribes2 is freely available for use within the main public Galaxy instance and can be downloaded from GitHub or Bioconda. Importantly, PlantTribes2 can be readily adapted for use with genomic and transcriptomic data from any kind of organism.
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Affiliation(s)
- Eric K Wafula
- Department of Biology, The Pennsylvania State University, University Park, PA, United States
| | - Huiting Zhang
- Tree Fruit Research Laboratory, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Wenatchee, WA, United States
- Department of Horticulture, Washington State University, Pullman, WA, United States
| | - Gregory Von Kuster
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States
| | | | - Loren A Honaas
- Tree Fruit Research Laboratory, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Wenatchee, WA, United States
| | - Claude W dePamphilis
- Department of Biology, The Pennsylvania State University, University Park, PA, United States
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States
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13
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Inoue J. ORTHOSCOPE*: a phylogenetic pipeline to infer gene histories from genome-wide data. Mol Biol Evol 2021; 39:6400256. [PMID: 34662403 PMCID: PMC8763121 DOI: 10.1093/molbev/msab301] [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] [Indexed: 11/13/2022] Open
Abstract
Comparative genome-scale analyses of protein-coding gene sequences are employed to examine evidence for whole-genome duplication and horizontal gene transfer. For this purpose, an orthogroup should be delineated to infer evolutionary history regarding each gene, and results of all orthogroup analyses need to be integrated to infer a genome-scale history. An orthogroup is a set of genes descended from a single gene in the last common ancestor of all species under consideration. However, such analyses confront several problems: (1) analytical pipelines to infer all gene histories with methods comparing species and gene trees are not fully developed, and (2) without detailed analyses within orthogroups, evolutionary events of paralogous genes in the same orthogroup cannot be distinguished for genome-wide integration of results derived from multiple orthogroup analyses. Here I present an analytical pipeline, ORTHOSCOPE* (star), to infer evolutionary histories of animal/plant genes from genome-scale data. ORTHOSCOPE* estimates a tree for a specified gene, detects speciation/gene duplication events that occurred at nodes belonging to only one lineage leading to a species of interest, and then integrates results derived from gene trees estimated for all query genes in genome-wide data. Thus, ORTHOSCOPE* can be used to detect species nodes just after whole genome duplications as a first step of comparative genomic analyses. Moreover, by examining the presence or absence of genes belonging to species lineages with dense taxon sampling available from the ORTHOSCOPE web version, ORTHOSCOPE* can detect genes lost in specific lineages and horizontal gene transfers. This pipeline is available at https://github.com/jun-inoue/ORTHOSCOPE_STAR.
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Affiliation(s)
- Jun Inoue
- Center for Earth Surface System Dynamics, Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan
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14
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Reed CJ, Hutinet G, de Crécy-Lagard V. Comparative Genomic Analysis of the DUF34 Protein Family Suggests Role as a Metal Ion Chaperone or Insertase. Biomolecules 2021; 11:1282. [PMID: 34572495 PMCID: PMC8469502 DOI: 10.3390/biom11091282] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/20/2021] [Accepted: 08/24/2021] [Indexed: 12/12/2022] Open
Abstract
Members of the DUF34 (domain of unknown function 34) family, also known as the NIF3 protein superfamily, are ubiquitous across superkingdoms. Proteins of this family have been widely annotated as "GTP cyclohydrolase I type 2" through electronic propagation based on one study. Here, the annotation status of this protein family was examined through a comprehensive literature review and integrative bioinformatic analyses that revealed varied pleiotropic associations and phenotypes. This analysis combined with functional complementation studies strongly challenges the current annotation and suggests that DUF34 family members may serve as metal ion insertases, chaperones, or metallocofactor maturases. This general molecular function could explain how DUF34 subgroups participate in highly diversified pathways such as cell differentiation, metal ion homeostasis, pathogen virulence, redox, and universal stress responses.
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Affiliation(s)
- Colbie J. Reed
- Department of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, USA; (C.J.R.); (G.H.)
| | - Geoffrey Hutinet
- Department of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, USA; (C.J.R.); (G.H.)
| | - Valérie de Crécy-Lagard
- Department of Microbiology and Cell Science, University of Florida, Gainesville, FL 32611, USA; (C.J.R.); (G.H.)
- Genetics Institute, University of Florida, Gainesville, FL 32611, USA
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15
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Matsumoto H, Mimori T, Fukunaga T. Novel metric for hyperbolic phylogenetic tree embeddings. Biol Methods Protoc 2021; 6:bpab006. [PMID: 33928190 PMCID: PMC8058397 DOI: 10.1093/biomethods/bpab006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 03/19/2021] [Accepted: 03/23/2021] [Indexed: 01/09/2023] Open
Abstract
Advances in experimental technologies, such as DNA sequencing, have opened up new avenues for the applications of phylogenetic methods to various fields beyond their traditional application in evolutionary investigations, extending to the fields of development, differentiation, cancer genomics, and immunogenomics. Thus, the importance of phylogenetic methods is increasingly being recognized, and the development of a novel phylogenetic approach can contribute to several areas of research. Recently, the use of hyperbolic geometry has attracted attention in artificial intelligence research. Hyperbolic space can better represent a hierarchical structure compared to Euclidean space, and can therefore be useful for describing and analyzing a phylogenetic tree. In this study, we developed a novel metric that considers the characteristics of a phylogenetic tree for representation in hyperbolic space. We compared the performance of the proposed hyperbolic embeddings, general hyperbolic embeddings, and Euclidean embeddings, and confirmed that our method could be used to more precisely reconstruct evolutionary distance. We also demonstrate that our approach is useful for predicting the nearest-neighbor node in a partial phylogenetic tree with missing nodes. Furthermore, we proposed a novel approach based on our metric to integrate multiple trees for analyzing tree nodes or imputing missing distances. This study highlights the utility of adopting a geometric approach for further advancing the applications of phylogenetic methods.
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Affiliation(s)
- Hirotaka Matsumoto
- School of Information and Data Sciences, Nagasaki University, Nagasaki, Japan.,Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research, Saitama, Japan
| | - Takahiro Mimori
- Medical Image Analysis Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Tsukasa Fukunaga
- Department of Computer Science, Graduate School of Information Science and Engineering, The University of Tokyo, Tokyo, Japan
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16
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Wu H, Nakazawa T, Xu H, Yang R, Bao D, Kawauchi M, Sakamoto M, Honda Y. Comparative transcriptional analyses of Pleurotus ostreatus mutants on beech wood and rice straw shed light on substrate-biased gene regulation. Appl Microbiol Biotechnol 2021; 105:1175-1190. [PMID: 33415371 DOI: 10.1007/s00253-020-11087-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/15/2020] [Accepted: 12/28/2020] [Indexed: 11/25/2022]
Abstract
Distinct wood degraders occupying their preferred habitats have biased enzyme repertoires that are well fitted to their colonized substrates. Pleurotus ostreatus, commonly found on wood, has evolved its own enzyme-producing traits. In our previous study, transcriptional shifts in several P. ostreatus delignification-defective mutants, including Δhir1 and Δgat1 strains, were analyzed, which revealed the downregulation of ligninolytic genes and the upregulation of cellulolytic and xylanolytic genes when compared to their parental strain 20b on beech wood sawdust medium (BWS). In this study, rice straw (RS) was used as an alternative substrate to examine the transcriptional responses of P. ostreatus to distinct substrates. The vp1 gene and a cupredoxin-encoding gene were significantly upregulated in the 20b strain on RS compared with that on BWS, reflecting their distinct regulation patterns. The overall expression level of genes encoding glucuronidases was also higher on RS than on BWS, showing a good correlation with the substrate composition. Transcriptional alterations in the mutants (Δhir1 or Δgat1 versus 20b strain) on RS were similar to those on BWS, and the extracellular lignocellulose-degrading enzyme activities and lignin-degrading ability of the mutants on RS were consistent with the transcriptional alterations of the corresponding enzyme-encoding genes. However, transcripts of specific genes encoding enzymes belonging to the same CAZyme family exhibited distinct alteration patterns in the mutant strains grown on RS compared to those grown on BWS. These findings provide new insights into the molecular mechanisms underlying the transcriptional regulation of lignocellulolytic genes in P. ostreatus.Key Points• P. ostreatus expressed variable enzymatic repertoire-related genes in response to distinct substrates.• A demand to upregulate the cellulolytic genes seems to be present in ligninolysis-deficient mutants.• The regulation of some specific genes probably driven by the demand is dependent on the substrate.
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Affiliation(s)
- Hongli Wu
- Graduate School of Agriculture, Kyoto University, Oiwakecho, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan
| | - Takehito Nakazawa
- Graduate School of Agriculture, Kyoto University, Oiwakecho, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan.
| | - Haibo Xu
- Graduate School of Agriculture, Kyoto University, Oiwakecho, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan
| | - Ruiheng Yang
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Dapeng Bao
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Moriyuki Kawauchi
- Graduate School of Agriculture, Kyoto University, Oiwakecho, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan
| | - Masahiro Sakamoto
- Graduate School of Agriculture, Kyoto University, Oiwakecho, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan
| | - Yoichi Honda
- Graduate School of Agriculture, Kyoto University, Oiwakecho, Kitashirakawa, Sakyo-ku, Kyoto, 606-8502, Japan
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17
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Chen Y, Song W, Xie X, Wang Z, Guan P, Peng H, Jiao Y, Ni Z, Sun Q, Guo W. A Collinearity-Incorporating Homology Inference Strategy for Connecting Emerging Assemblies in the Triticeae Tribe as a Pilot Practice in the Plant Pangenomic Era. MOLECULAR PLANT 2020; 13:1694-1708. [PMID: 32979565 DOI: 10.1016/j.molp.2020.09.019] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/03/2020] [Accepted: 09/21/2020] [Indexed: 05/18/2023]
Abstract
Plant genome sequencing has dramatically increased, and some species even have multiple high-quality reference versions. Demands for clade-specific homology inference and analysis have increased in the pangenomic era. Here we present a novel method, GeneTribe (https://chenym1.github.io/genetribe/), for homology inference among genetically similar genomes that incorporates gene collinearity and shows better performance than traditional sequence-similarity-based methods in terms of accuracy and scalability. The Triticeae tribe is a typical allopolyploid-rich clade with complex species relationships that includes many important crops, such as wheat, barley, and rye. We built Triticeae-GeneTribe (http://wheat.cau.edu.cn/TGT/), a homology database, by integrating 12 Triticeae genomes and 3 outgroup model genomes and implemented versatile analysis and visualization functions. With macrocollinearity analysis, we were able to construct a refined model illustrating the structural rearrangements of the 4A-5A-7B chromosomes in wheat as two major translocation events. With collinearity analysis at both the macro- and microscale, we illustrated the complex evolutionary history of homologs of the wheat vernalization gene Vrn2, which evolved as a combined result of genome translocation, duplication, and polyploidization and gene loss events. Our work provides a useful practice for connecting emerging genome assemblies, with awareness of the extensive polyploidy in plants, and will help researchers efficiently exploit genome sequence resources.
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Affiliation(s)
- Yongming Chen
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Wanjun Song
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; Beijing Geek Gene Technology Co Ltd, Beijing 100193, China
| | - Xiaoming Xie
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zihao Wang
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Panfeng Guan
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yuannian Jiao
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhongfu Ni
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Key Laboratory of Crop Heterosis and Utilization, State Key Laboratory for Agrobiotechnology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China.
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18
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Halabi K, Karin EL, Guéguen L, Mayrose I. A Codon Model for Associating Phenotypic Traits with Altered Selective Patterns of Sequence Evolution. Syst Biol 2020; 70:608-622. [PMID: 33252676 DOI: 10.1093/sysbio/syaa087] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 01/10/2023] Open
Abstract
Detecting the signature of selection in coding sequences and associating it with shifts in phenotypic states can unveil genes underlying complex traits. Of the various signatures of selection exhibited at the molecular level, changes in the pattern of selection at protein-coding genes have been of main interest. To this end, phylogenetic branch-site codon models are routinely applied to detect changes in selective patterns along specific branches of the phylogeny. Many of these methods rely on a prespecified partition of the phylogeny to branch categories, thus treating the course of trait evolution as fully resolved and assuming that phenotypic transitions have occurred only at speciation events. Here, we present TraitRELAX, a new phylogenetic model that alleviates these strong assumptions by explicitly accounting for the uncertainty in the evolution of both trait and coding sequences. This joint statistical framework enables the detection of changes in selection intensity upon repeated trait transitions. We evaluated the performance of TraitRELAX using simulations and then applied it to two case studies. Using TraitRELAX, we found an intensification of selection in the primate SEMG2 gene in polygynandrous species compared to species of other mating forms, as well as changes in the intensity of purifying selection operating on sixteen bacterial genes upon transitioning from a free-living to an endosymbiotic lifestyle.[Evolutionary selection; intensification; $\gamma $-proteobacteria; genotype-phenotype; relaxation; SEMG2.].
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Affiliation(s)
- Keren Halabi
- School of Plant Sciences and Food Security, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Eli Levy Karin
- Quantitative and Computational Biology, Max-Planck institute for biophysical Chemistry, Göttingen 37077, Germany
| | - Laurent Guéguen
- Université de Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR 5558, F-69622 Villeurbanne, France.,Swedish Collegium for Advanced Study, Thunbergsvägen 2 752 38 Uppsala, Sweden
| | - Itay Mayrose
- School of Plant Sciences and Food Security, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
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19
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Gao JG. Tracking the evolutionary innovations of plant terrestrialization. Gene 2020; 769:145203. [PMID: 33031891 DOI: 10.1016/j.gene.2020.145203] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 09/15/2020] [Accepted: 09/29/2020] [Indexed: 11/16/2022]
Abstract
The gradual transition of the algal ancestor from the freshwater to land has always attracted evolutionary biologists. The recent report of high-quality reference genomes of five Charophyta algae (Spirogloea muscicola, Mesotaenium endlicherianum, Mesostigma viride, Chlorokybus atmophyticus and Penium margaritaceum) and one hornwort (Anthoceros angustus) species sheds light on this fascinating transition. These early diverging plants and algae could have gained new genes from soil bacteria and fungi through horizontal gene transfer (HGT), which was so common during plant terrestrialization and may outrun our expectations. Through reviewing and critical thinking about the advancements on these plant genomes, here, I propose three prospective research directions that need to address in the future: (i) due to the ubiquitous nature of viruses that is similar to soil bacteria and fungi, there is less attention to viruses that probably also play an important role in the genome evolution of plants via HGT; (ii) multicellularity has occurred many times independently, but we still know a little about the biological and ecological mechanisms leading to multi-cellularity in Streptophyta; (iii) and most importantly, the quantitative relationships between genetic innovations and environmental variables such as temperature, precipitation and solar radiation, need pioneering research collaborated by biological evolutionists, computer scientists, and ecologists, which are crucial for understanding the macroevolution of plants and could also be used to simulate the evolution of plants under future climate change.
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Affiliation(s)
- Jian-Guo Gao
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, No.5 Yiheyuan Road Haidian District, Beijing 100871, PR China.
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20
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Malatesta M, Mori G, Acquotti D, Campanini B, Peracchi A, Antin PB, Percudani R. Birth of a pathway for sulfur metabolism in early amniote evolution. Nat Ecol Evol 2020; 4:1239-1246. [PMID: 32601391 PMCID: PMC8364350 DOI: 10.1038/s41559-020-1232-4] [Citation(s) in RCA: 2] [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: 02/04/2020] [Accepted: 05/22/2020] [Indexed: 11/09/2022]
Abstract
Among amniotes, reptiles and mammals are differently adapted to terrestrial life. It is generally appreciated that terrestrialization required adaptive changes of vertebrate metabolism, particularly in the mode of nitrogen excretion. However, the current paradigm is that metabolic adaptation to life on land did not involve synthesis of enzymatic pathways de novo, but rather repurposing of existing ones. Here, by comparing the inventory of pyridoxal 5'-phosphate-dependent enzymes in different amniotes, we identify in silico a pathway for sulfur metabolism present in chick embryos but not in mammals. Cysteine lyase contains haem and pyridoxal 5'-phosphate co-factors and converts cysteine and sulfite into cysteic acid and hydrogen sulfide, respectively. A specific cysteic acid decarboxylase produces taurine, while hydrogen sulfide is recycled into cysteine by cystathionine beta-synthase. This reaction sequence enables the formation of sulfonated amino acids during embryo development in the egg at no cost of reduced sulfur. The pathway originated around 300 million years ago in a proto-reptile by cystathionine beta-synthase duplication, cysteine lyase neofunctionalization and cysteic acid decarboxylase co-option. Our findings indicate that adaptation to terrestrial life involved innovations in metabolic pathways, and reveal the molecular mechanisms by which such innovations arose in amniote evolution.
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Affiliation(s)
- Marco Malatesta
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Giulia Mori
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Domenico Acquotti
- Centro Interdipartimentale Misure 'Giuseppe Casnati', University of Parma, Parma, Italy
| | | | - Alessio Peracchi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Parker B Antin
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, USA
| | - Riccardo Percudani
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
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