101
|
Mi X, Yue Y, Tang M, An Y, Xie H, Qiao D, Ma Z, Liu S, Wei C. TeaAS: a comprehensive database for alternative splicing in tea plants (Camellia sinensis). BMC PLANT BIOLOGY 2021; 21:280. [PMID: 34154536 PMCID: PMC8215737 DOI: 10.1186/s12870-021-03065-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/25/2021] [Indexed: 05/08/2023]
Abstract
Alternative splicing (AS) increases the diversity of transcripts and proteins through the selection of different splice sites and plays an important role in the growth, development and stress tolerance of plants. With the release of the reference genome of the tea plant (Camellia sinensis) and the development of transcriptome sequencing, researchers have reported the existence of AS in tea plants. However, there is a lack of a platform, centered on different RNA-seq datasets, that provides comprehensive information on AS.To facilitate access to information on AS and reveal the molecular function of AS in tea plants, we established the first comprehensive AS database for tea plants (TeaAS, http://www.teaas.cn/index.php ). In this study, 3.96 Tb reads from 66 different RNA-seq datasets were collected to identify AS events. TeaAS supports four methods of retrieval of AS information based on gene ID, gene name, annotation (non-redundant/Kyoto encyclopedia of genes and genomes/gene ontology annotation or chromosomal location) and RNA-seq data. It integrates data pertaining to genome annotation, type of AS event, transcript sequence, and isoforms expression levels from 66 RNA-seq datasets. The AS events resulting from different environmental conditions and that occurring in varied tissue types, and the expression levels of specific transcripts can be clearly identified through this online database. Moreover, it also provides two useful tools, Basic Local Alignment Search Tool and Generic Genome Browser, for sequence alignment and visualization of gene structure.The features of the TeaAS database make it a comprehensive AS bioinformatics platform for researchers, as well as a reference for studying AS events in woody crops. It could also be helpful for revealing the novel biological functions of AS in gene regulation in tea plants.
Collapse
Affiliation(s)
- Xiaozeng Mi
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Yi Yue
- School of Information and Computer, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Mengsha Tang
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Yanlin An
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Hui Xie
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Dahe Qiao
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Zhiyu Ma
- School of Information and Computer, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Shengrui Liu
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China
| | - Chaoling Wei
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, West 130 Changjiang Road, Hefei, Anhui, 230036, People's Republic of China.
| |
Collapse
|
102
|
Barreira SN, Nguyen AD, Fredriksen MT, Wolfsberg TG, Moreland RT, Baxevanis AD. AniProtDB: A Collection of Consistently Generated Metazoan Proteomes for Comparative Genomics Studies. Mol Biol Evol 2021; 38:4628-4633. [PMID: 34048573 DOI: 10.1093/molbev/msab165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
To address the void in the availability of high-quality proteomic data traversing the animal tree, we have implemented a pipeline for generating de novo assemblies based on publicly available data from the NCBI Sequence Read Archive, yielding a comprehensive collection of proteomes from 100 species spanning 21 animal phyla. We have also created the Animal Proteome Database (AniProtDB), a resource providing open access to this collection of high-quality metazoan proteomes, along with information on predicted proteins and protein domains for each taxonomic classification and the ability to perform sequence similarity searches against all proteomes generated using this pipeline. This solution vastly increases the utility of these data by removing the barrier to access for research groups who do not have the expertise or resources to generate these data themselves and enables the use of data from non-traditional research organisms that have the potential to address key questions in biomedicine.
Collapse
Affiliation(s)
- Sofia N Barreira
- Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Anh-Dao Nguyen
- Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Mark T Fredriksen
- Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Tyra G Wolfsberg
- Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - R Travis Moreland
- Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Andreas D Baxevanis
- Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA
| |
Collapse
|
103
|
Hu D, Zhang P, Chen M. Database Resources for Functional Circular RNAs. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2021; 2284:457-466. [PMID: 33835457 DOI: 10.1007/978-1-0716-1307-8_24] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Circular RNA (or circRNA) is a type of single-stranded covalently closed circular RNA molecule and play important roles in diverse biological pathways. A comprehensive functionally annotated circRNA database will help to understand the circRNAs and their functions. CircFunBase is such a web-accessible database that aims to provide a high-quality functional circRNA resource including experimentally validated and computationally predicted functions. CircFunBase provides visualized circRNA-miRNA interaction networks. In addition, a genome browser is provided to visualize the genome context of circRNA. In this chapter, we illustrate examples of searching for circRNA and getting detailed information of circRNA. Moreover, other circRNA related databases are outlined.
Collapse
Affiliation(s)
- Dahui Hu
- Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Peijing Zhang
- Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Ming Chen
- Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China.
| |
Collapse
|
104
|
Caurcel C, Laetsch DR, Challis R, Kumar S, Gharbi K, Blaxter M. MolluscDB: a genome and transcriptome database for molluscs. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200157. [PMID: 33813885 PMCID: PMC8059625 DOI: 10.1098/rstb.2020.0157] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
As sequencing becomes more accessible and affordable, the analysis of genomic and transcriptomic data has become a cornerstone of many research initiatives. Communities with a focus on particular taxa or ecosystems need solutions capable of aggregating genomic resources and serving them in a standardized and analysis-friendly manner. Taxon-focussed resources can be more flexible in addressing the needs of a research community than can universal or general databases. Here, we present MolluscDB, a genome and transcriptome database for molluscs. MolluscDB offers a rich ecosystem of tools, including an Ensembl browser, a BLAST server for homology searches and an HTTP server from which any dataset present in the database can be downloaded. To demonstrate the utility of the database and verify the quality of its data, we imported data from assembled genomes and transcriptomes of 22 species, estimated the phylogeny of Mollusca using single-copy orthologues, explored patterns of gene family size change and interrogated the data for biomineralization-associated enzymes and shell matrix proteins. MolluscDB provides an easy-to-use and openly accessible data resource for the research community. This article is part of the Theo Murphy meeting issue 'Molluscan genomics: broad insights and future directions for a neglected phylum'.
Collapse
Affiliation(s)
- Carlos Caurcel
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK
| | - Dominik R Laetsch
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK
| | - Richard Challis
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK.,Tree of Life Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Sujai Kumar
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK.,Tree of Life Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Karim Gharbi
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK.,Edinburgh Genomics, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK
| | - Mark Blaxter
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, UK.,Tree of Life Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| |
Collapse
|
105
|
Terraneo TI, Benzoni F, Arrigoni R, Baird AH, Mariappan KG, Forsman ZH, Wooster MK, Bouwmeester J, Marshell A, Berumen ML. Phylogenomics of Porites from the Arabian Peninsula. Mol Phylogenet Evol 2021; 161:107173. [PMID: 33813021 DOI: 10.1016/j.ympev.2021.107173] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 11/16/2022]
Abstract
The advent of high throughput sequencing technologies provides an opportunity to resolve phylogenetic relationships among closely related species. By incorporating hundreds to thousands of unlinked loci and single nucleotide polymorphisms (SNPs), phylogenomic analyses have a far greater potential to resolve species boundaries than approaches that rely on only a few markers. Scleractinian taxa have proved challenging to identify using traditional morphological approaches and many groups lack an adequate set of molecular markers to investigate their phylogenies. Here, we examine the potential of Restriction-site Associated DNA sequencing (RADseq) to investigate phylogenetic relationships and species limits within the scleractinian coral genus Porites. A total of 126 colonies were collected from 16 localities in the seas surrounding the Arabian Peninsula and ascribed to 12 nominal and two unknown species based on their morphology. Reference mapping was used to retrieve and compare nearly complete mitochondrial genomes, ribosomal DNA, and histone loci. De novo assembly and reference mapping to the P. lobata coral transcriptome were compared and used to obtain thousands of genome-wide loci and SNPs. A suite of species discovery methods (phylogenetic, ordination, and clustering analyses) and species delimitation approaches (coalescent-based, species tree, and Bayesian Factor delimitation) suggested the presence of eight molecular lineages, one of which included six morphospecies. Our phylogenomic approach provided a fully supported phylogeny of Porites from the Arabian Peninsula, suggesting the power of RADseq data to solve the species delineation problem in this speciose coral genus.
Collapse
Affiliation(s)
- Tullia I Terraneo
- Red Sea Research Centre, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville 4811, QLD, Australia.
| | - Francesca Benzoni
- Red Sea Research Centre, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Roberto Arrigoni
- Red Sea Research Centre, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia; European Commission, Joint Research Centre (JRC), Ispra, Italy; Department of Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn Napoli, Villa Comunale, 80121 Napoli, Italy
| | - Andrew H Baird
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville 4811, QLD, Australia
| | - Kiruthiga G Mariappan
- Red Sea Research Centre, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Zac H Forsman
- Hawaii Institute of Marine Biology, Kaneohe 96744, HI, USA
| | - Michael K Wooster
- Red Sea Research Centre, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | | | - Alyssa Marshell
- Department of Marine Science and Fisheries, College of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat, Oman
| | - Michael L Berumen
- Red Sea Research Centre, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| |
Collapse
|
106
|
Adams TM, Olsson TSG, Ramírez-González RH, Bryant R, Bryson R, Campos PE, Fenwick P, Feuerhelm D, Hayes C, Henriksson T, Hubbard A, Jevtić R, Judge C, Kerton M, Lage J, Lewis CM, Lilly C, Meidan U, Novoselović D, Patrick C, Wanyera R, Saunders DGO. Rust expression browser: an open source database for simultaneous analysis of host and pathogen gene expression profiles with expVIP. BMC Genomics 2021; 22:166. [PMID: 33750297 PMCID: PMC7941908 DOI: 10.1186/s12864-021-07488-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/26/2021] [Indexed: 01/05/2023] Open
Abstract
Background Transcriptomics is being increasingly applied to generate new insight into the interactions between plants and their pathogens. For the wheat yellow (stripe) rust pathogen (Puccinia striiformis f. sp. tritici, Pst) RNA-based sequencing (RNA-Seq) has proved particularly valuable, overcoming the barriers associated with its obligate biotrophic nature. This includes the application of RNA-Seq approaches to study Pst and wheat gene expression dynamics over time and the Pst population composition through the use of a novel RNA-Seq based surveillance approach called “field pathogenomics”. As a dual RNA-Seq approach, the field pathogenomics technique also provides gene expression data from the host, giving new insight into host responses. However, this has created a wealth of data for interrogation. Results Here, we used the field pathogenomics approach to generate 538 new RNA-Seq datasets from Pst-infected field wheat samples, doubling the amount of transcriptomics data available for this important pathosystem. We then analysed these datasets alongside 66 RNA-Seq datasets from four Pst infection time-courses and 420 Pst-infected plant field and laboratory samples that were publicly available. A database of gene expression values for Pst and wheat was generated for each of these 1024 RNA-Seq datasets and incorporated into the development of the rust expression browser (http://www.rust-expression.com). This enables for the first time simultaneous ‘point-and-click’ access to gene expression profiles for Pst and its wheat host and represents the largest database of processed RNA-Seq datasets available for any of the three Puccinia wheat rust pathogens. We also demonstrated the utility of the browser through investigation of expression of putative Pst virulence genes over time and examined the host plants response to Pst infection. Conclusions The rust expression browser offers immense value to the wider community, facilitating data sharing and transparency and the underlying database can be continually expanded as more datasets become publicly available. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07488-3.
Collapse
Affiliation(s)
- Thomas M Adams
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | | | | | - Ruth Bryant
- RAGT Seeds Ltd, Grange Road, Ickleton, Essex, CB10 1TA, UK
| | - Rosie Bryson
- BASF SE, Agricultural Centre, Limburgerhof, Germany
| | | | | | - David Feuerhelm
- Syngenta Seeds Ltd, Hill Farm Road, Cambridgeshire, CB22 4QT, UK
| | | | | | | | | | | | - Matthew Kerton
- DSV United Kingdom Ltd, Banbury, Oxfordshire, OX17 1FE, UK
| | - Jacob Lage
- KWS UK Limited, Hertfordshire, SG8 7RE, UK
| | - Clare M Lewis
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Christine Lilly
- Frontier Agriculture, Witham St Hughs, Lincolnshire, LN6 9TN, UK
| | - Udi Meidan
- Hazera Seeds Ltd., Berurim M.P Shikmim, 7983700, Tel Aviv-Yafo, Israel
| | | | - Colin Patrick
- Masstock Arable (UK) Ltd. (trading as Agrii), Andoversford, Gloucestershire, GL54 4LZ, UK
| | - Ruth Wanyera
- Kenya Agricultural and Livestock Research Organization, Njoro, Nakuru, Kenya
| | | |
Collapse
|
107
|
Bock CH, Young CA, Zhang M, Chen C, Brannen PM, Adaskaveg J, Charlton ND. Mating Type Idiomorphs, Heterothallism, and High Genetic Diversity in Venturia carpophila, Cause of Peach Scab. PHYTOPATHOLOGY 2021; 111:408-424. [PMID: 32748736 DOI: 10.1094/phyto-12-19-0485-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Scab (caused by Venturia carpophila) is a major disease affecting peach in the eastern United States. The aims of the study were to characterize the mating-type loci in V. carpophila, determine whether they are in equilibrium, and assess the population genetic diversity and structure of the pathogen. The mating-type gene MAT1-1-1 was identified in isolate JP3-5 in an available genome sequence, and the MAT1-2-1 gene was PCR amplified from isolate PS1-1, thus indicating a heterothallic structure. Mating-type loci structures were consistent with those of other Venturia spp. (V. effusa and V. inaequalis): the mating-type gene is positioned between APN2 encoding a DNA lyase and a gene encoding a Pleckstrin homology domain. Primers designed to each of the mating-type genes and a reference gene TUB2 were used as a multiplex PCR to screen a population (n = 81) of V. carpophila from various locations in the eastern United States. Mating types in five of the nine populations studied were in equilibrium. Among the 81 isolates, there were 69 multilocus genotypes. A population genetic analysis of the populations with >10 individuals (four populations) showed them to be genetically diverse. Linkage disequilibrium was found in five of nine populations with ≥4 isolates. A discriminant analysis of principal components indicated three genetic clusters, although extensive admixture was observed. Mating-type identification in V. carpophila provides a basis for understanding reproductive methods of the pathogen and can be a basis for further studies of the genetics of the peach scab pathogen.
Collapse
Affiliation(s)
- Clive H Bock
- United States Department of Agriculture-Agricultural Research Service-Southeastern Fruit and Tree Nut Research Laboratory, Byron, GA 31008
| | - Carolyn A Young
- Noble Research Institute, LLC, 2510 Sam Noble Parkway, Ardmore, OK 73401
| | - Minling Zhang
- United States Department of Agriculture-Agricultural Research Service-Southeastern Fruit and Tree Nut Research Laboratory, Byron, GA 31008
| | - Chunxian Chen
- United States Department of Agriculture-Agricultural Research Service-Southeastern Fruit and Tree Nut Research Laboratory, Byron, GA 31008
| | - Phillip M Brannen
- Department of Plant Pathology, University of Georgia, 2105 Miller Plant Sciences Building, Athens, GA 30602
| | - Jim Adaskaveg
- Department of Plant Pathology and Microbiology, University of California Riverside, Riverside, CA 92521
| | - Nikki D Charlton
- Noble Research Institute, LLC, 2510 Sam Noble Parkway, Ardmore, OK 73401
| |
Collapse
|
108
|
Garczarek L, Guyet U, Doré H, Farrant GK, Hoebeke M, Brillet-Guéguen L, Bisch A, Ferrieux M, Siltanen J, Corre E, Le Corguillé G, Ratin M, Pitt FD, Ostrowski M, Conan M, Siegel A, Labadie K, Aury JM, Wincker P, Scanlan DJ, Partensky F. Cyanorak v2.1: a scalable information system dedicated to the visualization and expert curation of marine and brackish picocyanobacteria genomes. Nucleic Acids Res 2021; 49:D667-D676. [PMID: 33125079 PMCID: PMC7779031 DOI: 10.1093/nar/gkaa958] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/22/2020] [Accepted: 10/28/2020] [Indexed: 12/05/2022] Open
Abstract
Cyanorak v2.1 (http://www.sb-roscoff.fr/cyanorak) is an information system dedicated to visualizing, comparing and curating the genomes of Prochlorococcus, Synechococcus and Cyanobium, the most abundant photosynthetic microorganisms on Earth. The database encompasses sequences from 97 genomes, covering most of the wide genetic diversity known so far within these groups, and which were split into 25,834 clusters of likely orthologous groups (CLOGs). The user interface gives access to genomic characteristics, accession numbers as well as an interactive map showing strain isolation sites. The main entry to the database is through search for a term (gene name, product, etc.), resulting in a list of CLOGs and individual genes. Each CLOG benefits from a rich functional annotation including EggNOG, EC/K numbers, GO terms, TIGR Roles, custom-designed Cyanorak Roles as well as several protein motif predictions. Cyanorak also displays a phyletic profile, indicating the genotype and pigment type for each CLOG, and a genome viewer (Jbrowse) to visualize additional data on each genome such as predicted operons, genomic islands or transcriptomic data, when available. This information system also includes a BLAST search tool, comparative genomic context as well as various data export options. Altogether, Cyanorak v2.1 constitutes an invaluable, scalable tool for comparative genomics of ecologically relevant marine microorganisms.
Collapse
Affiliation(s)
- Laurence Garczarek
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
| | - Ulysse Guyet
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
| | - Hugo Doré
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
| | - Gregory K Farrant
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France.,CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Mark Hoebeke
- CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Loraine Brillet-Guéguen
- CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France.,Sorbonne Université & CNRS, UMR 8227 'Integrative Biology of Marine Models' (LBI2M), Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Antoine Bisch
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France.,CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Mathilde Ferrieux
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
| | - Jukka Siltanen
- CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Erwan Corre
- CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Gildas Le Corguillé
- CNRS & Sorbonne Université, FR 2424, ABiMS Platform, Station Biologique de Roscoff (SBR), F-29680 Roscoff, France
| | - Morgane Ratin
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
| | - Frances D Pitt
- University of Warwick, School of Life Sciences, Coventry CV4 7AL, UK
| | - Martin Ostrowski
- University of Warwick, School of Life Sciences, Coventry CV4 7AL, UK
| | - Maël Conan
- Université de Rennes 1, INSERM, EHESP, IRSET, F-35043 Rennes, France
| | - Anne Siegel
- Université de Rennes 1, INRIA, CNRS, IRISA, F-35000 Rennes, France
| | - Karine Labadie
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, F-91000 Evry, France
| | - Jean-Marc Aury
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, F-91000 Evry, France
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut de biologie François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, F-91000 Evry, France
| | - David J Scanlan
- University of Warwick, School of Life Sciences, Coventry CV4 7AL, UK
| | - Frédéric Partensky
- Sorbonne Université & CNRS, UMR 7144 'Adaptation & Diversity in the Marine Environment' (AD2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
| |
Collapse
|
109
|
Darragh K, Orteu A, Black D, Byers KJRP, Szczerbowski D, Warren IA, Rastas P, Pinharanda A, Davey JW, Fernanda Garza S, Abondano Almeida D, Merrill RM, McMillan WO, Schulz S, Jiggins CD. A novel terpene synthase controls differences in anti-aphrodisiac pheromone production between closely related Heliconius butterflies. PLoS Biol 2021; 19:e3001022. [PMID: 33465061 PMCID: PMC7815096 DOI: 10.1371/journal.pbio.3001022] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 11/30/2020] [Indexed: 02/07/2023] Open
Abstract
Plants and insects often use the same compounds for chemical communication, but not much is known about the genetics of convergent evolution of chemical signals. The terpene (E)-β-ocimene is a common component of floral scent and is also used by the butterfly Heliconius melpomene as an anti-aphrodisiac pheromone. While the biosynthesis of terpenes has been described in plants and microorganisms, few terpene synthases (TPSs) have been identified in insects. Here, we study the recent divergence of 2 species, H. melpomene and Heliconius cydno, which differ in the presence of (E)-β-ocimene; combining linkage mapping, gene expression, and functional analyses, we identify 2 novel TPSs. Furthermore, we demonstrate that one, HmelOS, is able to synthesise (E)-β-ocimene in vitro. We find no evidence for TPS activity in HcydOS (HmelOS ortholog of H. cydno), suggesting that the loss of (E)-β-ocimene in this species is the result of coding, not regulatory, differences. The TPS enzymes we discovered are unrelated to previously described plant and insect TPSs, demonstrating that chemical convergence has independent evolutionary origins. Plants and insects often use the same compounds for chemical communication, but little is known about the convergent evolution of such chemical signals. This study identifies a novel terpene synthase involved in production of an anti-aphrodisiac pheromone by the butterfly Heliconius melpomene. This enzyme is unrelated to other insect terpene synthases, providing evidence that the ability to synthesise terpenes has arisen multiple times independently within the insects.
Collapse
Affiliation(s)
- Kathy Darragh
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
- Smithsonian Tropical Research Institute, Panamá, Panamá
- * E-mail:
| | - Anna Orteu
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | - Daniella Black
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
- School of Biology, University of St Andrews, St Andrews, United Kingdom
| | - Kelsey J. R. P. Byers
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
- Smithsonian Tropical Research Institute, Panamá, Panamá
| | - Daiane Szczerbowski
- Institute of Organic Chemistry, Department of Life Sciences, Technische Universität Braunschweig, Braunschweig, Germany
| | - Ian A. Warren
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | - Pasi Rastas
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Ana Pinharanda
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | - John W. Davey
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Richard M. Merrill
- Smithsonian Tropical Research Institute, Panamá, Panamá
- Division of Evolutionary Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Stefan Schulz
- Institute of Organic Chemistry, Department of Life Sciences, Technische Universität Braunschweig, Braunschweig, Germany
| | - Chris D. Jiggins
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
- Smithsonian Tropical Research Institute, Panamá, Panamá
| |
Collapse
|
110
|
Wang H, Liu S, Dai X, Yang Y, Luo Y, Gao Y, Liu X, Wei W, Wang H, Xu X, Reddy ASN, Jaiswal P, Li W, Liu B, Gu L. PSDX: A Comprehensive Multi-Omics Association Database of Populus trichocarpa With a Focus on the Secondary Growth in Response to Stresses. FRONTIERS IN PLANT SCIENCE 2021; 12:655565. [PMID: 34122478 PMCID: PMC8195342 DOI: 10.3389/fpls.2021.655565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/26/2021] [Indexed: 05/16/2023]
Abstract
Populus trichocarpa (P. trichocarpa) is a model tree for the investigation of wood formation. In recent years, researchers have generated a large number of high-throughput sequencing data in P. trichocarpa. However, no comprehensive database that provides multi-omics associations for the investigation of secondary growth in response to diverse stresses has been reported. Therefore, we developed a public repository that presents comprehensive measurements of gene expression and post-transcriptional regulation by integrating 144 RNA-Seq, 33 ChIP-seq, and six single-molecule real-time (SMRT) isoform sequencing (Iso-seq) libraries prepared from tissues subjected to different stresses. All the samples from different studies were analyzed to obtain gene expression, co-expression network, and differentially expressed genes (DEG) using unified parameters, which allowed comparison of results from different studies and treatments. In addition to gene expression, we also identified and deposited pre-processed data about alternative splicing (AS), alternative polyadenylation (APA) and alternative transcription initiation (ATI). The post-transcriptional regulation, differential expression, and co-expression network datasets were integrated into a new P. trichocarpa Stem Differentiating Xylem (PSDX) database (http://forestry.fafu.edu.cn/db/SDX), which further highlights gene families of RNA-binding proteins and stress-related genes. The PSDX also provides tools for data query, visualization, a genome browser, and the BLAST option for sequence-based query. Much of the data is also available for bulk download. The availability of PSDX contributes to the research related to the secondary growth in response to stresses in P. trichocarpa, which will provide new insights that can be useful for the improvement of stress tolerance in woody plants.
Collapse
Affiliation(s)
- Huiyuan Wang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Sheng Liu
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xiufang Dai
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China
| | - Yongkang Yang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yunjun Luo
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yubang Gao
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xuqing Liu
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wentao Wei
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Huihui Wang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xi Xu
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Anireddy S. N. Reddy
- Department of Biology and Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO, United States
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Wei Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China
| | - Bo Liu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
- *Correspondence: Bo Liu,
| | - Lianfeng Gu
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
- Lianfeng Gu,
| |
Collapse
|
111
|
Sakuraoka R, Someya N, Takeuchi K, Suzuki T, Morohoshi T. Comparative Genome Analysis Reveals Differences in Biocontrol Efficacy According to Each Individual Isolate Belonging to Rhizospheric Fluorescent Pseudomonads. Microbes Environ 2021; 36. [PMID: 34321367 PMCID: PMC8446755 DOI: 10.1264/jsme2.me21034] [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: 12/03/2022] Open
Abstract
Biocontrol fluorescent pseudomonads produce a number of antibiotic organic compounds, including 2,4-diacetylphloroglucinol, pyoluteorin, pyrrolnitrin, and phenazine. We previously classified rhizospheric fluorescent pseudomonads harboring antibiotic biosynthetic gene clusters into 10 operational taxonomic units (OTUs). In the present study, we report the complete genome sequences of selected strains from these OTUs. The genetic diversity of antibiotic biosynthetic gene clusters and their surrounding sequences correlated with the OTU classification. In comparisons of the biocontrol activity and distribution of antibiotic biosynthetic gene clusters, we found that the pyrrolnitrin biosynthetic gene cluster more effectively controlled the growth of Rhizoctonia solani.
Collapse
Affiliation(s)
- Ryohei Sakuraoka
- Department of Innovation Systems Engineering, Graduate School of Engineering, Utsunomiya University
| | - Nobutaka Someya
- Institute for Plant Protection, National Agriculture and Food Research Organization (NARO)
| | | | - Tomohiro Suzuki
- Center for Bioscience Research and Education, Utsunomiya University
| | - Tomohiro Morohoshi
- Department of Innovation Systems Engineering, Graduate School of Engineering, Utsunomiya University
| |
Collapse
|
112
|
NBIGV-DB: A dedicated database of non-B cell derived immunoglobulin variable region. Gene 2020; 772:145378. [PMID: 33359127 DOI: 10.1016/j.gene.2020.145378] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/02/2020] [Accepted: 12/15/2020] [Indexed: 11/22/2022]
Abstract
Immunoglobulins (Ig) are important immune molecules that possess highly diverse variable region sequences enabling antigen recognition. According to classical immune theory, B lymphocytes have been considered the only source of Ig production (B-Igs). However, accumulating evidence have suggested that Igs are also produced by many non-B cells (non-B Igs), including epithelial cells, neurons, germ cells, as well as myeloid cells of hemopoietic system. Besides acting as bona fide antibodies, Non-B Igs have alternative cellular functions, such as promotion of cell survival, adhesion and migration. More importantly, Unlike the unlimited sequence diversity of B-Igs, the non-B Igs exhibit conserved V(D)J patterns across the same lineages. To support the analysis and comparison of variable region sequences from Igs, produced by B and non-B cells, we established a database (NBIGV) constituted by a non-B Ig variable region repertoire, which includes 727,989 VHDJH and VκJκ recombination sequences of non-B Igs sequenced from mouse samples. Upon database search, users can view, browse and investigate the variable region sequences of non-B Igs according to respective mice strains and tissues as well as Ig classes. Moreover, users can easily download selected sequences and/or compare sequences of interest with known non-B Ig sequences present in the database using NCBI-BLAST algorithms. Additionally, our database integrates a submission page and supplementary sample information. The NBIGV database may serve as a valuable resource for sequence analyses of Non-B Igs. NBIGV database is freely available at http://nbigv.org.
Collapse
|
113
|
Triant DA, Le Tourneau JJ, Diesh CM, Unni DR, Shamimuzzaman M, Walsh AT, Gardiner J, Goldkamp AK, Li Y, Nguyen HN, Roberts C, Zhao Z, Alexander LJ, Decker JE, Schnabel RD, Schroeder SG, Sonstegard TS, Taylor JF, Rivera RM, Hagen DE, Elsik CG. Using online tools at the Bovine Genome Database to manually annotate genes in the new reference genome. Anim Genet 2020; 51:675-682. [PMID: 32537769 PMCID: PMC7540445 DOI: 10.1111/age.12962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2020] [Indexed: 12/16/2022]
Abstract
With the availability of a new highly contiguous Bos taurus reference genome assembly (ARS-UCD1.2), it is the opportune time to upgrade the bovine gene set by seeking input from researchers. Furthermore, advances in graphical genome annotation tools now make it possible for researchers to leverage sequence data generated with the latest technologies to collaboratively curate genes. For many years the Bovine Genome Database (BGD) has provided tools such as the Apollo genome annotation editor to support manual bovine gene curation. The goal of this paper is to explain the reasoning behind the decisions made in the manual gene curation process while providing examples using the existing BGD tools. We will describe the sources of gene annotation evidence provided at the BGD, including RNA-seq and Iso-Seq data. We will also explain how to interpret various data visualizations when curating gene models, and will demonstrate the value of manual gene annotation. The process described here can be applied to manual gene curation for other species with similar tools. With a better understanding of manual gene annotation, researchers will be encouraged to edit gene models and contribute to the enhancement of livestock gene sets.
Collapse
Affiliation(s)
- D. A. Triant
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | | | - C. M. Diesh
- Department of BioengineeringUniversity of California, BerkeleyBerkeleyCA94720USA
| | - D. R. Unni
- Division of Environmental Genomics and Systems BiologyLawrence Berkeley National LaboratoryBerkeleyCA94608USA
| | - M. Shamimuzzaman
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - A. T. Walsh
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - J. Gardiner
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - A. K. Goldkamp
- Department of Animal and Food SciencesOklahoma State UniversityStillwaterOK74078USA
| | - Y. Li
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - H. N. Nguyen
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
- MU Institute for Data Science and InformaticsUniversity of MissouriColumbiaMO65211USA
| | - C. Roberts
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - Z. Zhao
- Division of Plant SciencesUniversity of MissouriColumbiaMO65211USA
| | - L. J. Alexander
- USDA‐ARS‐PA‐Livestock & Range Research LabMiles CityMT59301USA
| | - J. E. Decker
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
- MU Institute for Data Science and InformaticsUniversity of MissouriColumbiaMO65211USA
| | - R. D. Schnabel
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
- MU Institute for Data Science and InformaticsUniversity of MissouriColumbiaMO65211USA
| | - S. G. Schroeder
- USDA‐ARS Animal Genomics and Improvement LabBeltsvilleMD20705USA
| | | | - J. F. Taylor
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - R. M. Rivera
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
| | - D. E. Hagen
- Department of Animal and Food SciencesOklahoma State UniversityStillwaterOK74078USA
| | - C. G. Elsik
- Division of Animal SciencesUniversity of MissouriColumbiaMO65211USA
- MU Institute for Data Science and InformaticsUniversity of MissouriColumbiaMO65211USA
- Division of Plant SciencesUniversity of MissouriColumbiaMO65211USA
| |
Collapse
|
114
|
Braymer JJ, Freibert SA, Rakwalska-Bange M, Lill R. Mechanistic concepts of iron-sulfur protein biogenesis in Biology. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2020; 1868:118863. [PMID: 33007329 DOI: 10.1016/j.bbamcr.2020.118863] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 09/14/2020] [Accepted: 09/17/2020] [Indexed: 02/08/2023]
Abstract
Iron-sulfur (Fe/S) proteins are present in virtually all living organisms and are involved in numerous cellular processes such as respiration, photosynthesis, metabolic reactions, nitrogen fixation, radical biochemistry, protein synthesis, antiviral defense, and genome maintenance. Their versatile functions may go back to the proposed role of their Fe/S cofactors in the origin of life as efficient catalysts and electron carriers. More than two decades ago, it was discovered that the in vivo synthesis of cellular Fe/S clusters and their integration into polypeptide chains requires assistance by complex proteinaceous machineries, despite the fact that Fe/S proteins can be assembled chemically in vitro. In prokaryotes, three Fe/S protein biogenesis systems are known; ISC, SUF, and the more specialized NIF. The former two systems have been transferred by endosymbiosis from bacteria to mitochondria and plastids, respectively, of eukaryotes. In their cytosol, eukaryotes use the CIA machinery for the biogenesis of cytosolic and nuclear Fe/S proteins. Despite the structural diversity of the protein constituents of these four machineries, general mechanistic concepts underlie the complex process of Fe/S protein biogenesis. This review provides a comprehensive and comparative overview of the various known biogenesis systems in Biology, and summarizes their common or diverging molecular mechanisms, thereby illustrating both the conservation and diverse adaptions of these four machineries during evolution and under different lifestyles. Knowledge of these fundamental biochemical pathways is not only of basic scientific interest, but is important for the understanding of human 'Fe/S diseases' and can be used in biotechnology.
Collapse
Affiliation(s)
- Joseph J Braymer
- Institut für Zytobiologie, Philipps-Universität Marburg, Robert-Koch-Str. 6, 35032 Marburg, Germany
| | - Sven A Freibert
- Institut für Zytobiologie, Philipps-Universität Marburg, Robert-Koch-Str. 6, 35032 Marburg, Germany
| | | | - Roland Lill
- Institut für Zytobiologie, Philipps-Universität Marburg, Robert-Koch-Str. 6, 35032 Marburg, Germany; SYNMIKRO Center for Synthetic Microbiology, Philipps-Universität Marburg, Hans-Meerwein-Strasse, 35043 Marburg, Germany.
| |
Collapse
|
115
|
Fu Y, Xu J, Tang Z, Wang L, Yin D, Fan Y, Zhang D, Deng F, Zhang Y, Zhang H, Wang H, Xing W, Yin L, Zhu S, Zhu M, Yu M, Li X, Liu X, Yuan X, Zhao S. A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model. Commun Biol 2020; 3:502. [PMID: 32913254 PMCID: PMC7483748 DOI: 10.1038/s42003-020-01233-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 08/07/2020] [Indexed: 12/27/2022] Open
Abstract
The analyses of multi-omics data have revealed candidate genes for objective traits. However, they are integrated poorly, especially in non-model organisms, and they pose a great challenge for prioritizing candidate genes for follow-up experimental verification. Here, we present a general convolutional neural network model that integrates multi-omics information to prioritize the candidate genes of objective traits. By applying this model to Sus scrofa, which is a non-model organism, but one of the most important livestock animals, the model precision was 72.9%, recall 73.5%, and F1-Measure 73.4%, demonstrating a good prediction performance compared with previous studies in Arabidopsis thaliana and Oryza sativa. Additionally, to facilitate the use of the model, we present ISwine (http://iswine.iomics.pro/), which is an online comprehensive knowledgebase in which we incorporated almost all the published swine multi-omics data. Overall, the results suggest that the deep learning strategy will greatly facilitate analyses of multi-omics integration in the future. Yuhua Fu et al. develop a CNN model that integrates multi-omics information to prioritize candidate genes of objective traits. Their model performs well when applied to important livestock non-model animals like Sus scrofa. Finally, the authors present ISwine, an online comprehensive knowledgebase which includes all published swine omics data to facilitate the integration of heterogeneous data.
Collapse
Affiliation(s)
- Yuhua Fu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China.,School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China
| | - Jingya Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Zhenshuang Tang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Lu Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Dong Yin
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Yu Fan
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Dongdong Zhang
- School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China
| | - Fei Deng
- School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China
| | - Yanping Zhang
- School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China
| | - Haohao Zhang
- School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China
| | - Haiyan Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Wenhui Xing
- School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China
| | - Lilin Yin
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Shilin Zhu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Mengjin Zhu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Mei Yu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Xinyun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China
| | - Xiaolei Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China.
| | - Xiaohui Yuan
- School of Computer Science and Technology, Wuhan University of Technology, 430070, Wuhan, Hubei, P.R. China.
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, Hubei, P.R. China.
| |
Collapse
|
116
|
Zhang Y, Yañez Guerra LA, Egertová M, Zampronio CG, Jones AM, Elphick MR. Molecular and functional characterization of somatostatin-type signalling in a deuterostome invertebrate. Open Biol 2020; 10:200172. [PMID: 32898470 PMCID: PMC7536072 DOI: 10.1098/rsob.200172] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Somatostatin (SS) and allatostatin-C (ASTC) are structurally and evolutionarily related neuropeptides that act as inhibitory regulators of physiological processes in mammals and insects, respectively. Here, we report the first molecular and functional characterization of SS/ASTC-type signalling in a deuterostome invertebrate—the starfish Asterias rubens (phylum Echinodermata). Two SS/ASTC-type precursors were identified in A. rubens (ArSSP1 and ArSSP2) and the structures of neuropeptides derived from these proteins (ArSS1 and ArSS2) were analysed using mass spectrometry. Pharmacological characterization of three cloned A. rubens SS/ASTC-type receptors (ArSSR1–3) revealed that ArSS2, but not ArSS1, acts as a ligand for all three receptors. Analysis of ArSS2 expression in A. rubens using mRNA in situ hybridization and immunohistochemistry revealed stained cells/fibres in the central nervous system, the digestive system (e.g. cardiac stomach) and the body wall and its appendages (e.g. tube feet). Furthermore, in vitro pharmacological tests revealed that ArSS2 causes dose-dependent relaxation of tube foot and cardiac stomach preparations, while injection of ArSS2 in vivo causes partial eversion of the cardiac stomach. Our findings provide new insights into the molecular evolution of SS/ASTC-type signalling in the animal kingdom and reveal an ancient role of SS-type neuropeptides as inhibitory regulators of muscle contractility.
Collapse
Affiliation(s)
- Ya Zhang
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK
| | | | - Michaela Egertová
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK
| | - Cleidiane G Zampronio
- School of Life Sciences and Proteomics Research Technology Platform, University of Warwick, Coventry CV4 7AL, UK
| | - Alexandra M Jones
- School of Life Sciences and Proteomics Research Technology Platform, University of Warwick, Coventry CV4 7AL, UK
| | - Maurice R Elphick
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK
| |
Collapse
|
117
|
Billard B, Vigne P, Braendle C. A Natural Mutational Event Uncovers a Life History Trade-Off via Hormonal Pleiotropy. Curr Biol 2020; 30:4142-4154.e9. [PMID: 32888477 DOI: 10.1016/j.cub.2020.08.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/31/2020] [Accepted: 08/03/2020] [Indexed: 12/30/2022]
Abstract
Environmental signals often control central life history decisions, including the choice between reproduction and somatic maintenance. Such adaptive developmental plasticity occurs in the nematode Caenorhabditis elegans, where environmental cues govern whether larvae will develop directly into reproducing adults or arrest their development to become stress-resistant dauer larvae. Here, we identified a natural variant underlying enhanced sensitivity to dauer-inducing cues in C. elegans: a 92-bp deletion in the cis-regulatory region of the gene eak-3. This deletion reduces synthesis or activity of the steroid hormone dafachronic acid (DA), thereby increasing environmental sensitivity for dauer induction. Consistent with known pleiotropic roles of DA, this eak-3 variant significantly slows down reproductive growth. We experimentally show that, although the eak-3 deletion can provide a fitness advantage through facilitated dauer production in stressful environments, this allele becomes rapidly outcompeted in favorable environments. The identified eak-3 variant therefore reveals a trade-off in how hormonal responses influence both the pace of developmental timing and the way in which environmental sensitivity controls adaptive plasticity. Together, our results show how a single mutational event altering hormonal signaling can lead to the emergence of a complex life history trade-off.
Collapse
Affiliation(s)
| | - Paul Vigne
- Université Côte d'Azur, CNRS, Inserm, IBV, Nice, France
| | | |
Collapse
|
118
|
Swann JB, Holland SJ, Petersen M, Pietsch TW, Boehm T. The immunogenetics of sexual parasitism. Science 2020; 369:1608-1615. [PMID: 32732279 DOI: 10.1126/science.aaz9445] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 07/17/2020] [Indexed: 01/29/2023]
Abstract
Sexual parasitism has evolved as a distinctive mode of reproduction among deep-sea anglerfishes. The permanent attachment of males to host females observed in these species represents a form of anatomical joining, which is otherwise unknown in nature. Pronounced modifications to immune facilities are associated with this reproductive trait. The genomes of species with temporarily attaching males lack functional aicda genes that underpin affinity maturation of antibodies. Permanent attachment is associated with additional alterations, culminating in the loss of functional rag genes in some species, abolishing somatic diversification of antigen receptor genes, the hallmark of canonical adaptive immunity. In anglerfishes, coevolution of innate and adaptive immunity has been disentangled, implying that an alternative form of immunity supported the emergence of this evolutionarily successful group of vertebrates.
Collapse
Affiliation(s)
- Jeremy B Swann
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany.
| | - Stephen J Holland
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany
| | - Malte Petersen
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany
| | - Theodore W Pietsch
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98105-5020, USA
| | - Thomas Boehm
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany.
| |
Collapse
|
119
|
Goodheart JA, Minsky G, Brynjegard-Bialik MN, Drummond MS, Munoz JD, Fallon TR, Schultz DT, Weng JK, Torres E, Oakley TH. Laboratory culture of the California Sea Firefly Vargula tsujii (Ostracoda: Cypridinidae): Developing a model system for the evolution of marine bioluminescence. Sci Rep 2020; 10:10443. [PMID: 32591605 PMCID: PMC7320024 DOI: 10.1038/s41598-020-67209-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 06/04/2020] [Indexed: 11/09/2022] Open
Abstract
Bioluminescence, or the production of light by living organisms via chemical reaction, is widespread across Metazoa. Laboratory culture of bioluminescent organisms from diverse taxonomic groups is important for determining the biosynthetic pathways of bioluminescent substrates, which may lead to new tools for biotechnology and biomedicine. Some bioluminescent groups may be cultured, including some cnidarians, ctenophores, and brittle stars, but those use luminescent substrates (luciferins) obtained from their diets, and therefore are not informative for determination of the biosynthetic pathways of the luciferins. Other groups, including terrestrial fireflies, do synthesize their own luciferin, but culturing them is difficult and the biosynthetic pathway for firefly luciferin remains unclear. An additional independent origin of endogenous bioluminescence is found within ostracods from the family Cypridinidae, which use their luminescence for defense and, in Caribbean species, for courtship displays. Here, we report the first complete life cycle of a luminous ostracod (Vargula tsujii Kornicker & Baker, 1977, the California Sea Firefly) in the laboratory. We also describe the late-stage embryogenesis of Vargula tsujii and discuss the size classes of instar development. We find embryogenesis in V. tsujii ranges from 25–38 days, and this species appears to have five instar stages, consistent with ontogeny in other cypridinid lineages. We estimate a complete life cycle at 3–4 months. We also present the first complete mitochondrial genome for Vargula tsujii. Bringing a luminous ostracod into laboratory culture sets the stage for many potential avenues of study, including learning the biosynthetic pathway of cypridinid luciferin and genomic manipulation of an autogenic bioluminescent system.
Collapse
Affiliation(s)
- Jessica A Goodheart
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.,Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Geetanjali Minsky
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA
| | - Mira N Brynjegard-Bialik
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA
| | - Michael S Drummond
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA
| | - J David Munoz
- Department of Biological Sciences, California State University, Los Angeles, CA, 90032-8201, USA
| | - Timothy R Fallon
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, 92093, USA.,Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Darrin T Schultz
- Monterey Bay Aquarium Research Institute, Moss Landing, CA, 95060, USA.,Department of Biomolecular Engineering and Bioinformatics, University of California, Santa Cruz, Santa Cruz, CA, 96060, USA
| | - Jing-Ke Weng
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Elizabeth Torres
- Department of Biological Sciences, California State University, Los Angeles, CA, 90032-8201, USA
| | - Todd H Oakley
- Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.
| |
Collapse
|
120
|
Li Y, Liu Y, Yang H, Zhang T, Naruse K, Tu Q. Dynamic transcriptional and chromatin accessibility landscape of medaka embryogenesis. Genome Res 2020; 30:924-937. [PMID: 32591361 PMCID: PMC7370878 DOI: 10.1101/gr.258871.119] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 06/17/2020] [Indexed: 12/13/2022]
Abstract
Medaka (Oryzias latipes) has become an important vertebrate model widely used in genetics, developmental biology, environmental sciences, and many other fields. A high-quality genome sequence and a variety of genetic tools are available for this model organism. However, existing genome annotation is still rudimentary, as it was mainly based on computational prediction and short-read RNA-seq data. Here we report a dynamic transcriptome landscape of medaka embryogenesis profiled by long-read RNA-seq, short-read RNA-seq, and ATAC-seq. By integrating these data sets, we constructed a much-improved gene model set including about 17,000 novel isoforms and identified 1600 transcription factors, 1100 long noncoding RNAs, and 150,000 potential cis-regulatory elements as well. Time-series data sets provided another dimension of information. With the expression dynamics of genes and accessibility dynamics of cis-regulatory elements, we investigated isoform switching, as well as regulatory logic between accessible elements and genes, during embryogenesis. We built a user-friendly medaka omics data portal to present these data sets. This resource provides the first comprehensive omics data sets of medaka embryogenesis. Ultimately, we term these three assays as the minimum ENCODE toolbox and propose the use of it as the initial and essential profiling genomic assays for model organisms that have limited data available. This work will be of great value for the research community using medaka as the model organism and many others as well.
Collapse
Affiliation(s)
- Yingshu Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongjie Liu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hang Yang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ting Zhang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Kiyoshi Naruse
- Laboratory of Bioresources, National Institute for Basic Biology, Okazaki 444-8585, Aichi, Japan
| | - Qiang Tu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
121
|
Yañez-Guerra LA, Zhong X, Moghul I, Butts T, Zampronio CG, Jones AM, Mirabeau O, Elphick MR. Echinoderms provide missing link in the evolution of PrRP/sNPF-type neuropeptide signalling. eLife 2020; 9:57640. [PMID: 32579512 PMCID: PMC7314547 DOI: 10.7554/elife.57640] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/12/2020] [Indexed: 12/22/2022] Open
Abstract
Neuropeptide signalling systems comprising peptide ligands and cognate receptors are evolutionarily ancient regulators of physiology and behaviour. However, there are challenges associated with determination of orthology between neuropeptides in different taxa. Orthologs of vertebrate neuropeptide-Y (NPY) known as neuropeptide-F (NPF) have been identified in protostome invertebrates, whilst prolactin-releasing peptide (PrRP) and short neuropeptide-F (sNPF) have been identified as paralogs of NPY/NPF in vertebrates and protostomes, respectively. Here we investigated the occurrence of NPY/NPF/PrRP/sNPF-related signalling systems in a deuterostome invertebrate phylum - the Echinodermata. Analysis of transcriptome/genome sequence data revealed loss of NPY/NPF-type signalling, but orthologs of PrRP-type neuropeptides and sNPF/PrRP-type receptors were identified in echinoderms. Furthermore, experimental studies revealed that the PrRP-type neuropeptide pQDRSKAMQAERTGQLRRLNPRF-NH2 is a potent ligand for a sNPF/PrRP-type receptor in the starfish Asterias rubens. Our findings indicate that PrRP-type and sNPF-type signalling systems are orthologous and originated as a paralog of NPY/NPF-type signalling in Urbilateria.
Collapse
Affiliation(s)
| | - Xingxing Zhong
- Queen Mary University of London, School of Biological and Chemical Sciences, London, United Kingdom
| | - Ismail Moghul
- Queen Mary University of London, School of Biological and Chemical Sciences, London, United Kingdom
| | - Thomas Butts
- Queen Mary University of London, School of Biological and Chemical Sciences, London, United Kingdom
| | - Cleidiane G Zampronio
- School of Life Sciences and Proteomics Research Technology Platform, University of Warwick, Coventry, United Kingdom
| | - Alexandra M Jones
- School of Life Sciences and Proteomics Research Technology Platform, University of Warwick, Coventry, United Kingdom
| | | | - Maurice R Elphick
- Queen Mary University of London, School of Biological and Chemical Sciences, London, United Kingdom
| |
Collapse
|
122
|
Gui S, Yang L, Li J, Luo J, Xu X, Yuan J, Chen L, Li W, Yang X, Wu S, Li S, Wang Y, Zhu Y, Gao Q, Yang N, Yan J. ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era. iScience 2020; 23:101241. [PMID: 32629608 PMCID: PMC7306594 DOI: 10.1016/j.isci.2020.101241] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/21/2020] [Accepted: 06/01/2020] [Indexed: 11/20/2022] Open
Abstract
As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively studied by researchers and breeders for over a century. With advances in high-throughput detection of various omics data, a wealth of multi-dimensional and multi-omics information has been accumulated for maize and its wild relative, teosinte. Integration of this information has the potential to accelerate genetic research and generate improvements in maize agronomic traits. To this end, we constructed ZEAMAP, a comprehensive database incorporating multiple reference genomes, annotations, comparative genomics, transcriptomes, open chromatin regions, chromatin interactions, high-quality genetic variants, phenotypes, metabolomics, genetic maps, genetic mapping loci, population structures, and populational DNA methylation signals within maize inbred lines. ZEAMAP is user friendly, with the ability to interactively integrate, visualize, and cross-reference multiple different omics datasets. Functional annotations and comparative genomics of maize and teosinte genomes Multi-omics data generated from the same maize inbred lines panel Interactive tools to query, cross-refer, and visualize the omics data
Collapse
Affiliation(s)
- Songtao Gui
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Linfeng Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Jianbo Li
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Jingyun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaokai Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Jianyu Yuan
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Lu Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Wenqiang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xin Yang
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Shenshen Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Shuyan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yabing Zhu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Qiang Gao
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
| |
Collapse
|
123
|
Shamimuzzaman M, Le Tourneau JJ, Unni DR, Diesh CM, Triant DA, Walsh AT, Tayal A, Conant GC, Hagen DE, Elsik CG. Bovine Genome Database: new annotation tools for a new reference genome. Nucleic Acids Res 2020; 48:D676-D681. [PMID: 31647100 PMCID: PMC7145693 DOI: 10.1093/nar/gkz944] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 10/07/2019] [Accepted: 10/08/2019] [Indexed: 12/21/2022] Open
Abstract
The Bovine Genome Database (BGD) (http://bovinegenome.org) has been the key community bovine genomics database for more than a decade. To accommodate the increasing amount and complexity of bovine genomics data, BGD continues to advance its practices in data acquisition, curation, integration and efficient data retrieval. BGD provides tools for genome browsing (JBrowse), genome annotation (Apollo), data mining (BovineMine) and sequence database searching (BLAST). To augment the BGD genome annotation capabilities, we have developed a new Apollo plug-in, called the Locus-Specific Alternate Assembly (LSAA) tool, which enables users to identify and report potential genome assembly errors and structural variants. BGD now hosts both the newest bovine reference genome assembly, ARS-UCD1.2, as well as the previous reference genome, UMD3.1.1, with cross-genome navigation and queries supported in JBrowse and BovineMine, respectively. Other notable enhancements to BovineMine include the incorporation of genomes and gene annotation datasets for non-bovine ruminant species (goat and sheep), support for multiple assemblies per organism in the Regions Search tool, integration of additional ontologies and development of many new template queries. To better serve the research community, we continue to focus on improving existing tools, developing new tools, adding new datasets and encouraging researchers to use these resources.
Collapse
Affiliation(s)
- Md Shamimuzzaman
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | | | - Deepak R Unni
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94608, USA
| | - Colin M Diesh
- Department of Bioengineering, University of California, Berkeley, CA 94720, USA
| | - Deborah A Triant
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Amy T Walsh
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Aditi Tayal
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Gavin C Conant
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA.,Program in Genetics, North Carolina State University, Raleigh, NC 27695, USA
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA
| | - Christine G Elsik
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.,Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.,MU Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
| |
Collapse
|
124
|
Wang D, Fan W, Guo X, Wu K, Zhou S, Chen Z, Li D, Wang K, Zhu Y, Zhou Y. MaGenDB: a functional genomics hub for Malvaceae plants. Nucleic Acids Res 2020; 48:D1076-D1084. [PMID: 31665439 PMCID: PMC7145696 DOI: 10.1093/nar/gkz953] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 10/08/2019] [Accepted: 10/10/2019] [Indexed: 12/19/2022] Open
Abstract
Malvaceae is a family of flowering plants containing many economically important plant species including cotton, cacao and durian. Recently, the genomes of several Malvaceae species have been decoded, and many omics data were generated for individual species. However, no integrative database of multiple species, enabling users to jointly compare and analyse relevant data, is available for Malvaceae. Thus, we developed a user-friendly database named MaGenDB (http://magen.whu.edu.cn) as a functional genomics hub for the plant community. We collected the genomes of 13 Malvaceae species, and comprehensively annotated genes from different perspectives including functional RNA/protein element, gene ontology, KEGG orthology, and gene family. We processed 374 sets of diverse omics data with the ENCODE pipelines and integrated them into a customised genome browser, and designed multiple dynamic charts to present gene/RNA/protein-level knowledge such as dynamic expression profiles and functional elements. We also implemented a smart search system for efficiently mining genes. In addition, we constructed a functional comparison system to help comparative analysis between genes on multiple features in one species or across closely related species. This database and associated tools will allow users to quickly retrieve large-scale functional information for biological discovery.
Collapse
Affiliation(s)
- Dehe Wang
- College of Life Sciences, Wuhan University, Wuhan 430072, China
- State Key Laboratory of Virology, Wuhan University, Wuhan 430072, China
| | - Weiliang Fan
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Xiaolong Guo
- College of Life Sciences, Wuhan University, Wuhan 430072, China
- State Key Laboratory of Virology, Wuhan University, Wuhan 430072, China
| | - Kai Wu
- College of Life Sciences, Wuhan University, Wuhan 430072, China
- State Key Laboratory of Virology, Wuhan University, Wuhan 430072, China
| | - Siyu Zhou
- College of Information Science and Engineering, Hunan University, Changsha 410082, China
| | - Zonggui Chen
- Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Danyang Li
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Kun Wang
- College of Life Sciences, Wuhan University, Wuhan 430072, China
- Correspondence may also be addressed to Kun Wang. Tel: +86 27 68754887;
| | - Yuxian Zhu
- College of Life Sciences, Wuhan University, Wuhan 430072, China
- Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
- Correspondence may also be addressed to Yuxian Zhu. Tel: +86 27 68752987;
| | - Yu Zhou
- College of Life Sciences, Wuhan University, Wuhan 430072, China
- State Key Laboratory of Virology, Wuhan University, Wuhan 430072, China
- Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
- To whom correspondence should be addressed. Tel: +86 27 68756749;
| |
Collapse
|
125
|
Wang J, Ma X, Yang J, Hui Y, She J, Tian T, Li Z, Xu W, Gao Z, Su Z, Zhao H. Coexpression Analysis Reveals Dynamic Modules Regulating the Growth and Development of Cirri in the Rattans ( Calamus simplicifolius and Daemonorops jenkinsiana). Front Genet 2020; 11:378. [PMID: 32477399 PMCID: PMC7236543 DOI: 10.3389/fgene.2020.00378] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/27/2020] [Indexed: 01/01/2023] Open
Abstract
Rattan is regarded as one of the major non-timber forest products, second only to wood and bamboo, worldwide. Although the published genomes of Calamus simplicifolius and Daemonorops jenkinsiana have facilitated genome-wide gene functional analyses, coexpression networks (CENs) provide more comprehensive and complete annotations of gene function at the transcriptome level. Thus, we analyzed the CENs of the two rattans, C. simplicifolius and D. jenkinsiana, by integrating the genome sequences and analyzing in-house transcriptome data from different development stages of their cirri using a well-developed strategy. A total of 3,504 and 3,027 functional modules were identified in C. simplicifolius and D. jenkinsiana, respectively, based on a combination of CENs, gene family classification, and function enrichment tools. These modules covered the major developmental processes, including photosynthesis, lignin biosynthesis, flavonoid biosynthesis, and phenylpropanoid biosynthesis. Reference annotations were refined using CENs and functional modules. Moreover, we obtained novel insights into the regulation of cirrus growth and development in rattans. Furthermore, Rattan-NET (http://rattan.bamboogdb.org/), an online database with analysis tools for gene set enrichment analysis, module enrichment, network comparison analysis, and cis-element analysis, was constructed for the easy analysis of gene function and regulation modules involved in the growth and development of cirri in rattans.
Collapse
Affiliation(s)
- Jiongliang Wang
- State Forestry and Grassland Administration/Beijing Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Center for Bamboo and Rattan, Beijing, China
| | - Xuelian Ma
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Jiaotong Yang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Yanan Hui
- State Forestry and Grassland Administration/Beijing Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Center for Bamboo and Rattan, Beijing, China
| | - Jiajie She
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Tian Tian
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Zhongqiu Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Wenying Xu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Zhimin Gao
- State Forestry and Grassland Administration/Beijing Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Center for Bamboo and Rattan, Beijing, China
| | - Zhen Su
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Hansheng Zhao
- State Forestry and Grassland Administration/Beijing Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Center for Bamboo and Rattan, Beijing, China
| |
Collapse
|
126
|
Moreland RT, Nguyen AD, Ryan JF, Baxevanis AD. The Mnemiopsis Genome Project Portal: integrating new gene expression resources and improving data visualization. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2020; 2020:5834871. [PMID: 32386298 DOI: 10.1093/database/baaa029] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 03/22/2020] [Indexed: 11/13/2022]
Abstract
Following the completion of the genome sequencing and gene prediction of Mnemiopsis leidyi, a lobate ctenophore that is native to the coastal waters of the western Atlantic Ocean, we developed and implemented the Mnemiopsis Genome Project Portal (MGP Portal), a comprehensive Web-based data portal for navigating the genome sequence and gene annotations. In the years following the first release of the MGP Portal, it has become evident that the inclusion of data from significant published studies on Mnemiopsis has been critical to its adoption as the centralized resource for this emerging model organism. With this most recent update, the Portal has significantly expanded to include in situ images, temporal developmental expression profiles and single-cell expression data. Recent enhancements also include implementations of an updated BLAST interface, new graphical visualization tools and updates to gene pages that integrate all new data types. Database URL: https://research.nhgri.nih.gov/mnemiopsis/.
Collapse
Affiliation(s)
- R Travis Moreland
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Anh-Dao Nguyen
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Joseph F Ryan
- Whitney Laboratory for Marine Bioscience, University of Florida, St. Augustine, FL 32080, USA.,Department of Biology, University of Florida, Gainesville, FL 32611, USA
| | - Andreas D Baxevanis
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| |
Collapse
|
127
|
Kim CY, Mitchell AJ, Glinkerman CM, Li FS, Pluskal T, Weng JK. The chloroalkaloid (-)-acutumine is biosynthesized via a Fe(II)- and 2-oxoglutarate-dependent halogenase in Menispermaceae plants. Nat Commun 2020; 11:1867. [PMID: 32313070 PMCID: PMC7170919 DOI: 10.1038/s41467-020-15777-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 03/25/2020] [Indexed: 11/09/2022] Open
Abstract
Plant halogenated natural products are rare and harbor various interesting bioactivities, yet the biochemical basis for the involved halogenation chemistry is unknown. While a handful of Fe(II)- and 2-oxoglutarate-dependent halogenases (2ODHs) have been found to catalyze regioselective halogenation of unactivated C–H bonds in bacteria, they remain uncharacterized in the plant kingdom. Here, we report the discovery of dechloroacutumine halogenase (DAH) from Menispermaceae plants known to produce the tetracyclic chloroalkaloid (−)-acutumine. DAH is a 2ODH of plant origin and catalyzes the terminal chlorination step in the biosynthesis of (−)-acutumine. Phylogenetic analyses reveal that DAH evolved independently in Menispermaceae plants and in bacteria, illustrating an exemplary case of parallel evolution in specialized metabolism across domains of life. We show that at the presence of azide anion, DAH also exhibits promiscuous azidation activity against dechloroacutumine. This study opens avenues for expanding plant chemodiversity through halogenation and azidation biochemistry. Halogenated plant natural products are rare and plant halogenation enzymes are thus far unknown. Here Kim et al. identify a dechloroacutumine halogenase from Common Moonseed that catalyzes the final chlorination step in the biosynthesis of acutumine, a chloroalkaloid with selective cytotoxicity to cultured T cells.
Collapse
Affiliation(s)
- Colin Y Kim
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Andrew J Mitchell
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA
| | | | - Fu-Shuang Li
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA
| | - Tomáš Pluskal
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA
| | - Jing-Ke Weng
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02142, USA. .,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
| |
Collapse
|
128
|
Gauthier J, de Silva DL, Gompert Z, Whibley A, Houssin C, Le Poul Y, McClure M, Lemaitre C, Legeai F, Mallet J, Elias M. Contrasting genomic and phenotypic outcomes of hybridization between pairs of mimetic butterfly taxa across a suture zone. Mol Ecol 2020; 29:1328-1343. [PMID: 32145112 DOI: 10.1111/mec.15403] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 02/03/2020] [Accepted: 02/21/2020] [Indexed: 11/28/2022]
Abstract
Hybrid zones, whereby divergent lineages come into contact and eventually hybridize, can provide insights on the mechanisms involved in population differentiation and reproductive isolation, and ultimately speciation. Suture zones offer the opportunity to compare these processes across multiple species. In this paper we use reduced-complexity genomic data to compare the genetic and phenotypic structure and hybridization patterns of two mimetic butterfly species, Ithomia salapia and Oleria onega (Nymphalidae: Ithomiini), each consisting of a pair of lineages differentiated for their wing colour pattern and that come into contact in the Andean foothills of Peru. Despite similarities in their life history, we highlight major differences, both at the genomic and phenotypic level, between the two species. These differences include the presence of hybrids, variations in wing phenotype, and genomic patterns of introgression and differentiation. In I. salapia, the two lineages appear to hybridize only rarely, whereas in O. onega the hybrids are not only more common, but also genetically and phenotypically more variable. We also detected loci statistically associated with wing colour pattern variation, but in both species these loci were not over-represented among the candidate barrier loci, suggesting that traits other than wing colour pattern may be important for reproductive isolation. Our results contrast with the genomic patterns observed between hybridizing lineages in the mimetic Heliconius butterflies, and call for a broader investigation into the genomics of speciation in Ithomiini - the largest radiation of mimetic butterflies.
Collapse
Affiliation(s)
- Jérémy Gauthier
- Inria, CNRS, IRISA, University Rennes, Rennes, France.,Geneva Natural History Museum, Geneva, Switzerland
| | - Donna Lisa de Silva
- Institut de Systématique, Évolution, Biodiversité, CNRS, MNHN, EPHE, Sorbonne Université, Université des Antilles, Paris, France
| | | | - Annabel Whibley
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Céline Houssin
- Institut de Systématique, Évolution, Biodiversité, CNRS, MNHN, EPHE, Sorbonne Université, Université des Antilles, Paris, France
| | - Yann Le Poul
- Institut de Systématique, Évolution, Biodiversité, CNRS, MNHN, EPHE, Sorbonne Université, Université des Antilles, Paris, France.,Fakultat für Biologie, Biozentrum, Ludwig-Maximilians Universität München, Planegg-Martinsried, Germany
| | - Melanie McClure
- Institut de Systématique, Évolution, Biodiversité, CNRS, MNHN, EPHE, Sorbonne Université, Université des Antilles, Paris, France
| | | | | | - James Mallet
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Marianne Elias
- Institut de Systématique, Évolution, Biodiversité, CNRS, MNHN, EPHE, Sorbonne Université, Université des Antilles, Paris, France
| |
Collapse
|
129
|
|
130
|
Koch H, Germscheid N, Freese HM, Noriega-Ortega B, Lücking D, Berger M, Qiu G, Marzinelli EM, Campbell AH, Steinberg PD, Overmann J, Dittmar T, Simon M, Wietz M. Genomic, metabolic and phenotypic variability shapes ecological differentiation and intraspecies interactions of Alteromonas macleodii. Sci Rep 2020; 10:809. [PMID: 31964928 PMCID: PMC6972757 DOI: 10.1038/s41598-020-57526-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 12/23/2019] [Indexed: 01/28/2023] Open
Abstract
Ecological differentiation between strains of bacterial species is shaped by genomic and metabolic variability. However, connecting genotypes to ecological niches remains a major challenge. Here, we linked bacterial geno- and phenotypes by contextualizing pangenomic, exometabolomic and physiological evidence in twelve strains of the marine bacterium Alteromonas macleodii, illuminating adaptive strategies of carbon metabolism, microbial interactions, cellular communication and iron acquisition. In A. macleodii strain MIT1002, secretion of amino acids and the unique capacity for phenol degradation may promote associations with Prochlorococcus cyanobacteria. Strain 83-1 and three novel Pacific isolates, featuring clonal genomes despite originating from distant locations, have profound abilities for algal polysaccharide utilization but without detrimental implications for Ecklonia macroalgae. Degradation of toluene and xylene, mediated via a plasmid syntenic to terrestrial Pseudomonas, was unique to strain EZ55. Benzoate degradation by strain EC673 related to a chromosomal gene cluster shared with the plasmid of A. mediterranea EC615, underlining that mobile genetic elements drive adaptations. Furthermore, we revealed strain-specific production of siderophores and homoserine lactones, with implications for nutrient acquisition and cellular communication. Phenotypic variability corresponded to different competitiveness in co-culture and geographic distribution, indicating linkages between intraspecific diversity, microbial interactions and biogeography. The finding of "ecological microdiversity" helps understanding the widespread occurrence of A. macleodii and contributes to the interpretation of bacterial niche specialization, population ecology and biogeochemical roles.
Collapse
Affiliation(s)
- Hanna Koch
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
- Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Nora Germscheid
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
| | - Heike M Freese
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Beatriz Noriega-Ortega
- ICBM-MPI Bridging Group for Marine Geochemistry, University of Oldenburg, Oldenburg, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Dominik Lücking
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
| | - Martine Berger
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
| | - Galaxy Qiu
- Centre for Marine Science and Innovation, University of New South Wales, Kensington, Australia
- Western Sydney University, Hawkesbury, Australia
| | - Ezequiel M Marzinelli
- Centre for Marine Science and Innovation, University of New South Wales, Kensington, Australia
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
- Sydney Institute of Marine Science, Mosman, Australia
- University of Sydney, Camperdown, Australia
| | - Alexandra H Campbell
- Centre for Marine Science and Innovation, University of New South Wales, Kensington, Australia
- University of Sunshine Coast, Sunshine Coast, Australia
| | - Peter D Steinberg
- Centre for Marine Science and Innovation, University of New South Wales, Kensington, Australia
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore
- Sydney Institute of Marine Science, Mosman, Australia
| | - Jörg Overmann
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
- Braunschweig University of Technology, Braunschweig, Germany
| | - Thorsten Dittmar
- ICBM-MPI Bridging Group for Marine Geochemistry, University of Oldenburg, Oldenburg, Germany
| | - Meinhard Simon
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
| | - Matthias Wietz
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany.
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
| |
Collapse
|
131
|
Yu L, Li T, Li L, Lin X, Li H, Liu C, Guo C, Lin S. SAGER: a database of Symbiodiniaceae and Algal Genomic Resource. Database (Oxford) 2020; 2020:baaa051. [PMID: 32621601 PMCID: PMC7334889 DOI: 10.1093/database/baaa051] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 06/05/2020] [Accepted: 06/05/2020] [Indexed: 11/19/2022]
Abstract
Symbiodiniaceae dinoflagellates are essential endosymbionts of reef building corals and some other invertebrates. Information of their genome structure and function is critical for understanding coral symbiosis and bleaching. With the rapid development of sequencing technology, genome draft assemblies of several Symbiodiniaceae species and diverse marine algal genomes have become publicly available but spread in multiple separate locations. Here, we present a Symbiodiniaceae and Algal Genomic Resource Database (SAGER), a user-friendly online repository for integrating existing genomic data of Symbiodiniaceae species and diverse marine algal gene sets from MMETSP and PhyloDB databases. Relevant algal data are included to facilitate comparative analyses. The database is freely accessible at http://sampgr.org.cn. It provides comprehensive tools for studying gene function, expression and comparative genomics, including search tools to identify gene information from Symbiodiniaceae species, and BLAST tool to find orthologs from marine algae and protists. Moreover, SAGER integrates transcriptome datasets derived from diverse culture conditions of corresponding Symbiodiniaceae species. SAGER was developed with the capacity to incorporate future Symbiodiniaceae and algal genome and transcriptome data, and will serve as an open-access and sustained platform providing genomic and molecular tools that can be conveniently used to study Symbiodiniaceae and other marine algae. Database URL: http://sampgr.org.cn.
Collapse
Affiliation(s)
- Liying Yu
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Tangcheng Li
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Ling Li
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Xin Lin
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Hongfei Li
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Chichi Liu
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Chentao Guo
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Senjie Lin
- State Key Laboratory of Marine Environmental Science and College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
- Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA
| |
Collapse
|
132
|
Wu W, Wu Y, Hu D, Zhou Y, Hu Y, Chen Y, Chen M. PncStress: a manually curated database of experimentally validated stress-responsive non-coding RNAs in plants. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2020; 2020:5809233. [PMID: 32185394 PMCID: PMC7078067 DOI: 10.1093/database/baaa001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/10/2019] [Accepted: 01/02/2020] [Indexed: 12/14/2022]
Abstract
Non-coding RNAs (ncRNAs) are recognized as key regulatory molecules in many biological processes. Accumulating evidence indicates that ncRNA-related mechanisms play important roles in plant stress responses. Although abundant plant stress-responsive ncRNAs have been identified, these experimentally validated results have not been gathered into a single public domain archive. Therefore, we established PncStress by curating experimentally validated stress-responsive ncRNAs in plants, including microRNAs, long non-coding RNAs and circular RNAs. The current version of PncStress contains 4227 entries from 114 plants covering 48 biotic and 91 abiotic stresses. For each entry, PncStress has biological information and network visualization. Serving as a manually curated database, PncStress will become a valuable resource in support of plant stress response research.
Collapse
Affiliation(s)
- Wenyi Wu
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yan Wu
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Dahui Hu
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yincong Zhou
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yanshi Hu
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yujie Chen
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.,College of Life Sciences and Food Engineering, Inner Mongolia University for the Nationalities, Tongliao 028043, China
| | - Ming Chen
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.,College of Life Sciences and Food Engineering, Inner Mongolia University for the Nationalities, Tongliao 028043, China
| |
Collapse
|
133
|
Thole V, Bassard JE, Ramírez-González R, Trick M, Ghasemi Afshar B, Breitel D, Hill L, Foito A, Shepherd L, Freitag S, Nunes dos Santos C, Menezes R, Bañados P, Naesby M, Wang L, Sorokin A, Tikhonova O, Shelenga T, Stewart D, Vain P, Martin C. RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics. BMC Genomics 2019; 20:995. [PMID: 31856735 PMCID: PMC6924045 DOI: 10.1186/s12864-019-6183-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 10/15/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Flavonoids are produced in all flowering plants in a wide range of tissues including in berry fruits. These compounds are of considerable interest for their biological activities, health benefits and potential pharmacological applications. However, transcriptomic and genomic resources for wild and cultivated berry fruit species are often limited, despite their value in underpinning the in-depth study of metabolic pathways, fruit ripening as well as in the identification of genotypes rich in bioactive compounds. RESULTS To access the genetic diversity of wild and cultivated berry fruit species that accumulate high levels of phenolic compounds in their fleshy berry(-like) fruits, we selected 13 species from Europe, South America and Asia representing eight genera, seven families and seven orders within three clades of the kingdom Plantae. RNA from either ripe fruits (ten species) or three ripening stages (two species) as well as leaf RNA (one species) were used to construct, assemble and analyse de novo transcriptomes. The transcriptome sequences are deposited in the BacHBerryGEN database (http://jicbio.nbi.ac.uk/berries) and were used, as a proof of concept, via its BLAST portal (http://jicbio.nbi.ac.uk/berries/blast.html) to identify candidate genes involved in the biosynthesis of phenylpropanoid compounds. Genes encoding regulatory proteins of the anthocyanin biosynthetic pathway (MYB and basic helix-loop-helix (bHLH) transcription factors and WD40 repeat proteins) were isolated using the transcriptomic resources of wild blackberry (Rubus genevieri) and cultivated red raspberry (Rubus idaeus cv. Prestige) and were shown to activate anthocyanin synthesis in Nicotiana benthamiana. Expression patterns of candidate flavonoid gene transcripts were also studied across three fruit developmental stages via the BacHBerryEXP gene expression browser (http://www.bachberryexp.com) in R. genevieri and R. idaeus cv. Prestige. CONCLUSIONS We report a transcriptome resource that includes data for a wide range of berry(-like) fruit species that has been developed for gene identification and functional analysis to assist in berry fruit improvement. These resources will enable investigations of metabolic processes in berries beyond the phenylpropanoid biosynthetic pathway analysed in this study. The RNA-seq data will be useful for studies of berry fruit development and to select wild plant species useful for plant breeding purposes.
Collapse
Affiliation(s)
- Vera Thole
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
| | - Jean-Etienne Bassard
- Department of Plant and Environmental Science, University of Copenhagen, 1871 Frederiksberg, Denmark
- Present address: Institute of Plant Molecular Biology, CNRS, University of Strasbourg, 12 Rue General Zimmer, 67084 Strasbourg, France
| | | | - Martin Trick
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
| | - Bijan Ghasemi Afshar
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
| | - Dario Breitel
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
- Present address: Tropic Biosciences UK LTD, Norwich Research Park, Norwich, NR4 7UG UK
| | - Lionel Hill
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
| | | | | | - Sabine Freitag
- The James Hutton Institute, Invergowrie, Dundee, DD2 5DA UK
| | - Cláudia Nunes dos Santos
- Instituto de Biologia Experimental e Tecnológica, Av. República, Qta. do Marquês, 2780-157 Oeiras, Portugal
- CEDOC, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Rua Câmara Pestana 6, 1150-082 Lisbon, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157 Oeiras, Portugal
| | - Regina Menezes
- Instituto de Biologia Experimental e Tecnológica, Av. República, Qta. do Marquês, 2780-157 Oeiras, Portugal
- CEDOC, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Rua Câmara Pestana 6, 1150-082 Lisbon, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157 Oeiras, Portugal
| | - Pilar Bañados
- Facultad De Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna Ote, 4860 Macul, Chile
| | | | - Liangsheng Wang
- Institute of Botany, The Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Beijing, 100093 China
| | - Artem Sorokin
- Fruit Crops Genetic Resources Department, N. I. Vavilov Research Institute of Plant Industry, B. Morskaya Street 42-44, St. Petersburg, 190000 Russia
| | - Olga Tikhonova
- Fruit Crops Genetic Resources Department, N. I. Vavilov Research Institute of Plant Industry, B. Morskaya Street 42-44, St. Petersburg, 190000 Russia
| | - Tatiana Shelenga
- Fruit Crops Genetic Resources Department, N. I. Vavilov Research Institute of Plant Industry, B. Morskaya Street 42-44, St. Petersburg, 190000 Russia
| | - Derek Stewart
- The James Hutton Institute, Invergowrie, Dundee, DD2 5DA UK
- Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, UK
| | - Philippe Vain
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
| | - Cathie Martin
- Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK
| |
Collapse
|
134
|
Zhang K, Kuraparthy V, Fang H, Zhu L, Sood S, Jones DC. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.). BMC Genomics 2019; 20:889. [PMID: 31771502 PMCID: PMC6878679 DOI: 10.1186/s12864-019-6214-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 10/22/2019] [Indexed: 12/14/2022] Open
Abstract
Background Improving fiber quality and yield are the primary research objectives in cotton breeding for enhancing the economic viability and sustainability of Upland cotton production. Identifying the quantitative trait loci (QTL) for fiber quality and yield traits using the high-density SNP-based genetic maps allows for bridging genomics with cotton breeding through marker assisted and genomic selection. In this study, a recombinant inbred line (RIL) population, derived from cross between two parental accessions, which represent broad allele diversity in Upland cotton, was used to construct high-density SNP-based linkage maps and to map the QTLs controlling important cotton traits. Results Molecular genetic mapping using RIL population produced a genetic map of 3129 SNPs, mapped at a density of 1.41 cM. Genetic maps of the individual chromosomes showed good collinearity with the sequence based physical map. A total of 106 QTLs were identified which included 59 QTLs for six fiber quality traits, 38 QTLs for four yield traits and 9 QTLs for two morphological traits. Sub-genome wide, 57 QTLs were mapped in A sub-genome and 49 were mapped in D sub-genome. More than 75% of the QTLs with favorable alleles were contributed by the parental accession NC05AZ06. Forty-six mapped QTLs each explained more than 10% of the phenotypic variation. Further, we identified 21 QTL clusters where 12 QTL clusters were mapped in the A sub-genome and 9 were mapped in the D sub-genome. Candidate gene analyses of the 11 stable QTL harboring genomic regions identified 19 putative genes which had functional role in cotton fiber development. Conclusion We constructed a high-density genetic map of SNPs in Upland cotton. Collinearity between genetic and physical maps indicated no major structural changes in the genetic mapping populations. Most traits showed high broad-sense heritability. One hundred and six QTLs were identified for the fiber quality, yield and morphological traits. Majority of the QTLs with favorable alleles were contributed by improved parental accession. More than 70% of the mapped QTLs shared the similar map position with previously reported QTLs which suggest the genetic relatedness of Upland cotton germplasm. Identification of QTL clusters could explain the correlation among some fiber quality traits in cotton. Stable and major QTLs and QTL clusters of traits identified in the current study could be the targets for map-based cloning and marker assisted selection (MAS) in cotton breeding. The genomic region on D12 containing the major stable QTLs for micronaire, fiber strength and lint percentage could be potential targets for MAS and gene cloning of fiber quality traits in cotton.
Collapse
Affiliation(s)
- Kuang Zhang
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Vasu Kuraparthy
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA.
| | - Hui Fang
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Linglong Zhu
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Shilpa Sood
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA.,4 Cityplace drive, The Climate Corporation (Bayer U.S. Crop Science), St. Louis, MO, 63141, USA
| | - Don C Jones
- Cotton Incorporated, 6399 Weston Parkway, Cary, NC, 27513, USA
| |
Collapse
|
135
|
Li MY, Li YL, Xing TF, Liu JX. First mitochondrial genome of a periwinkle from the genus Littoraria: Littoraria sinensis. MITOCHONDRIAL DNA PART B-RESOURCES 2019; 4:4124-4125. [PMID: 33366348 PMCID: PMC7707726 DOI: 10.1080/23802359.2019.1692718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The nearly complete sequence of the mitochondrial genome of the periwinkle Littoraria sinensis is presented. This is the first mitochondrial genome of the genus Littoraria and the fifth sequenced Littorinidae. The mitogenome of L. sinensis is 16,320 bp in size, with 37 genes and one partial control region. The genes order is identical to those observed in other Littorinidae mitogenomes. The overall base composition shows that AT content (64.76%) is higher than GC content (35.24%). This study should provide new information for the further phylogenetic studies of this species.
Collapse
Affiliation(s)
- Meng-Yu Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yu-Long Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Teng-Fei Xing
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jin-Xian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| |
Collapse
|
136
|
Levsh O, Pluskal T, Carballo V, Mitchell AJ, Weng JK. Independent evolution of rosmarinic acid biosynthesis in two sister families under the Lamiids clade of flowering plants. J Biol Chem 2019; 294:15193-15205. [PMID: 31481469 PMCID: PMC6802498 DOI: 10.1074/jbc.ra119.010454] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/24/2019] [Indexed: 11/06/2022] Open
Abstract
As a means to maintain their sessile lifestyle amid challenging environments, plants produce an enormous diversity of compounds as chemical defenses against biotic and abiotic insults. The underpinning metabolic pathways that support the biosynthesis of these specialized chemicals in divergent plant species provide a rich arena for understanding the molecular evolution of complex metabolic traits. Rosmarinic acid (RA) is a phenolic natural product first discovered in plants of the mint family (Lamiaceae) and is recognized for its wide range of medicinal properties and potential applications in human dietary and medical interventions. Interestingly, the RA chemotype is present sporadically in multiple taxa of flowering plants as well as some hornworts and ferns, prompting the question whether its biosynthesis arose independently across different lineages. Here we report the elucidation of the RA biosynthetic pathway in Phacelia campanularia (desert bells). This species represents the borage family (Boraginaceae), an RA-producing family closely related to the Lamiaceae within the Lamiids clade. Using a multi-omics approach in combination with functional characterization of candidate genes both in vitro and in vivo, we found that RA biosynthesis in P. campanularia involves specific activities of a BAHD acyltransferase and two cytochrome P450 hydroxylases. Further phylogenetic and comparative structure-function analyses of the P. campanularia RA biosynthetic enzymes clearly indicate that RA biosynthesis has evolved independently at least twice in the Lamiids, an exemplary case of chemotypic convergence through disparate evolutionary trajectories.
Collapse
Affiliation(s)
- Olesya Levsh
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142
| | - Tomáš Pluskal
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142
| | - Valentina Carballo
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142
| | - Andrew J Mitchell
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142
| | - Jing-Ke Weng
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142
| |
Collapse
|
137
|
Greenlip Abalone ( Haliotis laevigata) Genome and Protein Analysis Provides Insights into Maturation and Spawning. G3-GENES GENOMES GENETICS 2019; 9:3067-3078. [PMID: 31413154 PMCID: PMC6778792 DOI: 10.1534/g3.119.400388] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Wild abalone (Family Haliotidae) populations have been severely affected by commercial fishing, poaching, anthropogenic pollution, environment and climate changes. These issues have stimulated an increase in aquaculture production; however production growth has been slow due to a lack of genetic knowledge and resources. We have sequenced a draft genome for the commercially important temperate Australian ‘greenlip’ abalone (Haliotis laevigata, Donovan 1808) and generated 11 tissue transcriptomes from a female adult abalone. Phylogenetic analysis of the greenlip abalone with reference to the Pacific abalone (Haliotis discus hannai) indicates that these abalone species diverged approximately 71 million years ago. This study presents an in-depth analysis into the features of reproductive dysfunction, where we provide the putative biochemical messenger components (neuropeptides) that may regulate reproduction including gonad maturation and spawning. Indeed, we isolate the egg-laying hormone neuropeptide and under trial conditions induce spawning at 80% efficiency. Altogether, we provide a solid platform for further studies aimed at stimulating advances in abalone aquaculture production. The H. laevigata genome and resources are made available to the public on the abalone ‘omics website, http://abalonedb.org.
Collapse
|
138
|
Bublitz DC, Chadwick GL, Magyar JS, Sandoz KM, Brooks DM, Mesnage S, Ladinsky MS, Garber AI, Bjorkman PJ, Orphan VJ, McCutcheon JP. Peptidoglycan Production by an Insect-Bacterial Mosaic. Cell 2019; 179:703-712.e7. [PMID: 31587897 PMCID: PMC6838666 DOI: 10.1016/j.cell.2019.08.054] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/06/2019] [Accepted: 08/28/2019] [Indexed: 01/19/2023]
Abstract
Peptidoglycan (PG) is a defining feature of bacteria, involved in cell division, shape, and integrity. We previously reported that several genes related to PG biosynthesis were horizontally transferred from bacteria to the nuclear genome of mealybugs. Mealybugs are notable for containing a nested bacteria-within-bacterium endosymbiotic structure in specialized insect cells, where one bacterium, Moranella, lives in the cytoplasm of another bacterium, Tremblaya. Here we show that horizontally transferred genes on the mealybug genome work together with genes retained on the Moranella genome to produce a PG layer exclusively at the Moranella cell periphery. Furthermore, we show that an insect protein encoded by a horizontally transferred gene of bacterial origin is transported into the Moranella cytoplasm. These results provide a striking parallel to the genetic and biochemical mosaicism found in organelles, and prove that multiple horizontally transferred genes can become integrated into a functional pathway distributed between animal and bacterial endosymbiont genomes. Mealybugs have two bacterial endosymbionts; one symbiont lives inside the other The mealybug genome has acquired some bacterial peptidoglycan (PG)-related genes This insect-symbiont mosaic pathway produces a PG layer at the innermost symbiont Endosymbionts and organelles have evolved similar levels of biochemical integration
Collapse
Affiliation(s)
- DeAnna C Bublitz
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA
| | - Grayson L Chadwick
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - John S Magyar
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - Kelsi M Sandoz
- Coxiella Pathogenesis Section, Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, NIH, Hamilton, MT 59840, USA
| | - Diane M Brooks
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA
| | - Stéphane Mesnage
- Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield S10 2TN, UK
| | - Mark S Ladinsky
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Arkadiy I Garber
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA
| | - Pamela J Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Victoria J Orphan
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - John P McCutcheon
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA.
| |
Collapse
|