scholarly journals MobiSeq: De Novo SNP discovery in model and non-model species through sequencing the flanking region of transposable elements

2018 ◽  
Author(s):  
Alba Rey-Iglesia ◽  
Shyam Gopalakrishan ◽  
Christian Carøe ◽  
David E. Alquezar-Planas ◽  
Anne Ahlmann Nielsen ◽  
...  
Keyword(s):  
Transposable Elements ◽  
Dna Sequences ◽  
Population Genomics ◽  
De Novo ◽  
Model Organisms ◽  
Snp Discovery ◽  
High Molecular Weight Dna ◽  
A Genome ◽  
Wide Range ◽  
Flanking Region

AbstractIn recent years, the availability of reduced representation library (RRL) methods has catalysed an expansion of genome-scale studies to characterize both model and non-model organisms. Most of these methods rely on the use of restriction enzymes to obtain DNA sequences at a genome-wide level. These approaches have been widely used to sequence thousands of markers across individuals for many organisms at a reasonable cost, revolutionizing the field of population genomics. However, there are still some limitations associated with these methods, in particular, the high molecular weight DNA required as starting material, the reduced number of common loci among investigated samples, and the short length of the sequenced site-associated DNA. Here, we present MobiSeq, a RRL protocol exploiting simple laboratory techniques, that generates genomic data based on PCR targeted-enrichment of transposable elements and the sequencing of the associated flanking region. We validate its performance across 103 DNA extracts derived from three mammalian species: grey wolf (Canis lupus), red deer complex (Cervus sp.), and brown rat (Rattus norvegicus). MobiSeq enables the sequencing of hundreds of thousands loci across the genome, and performs SNP discovery with relatively low rates of clonality. Given the ease and flexibility of MobiSeq protocol, the method has the potential to be implemented for marker discovery and population genomics across a wide range of organisms – enabling the exploration of diverse evolutionary and conservation questions.

scholarly journals Transposable elements are constantly exchanged by horizontal transfer reshaping mosquito genomes

2020 ◽  
Author(s):  
Elverson Soares de Melo ◽  
Gabriel da Luz Wallau
Keyword(s):  
Transposable Elements ◽  
Genome Size ◽  
Horizontal Transfer ◽  
De Novo ◽  
Mosquito Species ◽  
Wuchereria Bancrofti ◽  
Model Organisms ◽  
A Genome ◽  
Horizontal Spread ◽  
Horizontal Transfers

AbstractTransposable elements (TEs) are a set of mobile elements within a genome. Due to their complexity, an in-depth TE characterization is only available for a handful of model organisms. In the present study, we performed a de novo and homology-based characterization of TEs in the genomes of 24 mosquito species and investigated their mode of inheritance. More than 40% of the genome of Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus is composed of TEs, varying substantially among Anopheles species (0.13%–19.55%). Class I TEs are the most abundant among mosquitoes and at least 24 TE superfamilies were found. Interestingly, TEs have been continuously exchanged by horizontal transfer (212 TE families of 18 different superfamilies) among mosquitoes since 30 million years ago, representing around 6% of the genome in Aedes genomes and a small fraction in Anopheles genomes. Most of these horizontally transferred TEs are from the three ubiquitous LTR superfamilies: Gypsy, Bel-Pao and Copia. Searching more 32,000 genomes, we also uncover transfers between mosquitoes and two different Phyla—Cnidaria and Nematoda—and two subphyla—Chelicerata and Crustacea, identifying a vector, the worm Wuchereria bancrofti, that enabled the horizontal spread of a Tc1-mariner element of irritans subfamily among various Anopheles species. These data also allowed us to reconstruct the horizontal transfer network of this TE involving more than 40 species. In summary, our results suggest that TEs are constantly exchanged by common phenomena of horizontal transfers among mosquitoes, influencing genome variation and contributing to genome size expansion.Author SummaryMost eukaryotes have DNA fragments inside their genome that can multiply by inserting themselves in other regions of the genome, generating variability. These fragments are called Transposable Elements (TEs). Since they are a constituent part of the eukaryote genomes, these pieces of DNA are usually inherited vertically by the offspring. To avoid damage to the genome caused by the replication and insertion of TEs, organisms usually control them, leading to their inactivation. However, TEs sometimes get out of control and invade other species through a horizontal transfer mechanism. This dynamic is not known in mosquitoes, a group of organisms that acts as vectors of many human diseases. We collected mosquito genomes available in public databases and characterized the whole content of TEs. Using a statistic supported method, we investigate TE relations among mosquitoes and discover that horizontal transfers of transposons are common and occurred in the last 30 million years among these species. Although not as common as transfers among closely related species, transposon transfer to distant species also occur. We also identify a parasite, a filarial worm, that may have facilitated the transfer of TE to many mosquitoes. Together, horizontally transferred TEs contribute to increasing mosquito genome size and variation.

scholarly journals Sequencing smart: De novo sequencing and assembly approaches for a non-model mammal

GigaScience ◽  
2020 ◽  
Vol 9 (5) ◽  
Author(s):  
Graham J Etherington ◽  
Darren Heavens ◽  
David Baker ◽  
Ashleigh Lister ◽  
Rose McNelly ◽  
...  
Keyword(s):  
De Novo ◽  
Cost Effective ◽  
Genome Project ◽  
Model Organisms ◽  
Sequencing Data ◽  
Data Types ◽  
High Molecular Weight Dna ◽  
Assembly Method ◽  
A Genome ◽  
Genome Assemblies

Abstract Background Whilst much sequencing effort has focused on key mammalian model organisms such as mouse and human, little is known about the relationship between genome sequencing techniques for non-model mammals and genome assembly quality. This is especially relevant to non-model mammals, where the samples to be sequenced are often degraded and of low quality. A key aspect when planning a genome project is the choice of sequencing data to generate. This decision is driven by several factors, including the biological questions being asked, the quality of DNA available, and the availability of funds. Cutting-edge sequencing technologies now make it possible to achieve highly contiguous, chromosome-level genome assemblies, but rely on high-quality high molecular weight DNA. However, funding is often insufficient for many independent research groups to use these techniques. Here we use a range of different genomic technologies generated from a roadkill European polecat (Mustela putorius) to assess various assembly techniques on this low-quality sample. We evaluated different approaches for de novo assemblies and discuss their value in relation to biological analyses. Results Generally, assemblies containing more data types achieved better scores in our ranking system. However, when accounting for misassemblies, this was not always the case for Bionano and low-coverage 10x Genomics (for scaffolding only). We also find that the extra cost associated with combining multiple data types is not necessarily associated with better genome assemblies. Conclusions The high degree of variability between each de novo assembly method (assessed from the 7 key metrics) highlights the importance of carefully devising the sequencing strategy to be able to carry out the desired analysis. Adding more data to genome assemblies does not always result in better assemblies, so it is important to understand the nuances of genomic data integration explained here, in order to obtain cost-effective value for money when sequencing genomes.

scholarly journals Sequencing smart: De novo sequencing and assembly approaches for non-model mammals

2019 ◽  
Author(s):  
Graham J Etherington ◽  
Darren Heavens ◽  
David Baker ◽  
Ashleigh Lister ◽  
Rose McNelly ◽  
...  
Keyword(s):  
De Novo ◽  
Genome Project ◽  
Model Organisms ◽  
Value For Money ◽  
Sequencing Data ◽  
Data Types ◽  
High Molecular Weight Dna ◽  
Assembly Method ◽  
A Genome ◽  
Genome Assemblies

AbstractBackgroundWhilst much sequencing effort has focused on key mammalian model organisms such as mouse and human, little is known about the correlation between genome sequencing techniques for non-model mammals and genome assembly quality. This is especially relevant to non-model mammals, where the samples to be sequenced are often degraded and low quality. A key aspect when planning a genome project is the choice of sequencing data to generate. This decision is driven by several factors, including the biological questions being asked, the quality of DNA available, and the availability of funds. Cutting-edge sequencing technologies now make it possible to achieve highly contiguous, chromosome-level genome assemblies, but relies on good quality high-molecular-weight DNA. The funds to generate and combining these data are often only available within large consortiums and sequencing initiatives, and are often not affordable for many independent research groups. For many researchers, value-for-money is a key factor when considering the generation of genomic sequencing data. Here we use a range of different genomic technologies generated from a roadkill European Polecat (Mustela putorius) to assess various assembly techniques on this low-quality sample. We evaluated different approaches for de novo assemblies and discuss their value in relation to biological analyses.ResultsGenerally, assemblies containing more data types achieved better scores in our ranking system. However, when accounting for misassemblies, this was not always the case for Bionano and low-coverage 10x Genomics (for scaffolding only). We also find that the extra cost associated with combining multiple data types is not necessarily associated with better genome assemblies.ConclusionsThe high degree of variability between each de novo assembly method (assessed from the seven key metrics) highlights the importance of carefully devising the sequencing strategy to be able to carry out the desired analysis. Adding more data to genome assemblies not always results in better assemblies so it is important to understand the nuances of genomic data integration explained here, in order to obtain cost-effective value-for-money when sequencing genomes.

scholarly journals MobiSeq: De novo SNP discovery in model and non‐model species through sequencing the flanking region of transposable elements

2019 ◽  
Vol 19 (2) ◽  
pp. 512-525 ◽  
Author(s):  
Alba Rey‐Iglesia ◽  
Shyam Gopalakrishan ◽  
Christian Carøe ◽  
David E. Alquezar‐Planas ◽  
Anne Ahlmann Nielsen ◽  
...  
Keyword(s):  
Transposable Elements ◽  
De Novo ◽  
Snp Discovery ◽  
Model Species ◽  
Flanking Region

scholarly journals dDocent: a RADseq, variant-calling pipeline designed for population genomics of non-model organisms

2014 ◽  
Author(s):  
Jonathan Puritz ◽  
Christopher M. Hollenbeck ◽  
John R. Gold
Keyword(s):  
Population Genomics ◽  
De Novo ◽  
Variant Calling ◽  
Population Level ◽  
Model Organisms ◽  
Effective Population ◽  
Reduction Techniques ◽  
Indel Polymorphisms ◽  
Indel Calling ◽  
Population Sizes

Restriction-site associated DNA sequencing (RADseq) has become a powerful and useful approach for population genomics. Currently, no software exists that utilizes both paired-end reads from RADseq data to efficiently produce population-informative variant calls, especially for organisms with large effective population sizes and high levels of genetic polymorphism but for which no genomic resources exist. dDocent is an analysis pipeline with a user-friendly, command-line interface designed to process individually barcoded RADseq data (with double cut sites) into informative SNPs/Indels for population-level analyses. The pipeline, written in BASH, uses data reduction techniques and other stand-alone software packages to perform quality trimming and adapter removal, de novo assembly of RAD loci, read mapping, SNP and Indel calling, and baseline data filtering. Double-digest RAD data from population pairings of three different marine fishes were used to compare dDocent with Stacks, the first generally available, widely used pipeline for analysis of RADseq data. dDocent consistently identified more SNPs shared across greater numbers of individuals and with higher levels of coverage. This is most likely due to the fact that dDocent quality trims instead of filtering and incorporates both forward and reverse reads in assembly, mapping, and SNP calling, thus enabling use of reads with Indel polymorphisms. The pipeline and a comprehensive user guide can be found at (http://dDocent.wordpress.com).

scholarly journals A Multireference-Based Whole Genome Assembly for the Obligate Ant-Following Antbird, Rhegmatorhina melanosticta (Thamnophilidae)

Diversity ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 144 ◽  
Author(s):  
Laís Coelho ◽  
Lukas Musher ◽  
Joel Cracraft
Keyword(s):  
Genome Assembly ◽  
High Throughput Sequencing ◽  
Population Genomics ◽  
De Novo ◽  
Structural Difference ◽  
Whole Genome ◽  
Sequencing Technology ◽  
A Genome ◽  
Avian Genomes ◽  
Chromosome Level

Current generation high-throughput sequencing technology has facilitated the generation of more genomic-scale data than ever before, thus greatly improving our understanding of avian biology across a range of disciplines. Recent developments in linked-read sequencing (Chromium 10×) and reference-based whole-genome assembly offer an exciting prospect of more accessible chromosome-level genome sequencing in the near future. We sequenced and assembled a genome of the Hairy-crested Antbird (Rhegmatorhina melanosticta), which represents the first publicly available genome for any antbird (Thamnophilidae). Our objectives were to (1) assemble scaffolds to chromosome level based on multiple reference genomes, and report on differences relative to other genomes, (2) assess genome completeness and compare content to other related genomes, and (3) assess the suitability of linked-read sequencing technology for future studies in comparative phylogenomics and population genomics studies. Our R. melanosticta assembly was both highly contiguous (de novo scaffold N50 = 3.3 Mb, reference based N50 = 53.3 Mb) and relatively complete (contained close to 90% of evolutionarily conserved single-copy avian genes and known tetrapod ultraconserved elements). The high contiguity and completeness of this assembly enabled the genome to be successfully mapped to the chromosome level, which uncovered a consistent structural difference between R. melanosticta and other avian genomes. Our results are consistent with the observation that avian genomes are structurally conserved. Additionally, our results demonstrate the utility of linked-read sequencing for non-model genomics. Finally, we demonstrate the value of our R. melanosticta genome for future researchers by mapping reduced representation sequencing data, and by accurately reconstructing the phylogenetic relationships among a sample of thamnophilid species.

scholarly journals Double insertion of transposable elements provides a substrate for the evolution of satellite DNA

2017 ◽  
Author(s):  
Michael P. McGurk ◽  
Daniel A. Barbash
Keyword(s):  
Transposable Elements ◽  
Dna Sequences ◽  
Insertion Site ◽  
Repeated Sequence ◽  
Site Preference ◽  
Major Mechanism ◽  
Wide Range ◽  
Illumina Data ◽  
Generative Mechanisms ◽  
Genomic Locations

AbstractEukaryotic genomes are replete with repeated sequences, in the form of transposable elements (TEs) dispersed across the genome or as satellite arrays, large stretches of tandemly repeated sequence. Many satellites clearly originated as TEs, but it is unclear how mobile genetic parasites can transform into megabase-sized tandem arrays. Comprehensive population genomic sampling is needed to determine the frequency and generative mechanisms of tandem TEs, at all stages from their initial formation to their subsequent expansion and maintenance as satellites. The best available population resources, short-read DNA sequences, are often considered to be of limited utility for analyzing repetitive DNA due to the challenge of mapping individual repeats to unique genomic locations. Here we develop a new pipeline called ConTExt which demonstrates that paired-end Illumina data can be successfully leveraged to identify a wide range of structural variation within repetitive sequence, including tandem elements. Analyzing 85 genomes from five populations of Drosophila melanogaster we discover that TEs commonly form tandem dimers. Our results further suggest that insertion site preference is the major mechanism by which dimers arise and that, consequently, dimers form rapidly during periods of active transposition. This abundance of TE dimers has the potential to provide source material for future expansion into satellite arrays, and we discover one such copy number expansion of the DNA transposon Hobo to ~16 tandem copies in a single line. The very process that defines TEs —transposition— thus regularly generates sequences from which new satellites can arise.

scholarly journals De novo identification of satellite DNAs in the sequenced genomes of Drosophila virilis and D. americana using the RepeatExplorer and TAREAN pipelines

2019 ◽  
Author(s):  
Bráulio S.M.L. Silva ◽  
Pedro Heringer ◽  
Guilherme B. Dias ◽  
Marta Svartman ◽  
Gustavo C.S. Kuhn
Keyword(s):  
Transposable Elements ◽  
Tandem Repeat ◽  
Tandem Repeats ◽  
De Novo ◽  
Chromosome Mapping ◽  
Drosophila Virilis ◽  
Satellite Dnas ◽  
Bioinformatic Tools ◽  
A Genome ◽  
Genome Assemblies

AbstractSatellite DNAs are among the most abundant repetitive DNAs found in eukaryote genomes, where they participate in a variety of biological roles, from being components of important chromosome structures to gene regulation. Experimental methodologies used before the genomic era were not sufficient despite being too laborious and time-consuming to recover the collection of all satDNAs from a genome. Today, the availability of whole sequenced genomes combined with the development of specific bioinformatic tools are expected to foster the identification of virtually all of the “satellitome” from a particular species. While whole genome assemblies are important to obtain a global view of genome organization, most assemblies are incomplete and lack repetitive regions. Here, we applied short-read sequencing and similarity clustering in order to perform a de novo identification of the most abundant satellite families in two Drosophila species from the virilis group: Drosophila virilis and D. americana. These species were chosen because they have been used as a model to understand satDNA biology since early 70’s. We combined computational tandem repeat detection via similarity-based read clustering (implemented in Tandem Repeat Analyzer pipeline – “TAREAN”) with data from the literature and chromosome mapping to obtain an overview of satDNAs in D. virilis and D. americana. The fact that all of the abundant tandem repeats we detected were previously identified in the literature allowed us to evaluate the efficiency of TAREAN in correctly identifying true satDNAs. Our results indicate that raw sequencing reads can be efficiently used to detect satDNAs, but that abundant tandem repeats present in dispersed arrays or associated with transposable elements are frequent false positives. We demonstrate that TAREAN with its parent method RepeatExplorer, may be used as resources to detect tandem repeats associated with transposable elements and also to reveal families of dispersed tandem repeats.

scholarly journals Accuracy of de novo assembly of DNA sequences from double-digest libraries varies substantially among software

2019 ◽  
Author(s):  
Melanie E. F. LaCava ◽  
Ellen O. Aikens ◽  
Libby C. Megna ◽  
Gregg Randolph ◽  
Charley Hubbard ◽  
...  
Keyword(s):  
Dna Sequences ◽  
De Novo ◽  
Homo Sapiens ◽  
Simulated Data ◽  
Model Organisms ◽  
Reduced Representation ◽  
Insertion And Deletion ◽  
Large Sets ◽  
Sequencing Library ◽  
Software Programs

AbstractAdvances in DNA sequencing have made it feasible to gather genomic data for non-model organisms and large sets of individuals, often using methods for sequencing subsets of the genome. Several of these methods sequence DNA associated with endonuclease restriction sites (various RAD and GBS methods). For use in taxa without a reference genome, these methods rely on de novo assembly of fragments in the sequencing library. Many of the software options available for this application were originally developed for other assembly types and we do not know their accuracy for reduced representation libraries. To address this important knowledge gap, we simulated data from the Arabidopsis thaliana and Homo sapiens genomes and compared de novo assemblies by six software programs that are commonly used or promising for this purpose (ABySS, CD-HIT, Stacks, Stacks2, Velvet and VSEARCH). We simulated different mutation rates and types of mutations, and then applied the six assemblers to the simulated datasets, varying assembly parameters. We found substantial variation in software performance across simulations and parameter settings. ABySS failed to recover any true genome fragments, and Velvet and VSEARCH performed poorly for most simulations. Stacks and Stacks2 produced accurate assemblies of simulations containing SNPs, but the addition of insertion and deletion mutations decreased their performance. CD-HIT was the only assembler that consistently recovered a high proportion of true genome fragments. Here, we demonstrate the substantial difference in the accuracy of assemblies from different software programs and the importance of comparing assemblies that result from different parameter settings.

scholarly journals Proteotranscriptomics assisted gene annotation and spatial proteomics of Bombyx mori BmN4 cell line

2020 ◽  
Author(s):  
Michal Levin ◽  
Marion Scheibe ◽  
Falk Butter
Keyword(s):  
Mass Spectrometry ◽  
Bombyx Mori ◽  
Cell Line ◽  
De Novo ◽  
High Resolution Mass Spectrometry ◽  
Gene Annotation ◽  
Transcriptome Assembly ◽  
Model Organisms ◽  
Sequence Information ◽  
A Genome

Abstract BackgroundThe process of identifying all coding regions in a genome is crucial for any study at the level of molecular biology, ranging from single-gene cloning to genome-wide measurements using RNA-Seq or mass spectrometry. While satisfactory annotation has been made feasible for well-studied model organisms through great efforts of big consortia, for most systems this kind of data is either absent or not adequately precise. ResultsCombining in-depth transcriptome sequencing and high resolution mass spectrometry, we here use proteotranscriptomics to improve gene annotation of protein-coding genes in the Bombyx mori cell line BmN4 which is an increasingly used tool for the analysis of piRNA biogenesis and function. Using this approach we provide the exact coding sequence and evidence for more than 6,200 genes on the protein level. Furthermore using spatial proteomics, we establish the subcellular localization of thousands of these proteins. We show that our approach outperforms current Bombyx mori annotation attempts in terms of accuracy and coverage. ConclusionsWe show that proteotranscriptomics is an efficient, cost-effective and accurate approach to improve previous annotations or generate new gene models. As this technique is based on de-novo transcriptome assembly, it provides the possibility to study any species also in the absence of genome sequence information for which proteogenomics would be impossible.

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