Plasmid Sequence Analysis from Long Reads v2

2021 ◽  
Author(s):  
David A Eccles
Keyword(s):  
Sequence Analysis ◽  
Plasmid Dna ◽  
De Novo ◽  
Consensus Sequence ◽  
Fasta File ◽  
High Quality ◽  
Plasmid Sequence ◽  
Long Reads ◽  
The Moment

This protocol demonstrates how to assemble reads from plasmid DNA, and generate a circularised and non-repetitive consensus sequence At the moment, this protocol uses Canu to de-novo assemble high-quality single-cut reads. Input(s): demultiplexed fastq files (see protocol Demultiplexing Nanopore reads with LAST). I've noticed that the default demultiplexing carried out by Guppy (at least up to v4.2.2, as used in the first version of this protocol) has issues with chimeric reads, which can affect assembly. Output(s): Consensus sequence per barcode as a fasta file

Plasmid Sequence Analysis from Long Reads v2

2021 ◽  
Author(s):  
David A Eccles
Keyword(s):  
Sequence Analysis ◽  
Plasmid Dna ◽  
De Novo ◽  
Consensus Sequence ◽  
Fasta File ◽  
High Quality ◽  
Plasmid Sequence ◽  
Long Reads ◽  
The Moment

This protocol demonstrates how to assemble reads from plasmid DNA, and generate a circularised and non-repetitive consensus sequence At the moment, this protocol uses Canu to de-novo assemble high-quality single-cut reads. Input(s): demultiplexed fastq files (see protocol Demultiplexing Nanopore reads with LAST). I've noticed that the default demultiplexing carried out by Guppy (at least up to v4.2.2, as used in the first version of this protocol) has issues with chimeric reads, which can affect assembly. Output(s): Consensus sequence per barcode as a fasta file

scholarly journals A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

GigaScience ◽  
2020 ◽  
Vol 9 (8) ◽  
Author(s):  
Eugenie C Yen ◽  
Shane A McCarthy ◽  
Juan A Galarza ◽  
Tomas N Generalovic ◽  
Sarah Pelan ◽  
...  
Keyword(s):  
Population Structure ◽  
Genome Assembly ◽  
De Novo ◽  
Consensus Sequence ◽  
Parental Origin ◽  
De Novo Genome Assembly ◽  
Geographic Population ◽  
Long Reads ◽  
Tiger Moth ◽  
Innovative Solution

ABSTRACT Background Diploid genome assembly is typically impeded by heterozygosity because it introduces errors when haplotypes are collapsed into a consensus sequence. Trio binning offers an innovative solution that exploits heterozygosity for assembly. Short, parental reads are used to assign parental origin to long reads from their F1 offspring before assembly, enabling complete haplotype resolution. Trio binning could therefore provide an effective strategy for assembling highly heterozygous genomes, which are traditionally problematic, such as insect genomes. This includes the wood tiger moth (Arctia plantaginis), which is an evolutionary study system for warning colour polymorphism. Findings We produced a high-quality, haplotype-resolved assembly for Arctia plantaginis through trio binning. We sequenced a same-species family (F1 heterozygosity ∼1.9%) and used parental Illumina reads to bin 99.98% of offspring Pacific Biosciences reads by parental origin, before assembling each haplotype separately and scaffolding with 10X linked reads. Both assemblies are contiguous (mean scaffold N50: 8.2 Mb) and complete (mean BUSCO completeness: 97.3%), with annotations and 31 chromosomes identified through karyotyping. We used the assembly to analyse genome-wide population structure and relationships between 40 wild resequenced individuals from 5 populations across Europe, revealing the Georgian population as the most genetically differentiated with the lowest genetic diversity. Conclusions We present the first invertebrate genome to be assembled via trio binning. This assembly is one of the highest quality genomes available for Lepidoptera, supporting trio binning as a potent strategy for assembling heterozygous genomes. Using our assembly, we provide genomic insights into the geographic population structure of A. plantaginis.

scholarly journals Chromosome-scale comparative sequence analysis unravels molecular mechanisms of genome evolution between two wheat cultivars

2018 ◽  
Author(s):  
Anupriya Kaur Thind ◽  
Thomas Wicker ◽  
Thomas Müller ◽  
Patrick M. Ackermann ◽  
Burkhard Steuernagel ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Molecular Mechanisms ◽  
Evolutionary Dynamics ◽  
De Novo ◽  
Plant Immunity ◽  
Comparative Sequence Analysis ◽  
Structural Variations ◽  
High Quality ◽  
Evolutionary Mechanisms ◽  
Comparative Sequence

AbstractBackgroundRecent improvements in DNA sequencing and genome scaffolding have paved the way to generate high-quality de novo assemblies of pseudomolecules representing complete chromosomes of wheat and its wild relatives. These assemblies form the basis to compare the evolutionary dynamics of wheat genomes on a megabase-scale.ResultsHere, we provide a comparative sequence analysis of the ~700-megabase chromosome 2D between two bread wheat genotypes – the old landrace Chinese Spring and the elite Swiss spring wheat line ‘CH Campala Lr22a’. There was a high degree of sequence conservation between the two chromosomes. Analysis of large structural variations revealed four large insertions/deletions (InDels) of >100 kb. Based on the molecular signatures at the breakpoints, unequal crossing over and double-strand break repair were identified as the evolutionary mechanisms that caused these InDels. Three of the large InDels affected copy number of NLRs, a gene family involved in plant immunity. Analysis of single nucleotide polymorphism (SNP) density revealed three haploblocks of ~8 Mb, ~9 Mb and ~48 Mb with a 35-fold increased SNP density compared to the rest of the chromosome.ConclusionsThis comparative analysis of two high-quality chromosome assemblies enabled a comprehensive assessment of large structural variations. The insight obtained from this analysis will form the basis of future wheat pan-genome studies.

scholarly journals Fast and accurate de novo genome assembly from long uncorrected reads

2016 ◽  
Author(s):  
Robert Vaser ◽  
Ivan Sović ◽  
Niranjan Nagarajan ◽  
Mile Šikić
Keyword(s):  
Error Correction ◽  
De Novo ◽  
High Quality ◽  
De Novo Genome Assembly ◽  
Consensus Sequences ◽  
Long Reads ◽  
Oxford Nanopore ◽  
Order Of Magnitude ◽  
Correction Step ◽  
Consensus Module

The assembly of long reads from Pacific Biosciences and Oxford Nanopore Technologies typically requires resource intensive error correction and consensus generation steps to obtain high quality assemblies. We show that the error correction step can be omitted and high quality consensus sequences can be generated efficiently with a SIMD accelerated, partial order alignment based stand-alone consensus module called Racon. Based on tests with PacBio and Oxford Nanopore datasets we show that Racon coupled with Miniasm enables consensus genomes with similar or better quality than state-of-the-art methods while being an order of magnitude faster.Racon is available open source under the MIT license at https://github.com/isovic/racon.git.

scholarly journals Sparc: a sparsity-based consensus algorithm for long erroneous sequencing reads

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2016 ◽  
Author(s):  
Chengxi Ye ◽  
Zhanshan (Sam) Ma
Keyword(s):  
Error Rate ◽  
Genome Assembly ◽  
De Novo ◽  
Consensus Sequence ◽  
Variant Calling ◽  
Error Rates ◽  
Consensus Algorithm ◽  
High Quality ◽  
Oxford Nanopore ◽  
Generation Sequencing

Motivation.The third generation sequencing (3GS) technology generates long sequences of thousands of bases. However, its current error rates are estimated in the range of 15–40%, significantly higher than those of the prevalent next generation sequencing (NGS) technologies (less than 1%). Fundamental bioinformatics tasks such asde novogenome assembly and variant calling require high-quality sequences that need to be extracted from these long but erroneous 3GS sequences.Results.We describe a versatile and efficient linear complexity consensus algorithm Sparc to facilitatede novogenome assembly. Sparc builds a sparse k-mer graph using a collection of sequences from a targeted genomic region. The heaviest path which approximates the most likely genome sequence is searched through a sparsity-induced reweighted graph as the consensus sequence. Sparc supports using NGS and 3GS data together, which leads to significant improvements in both cost efficiency and computational efficiency. Experiments with Sparc show that our algorithm can efficiently provide high-quality consensus sequences using both PacBio and Oxford Nanopore sequencing technologies. With only 30× PacBio data, Sparc can reach a consensus with error rate <0.5%. With the more challenging Oxford Nanopore data, Sparc can also achieve similar error rate when combined with NGS data. Compared with the existing approaches, Sparc[i] calculates the consensus with higher accuracy, uses 80% less memory and time, approximately. The source code is available for download athttps://github.com/yechengxi/Sparc.

scholarly journals Can we use it? On the utility of de novo and reference-based assembly of Nanopore data for plant plastome sequencing

2019 ◽  
Author(s):  
Agnes Scheunert ◽  
Marco Dorfner ◽  
Thomas Lingl ◽  
Christoph Oberprieler
Keyword(s):  
Chloroplast Genome ◽  
De Novo ◽  
Phylogenetic Analyses ◽  
Consensus Sequence ◽  
Suitable Alternative ◽  
Short Read ◽  
Chloroplast Genomes ◽  
Long Reads ◽  
Illumina Data

AbstractThe chloroplast genome harbors plenty of valuable information for phylogenetic research. Illumina short-read data is generally used for de novo assembly of whole plastomes. PacBio or Oxford Nanopore long reads are additionally employed in hybrid approaches to enable assembly across the highly similar inverted repeats of a chloroplast genome. Unlike for PacBio, plastome assemblies based solely on Nanopore reads are rarely found, due to their high error rate and non-random error profile. However, the actual quality decline connected to their use has never been quantified. Furthermore, no study has employed reference-based assembly using Nanopore reads, which is common with Illumina data. Using Leucanthemum Mill. as an example, we compared the sequence quality of seven plastome assemblies of the same species, using combinations of two sequencing platforms and three analysis pipelines. In addition, we assessed the factors which might influence Nanopore assembly quality during sequence generation and bioinformatic processing.The consensus sequence derived from de novo assembly of Nanopore data had a sequence identity of 99.59% compared to Illumina short-read de novo assembly. Most of the found errors comprise indels (81.5%), and a large majority of them is part of homopolymer regions. The quality of reference-based assembly is heavily dependent upon the choice of a close-enough reference. Using a reference with 0.83% sequence divergence from the studied species, mapping of Nanopore reads results in a consensus comparable to that from Nanopore de novo assembly, and of only slightly inferior quality compared to a reference-based assembly with Illumina data (0.49% and 0.26% divergence from Illumina de novo). For optimal assembly of Nanopore data, appropriate filtering of contaminants and chimeric sequences, as well as employing moderate read coverage, is essential.Based on these results, we conclude that Nanopore long reads are a suitable alternative to Illumina short reads in plastome phylogenomics. Only few errors remain in the finalized assembly, which can be easily masked in phylogenetic analyses without loss in analytical accuracy. The easily applicable and cost-effective technology might warrant more attention by researchers dealing with plant chloroplast genomes.

scholarly journals LongStitch: High-quality genome assembly correction and scaffolding using long reads

2021 ◽  
Author(s):  
Lauren Coombe ◽  
Janet X Li ◽  
Theodora Lo ◽  
Johnathan Wong ◽  
Vladimir Nikolic ◽  
...  
Keyword(s):  
Genome Assembly ◽  
De Novo ◽  
Draft Genome ◽  
Model Organisms ◽  
High Quality ◽  
De Novo Genome Assembly ◽  
Long Reads ◽  
Long Read ◽  
Genomic Regions ◽  
Genome Assemblies

Background Generating high-quality de novo genome assemblies is foundational to the genomics study of model and non-model organisms. In recent years, long-read sequencing has greatly benefited genome assembly and scaffolding, a process by which assembled sequences are ordered and oriented through the use of long-range information. Long reads are better able to span repetitive genomic regions compared to short reads, and thus have tremendous utility for resolving problematic regions and helping generate more complete draft assemblies. Here, we present LongStitch, a scalable pipeline that corrects and scaffolds draft genome assemblies exclusively using long reads. Results LongStitch incorporates multiple tools developed by our group and runs in up to three stages, which includes initial assembly correction (Tigmint-long), followed by two incremental scaffolding stages (ntLink and ARKS-long). Tigmint-long and ARKS-long are misassembly correction and scaffolding utilities, respectively, previously developed for linked reads, that we adapted for long reads. Here, we describe the LongStitch pipeline and introduce our new long-read scaffolder, ntLink, which utilizes lightweight minimizer mappings to join contigs. LongStitch was tested on short and long-read assemblies of three different human individuals using corresponding nanopore long-read data, and improves the contiguity of each assembly from 2.0-fold up to 304.6-fold (as measured by NGA50 length). Furthermore, LongStitch generates more contiguous and correct assemblies compared to state-of-the-art long-read scaffolder LRScaf in most tests, and consistently runs in under five hours using less than 23GB of RAM. Conclusions Due to its effectiveness and efficiency in improving draft assemblies using long reads, we expect LongStitch to benefit a wide variety of de novo genome assembly projects. The LongStitch pipeline is freely available at https://github.com/bcgsc/longstitch.

scholarly journals A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

2020 ◽  
Author(s):  
Eugenie C. Yen ◽  
Shane A. McCarthy ◽  
Juan A. Galarza ◽  
Tomas N. Generalovic ◽  
Sarah Pelan ◽  
...  
Keyword(s):  
Population Structure ◽  
Genome Assembly ◽  
De Novo ◽  
Consensus Sequence ◽  
Parental Origin ◽  
De Novo Genome Assembly ◽  
Geographic Population ◽  
Long Reads ◽  
Tiger Moth ◽  
Innovative Solution

ABSTRACTBackgroundDiploid genome assembly is typically impeded by heterozygosity, as it introduces errors when haplotypes are collapsed into a consensus sequence. Trio binning offers an innovative solution which exploits heterozygosity for assembly. Short, parental reads are used to assign parental origin to long reads from their F1 offspring before assembly, enabling complete haplotype resolution. Trio binning could therefore provide an effective strategy for assembling highly heterozygous genomes which are traditionally problematic, such as insect genomes. This includes the wood tiger moth (Arctia plantaginis), which is an evolutionary study system for warning colour polymorphism.FindingsWe produced a high-quality, haplotype-resolved assembly for Arctia plantaginis through trio binning. We sequenced a same-species family (F1 heterozygosity ∼1.9%) and used parental Illumina reads to bin 99.98% of offspring Pacific Biosciences reads by parental origin, before assembling each haplotype separately and scaffolding with 10X linked-reads. Both assemblies are highly contiguous (mean scaffold N50: 8.2Mb) and complete (mean BUSCO completeness: 97.3%), with complete annotations and 31 chromosomes identified through karyotyping. We employed the assembly to analyse genome-wide population structure and relationships between 40 wild resequenced individuals from five populations across Europe, revealing the Georgian population as the most genetically differentiated with the lowest genetic diversity.ConclusionsWe present the first invertebrate genome to be assembled via trio binning. This assembly is one of the highest quality genomes available for Lepidoptera, supporting trio binning as a potent strategy for assembling highly heterozygous genomes. Using this assembly, we provide genomic insights into geographic population structure of Arctia plantaginis.

scholarly journals Hybrid Genome Assembly of a Neotropical Mutualistic Ant

2019 ◽  
Vol 11 (8) ◽  
pp. 2306-2311
Author(s):  
Juliane Hartke ◽  
Tilman Schell ◽  
Evelien Jongepier ◽  
Hanno Schmidt ◽  
Philipp P Sprenger ◽  
...  
Keyword(s):  
Communication System ◽  
De Novo ◽  
Draft Genome ◽  
Cuticular Hydrocarbon ◽  
Mechanistic Explanation ◽  
High Quality ◽  
Great Opportunity ◽  
Long Reads ◽  
Oxford Nanopore ◽  
Hybrid Genome

Abstract The success of social insects is largely intertwined with their highly advanced chemical communication system that facilitates recognition and discrimination of species and nest-mates, recruitment, and division of labor. Hydrocarbons, which cover the cuticle of insects, not only serve as waterproofing agents but also constitute a major component of this communication system. Two cryptic Crematogaster species, which share their nest with Camponotus ants, show striking diversity in their cuticular hydrocarbon (CHC) profile. This mutualistic system therefore offers a great opportunity to study the genetic basis of CHC divergence between sister species. As a basis for further genome-wide studies high-quality genomes are needed. Here, we present the annotated draft genome for Crematogaster levior A. By combining the three most commonly used sequencing techniques—Illumina, PacBio, and Oxford Nanopore—we constructed a high-quality de novo ant genome. We show that even low coverage of long reads can add significantly to overall genome contiguity. Annotation of desaturase and elongase genes, which play a role in CHC biosynthesis revealed one of the largest repertoires in ants and a higher number of desaturases in general than in other Hymenoptera. This may provide a mechanistic explanation for the high diversity observed in C. levior CHC profiles.

Sign in / Sign up

Export Citation Format

Share Document