Linked-read Technology Research Articles

IterCluster: a barcode clustering algorithm for long fragment read analysis.

Recent advances in long fragment read (LFR, also known as linked-read technologies or read-cloud) technologies, such as single tube long fragment reads (stLFR), 10X Genomics Chromium reads, and TruSeq synthetic long-reads, have enabled efficient haplotyping and genome assembly. However, in the case of stLFR and 10X Genomics Chromium reads, the long fragments of a genome are covered sparsely by reads in each barcode and most barcodes are contained in multiple long fragments from different regions, which results in inefficient assembly when using long-range information. Thus, methods to address these shortcomings are vital for capitalizing on the additional information obtained using these technologies. We therefore designed IterCluster, a novel, alignment-free clustering algorithm that can cluster barcodes from the same target region of a genome, using -mer frequency-based features and a Markov Cluster (MCL) approach to identify enough reads in a target region of a genome to ensure sufficient target genome sequence depth. The IterCluster method was validated using BGI stLFR and 10X Genomics chromium reads datasets. IterCluster had a higher precision and recall rate on BGI stLFR data compared to 10X Genomics Chromium read data. In addition, we demonstrated how IterCluster improves the de novo assembly results when using a divide-and-conquer strategy on a human genome data set (scaffold/contig N50 = 13.2 kbp/7.1 kbp vs. 17.1 kbp/11.9 kbp before and after IterCluster, respectively). IterCluster provides a new way for determining LFR barcode enrichment and a novel approach for de novo assembly using LFR data. IterCluster is OpenSource and available on https://github.com/JianCong-WENG/IterCluster.

Draft Genome of the Rice CoralMontipora capitata Obtained from Linked-Read Sequencing.

The rice coral, Montipora capitata, is widely distributed throughout the Indo-Pacific and comprises one of the most important reef-building species in the Hawaiian Islands. Here, we describe a de novo assembly of its genome based on a linked-read sequencing approach developed by 10x Genomics. The final draft assembly consisted of 27,870 scaffolds with a N50 size of 186 kb and contained a fairly complete set (81%) of metazoan benchmarking (BUSCO) genes. Based on haploid assembly size (615 Mb) and read k-mer profiles, we estimated the genome size to fall between 600 and 700 Mb, although the high fraction of repetitive sequence introduced considerable uncertainty. Repeat analysis indicated that 42% of the assembly consisted of interspersed, mostly unclassified repeats, and almost 3% tandem repeats. We also identified 36,691 protein-coding genes with a median coding sequence length of 807 bp, together spanning 7% of the assembly. The high repeat content and heterozygosity of the genome proved a challenging scenario for assembly, requiring additional steps to merge haplotypes and resulting in a higher than expected fragmentation at the scaffold level. Despite these challenges, the assembly turned out to be comparable in most quality measures to that of other available coral genomes while being considerably more cost-effective, especially with respect to long-read sequencing methods. Provided high-molecular-weight DNA is available, linked-read technology may thus serve as a valuable alternative capable of providing quality genome assemblies of nonmodel organisms.

Draft Genome of the Rice Coral Montipora capitata Obtained from Linked-Read Sequencing.

The rice coral, Montipora capitata, is widely distributed throughout the Indo-Pacific and comprises one of the most important reef-building species in the Hawaiian Islands. Here, we describe a de novo assembly of its genome based on a linked-read sequencing approach developed by 10x Genomics. The final draft assembly consisted of 27,870 scaffolds with a N50 size of 186 kb and contained a fairly complete set (81%) of metazoan benchmarking (BUSCO) genes. Based on haploid assembly size (615 Mb) and read k-mer profiles, we estimated the genome size to fall between 600 and 700 Mb, although the high fraction of repetitive sequence introduced considerable uncertainty. Repeat analysis indicated that 42% of the assembly consisted of interspersed, mostly unclassified repeats, and almost 3% tandem repeats. We also identified 36,691 protein-coding genes with a median coding sequence length of 807 bp, together spanning 7% of the assembly. The high repeat content and heterozygosity of the genome proved a challenging scenario for assembly, requiring additional steps to merge haplotypes and resulting in a higher than expected fragmentation at the scaffold level. Despite these challenges, the assembly turned out to be comparable in most quality measures to that of other available coral genomes while being considerably more cost-effective, especially with respect to long-read sequencing methods. Provided high-molecular-weight DNA is available, linked-read technology may thus serve as a valuable alternative capable of providing quality genome assemblies of nonmodel organisms.

Systematic analysis of dark and camouflaged genes reveals disease-relevant genes hiding in plain sight

BackgroundThe human genome contains “dark” gene regions that cannot be adequately assembled or aligned using standard short-read sequencing technologies, preventing researchers from identifying mutations within these gene regions that may be relevant to human disease. Here, we identify regions with few mappable reads that we call dark by depth, and others that have ambiguous alignment, called camouflaged. We assess how well long-read or linked-read technologies resolve these regions.ResultsBased on standard whole-genome Illumina sequencing data, we identify 36,794 dark regions in 6054 gene bodies from pathways important to human health, development, and reproduction. Of these gene bodies, 8.7% are completely dark and 35.2% are ≥ 5% dark. We identify dark regions that are present in protein-coding exons across 748 genes. Linked-read or long-read sequencing technologies from 10x Genomics, PacBio, and Oxford Nanopore Technologies reduce dark protein-coding regions to approximately 50.5%, 35.6%, and 9.6%, respectively. We present an algorithm to resolve most camouflaged regions and apply it to the Alzheimer’s Disease Sequencing Project. We rescue a rare ten-nucleotide frameshift deletion in CR1, a top Alzheimer’s disease gene, found in disease cases but not in controls.ConclusionsWhile we could not formally assess the association of the CR1 frameshift mutation with Alzheimer’s disease due to insufficient sample-size, we believe it merits investigating in a larger cohort. There remain thousands of potentially important genomic regions overlooked by short-read sequencing that are largely resolved by long-read technologies.

Minerva: an alignment- and reference-free approach to deconvolve Linked-Reads for metagenomics.

Emerging Linked-Read technologies (aka read cloud or barcoded short-reads) have revived interest in short-read technology as a viable approach to understand large-scale structures in genomes and metagenomes. Linked-Read technologies, such as the 10x Chromium system, use a microfluidic system and a specialized set of 3′ barcodes (aka UIDs) to tag short DNA reads sourced from the same long fragment of DNA; subsequently, the tagged reads are sequenced on standard short-read platforms. This approach results in interesting compromises. Each long fragment of DNA is only sparsely covered by reads, no information about the ordering of reads from the same fragment is preserved, and 3′ barcodes match reads from roughly 2–20 long fragments of DNA. However, compared to long-read technologies, the cost per base to sequence is far lower, far less input DNA is required, and the per base error rate is that of Illumina short-reads. In this paper, we formally describe a particular algorithmic issue common to Linked-Read technology: the deconvolution of reads with a single 3′ barcode into clusters that represent single long fragments of DNA. We introduce Minerva, a graph-based algorithm that approximately solves the barcode deconvolution problem for metagenomic data (where reference genomes may be incomplete or unavailable). Additionally, we develop two demonstrations where the deconvolution of barcoded reads improves downstream results, improving the specificity of taxonomic assignments and of k-mer-based clustering. To the best of our knowledge, we are the first to address the problem of barcode deconvolution in metagenomics.

Highly Continuous Genome Assembly of Eurasian Perch (Perca fluviatilis) Using Linked-Read Sequencing

The Eurasian perch (Perca fluviatilis) is the most common fish of the Percidae family and is widely distributed across Eurasia. Perch is a popular target for professional and recreational fisheries, and a promising freshwater aquaculture species in Europe. However, despite its high ecological, economical and societal importance, the available genomic resources for P. fluviatilis are rather limited. In this work, we report de novo assembly and annotation of the whole genome sequence of perch. The linked-read based technology with 10X Genomics Chromium chemistry and Supernova assembler produced a draft perch genome ∼1.0 Gbp assembly (scaffold N50 = 6.3 Mb; the longest individual scaffold of 29.3 Mb; BUSCO completeness of 88.0%), which included 281.6 Mb of putative repeated sequences. The perch genome assembly presented here, generated from small amount of starting material (0.75 ng) and a single linked-read library, is highly continuous and considerably more complete than the currently available draft of P. fluviatilis genome. A total of 23,397 protein-coding genes were predicted, 23,171 (99%) of which were annotated functionally from either sequence homology or protein signature searches. Linked-read technology enables fast, accurate and cost-effective de novo assembly of large non-model eukaryote genomes. The highly continuous assembly of the Eurasian perch genome presented in this study will be an invaluable resource for a range of genetic, ecological, physiological, ecotoxicological, functional and comparative genomic studies in perch and other fish species of the Percidae family.

Linked read technology for assembling large complex and polyploid genomes

BackgroundShort read DNA sequencing technologies have revolutionized genome assembly by providing high accuracy and throughput data at low cost. But it remains challenging to assemble short read data, particularly for large, complex and polyploid genomes. The linked read strategy has the potential to enhance the value of short reads for genome assembly because all reads originating from a single long molecule of DNA share a common barcode. However, the majority of studies to date that have employed linked reads were focused on human haplotype phasing and genome assembly.ResultsHere we describe a de novo maize B73 genome assembly generated via linked read technology which contains ~ 172,000 scaffolds with an N50 of 89 kb that cover 50% of the genome. Based on comparisons to the B73 reference genome, 91% of linked read contigs are accurately assembled. Because it was possible to identify errors with > 76% accuracy using machine learning, it may be possible to identify and potentially correct systematic errors. Complex polyploids represent one of the last grand challenges in genome assembly. Linked read technology was able to successfully resolve the two subgenomes of the recent allopolyploid, proso millet (Panicum miliaceum). Our assembly covers ~ 83% of the 1 Gb genome and consists of 30,819 scaffolds with an N50 of 912 kb.ConclusionsOur analysis provides a framework for future de novo genome assemblies using linked reads, and we suggest computational strategies that if implemented have the potential to further improve linked read assemblies, particularly for repetitive genomes.