Whole Genome Amplification Methods Research Articles

Abstract 322: Ultraplex genome and exome sequencing of rare single cells

Abstract Single-cell genome analysis enables researchers to gain novel insights into tumor heterogeneity. Conducting single-cell genomic analysis using next-generation sequencing (NGS) methods has traditionally been challenging since the amount of genomic DNA present in a single cell is limited. PCR-based amplification methods normally have high error rates, low coverage uniformity, and extensive allelic drop-outs making interpretation of SNVs and CNVs challenging.Here we introduce a new whole-genome amplification method which utilizes an optimized isothermal DNA amplification reaction with a Hi-fidelity, error correcting polymerase and downstream library preparation protocol to allow pooling of amplified DNA. The key DNA amplification steps use multiple displacement amplification (MDA) technology to amplify gDNA directly from single cells, nuclei or previously isolated genomic DNA. During the MDA reaction, sample-barcodes are incorporated into the newly synthetized DNA, allowing the amplified DNA to be pooled and processed in to one ultraplex library. This method saves library preparation time, reduces DNA library costs and limits plastic consumable usage.Our current workflow allows 24 samples to be multiplexed in one library and 24 libraries to be produced for a total of 576 samples per sequencing flow cell. This method can be used to investigate chromosomal instability with low pass sequencing or SNV and CNV analysis following whole genome, exome-capture workflows. Citation Format: Ioanna Andreou, Samuel Rulli, Katja Heitz, Silke Huebner, Christin Meerschiff, Eric Lader. Ultraplex genome and exome sequencing of rare single cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 322.

Preimplantation Genetic Testing for Single Gene Conditions and Aneuploidy

It is now over 30 years since the first pregnancies and live births following IVF, embryo biopsy and preimplantation genetic testing (PGT) were reported in 1990. Since then, methods for genetic analysis at the single-cell level have evolved alongside the rapid advances in human genetics and sequencing of the human genome. With the development of methods for whole genome amplification, such as multiple displacement amplification (MDA), genome-wide analysis is now possible. This has led to the development of microarray or next generation sequencing (NGS) based methods for genome-wide haplotyping of parental chromosomes in embryo samples and enabled universal linkage-based testing for monogenic diseases combined with molecular cytogenetic analysis of chromosome abnormalities. These comprehensive methods have also recently been exploited to calculate polygenic risk scores for common multifactorial conditions, such as diabetes, cardiovascular disease, and cancer. Although controversial, polygenic risk scoring may have a role for reducing residual risk of breast cancer, for example, in combination with PGT for pathogenic variants. Finally, there is now evidence that cell-free DNA in spent culture medium at the blastocyst stage may originate from nuclear DNA shedding from the trophectoderm. In the future, therefore, it may be possible to use this cell-free DNA for genome-wide analysis and comprehensive PGT to avoid embryo biopsy.

The Comparison of Two Whole-Genome Amplification Approaches for Noninvasive Preimplantation Genetic Testing (ni-PGT) and the Application Scenario of ni-PGT during the Fresh Cycle

Recently, noninvasive preimplantation genetic testing (ni-PGT) using degenerate oligonucleotide primer PCR (DOP-PCR) and multiple annealing and looping-based amplification cycle (MALBAC)-based whole-genome amplification (WGA) methods has demonstrated predictable results in embryo testing. However, a considerable heterogeneity of results has been reported in numerous studies on these two WGA methods. Our aim was to evaluate the current WGA method for ni-PGT while further clarifying the applicable scenarios of ni-PGT in the fresh cycle. A total of 173 embryos were tested with trophectoderm biopsy and ni-PGT. In the whole preimplantation genetic testing, the clinical concordance rates of the detection results of DOP-PCR and MALBAC with the corresponding trophectoderm biopsy results were 64.12% (84/131) and 68.99% (89/129), respectively (P=0.405). However, in the detection of abnormal embryos, the detection efficiency of ni-PGT is significantly improved [MALBAC: 96.55% versus 68.99% (P<0.001); and DOP-PCR: 89.09% versus 64.12% (P<0.001)]. In addition, the diagnostic efficiency of ni-PGT in low-quality blastocysts was significantly higher than that in high-quality blastocysts [MALBAC: 95.24% versus 51.85% (P=0.001); and DOP-PCR: 91.30% versus 48.15% (P=0.001)]. These results contribute to further understanding ni-PGT and to clarifying its application scenario in the fresh cycle.

Exploration of whole genome amplification generated chimeric sequences in long-read sequencing data.

Multiple displacement amplification (MDA) has become the most commonly used method of whole genome amplification, generating a vast amount of DNA with higher molecular weight and greater genome coverage. Coupling with long-read sequencing, it is possible to sequence the amplicons of over 20kb in length. However, the formation of chimeric sequences (chimeras, expressed as structural errors in sequencing data) in MDA seriously interferes with the bioinformatics analysis but its influence on long-read sequencing data is unknown. We sequenced the phi29 DNA polymerase-mediated MDA amplicons on the PacBio platform and analyzed chimeras within the generated data. The 3rd-ChimeraMiner has been constructed as a pipeline for recognizing and restoring chimeras into the original structures in long-read sequencing data, improving the efficiency of using TGS data. Five long-read datasets and one high-fidelity long-read dataset with various amplification folds were analyzed. The result reveals that the mis-priming events in amplification are more frequently occurring than widely perceived, and the propor tion gradually accumulates from 42% to over 78% as the amplification continues. In total, 99.92% of recognized chimeric sequences were demonstrated to be artifacts, whose structures were wrongly formed in MDA instead of existing in original genomes. By restoring chimeras to their original structures, the vast majority of supplementary alignments that introduce false-positive structural variants are recycled, removing 97% of inversions on average and contributing to the analysis of structural variation in MDA-amplified samples. The impact of chimeras in long-read sequencing data analysis should be emphasized, and the 3rd-ChimeraMiner can help to quantify and reduce the influence of chimeras. The 3rd-ChimeraMiner is available on GitHub, https://github.com/dulunar/3rdChimeraMiner.

A primer-independent DNA polymerase-based method for competent whole-genome amplification of intermediate to high GC sequences.

Multiple displacement amplification (MDA) has proven to be a useful technique for obtaining large amounts of DNA from tiny samples in genomics and metagenomics. However, MDA has limitations, such as amplification artifacts and biases that can interfere with subsequent quantitative analysis. To overcome these challenges, alternative methods and engineered DNA polymerase variants have been developed. Here, we present new MDA protocols based on the primer-independent DNA polymerase (piPolB), a replicative-like DNA polymerase endowed with DNA priming and proofreading capacities. These new methods were tested on a genomes mixture containing diverse sequences with high-GC content, followed by deep sequencing. Protocols relying on piPolB as a single enzyme cannot achieve competent amplification due to its limited processivity and the presence of ab initio DNA synthesis. However, an alternative method called piMDA, which combines piPolB with Φ29 DNA polymerase, allows proficient and faithful amplification of the genomes. In addition, the prior denaturation step commonly performed in MDA protocols is dispensable, resulting in a more straightforward protocol. In summary, piMDA outperforms commercial methods in the amplification of genomes andmetagenomes containing high GC sequences and exhibits similar profiling, error rateand variant determination as the non-amplified samples.

Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer

Lung cancer detection and monitoring are hampered by a lack of sensitive biomarkers, which results in diagnosis at late stages and difficulty in tracking response to treatment. Recent developments have established liquid biopsies as promising non-invasive methods for detecting biomarkers in lung cancer patients. With concurrent advances in high-throughput sequencing technologies and bioinformatics tools, new approaches for biomarker discovery have emerged. In this article, we survey established and emerging biomarker discovery methods using nucleic acid materials derived from bodily fluids in the context of lung cancer. We introduce nucleic acid biomarkers extracted from liquid biopsies and outline biological sources and methods of isolation. We discuss next-generation sequencing (NGS) platforms commonly used to identify novel biomarkers and describe how these have been applied to liquid biopsy. We highlight emerging biomarker discovery methods, including applications of long-read sequencing, fragmentomics, whole-genome amplification methods for single-cell analysis, and whole-genome methylation assays. Finally, we discuss advanced bioinformatics tools, describing methods for processing NGS data, as well as recently developed software tailored for liquid biopsy biomarker detection, which holds promise for early diagnosis of lung cancer.

Back to Basics: A Simplified Improvement to Multiple Displacement Amplification for Microbial Single-Cell Genomics

Microbial single-cell genomics (SCG) provides access to the genomes of rare and uncultured microorganisms and is a complementary method to metagenomics. Due to the femtogram-levels of DNA in a single microbial cell, sequencing the genome requires whole genome amplification (WGA) as a preliminary step. However, the most common WGA method, multiple displacement amplification (MDA), is known to be costly and biased against specific genomic regions, preventing high-throughput applications and resulting in uneven genome coverage. Thus, obtaining high-quality genomes from many taxa, especially minority members of microbial communities, becomes difficult. Here, we present a volume reduction approach that significantly reduces costs while improving genome coverage and uniformity of DNA amplification products in standard 384-well plates. Our results demonstrate that further volume reduction in specialized and complex setups (e.g., microfluidic chips) is likely unnecessary to obtain higher-quality microbial genomes. This volume reduction method makes SCG more feasible for future studies, thus helping to broaden our knowledge on the diversity and function of understudied and uncharacterized microorganisms in the environment.

THE PERFORMANCE AND IMPLICATION OF TWO WHOLE GENOME AMPLIFICATION APPROACHES FOR NON-INVASIVE GENETIC TESTING

To investigate the performance and differences of two whole-genome amplification (WGA) methods of Malbac and PicoPLEX in non-invasive preimplantation genetic testing(niPGT) based on spent media (SCM) in PGT cycle.

Abstract 2949: Enabling single cell analysis of copy number variation in breast cancer

Abstract Breast cancer is arguably one of the solid tumors most comprehensively analyzed by massively parallel sequencing. Although the repertoire of clonal somatic genetic alterations in primary and metastatic breast cancers has been characterized, a complete characterization of the subclonal genetic alterations present in these cancers, as well as their clonal composition and clonal dynamics remain to be fully defined. Addressing these knowledge gaps is germane to the successful personalization of treatments for breast cancer patients. Single cell sequencing is uncovering many insights into the clonal evolution and heterogeneity of breast cancers and how this can be leveraged for clinical and therapeutic benefit. Bulk next generation sequencing has primarily focused on mutation profiling; however, there are several lines of evidence to demonstrate the biological and clinical importance of accurately detecting copy number alterations. Previous single cell sequencing studies focusing on copy number alterations were based on whole-genome amplification methods or could not concurrently define the repertoire of somatic mutations and copy number alterations in single cells. Here we report on a novel single cell DNA sequencing approach leveraging the Tapestri device and Insights bioinformatic pipeline to detect both copy number alterations and somatic mutations in individual cells derived from breast cancer specimens. The identification of targeted somatic genetic alterations at single cell resolution provides novel insights about the development, progression and therapeutic resistance of breast cancers, and enables the development of novel diagnostic tools and predictive biomarkers. Citation Format: Saurabh Parikh, Arnaud Da Cruz Paula, Shirin Issa Bhaloo, Alex Li, Britta Weigelt, Khushali Patel, Ania Wronski, Anup Parikh, Khushali Patel, Jorge Reis-Filho. Enabling single cell analysis of copy number variation in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2949.

Assessment of Multiple Annealing and Looping-Based Amplification Cycle-Based Whole-Genome Amplification for Short Tandem Repeat Genotyping of Low Copy Number-DNA.

Aim: A common problem in forensic practice is the lack of sufficient amounts of good quality genomic DNA. A possible solution is the amplification of the available genomic DNA before locus-specific polymerase chain reaction (PCR) analysis. The aim of this study was to evaluate multiple annealing and looping-based amplification cycle (MALBAC)-based whole-genome amplification (WGA) for short tandem repeat (STR) genotyping of low copy number DNA (LCN-DNA). Materials and Methods: DNA isolated from five blood samples was quantified and diluted to 250, 150, 100, 50, 25, and 5 pg/μL. After preamplification with MALBAC, WGA products were quantified. PCR-STR genotyping was performed in triplicate using dilution or purification-treated WGA products for each level of DNA. STR profiles were analyzed and compared with that from non-WGA DNA. Results: The purification treatment performed better than dilution of the MALBAC-based WGA products. Compared with the non-WGA DNA, both the average number and peak heights of correct alleles were significantly improved after preamplification with the MALBAC-based WGA at DNA inputs of ≤50 pg. Like other WGA methods, allele dropout and allele drop-in were observed in the profiling results for many samples. Conclusions: MALBAC shows great potential in LCN-DNA analysis and could find broader application in the fields of forensics and genetics.

5WBF: a low-cost and straightforward whole blood filtration method suitable for whole-genome sequencing of Plasmodium falciparum clinical isolates

BackgroundWhole-genome sequencing (WGS) is becoming increasingly helpful to assist malaria control programmes. A major drawback of this approach is the large amount of human DNA compared to parasite DNA extracted from unprocessed whole blood. As red blood cells (RBCs) have a diameter of about 7–8 µm and exhibit some deformability, it was hypothesized that cheap and commercially available 5 µm filters might retain leukocytes but much less of Plasmodium falciparum-infected RBCs. This study aimed to test the hypothesis that such a filtration method, named 5WBF (for 5 µm Whole Blood Filtration), may provide highly enriched parasite material suitable for P. falciparum WGS.MethodsWhole blood was collected from five patients experiencing a P. falciparum malaria episode (ring-stage parasitaemia range: 0.04–5.5%) and from mock samples obtained by mixing synchronized, ring-stage cultured P. falciparum 3D7 parasites with uninfected human whole blood (final parasitaemia range: 0.02–1.1%). These whole blood samples (50 to 400 µL) were diluted in RPMI 1640 medium or PBS 1× buffer and filtered with a syringe connected to a 5 µm commercial filter. DNA was extracted from 5WBF-treated and unfiltered counterpart blood samples using a commercial kit. The 5WBF method was evaluated on the ratios of parasite:human DNA assessed by qPCR and by sequencing depth and percentages of coverage from WGS data (Illumina NextSeq 500). As a comparison, the popular selective whole-genome amplification (sWGA) method, which does not rely on blood filtration, was applied to the unfiltered counterpart blood samples.ResultsAfter applying 5WBF, qPCR indicated an average of twofold loss in the amount of parasite template DNA (Pf ARN18S gene) and from 4096- to 65,536-fold loss of human template DNA (human β actin gene). WGS analyses revealed that > 95% of the parasite nuclear and organellar genomes were all covered at ≥ 10× depth for all samples tested. In sWGA counterparts, the organellar genomes were poorly covered and from 47.7 to 82.1% of the nuclear genome was covered at ≥ 10× depth depending on parasitaemia. Sequence reads were homogeneously distributed across gene sequences for 5WBF-treated samples (n = 5460 genes; mean coverage: 91×; median coverage: 93×; 5th percentile: 70×; 95th percentile: 103×), allowing the identification of gene copy number variations such as for gch1. This later analysis was not possible for sWGA-treated samples, as a much more heterogeneous distribution of reads across gene sequences was observed (mean coverage: 80×; median coverage: 51×; 5th percentile: 7×; 95th percentile: 245×).ConclusionsThe novel 5WBF leucodepletion method is simple to implement and based on commercially available, standardized 5 µm filters which cost from 1.0 to 1.7€ per unit depending on suppliers. 5WBF permits extensive genome-wide analysis of P. falciparum ring-stage isolates from minute amounts of whole blood even with parasitaemias as low as 0.02%.

Recent advances and application of whole genome amplification in molecular diagnosis and medicine.

Whole genome amplification (WGA) is a technology for non‐selective amplification of the whole genome sequence, first appearing in 1992. Its primary purpose is to amplify and reflect the whole genome of trace tissues and single cells without sequence bias and to provide sufficient DNA template for subsequent multigene and multilocus analysis, along with comprehensive genome research. WGA provides a method to obtain a large amount of genetic information from a small amount of DNA and provides a valuable tool for preserving limited samples in molecular biology. WGA technology is especially suitable for forensic identification and genetic disease research, along with new technologies such as next‐generation sequencing (NGS). In addition, WGA is also widely used in single‐cell sequencing. Due to the small amount of DNA in a single cell, it is often unable to meet the amount of samples needed for sequencing, so WGA is generally used to achieve the amplification of trace samples. This paper reviews WGA methods based on different principles, summarizes both amplification principle and amplification quality, and discusses the application prospects and challenges of WGA technology in molecular diagnosis and medicine.

Identification of Somatic Mutations From Bulk and Single-Cell Sequencing Data.

Somatic mutations are DNA variants that occur after the fertilization of zygotes and accumulate during the developmental and aging processes in the human lifespan. Somatic mutations have long been known to cause cancer, and more recently have been implicated in a variety of non-cancer diseases. The patterns of somatic mutations, or mutational signatures, also shed light on the underlying mechanisms of the mutational process. Advances in next-generation sequencing over the decades have enabled genome-wide profiling of DNA variants in a high-throughput manner; however, unlike germline mutations, somatic mutations are carried only by a subset of the cell population. Thus, sensitive bioinformatic methods are required to distinguish mutant alleles from sequencing and base calling errors in bulk tissue samples. An alternative way to study somatic mutations, especially those present in an extremely small number of cells or even in a single cell, is to sequence single-cell genomes after whole-genome amplification (WGA); however, it is critical and technically challenging to exclude numerous technical artifacts arising during error-prone and uneven genome amplification in current WGA methods. To address these challenges, multiple bioinformatic tools have been developed. In this review, we summarize the latest progress in methods for identification of somatic mutations and the challenges that remain to be addressed in the future.

Single-cell Damagenome Profiling by Linear Copying and Splitting based Whole Genome Amplification (LCS-WGA).

Spontaneous DNA damage frequently occurs on the human genome, and it could alter gene expression by inducing mutagenesis or epigenetic changes. Therefore, it is highly desired to profile DNA damage distribution on the human genome and identify the genes that are prone to DNA damage. Here, we present a novel single-cell whole-genome amplification method which employs linear-copying followed by a split-amplification scheme, to efficiently remove amplification errors and achieve accurate detection of DNA damage in individual cells. In comparison to previous methods that measure DNA damage, our method uses a next-generation sequencing platform to detect misincorporated bases derived from spontaneous DNA damage with single-cell resolution.

Single-cell damagenome profiling unveils vulnerable genes and functional pathways in human genome toward DNA damage.

We report a novel single-cell whole-genome amplification method (LCS-WGA) that can efficiently capture spontaneous DNA damage existing in single cells. We refer to these damage-associated single-nucleotide variants as "damSNVs," and the whole-genome distribution of damSNVs as the damagenome. We observed that in single human neurons, the damagenome distribution was significantly correlated with three-dimensional genome structures. This nonuniform distribution indicates different degrees of DNA damage effects on different genes. Next, we identified the functionals that were significantly enriched in the high-damage genes. Similar functionals were also enriched in the differentially expressed genes (DEGs) detected by single-cell transcriptome of both Alzheimer's disease (AD) and autism spectrum disorder (ASD). This result can be explained by the significant enrichment of high-damage genes in the DEGs of neurons for both AD and ASD. The discovery of high-damage genes sheds new lights on the important roles of DNA damage in human diseases and disorders.

The true incidence of chromosomal mosaicism after preimplantation genetic testing is much lower than that indicated by trophectoderm biopsy.

What is the true incidence of chromosomal mosaicism in embryos analyzed by preimplantation genetic testing (PGT). The true incidence of chromosomal mosaicism is much lower than we usually surmise. In recent years, contemporary methods for chromosome analysis, along with the biopsy of more than one cell, have given rise to an increased rate of chromosomal mosaicism detection after preimplantation genetic testing for aneuploidy. However, the exorbitant incidence of mosaicism represents a dilemma and imposes restrictions on the application of PGT treatment. Concern has been raised about the possibility that the incidence of chromosomal mosaicism is overestimated and quite a few of the results are false-positive errors. However, studies verifying the diagnosis of chromosomal mosaicism and assessing the true incidence of chromosomal mosaicism are limited. A total of 1719 blastocysts from 380 patients who underwent PGT treatment were retrospectively analyzed to evaluate the typical incidence of mosaicism. Then 101 embryos donated by 70 couples were re-biopsied and dissected into three portions if available: trophectoderm (TE), inner cell mass (ICM), and the remaining portions. All the portions were tested using next-generation sequencing (NGS), and the results were compared to the original diagnosis. The setting for this study was a university-affiliated center with an in-house PGT laboratory. All samples were amplified with multiple annealing and looping-based amplification cycles (MALBACs) and the NGS was carried out on a Life Technologies Ion Proton platform. A clinical TE biopsy revealed an incidence of 11.9% for diploid-aneuploid mosaicism (DAM), 17.3% for aneuploid mosaicism (AM) and 29.1% in total. After rebiopsy, 94.1% whole-chromosome aneuploidies and 82.8% segmental-chromosome aneuploidies were confirmed in the embryos. As for the mosaic errors, only 32 (31.7%) out of 101 embryos presented with uniform chromosomal aberrations in agreement with the original biopsy results, 15 (14.8%) embryos presented with de novo chromosomal aberrations, and 54 (53.5%) embryos showed a euploid profile in all portions. Among the 32 uniform embryos, the true mosaicism was confirmed in only 4 cases, where a reciprocal chromosomal aberration was identified; 14 embryos presented with identical mosaicism, providing the moderate evidence for true mosaicism; and 14 embryos displayed uniform full aneuploidies in all portions of embryo, revealing a high-grade mosaicism or a false-negative diagnosis. Logistical regression analysis revealed that the concordance rate with ICM was associated with the type and level of mosaicism. The concordance rate of segmental-chromosome mosaicism was significantly lower than whole-chromosome mosaicism (adjusted Odds Ratio (aOR): 5.137 (1.061, 24.876), P = 0.042) and compared to DAM, the concordance rate of AM was significantly higher (aOR: 6.546 (1.354, 31.655), P = 0.019). The concordance rate also increased with increasing levels of mosaicism (P < 0.001). This study was limited by a small sample size and the use of a single whole-genome amplification (WGA) method and NGS platform. These findings are only applicable to samples subjected to MALBAC amplification and Ion Proton platform, and studies involving larger sample sizes and multiple WGA methods and NGS platforms are required to prove our findings. TE biopsy is reliable to detect whole-chromosome aneuploidies, but the ability to diagnose mosaicism is doubtful. More attention should be paid to false-positive and false-negative errors in NGS-based PGT, especially for laboratories using less stringent criteria for mosaicism classification (i.e. 20-80%), which might be subject to a much higher false-positive mosaicism rate in the practice. This study was supported by grants from the National Key R&D Program of China (No. 2016YFC1000206-5) and the National Natural Science Foundation of China (No. 81701509). N/A.

Characterizing Repeats in Two Whole-Genome Amplification Methods in the Reniform Nematode Genome.

One of the major problems in the U.S. and global cotton production is the damage caused by the reniform nematode, Rotylenchulus reniformis. Amplification of DNA from single nematodes for further molecular analysis can be challenging sometimes. In this research, two whole-genome amplification (WGA) methods were evaluated for their efficiencies in DNA amplification from a single reniform nematode. The WGA was carried out using both REPLI-g Mini and Midi kits, and the GenomePlex single cell whole-genome amplification kit. Sequence analysis produced 4 Mb and 12 Mb of genomic sequences for the reniform nematode using REPLI-g and SIGMA libraries. These sequences were assembled into 28,784 and 24,508 contigs, respectively, for REPLI-g and SIGMA libraries. The highest repeats in both libraries were of low complexity, and the lowest for the REPLI-g library were for satellites and for the SIGMA library, RTE/BOV-B. The same kind of repeats were observed for both libraries; however, the SIGMA library had four other repeat elements (Penelope (long interspersed nucleotide element (LINE)), RTE/BOV-B (LINE), PiggyBac, and Mirage/P-element/Transib), which were not seen in the REPLI-g library. DNA transposons were also found in both libraries. Both reniform nematode 18S rRNA variants (RN_VAR1 and RN_VAR2) could easily be identified in both libraries. This research has therefore demonstrated the ability of using both WGA methods, in amplification of gDNA isolated from single reniform nematodes.

Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands

Single-nucleotide variants (SNVs), pertinent to aging and disease, occur sporadically in the human genome, hence necessitating single-cell measurements. However, detection of single-cell SNVs suffers from false positives (FPs) due to intracellular single-stranded DNA damage and the process of whole-genome amplification (WGA). Here, we report a single-cell WGA method termed multiplexed end-tagging amplification of complementary strands (META-CS), which eliminates nearly all FPs by virtue of DNA complementarity, and achieved the highest accuracy thus far. We validated META-CS by sequencing kindred cells and human sperm, and applied it to other human tissues. Investigation of mature single human neurons revealed increasing SNVs with age and potentially unrepaired strand-specific oxidative guanine damage. We determined SNV frequencies along the genome in differentiated single human blood cells, and identified cell type-dependent mutational patterns for major types of lymphocytes.

Incomplete lineage sorting and ancient admixture, and speciation without morphological change in ghost-worm cryptic species.

Morphologically similar species, that is cryptic species, may be similar or quasi-similar owing to the deceleration of morphological evolution and stasis. While the factors underlying the deceleration of morphological evolution or stasis in cryptic species remain unknown, decades of research in the field of paleontology on punctuated equilibrium have originated clear hypotheses. Species are expected to remain morphologically identical in scenarios of shared genetic variation, such as hybridization and incomplete lineage sorting, or in scenarios where bottlenecks reduce genetic variation and constrain the evolution of morphology. Here, focusing on three morphologically similar Stygocapitella species, we employ a whole-genome amplification method (WGA) coupled with double-digestion restriction-site associated DNA sequencing (ddRAD) to reconstruct the evolutionary history of the species complex. We explore population structure, use population-level statistics to determine the degree of connectivity between populations and species, and determine the most likely demographic scenarios which generally reject for recent hybridization. We find that the combination of WGA and ddRAD allowed us to obtain genomic-level data from microscopic eukaryotes (∼1 millimetre) opening up opportunities for those working with population genomics and phylogenomics in such taxa. The three species share genetic variance, likely from incomplete lineage sorting and ancient admixture. We speculate that the degree of shared variation might underlie morphological similarity in the Atlantic species complex.

Recent advances and application in whole‐genome multiple displacement amplification

BackgroundThe extremely small amount of DNA in a cell makes it difficult to study the whole genome of single cells, so whole‐genome amplification (WGA) is necessary to increase the DNA amount and enable downstream analyses. Multiple displacement amplification (MDA) is the most widely used WGA technique.ResultsCompared with amplification methods based on PCR and other methods, MDA renders high‐quality DNA products and better genome coverage by using phi29 DNA polymerase. Moreover, recently developed advanced MDA technologies such as microreactor MDA, emulsion MDA, and micro‐channel MDA have improved amplification uniformity. Additionally, the development of other novel methods such as TruePrime WGA allows for amplification without primers.ConclusionHere, we reviewed a selection of recently developed MDA methods, their advantages over other WGA methods, and improved MDA‐based technologies, followed by a discussion of future perspectives. With the continuous development of MDA and the successive update of detection technologies, MDA will be applied in increasingly more fields and provide a solid foundation for scientific research.