scholarly journals ‘There and back again’: revisiting the pathophysiological roles of human endogenous retroviruses in the post-genomic era

2013 ◽  
Vol 368 (1626) ◽  
pp. 20120504 ◽  
Author(s):  
Gkikas Magiorkinis ◽  
Robert Belshaw ◽  
Aris Katzourakis
Keyword(s):  
Human Genome ◽  
High Throughput Sequencing ◽  
Immune Escape ◽  
Genomic Sequence ◽  
Sequence Data ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retroviruses ◽  
The Past ◽  
Sequencing Technologies ◽  
Research Questions

Almost 8% of the human genome comprises endogenous retroviruses (ERVs). While they have been shown to cause specific pathologies in animals, such as cancer, their association with disease in humans remains controversial. The limited evidence is partly due to the physical and bioethical restrictions surrounding the study of transposons in humans, coupled with the major experimental and bioinformatics challenges surrounding the association of ERVs with disease in general. Two biotechnological landmarks of the past decade provide us with unprecedented research artillery: (i) the ultra-fine sequencing of the human genome and (ii) the emergence of high-throughput sequencing technologies. Here, we critically assemble research about potential pathologies of ERVs in humans. We argue that the time is right to revisit the long-standing questions of human ERV pathogenesis within a robust and carefully structured framework that makes full use of genomic sequence data. We also pose two thought-provoking research questions on potential pathophysiological roles of ERVs with respect to immune escape and regulation.

scholarly journals Identification and Characterization of Novel Human Endogenous Retrovirus Families by Phylogenetic Screening of the Human Genome Mapping Project Database

2000 ◽  
Vol 74 (8) ◽  
pp. 3715-3730 ◽  
Author(s):  
Michael Tristem
Keyword(s):  
Human Genome ◽  
Genome Mapping ◽  
Sequence Data ◽  
Endogenous Retrovirus ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retrovirus ◽  
Sequence Information ◽  
Class Iii ◽  
Genome Mapping Project ◽  
Human Genome Mapping Project

ABSTRACT Human endogenous retroviruses (HERVs) were first identified almost 20 years ago, and since then numerous families have been described. It has, however, been difficult to obtain a good estimate of both the total number of independently derived families and their relationship to each other as well as to other members of the familyRetroviridae. In this study, I used sequence data derived from over 150 novel HERVs, obtained from the Human Genome Mapping Project database, and a variety of recently identified nonhuman retroviruses to classify the HERVs into 22 independently acquired families. Of these, 17 families were loosely assigned to the class I HERVs, 3 to the class II HERVs and 2 to the class III HERVs. Many of these families have been identified previously, but six are described here for the first time and another four, for which only partial sequence information was previously available, were further characterized. Members of each of the 10 families are defective, and calculation of their integration dates suggested that most of them are likely to have been present within the human lineage since it diverged from the Old World monkeys more than 25 million years ago.

scholarly journals Assessing pollution of aquatic environments with diatoms’ DNA metabarcoding: experience and developments from France water framework directive networks

2019 ◽  
Vol 3 ◽  
Author(s):  
Vasselon Valentin ◽  
Rimet Frédéric ◽  
Domaizon Isabelle ◽  
Monnier Olivier ◽  
Reyjol Yorick ◽  
...  
Keyword(s):  
Water Framework Directive ◽  
High Throughput Sequencing ◽  
Ecological Status ◽  
Aquatic Environments ◽  
Morphological Identification ◽  
The Past ◽  
Sequencing Technologies ◽  
Dna Metabarcoding ◽  
Morphological Approach ◽  
Status Assessment

Ecological status assessment of watercourses is based on the calculation of quality indices using pollution sensitivity of targeted biological groups, including diatoms. The determination and quantification of diatom species is generally based on microscopic morphological identification, which requires expertise and is time-consuming and costly. In Europe, this morphological approach is legally imposed by standards and regulatory decrees by the Water Framework Directive (WFD). Over the past decade, a DNA-based molecular biology approach has newly been developed to identify species based on genetic criteria rather than morphological ones (i.e. DNA metabarcoding). In combination with high throughput sequencing technologies, metabarcoding makes it possible both to identify all species present in an environmental sample and to process several hundred samples in parallel. This article presents the results of two recent studies carried out on the WFD networks of rivers of Mayotte (2013–2018) and metropolitan France (2016–2018). These studies aimed at testing the potential application of metabarcoding for biomonitoring in the context of the WFD. We discuss the various methodological developments and optimisations that have been made to make the taxonomic inventories of diatoms produced by metabarcoding more reliable, particularly in terms of species quantification. We present the results of the application of this DNA approach on more than 500 river sites, comparing them with those obtained using the standardised morphological method. Finally, we discuss the potential of metabarcoding for routine application, its limits of application and propose some recommendations for future implementation in WFD.

Phylogenomics of orchids and their mycorrhizal fungi : trees, diversity, and the pursuit of symbiosis

2019 ◽  
Author(s):  
◽  
Sarah Unruh
Keyword(s):  
Mycorrhizal Fungi ◽  
Phylogenetic Trees ◽  
High Throughput Sequencing ◽  
Genomic Sequence ◽  
Sequence Data ◽  
Mycorrhizal Symbiosis ◽  
Sequencing Data ◽  
Phylogenetic Structure ◽  
University Of Missouri ◽  
Fungal Symbiosis

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Phylogenetic trees show us how organisms are related and provide frameworks for studying and testing evolutionary hypotheses. To better understand the evolution of orchids and their mycorrhizal fungi, I used high-throughput sequencing data and bioinformatic analyses, to build phylogenetic hypotheses. In Chapter 2, I used transcriptome sequences to both build a phylogeny of the slipper orchid genera and to confirm the placement of a polyploidy event at the base of the orchid family. Polyploidy is hypothesized to be a strong driver of evolution and a source of unique traits so confirming this event leads us closer to explaining extant orchid diversity. The list of orthologous genes generated from this study will provide a less expensive and more powerful method for researchers examining the evolutionary relationships in Orchidaceae. In Chapter 3, I generated genomic sequence data for 32 fungal isolates that were collected from orchids across North America. I inferred the first multi-locus nuclear phylogenetic tree for these fungal clades. The phylogenetic structure of these fungi will improve the taxonomy of these clades by providing evidence for new species and for revising problematic species designations. A robust taxonomy is necessary for studying the role of fungi in the orchid mycorrhizal symbiosis. In chapter 4 I summarize my work and outline the future directions of my lab at Illinois College including addressing the remaining aims of my Community Sequencing Proposal with the Joint Genome Institute by analyzing the 15 fungal reference genomes I generated during my PhD. Together these chapters are the start of a life-long research project into the evolution and function of the orchid/fungal symbiosis.

scholarly journals High-Throughput Sequencing is a Crucial Tool to Investigate the Contribution of Human Endogenous Retroviruses (HERVs) to Human Biology and Development

Viruses ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 633 ◽  
Author(s):  
Maria Paola Pisano ◽  
Nicole Grandi ◽  
Enzo Tramontano
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Developmental Stages ◽  
Large Fraction ◽  
Expression Patterns ◽  
Cell Types ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retroviruses ◽  
Retroviral Infections ◽  
The Impact

Human Endogenous retroviruses (HERVs) are remnants of ancient retroviral infections that represent a large fraction of our genome. Their transcriptional activity is finely regulated in early developmental stages and their expression is modulated in different cell types and tissues. Such activity has an impact on human physiology and pathology that is only partially understood up to date. Novel high-throughput sequencing tools have recently allowed for a great advancement in elucidating the various HERV expression patterns in different tissues as well as the mechanisms controlling their transcription, and overall, have helped in gaining better insights in an all-inclusive understanding of the impact of HERVs in biology of the host.

scholarly journals Human Endogenous Retrovirus Family HERV-K(HML-5): Status, Evolution, and Reconstruction of an Ancient Betaretrovirus in the Human Genome

2004 ◽  
Vol 78 (16) ◽  
pp. 8788-8798 ◽  
Author(s):  
Laurence Lavie ◽  
Patrik Medstrand ◽  
Werner Schempp ◽  
Eckart Meese ◽  
Jens Mayer
Keyword(s):  
Human Genome ◽  
Germ Line ◽  
Consensus Sequence ◽  
Endogenous Retrovirus ◽  
Endogenous Retroviruses ◽  
Open Reading Frames ◽  
Primer Binding Site ◽  
Human Endogenous Retrovirus ◽  
New World Primates ◽  
Human Endogenous Retroviruses

ABSTRACT The human genome harbors numerous distinct families of so-called human endogenous retroviruses (HERV) which are remnants of exogenous retroviruses that entered the germ line millions of years ago. We describe here the hitherto little-characterized betaretrovirus HERV-K(HML-5) family (named HERVK22 in Repbase) in greater detail. Out of 139 proviruses, only a few loci represent full-length proviruses, and many lack gag protease and/or env gene regions. We generated a consensus sequence from multiple alignment of 62 HML-5 loci that displays open reading frames for the four major retroviral proteins. Four HML-5 long terminal repeat (LTR) subfamilies were identified that are associated with monophyletic proviral bodies, implying different evolution of HML-5 LTRs and genes. Sequence analysis indicated that the proviruses formed approximately 55 million years ago. Accordingly, HML-5 proviral sequences were detected in Old World and New World primates but not in prosimians. No recent activity is associated with this HERV family. We also conclude that the HML-5 consensus sequence primer binding site is identical to methionine tRNA. Therefore, the family should be designated HERV-M. Our study provides important insights into the structure and evolution of the oldest betaretrovirus in the primate genome known to date.

scholarly journals Human Endogenous Retrovirus HERV-K14 Families: Status, Variants, Evolution, and Mobilization of Other Cellular Sequences

2005 ◽  
Vol 79 (5) ◽  
pp. 2941-2949 ◽  
Author(s):  
Aline Flockerzi ◽  
Stefan Burkhardt ◽  
Werner Schempp ◽  
Eckart Meese ◽  
Jens Mayer
Keyword(s):  
Human Genome ◽  
Germ Line ◽  
Endogenous Retrovirus ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retrovirus ◽  
Long Terminal Repeats ◽  
Essential Information ◽  
Human Endogenous Retroviruses ◽  
Consensus Sequences

ABSTRACT The human genome harbors many distinct families of human endogenous retroviruses (HERVs) that stem from exogenous retroviruses that infected the germ line millions of years ago. Many HERV families remain to be investigated. We report in the present study the detailed characterization of the HERV-K14I and HERV-K14CI families as they are represented in the human genome. Most of the 68 HERV-K14I and 23 HERV-K14CI proviruses are severely mutated, frequently displaying uniform deletions of retroviral genes and long terminal repeats (LTRs). Both HERV families entered the germ line ∼39 million years ago, as evidenced by homologous sequences in hominoids and Old World primates and calculation of evolutionary ages based on a molecular clock. Proviruses of both families were formed during a brief period. A majority of HERV-K14CI proviruses on the Y chromosome mimic a higher evolutionary age, showing that LTR-LTR divergence data can indicate false ages. Fully translatable consensus sequences encoding major retroviral proteins were generated. Most HERV-K14I loci lack an env gene and are structurally reminiscent of LTR retrotransposons. A minority of HERV-K14I variants display an env gene. HERV-K14I proviruses are associated with three distinct LTR families, while HERV-K14CI is associated with a single LTR family. Hybrid proviruses consisting of HERV-K14I and HERV-W sequences that appear to have produced provirus progeny in the genome were detected. Several HERV-K14I proviruses harbor TRPC6 mRNA portions, exemplifying mobilization of cellular transcripts by HERVs. Our analysis contributes essential information on two more HERV families and on the biology of HERV sequences in general.

scholarly journals CRAFT: Compact genome Representation towards large-scale Alignment-Free daTabase

2020 ◽  
Author(s):  
Yang Young Lu ◽  
Jiaxing Bai ◽  
Yiwen Wang ◽  
Ying Wang ◽  
Fengzhu Sun
Keyword(s):  
Dna Sequences ◽  
Sequence Comparison ◽  
Large Scale ◽  
High Throughput Sequencing ◽  
Sequence Data ◽  
Practical Interest ◽  
Supplementary Information ◽  
Computationally Efficient ◽  
Sequencing Technologies ◽  
Alignment Free

AbstractMotivationRapid developments in sequencing technologies have boosted generating high volumes of sequence data. To archive and analyze those data, one primary step is sequence comparison. Alignment-free sequence comparison based on k-mer frequencies offers a computationally efficient solution, yet in practice, the k-mer frequency vectors for large k of practical interest lead to excessive memory and storage consumption.ResultsWe report CRAFT, a general genomic/metagenomic search engine to learn compact representations of sequences and perform fast comparison between DNA sequences. Specifically, given genome or high throughput sequencing (HTS) data as input, CRAFT maps the data into a much smaller embedding space and locates the best matching genome in the archived massive sequence repositories. With 102 – 104-fold reduction of storage space, CRAFT performs fast query for gigabytes of data within seconds or minutes, achieving comparable performance as six state-of-the-art alignment-free measures.AvailabilityCRAFT offers a user-friendly graphical user interface with one-click installation on Windows and Linux operating systems, freely available at https://github.com/jiaxingbai/[email protected]; [email protected] informationSupplementary data are available at Bioinformatics online.

scholarly journals The Dark Matter of Human Microbiota: Virobiota and Virome

2021 ◽  
Author(s):  
Gülendam Bozdayı ◽  
Işıl Fidan
Keyword(s):  
High Throughput Sequencing ◽  
Inflammatory Diseases ◽  
Human Microbiome ◽  
Endogenous Retroviruses ◽  
Therapeutic Approaches ◽  
Sequencing Technologies ◽  
Health And Disease ◽  
New Generation Sequencing ◽  
New Generation ◽  
Generation Sequencing

The viral component of the human microbiome is referred as ‘virobiota’. The virobiota is the sum of all viruses found in or on humans. The set of all genes of virobiota is referred as ‘virome’. The human virome consists of virus-derived genetic elements found in human genome constituted of viruses that infect eukaryotic cells, bacteriophages, prokaryotic cells, and, endogenous retroviruses. The development of new sequencing technologies, such as high-throughput sequencing techniques allowed the analysis of the human virome. Many new viruses have been discovered lately, using new generation sequencing technology. In recent years, there has been an increase in the studies of the human virome as changes in virome have been observed in diseases. The alterations in the human virome may be associated with infectious, inflammatory diseases, cancer and autoimmunity. The understanding of how the virome affects human health and disease can provide the development of potential therapeutic approaches that target the members of the virome.

Role of Human Endogenous Retroviruses in Lymphoma Pathogenesis and a Possible Biomarker of Disease

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3751-3751 ◽  
Author(s):  
Scott D. Gitlin ◽  
Rafael Contreras- Galindo ◽  
Mark H. Kaplan ◽  
David M. Markovitz
Keyword(s):  
Human Genome ◽  
Cell Lines ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retrovirus ◽  
Hiv Positive ◽  
Human Endogenous Retroviruses ◽  
Viral Expression ◽  
Very High

Abstract Actively replicating retroviruses entered hominid species millions of years ago and through mutations preventing replication now exist as 8% of the human genome. Active retroviral particles and antigens from the supposedly dormant human endogenous retrovirus, HERV-K (HML2), have been identified in several cancer cell lines. We have recently demonstrated very high RNA titers of HERV-K (HML2) in the plasma of HIV positive individuals by nucleic acid sequence-based amplification (NASBA) and RT-PCR. We now demonstrate very high HERV-K (HML2) RNA titers in the plasma of patients with HIV positive and HIV negative non-Hodgkin lymphoma (NHL) and in Hodgkin Disease (HD), but not in normal individuals. Different copies of HERV-K (HML-2) present throughout the human genome exist as Type 1 viruses which encode a new oncoprotein, NP9, or as Type 2 viruses which encode a functional envelope (env) and express the Rec oncoprotein. Both Types 1 and 2 viruses appear in NHLs but only Type 1 appears in the plasma of those with HD. HERV-K (HML2) Env and Gag proteins, Env and Gag RNA, and Reverse Transcriptase (RT) activity are isolated from patients with a variety of NHLs, but not in normal controls or in patients with non-malignant diseases. Viral titers dramatically decrease, up to an approximately 7.5 log drop, when patients with NHL or HD go into remission following treatment. To further establish the presence of functional viruses in NHL and HD, immuno-gold electron microscopy allowed demonstration of HERV-K (HML2) particles in the plasma of lymphoma patients. Preliminary analysis of the effect of antiretroviral agents on cell lines infected with HERV-K (HML2) demonstrate a drug class-specific reduction in viral expression at drug concentration levels that range from 0.125 – 1 mcg/mL. In conclusion, we have demonstrated evidence that human endogenous retroviruses are found in the plasma of patients with NHL and HD, suggesting that these viruses, previously presumed to be inactive, may play a role in lymphoma pathogenesis. The observation that viral expression parallels declines in disease activity with treatment of disease may allow use of HERV-K (HML2) expression as a biomarker of lymphoma activity. The role of the HERV-K (HML2)-encoded oncoproteins in disease pathogenesis is under study, as is the potential role of antiretroviral therapy for these malignancies.

scholarly journals Comparison of Read Mapping and Variant Calling Tools for the Analysis of Plant NGS Data

Plants ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 439 ◽  
Author(s):  
Hanna Marie Schilbert ◽  
Andreas Rempel ◽  
Boas Pucker
Keyword(s):  
High Throughput Sequencing ◽  
Performance Metrics ◽  
Model Organism ◽  
Variant Calling ◽  
Reference Sequence ◽  
Read Mapping ◽  
The Past ◽  
Sequencing Technologies ◽  
Plant Sciences ◽  
Ngs Data

High-throughput sequencing technologies have rapidly developed during the past years and have become an essential tool in plant sciences. However, the analysis of genomic data remains challenging and relies mostly on the performance of automatic pipelines. Frequently applied pipelines involve the alignment of sequence reads against a reference sequence and the identification of sequence variants. Since most benchmarking studies of bioinformatics tools for this purpose have been conducted on human datasets, there is a lack of benchmarking studies in plant sciences. In this study, we evaluated the performance of 50 different variant calling pipelines, including five read mappers and ten variant callers, on six real plant datasets of the model organism Arabidopsis thaliana. Sets of variants were evaluated based on various parameters including sensitivity and specificity. We found that all investigated tools are suitable for analysis of NGS data in plant research. When looking at different performance metrics, BWA-MEM and Novoalign were the best mappers and GATK returned the best results in the variant calling step.

Sign in / Sign up

Export Citation Format

Share Document