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Genomic fossils as a snapshot of the human transcriptome.

ABSTRACT: Processed pseudogenes (PPGs) are cDNA sequences that were generated through reverse transcription of mature, spliced mRNAs and have subsequently been reinserted at a new genomic location. These cDNA sequences are usually no longer transcribed and are considered "dead on arrival." Here we show that PPGs can be used to generate a map of the transcriptome. By analyzing thousands of human PPGs, we were able to discover hundreds of transcript variants so far unidentified. An experimental verification of a subset of these variants by RT-PCR indicates that most of them are still active in the human transcriptome. Furthermore, we demonstrate that PPGs can enable the identification of ancient splice variants that were expressed ancestrally but are now extinct. Our results show that the genome itself carries a "virtual cDNA library" that can readily be used to analyze both present and ancestral transcripts. Our approach can be applied to sequenced metazoan genomes to computationally annotate splicing variation even when expressed sequences are unavailable.

SUBMITTER: Shemesh R

PROVIDER: S-EPMC1360558 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature

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Genomic fossils as a snapshot of the human transcriptome.

Shemesh Ronen R Novik Amit A Edelheit Sarit S Sorek Rotem R

Proceedings of the National Academy of Sciences of the United States of America 20060123 5

Processed pseudogenes (PPGs) are cDNA sequences that were generated through reverse transcription of mature, spliced mRNAs and have subsequently been reinserted at a new genomic location. These cDNA sequences are usually no longer transcribed and are considered "dead on arrival." Here we show that PPGs can be used to generate a map of the transcriptome. By analyzing thousands of human PPGs, we were able to discover hundreds of transcript variants so far unidentified. An experimental verification ...[more]

PMID: 16432206

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Project description:Because most extant viruses mutate rapidly and lack a true fossil record, their deep evolution and long-term substitution rates remain poorly understood. In addition to retroviruses, which rely on chromosomal integration for their replication, many other viruses replicate in the nucleus of their host's cells and are therefore prone to endogenization, a process that involves integration of viral DNA into the host's germline genome followed by long-term vertical inheritance. Such endogenous viruses are highly valuable as they provide a molecular fossil record of past viral invasions, which may be used to decipher the origins and long-term evolutionary characteristics of modern pathogenic viruses. Hepadnaviruses (Hepadnaviridae) are a family of small, partially double-stranded DNA viruses that include hepatitis B viruses. Here we report the discovery of endogenous hepadnaviruses in the genome of the zebra finch. We used a combination of cross-species analysis of orthologous insertions, molecular dating, and phylogenetic analyses to demonstrate that hepadnaviruses infiltrated repeatedly the germline genome of passerine birds. We provide evidence that some of the avian hepadnavirus integration events are at least 19 My old, which reveals a much deeper ancestry of Hepadnaviridae than could be inferred based on the coalescence times of modern hepadnaviruses. Furthermore, the remarkable sequence similarity between endogenous and extant avian hepadnaviruses (up to 75% identity) suggests that long-term substitution rates for these viruses are on the order of 10(-8) substitutions per site per year, which is a 1,000-fold slower than short-term rates estimated based on the sequences of circulating hepadnaviruses. Together, these results imply a drastic shift in our understanding of the time scale of hepadnavirus evolution, and suggest that the rapid evolutionary dynamics characterizing modern avian hepadnaviruses do not reflect their mode of evolution on a deep time scale.

Project description:Objective: To analyze the SARS-CoV-2 genomic epidemiology in the Balearic Islands, a unique setting in which the course of the pandemic has been influenced by a complex interplay between insularity, severe social restrictions and tourism travels. Methods: Since the onset of the pandemic, more than 2,700 SARS-CoV-2 positive respiratory samples have been randomly selected and sequenced in the Balearic Islands. Genetic diversity of circulating variants was assessed by lineage assignment of consensus whole genome sequences with PANGOLIN and investigation of additional spike mutations. Results: Consensus sequences were assigned to 46 different PANGO lineages and 75% of genomes were classified within a VOC, VUI, or VUM variant according to the WHO definitions. Highest genetic diversity was documented in the island of Majorca (42 different lineages detected). Globally, lineages B.1.1.7 and B.1.617.2/AY.X were identified as the 2 major lineages circulating in the Balearic Islands during the pandemic, distantly followed by lineages B.1.177/B.1.177.X. However, in Ibiza/Formentera lineage distribution was slightly different and lineage B.1.221 was the third most prevalent. Temporal distribution analysis showed that B.1 and B.1.5 lineages dominated the first epidemic wave, lineage B.1.177 dominated the second and third, and lineage B.1.617.2 the fourth. Of note, lineage B.1.1.7 became the most prevalent circulating lineage during first half of 2021; however, it was not associated with an increased in COVID-19 cases likely due to severe social restrictions and limited travels. Additional spike mutations were rarely documented with the exception of mutation S:Q613H which has been detected in several genomes (n = 25) since July 2021. Conclusion: Virus evolution, mainly driven by the acquisition and selection of spike substitutions conferring biological advantages, social restrictions, and size population are apparently key factors for explaining the epidemic patterns registered in the Balearic Islands.

Dataset Information

Genomic fossils as a snapshot of the human transcriptome.

Publications

Genomic fossils as a snapshot of the human transcriptome.

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