Ssl2/TFIIH function in transcription start site scanning by RNA Polymerase II in Saccharomyces cerevisiae

  1. Tingting Zhao
  2. Irina O Vvedenskaya
  3. William KM Lai
  4. Shrabani Basu
  5. B Franklin Pugh
  6. Bryce E Nickels
  7. Craig D Kaplan  Is a corresponding author
  1. University of Pittsburgh, United States
  2. Rutgers University, United States
  3. Cornell University, United States

Abstract

In Saccharomyces cerevisiae, RNA Polymerase II (Pol II) selects transcription start sites (TSS) by a unidirectional scanning process. During scanning, a preinitiation complex (PIC) assembled at an upstream core promoter initiates at select positions within a window ~40-120 basepairs downstream. Several lines of evidence indicate that Ssl2, the yeast homolog of XPB and an essential and conserved subunit of the general transcription factor (GTF) TFIIH, drives scanning through its DNA-dependent ATPase activity, therefore potentially controlling both scanning rate and scanning extent (processivity). To address questions of how Ssl2 functions in promoter scanning and interacts with other initiation activities, we leveraged distinct initiation-sensitive reporters to identify novel ssl2 alleles. These ssl2 alleles, many of which alter residues conserved from yeast to human, confer either upstream or downstream TSS shifts at the model promoter ADH1 and genome-wide. Specifically, tested ssl2 alleles alter TSS selection by increasing or narrowing the distribution of TSSs used at individual promoters. Genetic interactions of ssl2 alleles with other initiation factors are consistent with ssl2 allele classes functioning through increasing or decreasing scanning processivity but not necessarily scanning rate. These alleles underpin a residue interaction network that likely modulates Ssl2 activity and TFIIH function in promoter scanning. We propose that the outcome of promoter scanning is determined by two functional networks, the first being Pol II activity and factors that modulate it to determine initiation efficiency within a scanning window, and the second being Ssl2/TFIIH and factors that modulate scanning processivity to determine the width of the scanning widow.

Data availability

Genomics datasets generated in the current study are available in the NCBI BioProject and SRA, under the accession numbers of PRJNA681384 and SRP295731, respectively. The processed genomic data files are available in GEO, under the accession number of GSE182792. The streamlined commands to generate TSS-seq bedGraph files, count tables, tables of expression, spread and median TSS can be found at https://github.com/Kaplan-Lab-Pitt/Ssl2_scanning.

The following data sets were generated

Article and author information

Author details

  1. Tingting Zhao

    University of Pittsburgh, Pittsburgh, United States
    Competing interests
    No competing interests declared.
  2. Irina O Vvedenskaya

    Waksman Institute, Rutgers University, Piscataway, United States
    Competing interests
    No competing interests declared.
  3. William KM Lai

    Cornell University, Ithaca, United States
    Competing interests
    No competing interests declared.
  4. Shrabani Basu

    University of Pittsburgh, Pittsburgh, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5096-5490
  5. B Franklin Pugh

    Cornell University, Ithaca, United States
    Competing interests
    B Franklin Pugh, BFP has a financial interest in Peconic, LLC, which utilizes the ChIP-exo technology implemented in this study and could potentially benefit from the outcomes of this research..
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8341-4476
  6. Bryce E Nickels

    Department of Genetics, Rutgers University, Piscataway, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7449-8831
  7. Craig D Kaplan

    University of Pittsburgh, Pittsburgh, United States
    For correspondence
    craig.kaplan@pitt.edu
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7518-695X

Funding

National Institute of General Medical Sciences (R01GM120450)

  • Craig D Kaplan

National Institute of General Medical Sciences (R01GM059055)

  • B Franklin Pugh

National Institute of General Medical Sciences (R01GM059055)

  • Bryce E Nickels

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2021, Zhao et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,699
    views
  • 192
    downloads
  • 8
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Tingting Zhao
  2. Irina O Vvedenskaya
  3. William KM Lai
  4. Shrabani Basu
  5. B Franklin Pugh
  6. Bryce E Nickels
  7. Craig D Kaplan
(2021)
Ssl2/TFIIH function in transcription start site scanning by RNA Polymerase II in Saccharomyces cerevisiae
eLife 10:e71013.
https://doi.org/10.7554/eLife.71013

Share this article

https://doi.org/10.7554/eLife.71013

Further reading

    1. Genetics and Genomics
    Silvia Diz-de Almeida, Raquel Cruz ... Ángel Carracedo
    Research Article

    The genetic basis of severe COVID-19 has been thoroughly studied, and many genetic risk factors shared between populations have been identified. However, reduced sample sizes from non-European groups have limited the discovery of population-specific common risk loci. In this second study nested in the SCOURGE consortium, we conducted a genome-wide association study (GWAS) for COVID-19 hospitalization in admixed Americans, comprising a total of 4702 hospitalized cases recruited by SCOURGE and seven other participating studies in the COVID-19 Host Genetic Initiative. We identified four genome-wide significant associations, two of which constitute novel loci and were first discovered in Latin American populations (BAZ2B and DDIAS). A trans-ethnic meta-analysis revealed another novel cross-population risk locus in CREBBP. Finally, we assessed the performance of a cross-ancestry polygenic risk score in the SCOURGE admixed American cohort. This study constitutes the largest GWAS for COVID-19 hospitalization in admixed Latin Americans conducted to date. This allowed to reveal novel risk loci and emphasize the need of considering the diversity of populations in genomic research.

    1. Genetics and Genomics
    Jake D Lehle, Yu-Huey Lin ... John R McCarrey
    Research Article

    Endocrine disrupting chemicals (EDCs) such as bisphenol S (BPS) are xenobiotic compounds that can disrupt endocrine signaling due to steric similarities to endogenous hormones. EDCs have been shown to induce disruptions in normal epigenetic programming (epimutations) and differentially expressed genes (DEGs) that predispose disease states. Most interestingly, the prevalence of epimutations following exposure to many EDCs persists over multiple generations. Many studies have described direct and prolonged effects of EDC exposure in animal models, but many questions remain about molecular mechanisms by which EDC-induced epimutations are introduced or subsequently propagated, whether there are cell type-specific susceptibilities to the same EDC, and whether this correlates with differential expression of relevant hormone receptors. We exposed cultured pluripotent (iPS), somatic (Sertoli and granulosa), and primordial germ cell-like (PGCLC) cells to BPS and found that differential incidences of BPS-induced epimutations and DEGs correlated with differential expression of relevant hormone receptors inducing epimutations near relevant hormone response elements in somatic and pluripotent, but not germ cell types. Most interestingly, we found that when iPS cells were exposed to BPS and then induced to differentiate into PGCLCs, the prevalence of epimutations and DEGs was largely retained, however, >90% of the specific epimutations and DEGs were replaced by novel epimutations and DEGs. These results suggest a unique mechanism by which an EDC-induced epimutated state may be propagated transgenerationally.