Biology subjects

Ziesel, A.

Publications and source records attributed to Ziesel, A..

7 recordsLinked to original sources

bioRxiv2025

Stable, intronic RNAs explain preservation of introns in Cyanidioschyzon merolae

Despite recent work identifying functional roles for introns, we lack a broad understanding of why some introns are preserved while others are removed. Here, we use the thermophilic red alga, Cyanidioschyzon merolae, as a model to investigate why only 39 of the approximately 2000 ancestral introns were preserved in this lineage. We observe that 23 of the 39 introns encode stable RNAs, 11 of which represent a novel class of non-coding RNA (ncRNA), which we call stable intronically-encoded RNAs (sieRNAs). These novel ncRNAs are expressed constitutively under normal growth conditions and are conserved in other extremophilic algae. One sieRNA, Q270, is predicted to stabilize a chloroplast polycistronic transcript encoding 17 ribosomal protein genes through direct antisense base pairing. Strikingly, all sieRNAs are polyadenylated under heat stress with long tails ranging from 50-200 nucleotides long, linking them to a potential heat stress response that may be critical for heat adaptation. Furthermore, DMS-MaP chemical probing revealed that some sieRNAs contain three-way junctions, a common RNA regulatory element, while others undergo accessibility shifts between in vivo and in vitro conditions, indicative of cellular interactions. Our findings suggest that introns in C. merolae are preserved to encode ncRNAs and suggest that introns may serve as hosts for regulatory RNAs across eukaryotes.

molecular biology↗

bioRxiv2024

Markers, Mechanisms and Metrics of Biological Aging: A Scoping Review

Biological aging is a rapidly growing area of research, which entails characterizing the rate of aging independent of an individuals chronological age. In this review, we analyze the results of biological aging research in 435 papers published in a twelve year window, revealing changing patterns of molecular markers of biological aging use over time, and the development of novel metrics of biological aging. We further identify consistent and discordant research findings, as well as areas of potential future research focusing on questions of measurement with methylation or biomarker-based assessment and other variables relevant to the study of biological age.

molecular biology↗

bioRxiv2024

Structural impact of synonymous mutations in six SARS-CoV-2 Variants of Concern

SARS-CoV-2 continues to spread and infect people worldwide. While most effort into characterizing variants of this virus have focused on non-synonymous changes, accumulation of synonymous mutations in different viral variants has also occurred. Here we characterize six Variants of Concern in terms of their mutational content, and make predictions regarding the impact of those mutations on potential genomic RNA secondary structure and stability. We find that synonymous mutations typically have no or modest impact to RNA secondary structure. As synonymous mutations are free from the selective pressure imposed on protein-altering mutations, the impact of synonymous mutations is largely limited to RNA secondary structure considerations. The absence of major, structure-altering synonymous mutations emphasize the importance of RNA structure, including within coding regions, to viral fitness.

bioinformatics↗

bioRxiv2022

Prediction of RNA secondary structures in SARS-CoV-2 and comparison with contemporary predictions

AO_SCPLOWBSTRACTC_SCPLOWSARS-CoV-2, the causative agent of covid-19, is known to exhibit secondary structure in its 5 and 3 untranslated regions, along with the frameshifting stimulatory element situated between ORF1a and 1b. To identify further regions containing conserved structure, multiple sequence alignment with related coronaviruses was used as a starting point from which to apply a modified computational pipeline developed to identify non-coding RNA elements in vertebrate eukaryotes. Three different RNA structural prediction approaches were employed in this modified pipeline. Forty genomic regions deemed likely to harbour structure were identified, ten of which exhibited three-way consensus substructure predictions amongst our predictive utilities. Intracomparison of the pipelines predictive utilities, along with intercomparison with three previously published SARS-CoV-2 structural datasets, were performed. Limited agreement as to precise structure was observed, although different approaches appear to agree upon regions likely to contain structure in the viral genome.

molecular biology↗

bioRxiv2022

Rad51-mediated interhomolog recombination during budding yeast meiosis is promoted by the meiotic recombination checkpoint and the conserved Pif1 helicase

During meiosis, recombination between homologous chromosomes (homologs) generates crossovers that promote proper segregation at the first meiotic division. Recombination is initiated by Spo11-catalyzed double strand breaks (DSBs). 5 end resection of the DSBs creates 3 single strand tails that two recombinases, Rad51 and Dmc1, bind to form presynaptic filaments that search for homology, mediate strand invasion and generate displacement loops (D-loops). D-loop processing then forms crossover and non-crossover recombinants. Meiotic recombination occurs in two temporally distinct phases. During Phase 1, Rad51 is inhibited and Dmc1 mediates the interhomolog recombination that promotes homolog synapsis. In Phase 2, Rad51 becomes active and functions with Rad54 to repair residual DSBs, making increasing use of sister chromatids. The transition from Phase 1 to Phase 2 is controlled by the meiotic recombination checkpoint through the meiosis-specific effector kinase Mek1. This work shows that constitutive activation of Rad51 in Phase 1 results in a subset of DSBs being repaired by a Rad51-mediated interhomolog recombination pathway that is distinct from that of Dmc1. Strand invasion intermediates generated by Rad51 require more time to be processed into recombinants, resulting in a meiotic recombination checkpoint delay in prophase I. Without the checkpoint, Rad51-generated intermediates are more likely to be repaired using a sister chromatid, thereby increasing Meiosis I chromosome nondisjunction. This Rad51 interhomolog recombination pathway is specifically promoted by the conserved 5-3 helicase PIF1 and its paralog, RRM3 and requires Pif1 helicase activity and its interaction with PCNA. This work demonstrates that (1) inhibition of Rad51 during Phase 1 is important to prevent competition with Dmc1 for DSB repair, (2) Rad51-mediated meiotic recombination intermediates are initially processed differently than those made by Dmc1, (3) the meiotic recombination checkpoint provides time during prophase 1 for processing of Rad51-generated recombination intermediates. AUTHOR SUMMARYTo sexually reproduce, cells containing two copies of each chromosome must undergo the specialized cell division of meiosis to sort the chromosomes into gametes containing a single copy of each chromosome. But how do homologous chromosomes know who is who? The answer is by recombination, a process in which double strand breaks on one chromosome are converted to single stranded ends that can search for the complementary sequence on the homolog. In yeast and mammals, this homology search involves binding of single strand ends by two highly conserved recombinases, Rad51 and the meiosis specific Dmc1. Rad51 is used in mitotic cells to repair breaks, primarily using sister chromatids as templates, while Dmc1 functions in meiosis to generate interhomolog crossovers. In budding yeast, Rad51 strand exchange activity is normally inhibited while Dmc1 is active. We show here that when Rad51 and Dmc1 are active at the same time, Rad51 competes with Dmc1 to mediate interhomolog recombination of a subset of double strand breaks. However, because Rad51- generated recombination intermediates take longer to process, there is a need to keep Rad51 inactive while interhomolog recombination is occurring.

genetics↗

bioRxiv2021

Supervised Promoter Recognition: A Benchmark Framework

AO_SCPLOWBSTRACTC_SCPLOWDeep learning has become a prevalent method in identifying genomic regulatory sequences such as promoters. In a number of recent papers, the performance of deep learning models have continually been reported as an improvement over alternatives for sequence-based promoter recognition. However, the performance improvements in these models do not account for the different datasets that models are being evaluated on. The lack of a consensus dataset and procedure for benchmarking purposes has made the comparison of each models true performance difficult to assess. We present a framework called Supervised Promoter Recognition Framework ( SUPR REF) capable of streamlining the complete process of training, validating, testing, and comparing promoter recognition models in a systematic manner. SUPR REF includes the creation of biologically relevant benchmark datasets to be used in the evaluation process of deep learning promoter recognition models. We showcase this framework by comparing the models performance on alternative datasets, and properly evaluate previously published models on new benchmark datasets. Our results show that the reliability of deep learning ab initio promoter recognition models on eukaryotic genomic sequences is still not at a sufficient level, as precision is severely lacking. Furthermore, given the observational nature of these data, cross-validation results from small datasets need to be interpreted with caution. AvailabilitySource code and documentation of the framework is available online at https://github.com/ivanpmartell/suprref

bioinformatics↗

bioRxiv2021

Meiotic cell cycle progression requires adaptation to a constitutive DNA damage signal

Meiotic chromosome segregation relies on synapsis and crossover recombination between homologous chromosomes. These processes require multiple steps that are coordinated by the meiotic cell cycle and monitored by surveillance mechanisms. In diverse species, failures in chromosome synapsis can trigger a cell cycle delay and/or lead to apoptosis. How this key step in "homolog engagement" is sensed and transduced by meiotic cells is unknown. Here we report that in C. elegans, recruitment of the Polo-like kinase PLK-2 to the synaptonemal complex triggers phosphorylation and inactivation of CHK-2, an early meiotic kinase required for pairing, synapsis, and double-strand break induction. Inactivation of CHK-2 ends double-strand break formation and promotes crossover designation and cell cycle progression. These findings illuminate how meiotic cells ensure crossover formation and accurate chromosome segregation. SummaryAccurate chromosome segregation during meiosis requires crossovers between each pair of homologs. Zhang et al. show that meiotic progression in C. elegans involves inactivation of CHK-2 by PLK-2 in response to synapsis and formation of crossover precursors on all chromosomes.

cell biology↗