Search bioRxiv⌕ Search

Biology subjects

Ara, S.

Publications and source records attributed to Ara, S..

3 recordsLinked to original sources

Genomic signatures of terrestrial adaptation in air-breathing catfishes (Clariidae)

Air-breathing catfishes of the family Clariidae exhibit extraordinary adaptations that enable them to survive outside water for extended periods, yet the genetic and genomic basis of these adaptations remain poorly understood. To study these adaptations, we sequenced and assembled two high-quality genomes of two clariid species, Clarias gariepinus and Clarias dussumieri and compare them with previously available genomes of 23 catfish species across nine families. By reconstructing the whole-genome phylogeny and examining patterns of positive selection and gene family evolution, we found unique signatures associated with terrestrial adaptation in clariids. Our analysis revealed that a high proportion of genes were positively selected in clariids, that play critical roles in hypoxia tolerance, thermoregulation, metabolism, and DNA repair, which are key traits for terrestrial adaptation. Additionally, we observed significant expansions in gene families, including Myoglobin (involved in oxygen transport), immunity-related genes, and xenobiotic degradation pathways, highlighting their importance in environmental resilience and detoxification. Together, these findings provide a comprehensive understanding of the genomic changes facilitating the terrestrial adaptation of clariids. This study also highlights the contribution of genome evolution to their resilience, adaptability to novel environments, and invasiveness, offering valuable insights into the genetic basis of ecological niche diversification.

evolutionary biology↗

Comprehensive benchmarking of tools for nanopore-based detection of DNA methylation

Long read sequencing technologies such as Oxford Nanopore (ONT) offer direct, simultaneous detection of DNA base modifications. The recent migration of ONT to the upgraded R10 chemistry has spurred the development of diverse methylation detection models. However, their performance and accuracy remain unclear. Here, leveraging diverse bacterial, plant, and mammalian datasets, we systematically evaluate the current landscape of tools and models for studying DNA methylation using nanopore sequencing. Our results demonstrate that the older models remain the best choice for studying CpG methylation. We note substantial improvement of newer tools in identifying 5-methylcytosine in non-CG contexts, 6-methyladenine, and 4-methylcytosine. We highlight the sensitivity of various tools to confounding methylation nearby. We also assess the computational performance of various tools, and effects of sequencing depth, methylation abundance, read quality, and basecalling mode. Our reusable pipelines and fully open access datasets provide a framework of resources to empower future benchmarking efforts. Our work thus details the strengths and limitations of the state-of-the-art methylation models and outlines practical guidelines for researchers using nanopore sequencing to study DNA modifications.

genomics↗

NEMO: Improved and accurate models for identification of 6mA using Nanopore sequencing

DNA methylation plays a key role in epigenetic regulation across lifeforms. Nanopore sequencing enables direct detection of base modifications. While multiple tools are currently available for studying 5-methylcytosine (5mC), there is a paucity of models that can detect 6-methyladenine (6mA) from raw nanopore data. Leveraging the motif-driven nature of bacterial methylation systems, we generated 6mA identification models that vastly surpass the accuracy of the current best model. Our work enables the study of 6mA at a single-base resolution in new as well as existing nanopore datasets.

genomics↗