bioRxiv Science⌕ Search

Biology subjects

Mizobata, H.

Publications and source records attributed to Mizobata, H..

4 recordsLinked to original sources

The Greenland shark genome: insights into deep-sea ecology and lifespan extremes

The Greenland shark (Somniosus microcephalus) is known for its slow metabolism and deep-sea habitat. It is considered the longest-lived vertebrate on Earth, with an estimated lifespan of 392{+/-}120 years. Despite its remarkable longevity and lifestyle, there have been no genomic studies on this species. Here, we report the first, chromosome-level assembly of the Greenland shark genome, which is 5.9 Gb in size with an N50 length of 233 Mb, and contains 37,125 predicted genes with a completeness score of 86.5%. We found that the copy numbers of three gene families (TNF, TLR, LRRFIP), which are involved in activating the NF-{kappa}B signaling pathway, are significantly increased in the Greenland shark compared to short-lived shark species. In the rhodopsin of this deep-sea dweller, we detected amino acid substitutions that result in spectral tuning for the so-called blue shift, suggesting adaptive evolution to dim-light vision. We also elucidate the dynamics of the effective population size (Ne) of the Greenland shark and its close relative, the Pacific sleeper shark (Somniosus pacificus). These genomic analyses offer new insights into the molecular basis of the exceptional longevity of the Greenland shark and highlight potential genetic mechanisms that could inform future research into longevity.

genomics↗

The highly developed symbiotic system between the solar-powered nudibranch Pteraeolidia semperi and Symbiodiniacean algae

The intricate coexistence of Symbiodiniacean algae with a diverse range of marine invertebrates underpins the flourishing biodiversity observed within coral reef ecosystems. However, the phenomenon of coral bleaching--precipitated by the dissolution of symbiotic relationships with Symbiodiniaceae--poses a significant threat to these ecosystems, thereby necessitating an urgent investigation into the underlying symbiotic mechanisms. The symbiosis between nudibranchs and Symbiodiniaceae has been identified as an efficacious model for examining these mechanisms, yet a comprehensive understanding of their histological structures and cellular processes remains elusive. In this study, we concentrate on the nudibranch host Pteraeolidia semperi, renowned for its exceptional symbiotic capabilities, and we elucidate its sophisticated symbiotic architecture. Furthermore, we delineate the bleaching process within the nudibranch, uncovering the associated cellular processes. Collectively, these findings furnish invaluable insights into the intricate relationship between nudibranchs and Symbiodiniaceae, thereby contributing to our understanding of the symbiosis that sustains these critical marine ecosystems.

cell biology↗

The complete mitochondrial genome of Spurilla braziliana MacFarland 1909 (Nudibranchia, Aeolidiidae).

Spurilla braziliana MacFarland 1909 is a morphologically diverse nudibranch found in the Pacific and Western Atlantic. The complete mitochondrial genome of S. braziliana has been constructed using next-generation sequencing technology. The mitochondrial genome is 14,291 bp and contains 13 protein-coding genes, 2 rRNA genes, and 23 tRNA genes. Molecular phylogenetic analysis using the maximum likelihood method revealed that S. braziliana is included in the superfamily Aeolidioidea and forms a monophyletic group with Berghia stephanieae, a nudibranch of the family Aeolidiidae. This study reinforces existing taxonomic insights and provides a basis for further molecular phylogenetic analysis.

genomics↗

MitoSearch: Construction of fish species composition database with environmental DNA using public databases

Existing fish species distribution databases have the following problems: the possibility of species identification errors due to plasticity of morphological characteristics, the impossibility of quantitative composition, and the difficulty of geographically and time-series integrated interpretation. To solve the above problems, we constructed MitoSearch database. It is a fish species distribution database using 2,160 samples of variable regions of 12S rRNA genes amplified by MiFish primers registered at NCBI/EBI/DDBJ, and visualizes the fish species composition data on a map. By integrating a large amount of data registered in public databases, MitoSearch was aimed to provide the comprehensive understanding of spatial and temporal distribution of organisms on a global scale.

ecology↗