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Kandori, H.

Publications and source records attributed to Kandori, H..

3 recordsLinked to original sources

The sunlit microoxic niche of the archaeal eukaryotic ancestor comes to light

Recent advances in phylogenomic analyses and increased genomic sampling of uncultured prokaryotic lineages brought compelling evidence in support of the emergence of eukaryotes from within the Archaea domain of life. The discovery of Asgardaeota archaea and their recognition as the closest extant relative of eukaryotes fuelled the revival of a decades-old debate regarding the topology of the tree of life. While it is apparent that Asgardaeota encode a plethora of eukaryotic-specific proteins (the highest number identified to date in prokaryotes), the lack of genomic information and metabolic characterization has precluded inferences about their lifestyles and the metabolic landscape that may have favoured the emergence of the hallmark eukaryotic subcellular architecture. Here, we use advanced phylogenetic analyses to infer the deep ancestry of eukaryotes and genome-scale metabolic reconstructions to shed light on the metabolic milieu of the closest archaeal eukaryotic ancestors discovered till date. In doing so, we: i) generate the largest Asgardaeota genomic dataset available so far, ii) describe a new clade of rhodopsins encoded within the recovered genomes, iii) provide unprecedented evidence for mixotrophy within Asgardaeota, iv) present first-ever proofs that the closest extant archaeal relatives to all eukaryotes (Heimdallarchaeia) have microoxic lifestyles with aerobic metabolic pathways unique among Archaea (i.e. kynurenine pathway) and v) generate the first images of Asgardaeota.

microbiology

Heliorhodopsins are absent in diderm (Gram-negative) bacteria: Some thoughts and possible implications for activity

Microbial heliorhodopsins are a new type of rhodopsins with an opposite membrane topology compared to type-1 and -2 rhodopsins, currently believed to engage in light sensing. We determined their presence/absence is monoderms and diderms representatives from the Tara Oceans and freshwater 25 lakes metagenomes. Heliorhodopsins were absent in diderms, confirming our previous observations in cultured Proteobacteria. Based on these observations, we speculate on the putative role of heliorhodopsins in light-driven transport of amphiphilic molecules.

microbiology

Toward Machine Learning-based Data-driven Functional Protein Studies: Understanding Colour Tuning Rules and Predicting the Absorption Wavelengths of Microbial Rhodopsins

The light-dependent ion-transport function of microbial rhodopsin has been widely used in optogenetics for optical control of neural activity. In order to increase the variety of rhodopsin proteins having a wide range of absorption wavelengths, the light absorption properties of various wild-type rhodopsins and their artificially mutated variants were investigated in the literature. Here, we demonstrate that a machine-learning-based (ML-based) data-driven approach is useful for understanding and predicting the light-absorption properties of microbial rhodopsin proteins. We constructed a database of 796 proteins consisting of microbial rhodopsin wildtypes and their variants. We then proposed an ML method that produces a statistical model describing the relationship between amino-acid sequences and absorption wavelengths and demonstrated that the fitted statistical model is useful for understanding colour tuning rules and predicting absorption wavelengths. By applying the ML method to the database, two residues that were not considered in previous studies are newly identified to be important to colour shift.

biophysics