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Biology subjects

Rao, B. D.

Publications and source records attributed to Rao, B. D..

2 recordsLinked to original sources

Horizontal gene transfer-initiated reorganization of lipid metabolism drives lifestyle innovation in a eukaryote

Horizontal gene transfer is a source of metabolic innovation and adaptation to new environments. Yet, how horizontally transferred metabolic functionalities are integrated into host cell biology remains an open question. Here, we use the fission yeast Schizosaccharomyces japonicus to probe how eukaryotic lipid metabolism is rewired in response to the acquisition of a horizontally transferred squalene-hopene cyclase Shc1. We show that Shc1-dependent production of hopanoids, the structural mimics of eukaryotic sterols, allows S. japonicus to thrive in anoxia, where sterol biosynthesis is not possible. We further demonstrate that glycerophospholipid fatty acyl asymmetry, prevalent in S. japonicus, is crucial for accommodating both sterols and hopanoids in membranes, and explain how Shc1 functions alongside the native sterol biosynthetic pathway to support membrane properties. Through engineering experiments in the sister species S. pombe, which naturally lacks Shc1, we show that the acquisition of Shc1 may entail new physiological traits; however, to maximize Shc1 performance, sterol biosynthesis must be dampened. Our work sheds new light on the mechanisms underlying cellular integration of horizontally transferred genes in eukaryotes and provides broader insights into the evolution of membrane organization and function.

cell biology↗

Nuisance Effects and the Limitations of Nuisance Regression in Dynamic Functional Connectivity fMRI

In resting-state fMRI, dynamic functional connectivity (DFC) measures are used to characterize temporal changes in the brains intrinsic functional connectivity. A widely used approach for DFC estimation is the computation of the sliding window correlation between blood oxygenation level dependent (BOLD) signals from different brain regions. Although the source of temporal fluctuations in DFC estimates remains largely unknown, there is growing evidence that they may reflect dynamic shifts between functional brain networks. At the same time, recent findings suggest that DFC estimates might be prone to the influence of nuisance factors such as the physiological modulation of the BOLD signal. Therefore, nuisance regression is used in many DFC studies to regress out the effects of nuisance terms prior to the computation of DFC estimates. In this work we examined the relationship between DFC estimates and nuisance factors. We found that DFC estimates were significantly correlated with temporal fluctuations in the magnitude (norm) of various nuisance regressors, with significant correlations observed in the majority (76%) of the cases examined. Significant correlations between the DFC estimates and nuisance regressor norms were found even when the underlying correlations between the nuisance and fMRI time courses were relatively small. We then show that nuisance regression does not eliminate the relationship between DFC estimates and nuisance norms, with significant correlations observed in the majority (71%) of the cases examined after nuisance regression. We present theoretical bounds on the difference between DFC estimates obtained before and after nuisance regression and relate these bounds to limitations in the efficacy of nuisance regression with regards to DFC estimates.

neuroscience↗