Evolution of nitric oxide regulation of gut function. Yaguchi, J. & Yaguchi, S. Proceedings of the National Academy of Sciences, 116(12):5607–5612, March, 2019.
Paper doi abstract bibtex Although morphologies are diverse, the common pattern in bilaterians is for passage of food in the gut to be controlled by nerves and endodermally derived neuron-like cells. In vertebrates, nitric oxide (NO) derived from enteric nerves controls relaxation of the pyloric sphincter. Here, we show that in the larvae of sea urchins, there are endoderm-derived neuronal nitric oxide synthase (nNOS)-positive cells expressing pan-neural marker, Synaptotagmin-B (SynB), in sphincters and that NO regulates the relaxation of the pyloric sphincter. Our results indicate that NO-dependent pylorus regulation is a shared feature within the deuterostomes, and we speculate that it was a characteristic of stem deuterostomes.
@article{yaguchi_evolution_2019,
title = {Evolution of nitric oxide regulation of gut function},
volume = {116},
issn = {0027-8424, 1091-6490},
url = {http://www.pnas.org/lookup/doi/10.1073/pnas.1816973116},
doi = {10.1073/pnas.1816973116},
abstract = {Although morphologies are diverse, the common pattern in bilaterians is for passage of food in the gut to be controlled by nerves and endodermally derived neuron-like cells. In vertebrates, nitric oxide (NO) derived from enteric nerves controls relaxation of the pyloric sphincter. Here, we show that in the larvae of sea urchins, there are endoderm-derived neuronal nitric oxide synthase (nNOS)-positive cells expressing pan-neural marker, Synaptotagmin-B (SynB), in sphincters and that NO regulates the relaxation of the pyloric sphincter. Our results indicate that NO-dependent pylorus regulation is a shared feature within the deuterostomes, and we speculate that it was a characteristic of stem deuterostomes.},
language = {en},
number = {12},
urldate = {2021-07-27},
journal = {Proceedings of the National Academy of Sciences},
author = {Yaguchi, Junko and Yaguchi, Shunsuke},
month = mar,
year = {2019},
pages = {5607--5612},
}
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