Fate plasticity and reprogramming in genetically distinct populations of Danio leucophores

Understanding genetic and cellular bases of adult form remains a fundamental goal at the intersection of developmental and evolutionary biology. The skin pigment cells of vertebrates, derived from embryonic neural crest, are a useful system for elucidating mechanisms of fate specification, pattern f...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2019-06, Vol.116 (24), p.11806-11811
Hauptverfasser: Lewis, Victor M., Saunders, Lauren M., Larson, Tracy A., Bain, Emily J., Sturiale, Samantha L., Gur, Dvir, Chowdhury, Sarwat, Flynn, Jessica D., Allen, Michael C., Deheyn, Dimitri D., Lee, Jennifer C., Simon, Julian A., Lippincott-Schwartz, Jennifer, Raible, David W., Parichy, David M.
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Sprache:eng
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Zusammenfassung:Understanding genetic and cellular bases of adult form remains a fundamental goal at the intersection of developmental and evolutionary biology. The skin pigment cells of vertebrates, derived from embryonic neural crest, are a useful system for elucidating mechanisms of fate specification, pattern formation, and how particular phenotypes impact organismal behavior and ecology. In a survey of Danio fishes, including the zebrafish Danio rerio, we identified two populations of white pigment cells—leucophores—one of which arises by transdifferentiation of adult melanophores and another of which develops from a yellow–orange xanthophore or xanthophorelike progenitor. Single-cell transcriptomic, mutational, chemical, and ultrastructural analyses of zebrafish leucophores revealed cell-type–specific chemical compositions, organelle configurations, and genetic requirements. At the organismal level, we identified distinct physiological responses of leucophores during environmental background matching, andwe showed that leucophore complement influences behavior. Together, our studies reveal independently arisen pigment cell types and mechanisms of fate acquisition in zebrafish and illustrate how concerted analyses across hierarchical levels can provide insights into phenotypes and their evolution.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1901021116