PolyQ length-based molecular encoding of vocalization frequency in FOXP2
The transcription factor FOXP2, a regulator of vocalization- and speech/language-related phenotypes, contains two long polyQ repeats (Q1 and Q2) displaying marked, still enigmatic length variation across mammals. We found that the Q1/Q2 length ratio quantitatively encodes vocalization frequency rang...
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Veröffentlicht in: | iScience 2023-10, Vol.26 (10), p.108036, Article 108036 |
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Sprache: | eng |
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Zusammenfassung: | The transcription factor FOXP2, a regulator of vocalization- and speech/language-related phenotypes, contains two long polyQ repeats (Q1 and Q2) displaying marked, still enigmatic length variation across mammals. We found that the Q1/Q2 length ratio quantitatively encodes vocalization frequency ranges, from the infrasonic to the ultrasonic, displaying striking convergent evolution patterns. Thus, species emitting ultrasonic vocalizations converge with bats in having a low ratio, whereas species vocalizing in the low-frequency/infrasonic range converge with elephants and whales, which have higher ratios. Similar, taxon-specific patterns were observed for the FOXP2-related protein FOXP1. At the molecular level, we observed that the FOXP2 polyQ tracts form coiled coils, assembling into condensates and fibrils, and drive liquid-liquid phase separation (LLPS). By integrating evolutionary and molecular analyses, we found that polyQ length variation related to vocalization frequency impacts FOXP2 structure, LLPS, and transcriptional activity, thus defining a novel form of polyQ length-based molecular encoding of vocalization frequency.
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•The lengths of two polyQ repeats (Q1 and Q2) in FOXP2 vary broadly across mammals•The Q1/Q2 length ratio correlates quantitatively with vocalization frequency ranges•The FOXP2 polyQ repeats form α-helical coiled coil structures and promote LLPS•Evolutionary polyQ length variation regulates FOXP2 structure, LLPS, and function
Zoology; Molecular biology; Evolutionary biology |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2023.108036 |