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. 2019 Jun 18;9:8694. doi: 10.1038/s41598-019-45090-6

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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A linear regression of the frequency of polyneuronally innervated NMJs on the abundance of type I muscle fibers. (A) The fraction of NMJs that remain polyneuronally innervated at P9 for control muscles – EDL (n = 5), SOL (n = 14), STM (n = 6) – as well as PGC1α MKO SOL (n = 4) and MCK-PGC1α SOL (n = 5) were regressed on the mean type I muscle fiber frequency for each muscle. The analysis revealed a close relationship (r² = 0.8128) with the best-fit line slope (1.452 ± 0.1232; solid black line) that deviates significantly from zero (p < 0.0001). (B) An identical analysis using only the control EDL, SOL and STM muscles similarly revealed a close relationship (r² = 0.856) with the best-fit line slope (1.445 ± 0.1236; solid black line) that deviates significantly from zero (p < 0.0001). The confidence bands (the two curved gray lines) are 95% sure to enclose the true best-fit linear regression line.