Meta-analysis data of skeletal muscle slow fiber content across mammalian species

Samantha R Queeno; Kirstin N Sterner; Matthew C O'Neill

doi:10.1016/j.dib.2023.109520

Meta-analysis data of skeletal muscle slow fiber content across mammalian species

Data Brief. 2023 Aug 26:50:109520. doi: 10.1016/j.dib.2023.109520. eCollection 2023 Oct.

Authors

Samantha R Queeno¹, Kirstin N Sterner¹, Matthew C O'Neill²

Affiliations

¹ Department of Anthropology, University of Oregon, 1218 University of Oregon, Eugene, OR 97403 USA.
² Department of Anatomy, Midwestern University, Glendale, AZ 85309 USA.

Abstract

Herein, the dataset generated for Queeno et al. [1] is presented and described. Mammalian skeletal muscle slow (MyHC-I) fiber composition data was collated from 269 eligible studies identified via a systematic literature search and meta-analysis, following a structure similar to PRISMA [2]. Academic search systems were queried with terms relating to mammalian skeletal muscle fiber content and reference lists of selected articles were thoroughly investigated for additional studies. Eligible studies were those that provided skeletal muscle fiber composition data from mammalian species that were not subjected to experimental manipulations. Taxonomic information, sex, age, number of individuals sampled, average body mass (kg), average slow fiber content (%) of each skeletal muscle under investigation and fiber-typing methodology were collated from eligible studies when available. Muscle fiber composition data was collected from more than 200 skeletal muscles across 174 mammalian species, which will be of value to those interested in muscle physiology, interspecific muscle comparisons, and connections between muscle physiology, taxonomy, body mass, ecomorphology and locomotor strategy (among others).

Keywords: Fiber typing; Interspecific muscle physiology comparison; Muscle fiber composition; MyHC I; Myosin heavy chain I; Slow-twitch.