Relationship between gene expression networks and muscle contractile physiology differences in Anolis lizards

• Published in: Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology Vol. 192; no. 3-4; pp. 489 - 499
• Main Authors: Smith, Luke B., Anderson, Christopher V., Withangage, Miyuraj H. Hikkaduwa, Koch, Andrew, Roberts, Thomas J., Liebl, Andrea L.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-07-2022; Springer Nature B.V
• Subjects: Aerobic respiration; Animal behavior; Animal Physiology; Anolis; Biochemistry; Biomedical and Life Sciences; Biomedicine; Clustering; Extracellular matrix; Gene expression; Gene sequencing; Genes; Human Physiology; Jaw; Life Sciences; Lizards; Molecular modelling; Muscle contraction; Muscles; Muscular function; Original Paper; Physiology; Transcriptomics; Variation; Zoology; RNA-seq; Gene expression; Functional transcriptomics
• ISSN: 0174-1578; 1432-136X
• DOI: 10.1007/s00360-022-01441-w

Muscles facilitate most animal behavior, from eating to fleeing. However, to generate the variation in behavior necessary for survival, different muscles must perform differently; for instance, sprinting requires multiple rapid muscle contractions, whereas biting may require fewer contractions but greater force. Here, we use a transcriptomic approach to identify genes associated with variation in muscle contractile physiology among different muscles from the same individual. We measured differential gene expression between a leg and jaw muscle of
Anolis
lizards known to differ in muscle contractile physiology and performance. For each individual, one muscle was used to measure muscle contractile physiology, including contractile velocity (
V
max
and V
40
), specific tension, power ratio, and twitch time, whereas the contralateral muscle was used to extract RNA for transcriptomic sequencing. Using the transcriptomic data, we found clear clustering of muscle type. Expression of genes clustered in gene ontology (GO) terms related to muscle contraction and extracellular matrix was, on average, negatively correlated with
V
max
and slower twitch times but positively correlated to power ratio and V
40
. Conversely, genes related to the GO terms related to aerobic respiration were downregulated in muscles with higher power ratio and V
40
, and over-expressed as twitch time decreased. Determining the molecular mechanisms that underlie variation in muscle contractile physiology can begin to explain how organisms are able to optimize behavior under variable conditions. Future studies pursuing the effects of differential gene expression across muscle types in different environments might inform researchers about how differences develop across species, populations, and individuals varying in ecological history.