Temperature adaptation in structure and function in lactate dehydrogenase-A reflects convergent evolution in a few key protein regions

X Xiao-Lu Zhu (The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China) M Ming-Ling Liao (The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China) L Lin-Xuan Ma (The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China) G George N. Somero (Department of Biology, Hopkins Marine Station, Stanford University) Y Yun-Wei Dong (The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China)

Abstract

Adaptive differences in the thermal stabilities of enzyme structure and function play critical roles in establishing the thermal optima and limits of all organisms. Thus, understanding the mechanisms underlying these adaptations can yield insights into protein structure–function relationships, protein evolution, and the consequences of temperature shifts on species distributions. Past studies have suggested that only a small number of amino acid substitutions are needed for adaptive change, but whether similar sites in the sequence, which we term thermal adaptation–related sequence sites (TRSS), and similar changes in amino acid content at these TRSS occur across widely different taxa remains to be elucidated. For detecting TRSS among orthologs of species adapted to a wide range of temperatures, we investigated 277 lactate dehydrogenase-A (LDH-A) orthologs in marine fish from diverse habitats. We validated the importance of several TRSS variants using site-directed mutagenesis on zebrafish LDH-A, effectively recreating the variants in the zebrafish ortholog. Our results indicate that enzyme thermal adaptation arises primarily from a few substitutions that influence hydrophobicity in functionally important regions of secondary structures. These findings reveal striking convergence in the sites (the TRSS) of temperature-adaptive evolution of LDH-As and provide insights into the types of amino acid substitutions that foster adaptation to temperature. Furthermore, the patterns of convergent evolution identified in this study supported development of a deep learning model for predicting thermal limits. This model can provide an important tool for predicting thermal ranges of species and the potential effects of temperature change on distribution patterns.

Article Details

Volume / Issue Vol. 122, Issue 42
Published October 21, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (5)

X

Xiao-Lu Zhu

The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China

M

Ming-Ling Liao

The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China

L

Lin-Xuan Ma

The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China

G

George N. Somero

Department of Biology, Hopkins Marine Station, Stanford University

Y

Yun-Wei Dong

The Key Laboratory of Mariculture, Ministry of Education, Fisheries College, Ocean University of China