期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 24, 期 5, 页码 1113-1121出版社
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msm044
关键词
evolutionary rates; noise; pca; PCR; expression levels; dN; dS
Although protein sequences are known to evolve at vastly different rates, little is known about what determines their rate of evolution. However, a recent study using principal component regression (PCR) has concluded that evolutionary rates in yeast are primarily governed by a single determinant related to translation frequency. Here, we demonstrate that noise in biological data can confound PCRs, leading to spurious conclusions. When equalizing noise levels across 7 predictor variables used in previous studies, we find no evidence that protein evolution is dominated by a single determinant. Our results indicate that a variety of factors-including expression level, gene dispensability, and protein-protein interactions-may independently affect evolutionary rates in yeast. More accurate measurements or more sophisticated statistical techniques will be required to determine which one, if any, of these factors dominates protein evolution.
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