Department of the History and Philosophy of Science, University of Cambridge, United Kingdom.
Department of Biochemistry and Molecular Biology, Dalhousie University, Canada.
Stud Hist Philos Sci. 2021 Jun;87:125-135. doi: 10.1016/j.shpsa.2021.03.005. Epub 2021 Apr 11.
Fitness contribution alone should not be the criterion of 'function' in molecular biology and genomics. Disagreement over the use of 'function' in molecular biology and genomics is still with us, almost eight years after publicity surrounding the Encyclopedia of DNA Elements project claimed that 80.4% of the human genome comprises "functional elements". Recent approaches attempt to resolve or reformulate this debate by redefining genomic 'function' in terms of current fitness contribution. In its favour, this redefinition for the genomic context is in apparent conformity with predominant experimental practices, especially in biomedical research, and with ascription of function by selective maintenance. We argue against approaches of this kind, however, on the grounds that they could be seen as non-Darwinian, and fail to properly account for the diversity of non-adaptive processes involved in the origin and maintenance of genomic complexity. We examine cases of molecular and organismal complexity that arise neutrally, showing how purifying selection maintains non-adaptive genomic complexity. Rather than lumping different sorts of genomic complexity together by defining 'function' as fitness contribution, we argue that it is best to separate the heterogeneous contributions of preaptation, exaptation and adaptation to the historical processes of origin and maintenance for complex features.
在分子生物学和基因组学中,“功能”的标准不应仅仅是适应度的贡献。早在 8 年前,围绕 DNA 元件百科全书项目的宣传就声称人类基因组的 80.4%由“功能元件”组成,自此之后,人们对“功能”在分子生物学和基因组学中的使用一直存在分歧。最近的一些方法试图通过根据当前适应度贡献重新定义基因组“功能”来解决或重新构建这一争论。从基因组的角度来看,这种重新定义显然符合当前占主导地位的实验实践,尤其是在生物医学研究中,以及通过选择性维持来赋予功能。然而,我们反对这种方法,因为它可能被视为非达尔文主义的,并且不能正确解释在起源和维持基因组复杂性过程中涉及的各种非适应性过程。我们研究了中性出现的分子和生物复杂性的案例,展示了净化选择是如何维持非适应性基因组复杂性的。我们认为,最好是将预适应、适应和适应的不同贡献分开,而不是通过将“功能”定义为适应度贡献来将不同类型的基因组复杂性混为一谈,从而更好地解释复杂特征的起源和维持的历史过程。