Noble Denis
Department of Physiology, Anatomy and Genetics, University of Oxford, Parks Road, Oxford OX1 3PT, UK.
Philos Trans A Math Phys Eng Sci. 2008 Sep 13;366(1878):3001-15. doi: 10.1098/rsta.2008.0086.
Relating genotypes to phenotypes is problematic not only owing to the extreme complexity of the interactions between genes, proteins and high-level physiological functions but also because the paradigms for genetic causality in biological systems are seriously confused. This paper examines some of the misconceptions, starting with the changing definitions of a gene, from the cause of phenotype characters to the stretches of DNA. I then assess whether the 'digital' nature of DNA sequences guarantees primacy in causation compared to non-DNA inheritance, whether it is meaningful or useful to refer to genetic programs, and the role of high-level (downward) causation. The metaphors that served us well during the molecular biological phase of recent decades have limited or even misleading impacts in the multilevel world of systems biology. New paradigms are needed if we are to succeed in unravelling multifactorial genetic causation at higher levels of physiological function and so to explain the phenomena that genetics was originally about. Because it can solve the 'genetic differential effect problem', modelling of biological function has an essential role to play in unravelling genetic causation.
将基因型与表型联系起来存在问题,这不仅是因为基因、蛋白质和高级生理功能之间的相互作用极其复杂,还因为生物系统中遗传因果关系的范式严重混乱。本文探讨了一些误解,首先从基因定义的变化说起,从表型特征的成因到DNA片段。然后我评估了与非DNA遗传相比,DNA序列的“数字”性质是否保证了因果关系中的首要地位,提及遗传程序是否有意义或有用,以及高级(向下)因果关系的作用。近几十年来在分子生物学阶段对我们很有用的隐喻,在系统生物学的多层次世界中具有有限甚至误导性的影响。如果我们要成功地在更高层次的生理功能上揭示多因素遗传因果关系,并因此解释遗传学最初所关注的现象,就需要新的范式。因为它可以解决“遗传差异效应问题”,生物功能建模在揭示遗传因果关系中具有至关重要的作用。