Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
Department of Medical Biochemistry and Microbiology, Uppsala University, 75123 Uppsala, Sweden.
Philos Trans A Math Phys Eng Sci. 2017 Dec 28;375(2109). doi: 10.1098/rsta.2016.0352.
Two datasets, the geologic record and the genetic content of extant organisms, provide complementary insights into the history of how key molecular components have shaped or driven global environmental and macroevolutionary trends. Changes in global physico-chemical modes over time are thought to be a consistent feature of this relationship between Earth and life, as life is thought to have been optimizing protein functions for the entirety of its approximately 3.8 billion years of history on the Earth. Organismal survival depends on how well critical genetic and metabolic components can adapt to their environments, reflecting an ability to optimize efficiently to changing conditions. The geologic record provides an array of biologically independent indicators of macroscale atmospheric and oceanic composition, but provides little in the way of the exact behaviour of the molecular components that influenced the compositions of these reservoirs. By reconstructing sequences of proteins that might have been present in ancient organisms, we can downselect to a subset of possible sequences that may have been optimized to these ancient environmental conditions. How can one use modern life to reconstruct ancestral behaviours? Configurations of ancient sequences can be inferred from the diversity of extant sequences, and then resurrected in the laboratory to ascertain their biochemical attributes. One way to augment sequence-based, single-gene methods to obtain a richer and more reliable picture of the deep past, is to resurrect inferred ancestral protein sequences in living organisms, where their phenotypes can be exposed in a complex molecular-systems context, and then to link consequences of those phenotypes to biosignatures that were preserved in the independent historical repository of the geological record. As a first step beyond single-molecule reconstruction to the study of functional molecular systems, we present here the ancestral sequence reconstruction of the beta-carbonic anhydrase protein. We assess how carbonic anhydrase proteins meet our selection criteria for reconstructing ancient biosignatures in the laboratory, which we term palaeophenotype reconstruction.This article is part of the themed issue 'Reconceptualizing the origins of life'.
两个数据集,地质记录和现存生物的遗传内容,为关键分子成分如何塑造或驱动全球环境和宏观进化趋势的历史提供了互补的见解。随着时间的推移,全球物理化学模式的变化被认为是地球与生命之间这种关系的一个一致特征,因为生命被认为一直在优化其在地球上大约 38 亿年的历史中的蛋白质功能。生物体的生存取决于关键遗传和代谢成分适应其环境的能力,这反映了有效适应变化条件的能力。地质记录提供了一系列生物独立的大气和海洋成分宏观尺度的指标,但在影响这些储层成分的分子成分的确切行为方面几乎没有提供任何信息。通过重建可能存在于古代生物中的蛋白质序列,我们可以选择一小部分可能针对这些古代环境条件进行了优化的可能序列。如何利用现代生命来重建祖先的行为?可以从现存序列的多样性中推断出古代序列的结构,然后在实验室中复活它们,以确定它们的生化属性。一种增强基于序列的单个基因方法以获得更丰富和更可靠的远古图景的方法是在活生物体中复活推断出的祖先蛋白质序列,在那里可以在复杂的分子系统背景下暴露它们的表型,然后将这些表型的后果与保存在地质记录独立历史存储库中的生物特征联系起来。作为从单个分子重建到功能性分子系统研究的第一步,我们在这里提出了β碳酸酐酶蛋白的祖先序列重建。我们评估碳酸酐酶蛋白如何满足我们在实验室中重建古代生物特征的选择标准,我们称之为古表型重建。本文是重新概念化生命起源主题问题的一部分。