Cargando…

Resurrecting ancestral genes in bacteria to interpret ancient biosignatures

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kacar, Betul, Guy, Lionel, Smith, Eric, Baross, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686408/
https://www.ncbi.nlm.nih.gov/pubmed/29133450
http://dx.doi.org/10.1098/rsta.2016.0352
_version_ 1783278778845233152
author Kacar, Betul
Guy, Lionel
Smith, Eric
Baross, John
author_facet Kacar, Betul
Guy, Lionel
Smith, Eric
Baross, John
author_sort Kacar, Betul
collection PubMed
description 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’.
format Online
Article
Text
id pubmed-5686408
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher The Royal Society Publishing
record_format MEDLINE/PubMed
spelling pubmed-56864082017-11-19 Resurrecting ancestral genes in bacteria to interpret ancient biosignatures Kacar, Betul Guy, Lionel Smith, Eric Baross, John Philos Trans A Math Phys Eng Sci Articles 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’. The Royal Society Publishing 2017-12-28 2017-11-13 /pmc/articles/PMC5686408/ /pubmed/29133450 http://dx.doi.org/10.1098/rsta.2016.0352 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Kacar, Betul
Guy, Lionel
Smith, Eric
Baross, John
Resurrecting ancestral genes in bacteria to interpret ancient biosignatures
title Resurrecting ancestral genes in bacteria to interpret ancient biosignatures
title_full Resurrecting ancestral genes in bacteria to interpret ancient biosignatures
title_fullStr Resurrecting ancestral genes in bacteria to interpret ancient biosignatures
title_full_unstemmed Resurrecting ancestral genes in bacteria to interpret ancient biosignatures
title_short Resurrecting ancestral genes in bacteria to interpret ancient biosignatures
title_sort resurrecting ancestral genes in bacteria to interpret ancient biosignatures
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686408/
https://www.ncbi.nlm.nih.gov/pubmed/29133450
http://dx.doi.org/10.1098/rsta.2016.0352
work_keys_str_mv AT kacarbetul resurrectingancestralgenesinbacteriatointerpretancientbiosignatures
AT guylionel resurrectingancestralgenesinbacteriatointerpretancientbiosignatures
AT smitheric resurrectingancestralgenesinbacteriatointerpretancientbiosignatures
AT barossjohn resurrectingancestralgenesinbacteriatointerpretancientbiosignatures