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      Biological causal links on physiological and evolutionary time scales

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      eLife
      eLife Sciences Publications, Ltd
      evolution, physiology, causality, None

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          Abstract

          Correlation does not imply causation. If two variables, say A and B, are correlated, it could be because A causes B, or that B causes A, or because a third factor affects them both. We suggest that in many cases in biology, the causal link might be bi-directional: A causes B through a fast-acting physiological process, while B causes A through a slowly accumulating evolutionary process. Furthermore, many trained biologists tend to consistently focus at first on the fast-acting direction, and overlook the slower process in the opposite direction. We analyse several examples from modern biology that demonstrate this bias (codon usage optimality and gene expression, gene duplication and genetic dispensability, stem cell division and cancer risk, and the microbiome and host metabolism) and also discuss an example from linguistics. These examples demonstrate mutual effects between the fast physiological processes and the slow evolutionary ones. We believe that building awareness of inference biases among biologists who tend to prefer one causal direction over another could improve scientific reasoning.

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          Most cited references17

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          The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

          P. Sharp, W Li (1987)
          A simple, effective measure of synonymous codon usage bias, the Codon Adaptation Index, is detailed. The index uses a reference set of highly expressed genes from a species to assess the relative merits of each codon, and a score for a gene is calculated from the frequency of use of all codons in that gene. The index assesses the extent to which selection has been effective in moulding the pattern of codon usage. In that respect it is useful for predicting the level of expression of a gene, for assessing the adaptation of viral genes to their hosts, and for making comparisons of codon usage in different organisms. The index may also give an approximate indication of the likely success of heterologous gene expression.
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            Cancer etiology. Variation in cancer risk among tissues can be explained by the number of stem cell divisions.

            Some tissue types give rise to human cancers millions of times more often than other tissue types. Although this has been recognized for more than a century, it has never been explained. Here, we show that the lifetime risk of cancers of many different types is strongly correlated (0.81) with the total number of divisions of the normal self-renewing cells maintaining that tissue's homeostasis. These results suggest that only a third of the variation in cancer risk among tissues is attributable to environmental factors or inherited predispositions. The majority is due to "bad luck," that is, random mutations arising during DNA replication in normal, noncancerous stem cells. This is important not only for understanding the disease but also for designing strategies to limit the mortality it causes. Copyright © 2015, American Association for the Advancement of Science.
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              Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes: a proposal for a synonymous codon choice that is optimal for the E. coli translational system.

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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                26 April 2016
                2016
                : 5
                : e14424
                Affiliations
                [1]deptDepartment of Molecular Genetics , Weizmann Institute of Science , Rehovot, Israel
                [2]deptDepartment of Molecular Genetics , Weizmann Institute of Science , Rehovot, Israel
                [3]eLife , United Kingdom
                [4]eLife , United Kingdom
                Author notes
                Author information
                http://orcid.org/0000-0003-0763-6696
                http://orcid.org/0000-0003-3200-9344
                Article
                14424
                10.7554/eLife.14424
                4846369
                27113916
                647277a0-e0bf-4981-9902-9f47e5f28670
                © 2016, Karmon et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 19 January 2016
                : 04 April 2016
                Categories
                Computational and Systems Biology
                Genomics and Evolutionary Biology
                Point of View
                Feature Article
                Custom metadata
                2.5
                Increasing awareness that many causal links in biology might be bi-directional could overcome biases and improve scientific reasoning.

                Life sciences
                evolution,physiology,causality,none
                Life sciences
                evolution, physiology, causality, none

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