Science,philosophy, and politics in the work of J. B. S. Haldane, 1922–1937

This paper analyzes the interaction between science, philosophy and politics (including ideology) in the early work of J. B. S. Haldane (from 1922 to 1937). This period is particularly important, not only because it is the period of Haldane's most significant biological work (both in biochemistry and genetics), but also because it is during this period that his philosophical and political views underwent their most significant transformation. His philosophical stance first changed from a radical organicism to a position far more compatible with mechanical materialism. The primary intellectual influence that was responsible for this shift was that of F. G. Hopkins. Later, Haldane came to accept Marxism and its official metaphysics, dialectical materialism, a move that let him accept the materialist conception of the world while still maintaining a resolute distance from mechanism. Throughout all these changes, what is most obvious is the influence of science on Haldane's philosophical views. An influence in the opposite direction is far less apparent.Parts of this paper are extracted from a longer work which concerns the interactions between philosophy and science throughout Haldane's scientific career (Sarkar forthcoming). The general conclusions reached here, from a consideration of Haldane's work only from 1922 to 1937 (see Section 6), remain the same for the rest of his life, as is detailed in the longer work. Thanks are due to R. S. Cohen, J. F. Crow, A. R. Fersht, J. Maynard Smith, R. C. Olby, D. Paul, M. Ruse, J. Stachel and S. Sturdy for helpful discussions and comments and criticism of the positions outlined in this paper. This is Contribution No. BTBG-92-4 from the Theoretical Biology Group, Boston University.     

Darwin,Malthus, Süssmilch,and Euler: The Ultimate Origin of the Motivation for the Theory of Natural Selection

It is fairly well known that Darwin was inspired to formulate his theory of natural selection by reading Thomas Malthus’s Essay on the Principle of Population. In fact, by reading Darwin’s notebooks, we can even locate one particular sentence which started Darwin thinking about population and selection. What has not been done before is to explain exactly where this sentence – essentially Malthus’s ideas about geometric population growth – came from. In this essay we show that eighteenth century mathematician Leonhard Euler is responsible for this sentence, and in fact forms the beginning of the logical chain which leads to the creation of the theory of natural selection. We shall examine the fascinating path taken by a mathematical calculation, the many different lenses through which it was viewed, and the path through which it eventually influenced Darwin.     

Outside St. Jørgen: leprosy in the medieval Danish city of Odense

Leprosy was a common and dreaded disease in the Danish Middle Ages (AD 1050-1536). Starting in the second half of the 13th century, leprosaria were established in many Danish towns and cities. In the city of Odense (on the island of Funen, Denmark), the cemetery of the leprosarium was totally excavated, and four nonleprosarium medieval and early modern cemeteries have been partly excavated. This paper explores the frequency of leprosy in the nonleprosarium cemeteries in Odense, and looks for evidence of selective exclusion from the ordinary population. The analyses are based on 733 skeletons from four cemeteries in Odense: the Gray Friars monastery, St. Albani parish church, St. Knuds cathedral, and Black Friars monastery. Seven lesions are scored and, based on known epidemiological properties (i.e., specificity and sensitivity) of these lesions, scores were transformed to statistics characterizing an individual's risk of having suffered from leprosy. This statistical approach remains of primary theoretical value, pending confirmation by independent research groups at other sites. Prevalence of the skeletal manifestation of leprosy at death varied between 0-17% among the different cemeteries in Odense. The highest prevalence was seen in cemeteries with many burials before AD 1400. It is estimated that before AD 1400, between 14-17% of those buried in the nonleprosarium cemeteries suffered from leprosy. In all nonleprosarium cemeteries, there was evidence for selective exclusion of people with facial leprosy lesions. For a short period just up to AD 1300, the cemetery of the Odense leprosarium had, on average, more than 20 yearly burials. The establishment of the leprosarium was followed within a relatively short period by a dramatic decline in the number of sufferers of leprosy in the nonleprosarium cemeteries. The number of yearly burials in the leprosarium cemetery also declined rapidly during the 14th century. The present analyses do not permit conclusions about the reasons for this decline in leprosy prevalence.     

The Florey Lecture, 1990. How is the cell division cycle regulated?

It is argued in this lecture that in most eukaryotic cells onset of mitosis is coupled to attainment of a critical cell mass and to completion of the previous S-phase. In fission yeast these controls operate through a regulatory gene network that activates the p34cdc2 protein kinase at mitosis. This is brought about by dephosphorylation of a tyrosine residue located in the ATP binding site of the kinase. The p34cdc2 protein kinase is also important for regulating the onset of mitosis in vertebrate cells suggesting that there is a universal control regulating mitosis in all eukaryotic cells.     

Asymmetric re‐entrainment and phase response of the circadian activity rhythm of a nocturnal marsupial (Petaurus breviceps: Phalangeridae)

Abstract

Sugar Gliders (Petaurus breviceps) re‐entrain faster after 8‐h delay shifts of an LD 12:12 and an LD 8:16 (31–56:0.3 lux each) than after 8‐h advance shifts of these Zeitgeber cycles. In order to test whether this asymmetric re‐entrainment behavior is related to, or even caused by the phase response characteristics of the circadian system, the phase response of the activity rhythm to short and long light pulses was studied. Short light pulses (15 min of 31–56 lux against a background intensity of 0.3 lux) caused only relatively small delay shifts when applied around the onset, and more pronounced advance shifts when given at the end of the activity time (α). Onset and end of activity shifted by different amounts. Long light pulses produced by 8‐h advances and delays of one single lighttime of an LD 12:12 elicited pronounced phase delays when applied at the beginning of the activity time, but only minor phase advances when given at the posterior part of α. These results indicate that in Petaurus breviceps the phase response characteristics to long light pulses exerting parametric effects of light are responsible for the pronounced asymmetry effect in re‐entrainment. Differing phase responses of onset and end of activity point to a two‐oscillator structure of the circadian pacemaker system in this marsupial.     

Theodor Bücher Lecture. Metabolomics, modelling and machine learning in systems biology - towards an understanding of the languages of cells. Delivered on 3 July 2005 at the 30th FEBS Congress and the 9th IUBMB conference in Budapest

The newly emerging field of systems biology involves a judicious interplay between high-throughput 'wet' experimentation, computational modelling and technology development, coupled to the world of ideas and theory. This interplay involves iterative cycles, such that systems biology is not at all confined to hypothesis-dependent studies, with intelligent, principled, hypothesis-generating studies being of high importance and consequently very far from aimless fishing expeditions. I seek to illustrate each of these facets. Novel technology development in metabolomics can increase substantially the dynamic range and number of metabolites that one can detect, and these can be exploited as disease markers and in the consequent and principled generation of hypotheses that are consistent with the data and achieve this in a value-free manner. Much of classical biochemistry and signalling pathway analysis has concentrated on the analyses of changes in the concentrations of intermediates, with 'local' equations - such as that of Michaelis and Menten v=(Vmax x S)/(S+K m) - that describe individual steps being based solely on the instantaneous values of these concentrations. Recent work using single cells (that are not subject to the intellectually unsupportable averaging of the variable displayed by heterogeneous cells possessing nonlinear kinetics) has led to the recognition that some protein signalling pathways may encode their signals not (just) as concentrations (AM or amplitude-modulated in a radio analogy) but via changes in the dynamics of those concentrations (the signals are FM or frequency-modulated). This contributes in principle to a straightforward solution of the crosstalk problem, leads to a profound reassessment of how to understand the downstream effects of dynamic changes in the concentrations of elements in these pathways, and stresses the role of signal processing (and not merely the intermediates) in biological signalling. It is this signal processing that lies at the heart of understanding the languages of cells. The resolution of many of the modern and postgenomic problems of biochemistry requires the development of a myriad of new technologies (and maybe a new culture), and thus regular input from the physical sciences, engineering, mathematics and computer science. One solution, that we are adopting in the Manchester Interdisciplinary Biocentre (http://www.mib.ac.uk/) and the Manchester Centre for Integrative Systems Biology (http://www.mcisb.org/), is thus to colocate individuals with the necessary combinations of skills. Novel disciplines that require such an integrative approach continue to emerge. These include fields such as chemical genomics, synthetic biology, distributed computational environments for biological data and modelling, single cell diagnostics/bionanotechnology, and computational linguistics/text mining.