Anticipatory dynamics of biological systems: from molecular quantum states to evolution

Igamberdiev, Abir U.

doi:10.1080/03081079.2015.1032525

Cited by 12 publications

(3 citation statements)

References 34 publications

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“…Organisation fluctuations distort perceptions, destabilises and fluidises imprints and models, perturbing interpretations. They thus support investigations about the role of imprecision, fuzziness, adaptation, anticipation, emotion and moods in adaptation, learning and cognition [124][125][126][127], during information transfer at any scale.…”

Section: Discussionsupporting

confidence: 73%

From Systems to Organisations

Kritz

2016

Preprint

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Warren Weaver, writing about the function that science should have in mankind’s developing future, ideas and ideals, proposed to classify scientific problems into ‘problems of simplicity’, ‘problems of disorganised complexity’, and ‘problems of organised complexity’ — the huge complementary class to which all biological, human, and social problems belong. Problems of simplicity have few components and variables and have been extensively addressed in the last 400 years. Problems of disorganised complexity have a huge number of individually erratic components and variables, but possess collective regularities that can be analysed by resourcing to stochastic methods. Yet, problems of organised complexity do not yield easily to classical or statistical treatment since interrelations among phenomenon elements change during its evolution alongside commonly used state variables, affecting behaviour and outcome. Moreover, organisation, the focal point in this complementary class, is still an elusive concept despite the gigantic efforts undertaken since a century ago to tame it. This paper addresses the description, representation and study of phenomena in the ‘problems of organised complexity’ class. Grounded on relational mathematical constructs, a theoretical framework providing operational definitions and schemes for formally modelling organisations and interaction of organisations is introduced. This framework extends the general systems’ concept and provides a novel perspective for addressing organised complexity phenomena as a collection of interacting organisations.

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Section: Discussionsupporting

confidence: 73%

From Systems to Organisations

Kritz

2016

Preprint

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“…Organisation fluctuations distort perceptions, destabilises and fluidises imprints and models, perturbing interpretations. The organisation perspective thus support investigations about the role of imprecision, fuzziness, adaptation, anticipation, emotion and moods in adaptation, learning and cognition [115,[146][147][148] during transfer of information at any scale and encompasses all three Shannon-Weaver levels [112].…”

Section: Discussionmentioning

confidence: 99%

From Systems to Organisations

Kritz

2017

Systems

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Warren Weaver, writing about the function that science should have in mankind's developing future, ideas and ideals, proposed to classify scientific problems into 'problems of simplicity', 'problems of disorganised complexity', and 'problems of organised complexity'-the huge complementary class to which all biological, human, and social problems belong. Problems of simplicity have few components and variables and have been extensively addressed in the last 400 years. Problems of disorganised complexity have a huge number of individually erratic components and variables, but possess collective regularities that can be analysed by resourcing to stochastic methods. Yet, 'problems of organised complexity' do not yield easily to classical or statistical treatment. Interrelations among phenomenon elements change during its evolution alongside commonly used state variables. This invalidates independence and additivity assumptions that support reductionism and affect behaviour and outcome. Moreover, organisation, the focal point in this complementary class, is still an elusive concept despite gigantic efforts undertaken since a century ago to tame it. This paper addresses the description, representation and study of phenomena in the 'problems of organised complexity' class, arguing that they should be treated as a collection of interacting organisations. Furthermore, grounded on relational mathematical constructs, a formal theoretical framework that provides operational definitions, schemes for representing organisations and their changes, as well as interactions of organisations is introduced. Organisations formally extend the general systems concept and suggest a novel perspective for addressing organised complexity phenomena as a collection of interacting organisations.

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“…The subtending molecular mechanisms able to modify inherited information without changing the primary nucleotide sequences mainly involve DNA methylation, the posttranslational modifications of histones, and the heterogeneous assortment of RNA regulatory systems (Pikaard & Mittelsten Scheid, 2014; Zhang, Lang, & Zhu, 2018). Although transgenerational inheritance of natural and induced epigenetic alterations has been reported in different plant species, the real implication of this phenomenon in both adaptation to environmental cues and in plant evolution is still to be exhaustively evaluated and understood (Hernam, Spencer, Donohue, & Sultan, 2013; Igamberdiev, 2015; Lauria & Rossi, 2018; Quadrana & Colot, 2016; Shapiro, 2013; Springer & Schmitz, 2017; Whipple & Holeski, 2016).…”

Section: Introductionmentioning

confidence: 99%

Seedbank seeds for the study of environmentally induced transgenerational epigenetic variability: A case study of barley

Martinelli¹,

Gavazzi

Mascheretti

et al. 2021

Crop Science

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Transgenerational epigenetics inheritance refers to the possibility to inherit epigenetic-based information acquired from previous generations. The design of experiments that can measure this phenomenon presents complexities. These are related mainly to difficulties in the identification of epigenetic variation components that are independent from genetic variation, and to difficulties related to the time needed to expose genetically stable plants to different environments for several generations. In this study we propose an experimental approach that takes advantage of seed material routinely produced by seedbanks in order to circumvent the abovementioned issues. By taking advantage of this freely available seed material, it is possible to evaluate epigenetic differences induced by the environment experienced by previous generations and to evaluate both the extent and the impact of epigenetic variation in crops. Seeds of two barley (Hordeum vulgare L.) cultivars, which were previously multiplied in six different seedbanks located worldwide, were grown in a common environment and the plants were evaluated at a genetic, epigenetic, and phenotypic level. Our results indicate that barley accessions multiplied in different environments displayed a comparable level of epigenetic variation, which was, however, greater than the genetic variation. Cluster analysis of methylation differences, likewise DNA differences, split the two cultivars in two distinct groups evidencing a clear link between genetic and epigenetic variation. Nevertheless, the analysis of phenotypic traits and of the CCGG sites that are variable in both cultivars suggests that there might be a possible link between previous cultivation environment and induced epigenetic changes at specific DNA regions.

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Anticipatory dynamics of biological systems: from molecular quantum states to evolution

Cited by 12 publications

References 34 publications

From Systems to Organisations

From Systems to Organisations

From Systems to Organisations

Seedbank seeds for the study of environmentally induced transgenerational epigenetic variability: A case study of barley

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