TY - JOUR AU - Ermakov, Dmitry AU - Ermakov, Alexander TI - From the principle of sustainable non-equilibrium to sustainable development JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 241 PY - 2024 PG - 7 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105233 UR - https://m2.mtmt.hu/api/publication/35316814 ID - 35316814 LA - English DB - MTMT ER - TY - JOUR AU - Mueller, Miklos AU - Elek, Gabor TI - The history of Ervin Bauer's publications on the theory of life JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 241 PY - 2024 PG - 12 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105212 UR - https://m2.mtmt.hu/api/publication/35313768 ID - 35313768 LA - English DB - MTMT ER - TY - JOUR AU - Martyshina, Arina V AU - Sirotkina, Anna G. AU - Gosteva, Irina V TI - Temporal multiscale modeling of biochemical regulatory networks: Calcium-regulated hepatocyte lipid and glucose metabolism JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 240 PY - 2024 PG - 13 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105227 UR - https://m2.mtmt.hu/api/publication/35286765 ID - 35286765 LA - English DB - MTMT ER - TY - JOUR AU - Wood, Tommy AU - Sorakivi, Tuomas AU - Ayres, Phil AU - Adamatzky, Andrew TI - Exploring discrete space-time models for information transfer: Analogies from mycelial networks to the cosmic web JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 243 PY - 2024 PG - 34 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105278 UR - https://m2.mtmt.hu/api/publication/35281498 ID - 35281498 LA - English DB - MTMT ER - TY - JOUR AU - Kalapos, Miklos Peter AU - de Bari, Lidia TI - The evolutionary arch of bioenergetics from prebiotic mechanisms to the emergence of a cellular respiratory chain JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 244 PY - 2024 PG - 14 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105288 UR - https://m2.mtmt.hu/api/publication/35268298 ID - 35268298 LA - English DB - MTMT ER - TY - JOUR AU - Di Giulio, Massimo TI - Theories of the origin of the genetic code: Strong corroboration for the coevolution theory JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 239 PY - 2024 PG - 12 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105217 UR - https://m2.mtmt.hu/api/publication/35266136 ID - 35266136 LA - English DB - MTMT ER - TY - JOUR AU - Esposito, Julia AU - Kakar, Jyotika AU - Khokhar, Tasneem AU - Noll-Walker, Tiana AU - Omar, Fatima AU - Christen, Anna AU - Cleaves, II H. James AU - Sandora, Mccullen TI - Comparing the complexity of written and molecular symbolic systems JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 244 PY - 2024 PG - 14 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105297 UR - https://m2.mtmt.hu/api/publication/35265726 ID - 35265726 N1 - Funding Agency and Grant Number: Blue Marble Space Institute of Science's Young Scholar Program Funding text: The authors wish to thank the Blue Marble Space Institute of Science's Young Scholar Program for organizational support during this work. AB - Symbolic systems (SSs) are uniquely products of living systems, such that symbolism and life may be inextricably intertwined phenomena. Within a given SS, there is a range of symbol complexity over which signaling is functionally optimized. This range exists relative to a complex and potentially infinitely large background of latent, unused symbol space. Understanding how symbol sets sample this latent space is relevant to diverse fields including biochemistry and linguistics. We quantitatively explored the graphic complexity of two biosemiotic systems: genetically encoded amino acids (GEAAs) and written language. Molecular and graphical notions of complexity are highly correlated for GEAAs and written language. Symbol sets are generally neither minimally nor maximally complex relative to their latent spaces, but exist across an objectively definable distribution, with the GEAAs having especially low complexity. The selection pressures guiding these disparate systems are explicable by symbol production and disambiguation efficiency. These selection pressures may be universal, offer a quantifiable metric for comparison, and suggest that all life in the Universe may discover optimal symbol set complexity distributions with respect to their latent spaces. If so, the "complexity" of individual components of SSs may not be as strong a biomarker as symbol set complexity distribution. LA - English DB - MTMT ER - TY - JOUR AU - Shirokawa, Yuka TI - Evolutionary stability of developmental commitment JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 244 PY - 2024 PG - 9 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105309 UR - https://m2.mtmt.hu/api/publication/35265722 ID - 35265722 N1 - Funding Agency and Grant Number: Platform for Dynamic Approaches to Living System from the Ministry of Education, Culture, Sports, Science (MEXT); Japan Agency for Medical Research and development (AMED); Japan Society for the Promotion of Science (JSPS) [16K14805] Funding text: This work was supported by the Platform for Dynamic Approaches to Living System from the Ministry of Education, Culture, Sports, Science (MEXT) and Japan Agency for Medical Research and development (AMED) ; and a Grant-in-Aid for Challenging Exploratory Research (Nos. 16K14805) from the Japan Society for the Promotion of Science (JSPS) . AB - Evolution of unicellular to multicellular organisms must resolve conflicts in reproductive interests between individual cells and the group. The social amoeba Dictyostelium discoideum is a soil-living eukaryote with facultative sociality. While cells grow in the presence of nutrients, cells aggregate under starvation to form fruiting bodies containing spores and altruistic stalk cells. Once cells socially committed, they complete formation of fruiting bodies, even if a new source of nutrients becomes available. The persistence of this social commitment raises questions as it inhibits individual cells from swiftly returning to solitary growth. I hypothesize that traits enabling premature de-commitment are hindered from being selected. Recent work has revealed outcomes of the premature de-commitment through forced refeeding; The de-committed cells take an altruistic prestalk-like position due to their reduced cohesiveness through interactions with socially committed cells. I constructed an evolutionary model assuming their division of labor. The results revealed a valley in the fitness landscape that prevented invasion of de-committing mutants, indicating evolutionary stability of the social commitment. The findings provide a general scheme that maintains multicellularity by evolving a specific division of labor, in which less cohesive individuals become altruists. LA - English DB - MTMT ER - TY - JOUR AU - Fontana, A. AU - Kyriazis, M. TI - How evolution makes us age: Introducing the evolvable soma theory of ageing JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 243 PY - 2024 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105271 UR - https://m2.mtmt.hu/api/publication/35256893 ID - 35256893 N1 - Export Date: 10 September 2024 CODEN: BSYMB Correspondence Address: Fontana, A.Via Elsa Morante 24, Italy; email: fontalex00@gmail.com LA - English DB - MTMT ER - TY - JOUR AU - Guo, Zi-Xuan AU - Feng, Tian-Jiao AU - Tao, Yi AU - Wang, Rui-Wu AU - Zheng, Xiu-Deng TI - Evolutionary dynamics of cooperation coupled with ecological feedback compensation JF - BIOSYSTEMS J2 - BIOSYSTEMS VL - 244 PY - 2024 PG - 7 SN - 0303-2647 DO - 10.1016/j.biosystems.2024.105282 UR - https://m2.mtmt.hu/api/publication/35179540 ID - 35179540 LA - English DB - MTMT ER -