| 1. |
- Chung, Ning Ning, et al.
(författare)
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Sex-linked genetic diversity originates from persistent sociocultural processes at microgeographic scales
- 2019
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Ingår i: Royal Society Open Science. - : The Royal Society. - 2054-5703. ; 6:8
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Tidskriftsartikel (refereegranskat)abstract
- Population genetics has been successful at identifying the relationships between human groups and their interconnected histories. However, the link between genetic demography inferred at large scales and the individual human behaviours that ultimately generate that demography is not always clear. While anthropological and historical context are routinely presented as adjuncts in population genetic studies to help describe the past, determining how underlying patterns of human sociocultural behaviour impact genetics still remains challenging. Here, we analyse patterns of genetic variation in village-scale samples from two islands in eastern Indonesia, patrilocal Sumba and a matrilocal region of Timor. Adopting a ‘process modelling’ approach, we iteratively explore combinations of structurally different models as a thinking tool. We find interconnected socio-genetic interactions involving sex-biased migration, lineage-focused founder effects, and on Sumba, heritable social dominance. Strikingly, founder ideology, a cultural model derived from anthropological and archaeological studies at larger regional scales, has both its origins and impact at the scale of villages. Process modelling lets us explore these complex interactions, first by circumventing the complexity of formal inference when studying large datasets with many interacting parts, and then by explicitly testing complex anthropological hypotheses about sociocultural behaviour from a more familiar population genetic standpoint.
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| 2. |
- Lansing, J. Stephen, et al.
(författare)
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Adaptive self-organization of Bali's ancient rice terraces
- 2017
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 114:25, s. 6504-6509
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Tidskriftsartikel (refereegranskat)abstract
- Spatial patterning often occurs in ecosystems as a result of a self-organizing process caused by feedback between organisms and the physical environment. Here, we show that the spatial patterns observable in centuries-old Balinese rice terraces are also created by feedback between farmers' decisions and the ecology of the paddies, which triggers a transition from local to global-scale control of water shortages and rice pests. We propose an evolutionary game, based on local farmers' decisions that predicts specific power laws in spatial patterning that are also seen in a multispectral image analysis of Balinese rice terraces. The model shows how feedbacks between human decisions and ecosystem processes can evolve toward an optimal state in which total harvests are maximized and the system approaches Pareto optimality. It helps explain how multiscale cooperation from the community to the watershed scale could persist for centuries, and why the disruption of this self-organizing system by the Green Revolution caused chaos in irrigation and devastating losses from pests. The model shows that adaptation in a coupled human-natural system can trigger self-organized criticality (SOC). In previous exogenously driven SOC models, adaptation plays no role, and no optimization occurs. In contrast, adaptive SOC is a self-organizing process where local adaptations drive the system toward local and global optima.
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| 3. |
- Lansing, J. Stephen, et al.
(författare)
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Kinship structures create persistent channels for language transmission
- 2017
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 114:49, s. 12910-12915
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Tidskriftsartikel (refereegranskat)abstract
- Languages are transmitted through channels created by kinship systems. Given sufficient time, these kinship channels can change the genetic and linguistic structure of populations. In traditional societies of eastern Indonesia, finely resolved cophylogenies of languages and genes reveal persistent movements between stable speech communities facilitated by kinship rules. When multiple languages are present in a region and post-marital residence rules encourage sustained directional movement between speech communities, then languages should be channeled along uniparental lines. We find strong evidence for this pattern in 982 individuals from 25 villages on two adjacent islands, where different kinship rules have been followed. Core groups of close relatives have stayed together for generations, while remaining in contact with, and marrying into, surrounding groups. Over time, these kinship systems shaped their gene and language phylogenies: Consistently following a postmarital residence rule turned social communities into speech communities.
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| 4. |
- Saw, Vee Liem, et al.
(författare)
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Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
- 2023
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Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 13:1
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Tidskriftsartikel (refereegranskat)abstract
- Predicting the origin-destination (OD) probability distribution of agent transfer is an important problem for managing complex systems. However, prediction accuracy of associated statistical estimators suffer from underdetermination. While specific techniques have been proposed to overcome this deficiency, there still lacks a general approach. Here, we propose a deep neural network framework with gated recurrent units (DNNGRU) to address this gap. Our DNNGRU is network-free, as it is trained by supervised learning with time-series data on the volume of agents passing through edges. We use it to investigate how network topologies affect OD prediction accuracy, where performance enhancement is observed to depend on the degree of overlap between paths taken by different ODs. By comparing against methods that give exact results, we demonstrate the near-optimal performance of our DNNGRU, which we found to consistently outperform existing methods and alternative neural network architectures, under diverse data generation scenarios.
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| 5. |
- Zhao, Li Na, et al.
(författare)
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S100A9 induces aggregation-prone conformation in Abeta peptides : a combined experimental and simulation study
- 2013
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Ingår i: RSC Advances. - : RSC Publishing. - 2046-2069. ; 3:46, s. 24081-24089
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Tidskriftsartikel (refereegranskat)abstract
- Inflammation is one of the prominent pathological features in Alzheimer's disease (AD). Recently, there have been various proposed roles of neuroinflammation, such as the driving forces, bystander, byproduct or the neuroprotective response. Notwithstanding these diverse possible mechanisms, experiments have found that S100A9 is one of the pro-inflammatory proteins abundant and over-expressed in the inflammation sites of AD. In this paper, we examine the role of S100A9 in the oligomerization process of A beta peptides by means of replica exchange molecular dynamics simulation and experimental investigations. Our experiments, based on atomic force microscopy and Thioflavin T spectroscopic assays, have clearly indicated that the close interaction between S100A9 and A beta has significantly enhanced the A beta oligomerization. In line with the experimental observation, our simulation studies have revealed that the pro-inflammatory S100A9 protein interacts with the A beta peptides directly, mainly through hydrophobic interactions with the A beta central hydrophobic core region. In addition, the formation of hydrogen bonds between the residues of the S100A9 homodimer and the two ends of the A beta peptides is found to cause a straightening of the A beta(12-24) peptides. A more straight A beta(12-24) peptide with a higher beta-content then may function as a template to induce the folding of new incoming A beta peptides, which leads to the formation of aggregation-prone oligomers.
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