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Carbon Dioxide as a Pollutant. The Risks of Rising Atmospheric CO$_2$ Levels on Human Health and on the Stability of the Biosphere 作为污染物的二氧化碳。大气中二氧化碳含量上升对人类健康和生物圈稳定性的风险
Pub Date : 2024-08-15 DOI: arxiv-2408.08344
Ugo Bardi
Carbon dioxide is a chemically active molecule that plays a vital role inEarth's ecosphere. CO$_2$ affects the acidity of seawater and has multiplenegative effects on marine organisms. It is also a fundamental component of thephotosynthesis and respiration reactions. There is evidence that higher CO$_2$concentration can make the photosynthetic reaction faster in some plants, butalso negatively impact the respiration reaction in aerobic lifeforms. Theeffects of this chemical and biochemical perturbation on the biosphere and onhuman health may be more important than generally highlighted in the discussionon CO$_2$, usually focused on thermal effects only. These considerations stressthe importance of rapidly reducing CO$_2$ emissions and, whenever possible,remove the excess from the atmosphere. They also show that geoengineeringtechnologies based on Solar Radiation Management (SRM) alone cannot besufficient to contrast the negative effects of CO$_2$ anthropogenic emissions.
二氧化碳是一种化学性质活跃的分子,在地球生态圈中发挥着至关重要的作用。二氧化碳会影响海水的酸度,并对海洋生物产生多重负面影响。它也是光合作用和呼吸反应的基本成分。有证据表明,二氧化碳浓度越高,某些植物的光合反应速度越快,但同时也会对需氧生物的呼吸反应产生负面影响。这种化学和生化扰动对生物圈和人类健康的影响,可能比通常只关注热效应的有关 CO$_2$ 的讨论所强调的更为重要。这些考虑突出了迅速减少 CO2 排放并尽可能从大气中清除多余 CO2 的重要性。它们还表明,仅靠基于太阳辐射管理(SRM)的地球工程技术不足以抵消二氧化碳人为排放的负面影响。
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引用次数: 0
DOME Registry: Implementing community-wide recommendations for reporting supervised machine learning in biology DOME 注册中心:在全社会范围内实施关于报告生物学中监督机器学习的建议
Pub Date : 2024-08-14 DOI: arxiv-2408.07721
Omar Abdelghani AttafiDepartment of Biomedical Sciences University of Padova Italy, Damiano ClementelDepartment of Biomedical Sciences University of Padova Italy, Konstantinos KyritsisInstitute of Applied Biosciences Centre for Research and Technology Hellas Thessaloniki Greece, Emidio CapriottiDepartment of Pharmacy and Biotechnology University of Bologna Bologna Italy, Gavin FarrellELIXIR Hub Hinxton Cambridge UK, Styliani-Christina FragkouliInstitute of Applied Biosciences Centre for Research and Technology Hellas Thessaloniki GreeceDepartment of Biology National and Kapodistrian University of Athens Athens Greece, Leyla Jael CastroZB Med Information Centre for Life Sciences Cologne Germany, András HatosDepartment of Oncology Geneva University Hospitals Geneva SwitzerlandDepartment of Computational Biology University of Lausanne Lausanne SwitzerlandSwiss Institute of Bioinformatics Lausanne SwitzerlandSwiss Cancer Center Léman Lausanne Switzerland, Tom LenaertsInteruniversity Institute of Bioinformatics in Brussels Université Libre de Bruxelles Vrije Universiteit Brussel Brussels BelgiumMachine Learning Group Université Libre de Bruxelles Street BelgiumArtificial Intelligence Laboratory Vrije Universiteit Brussels Brussels Belgium, Stanislav MazurenkoLoschmidt Laboratories Department of Experimental Biology and RECETOX Faculty of ScienceMasaryk University Brno Czech Republic International Clinical Research Centre St Anne's Hospital Brno Czech Republic, Soroush MozaffariDepartment of Biomedical Sciences University of Padova Italy, Franco PradelliDepartment of Biomedical Sciences University of Padova Italy, Patrick RuchHES-SO - HEG Geneva Geneva SwitzerlandSIB Swiss Institute of Bioinformatics Geneva Switzerland, Castrense SavojardoDepartment of Pharmacy and Biotechnology University of Bologna Bologna Italy, Paola TurinaDepartment of Pharmacy and Biotechnology University of Bologna Bologna Italy, Federico ZambelliDept of Biosciences University of Milan ItalyInstitute of Biomembranes Bioenergetics and Molecular Biotechnologies Bari Italy, Damiano PiovesanDepartment of Biomedical Sciences University of Padova Italy, Alexander Miguel MonzonDepartment of Information Engineering University of Padova Italy, Fotis PsomopoulosInstitute of Applied Biosciences Centre for Research and Technology Hellas Thessaloniki Greece, Silvio C. E. TosattoDepartment of Biomedical Sciences University of Padova ItalyInstitute of Biomembranes Bioenergetics and Molecular Biotechnologies National Research Council Bari Italy
Supervised machine learning (ML) is used extensively in biology and deservescloser scrutiny. The DOME recommendations aim to enhance the validation andreproducibility of ML research by establishing standards for key aspects suchas data handling and processing, optimization, evaluation, and modelinterpretability. The recommendations help to ensure that key details arereported transparently by providing a structured set of questions. Here, weintroduce the DOME Registry (URL: registry.dome-ml.org), a database that allowsscientists to manage and access comprehensive DOME-related information onpublished ML studies. The registry uses external resources like ORCID, APICURONand the Data Stewardship Wizard to streamline the annotation process and ensurecomprehensive documentation. By assigning unique identifiers and DOME scores topublications, the registry fosters a standardized evaluation of ML methods.Future plans include continuing to grow the registry through communitycuration, improving the DOME score definition and encouraging publishers toadopt DOME standards, promoting transparency and reproducibility of ML in thelife sciences.
有监督的机器学习(ML)被广泛应用于生物学领域,值得更严格的审查。DOME 建议旨在通过建立数据处理和加工、优化、评估和模型可解释性等关键方面的标准,加强 ML 研究的验证和可重复性。这些建议通过提供一系列结构化问题,有助于确保关键细节的透明报告。在此,我们介绍 DOME 注册中心(URL:registry.dome-ml.org),这是一个允许科学家管理和访问已发表的 ML 研究的 DOME 相关综合信息的数据库。该注册中心使用 ORCID、APICURON 和数据管理向导等外部资源来简化注释过程并确保文档的全面性。未来的计划包括通过社区化继续发展该注册机构,改进 DOME 分数定义,鼓励出版商采用 DOME 标准,提高生命科学领域 ML 的透明度和可重复性。
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引用次数: 0
Miscalibration of simulations: A comment on Luebbert and Pachter: 'Miscalibration of the honeybee odometer' arXiv:2405.12998v1 模拟的误校准:评论 Luebbert 和 Pachter:《蜜蜂里程表的误校准》arXiv:2405.12998v1
Pub Date : 2024-08-14 DOI: arxiv-2408.07713
Geoffrey Willam Stuart
In this commentary I review the claim by Luebbert and Pachter(arXiv:2405.12998v1) that the reported R-Squared value in Srinivasan et al.(Science, 287(5454):851-853, 2000), describing the relationship betweendistance to a food source and mean waggle duration of honeybee dances, was toohigh to be consistent with the reported means and standard deviations in thelatter study. There is one serious limitation of the simulations conducted byLuebbert and Pachter, and two flaws that compromise their findings. Thereported R-squared value of Srinivasan. et al. is within the expected range, asfar as that can be determined given the limitations of the available data.
在这篇评论中,我回顾了 Luebbert 和 Pachter(arXiv:2405.12998v1)的说法,即 Srinivasan 等人(《科学》,287(5454):851-853, 2000)报告的 R 平方值(描述了距离食物源的距离与蜜蜂舞蹈的平均摇摆持续时间之间的关系)过高,与后来研究中报告的平均值和标准偏差不一致。Luebbert 和 Pachter 所做的模拟有一个严重的局限性,还有两个缺陷影响了他们的研究结果。斯里尼瓦桑等人报告的 R 平方值在预期范围之内,这是在现有数据的限制下所能确定的。
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引用次数: 0
Performing clinical drug trials in children with a rare disease 对患有罕见疾病的儿童进行临床药物试验
Pub Date : 2024-08-13 DOI: arxiv-2408.07142
Victoria Hedley, Rebecca Leary, Anando Sen, Anna Irvin, Emma Heslop, Volker Straub
Over the past 50 years, the advancements in medical and health research haveradically changed the epidemiology of health conditions in neonates, children,and adolescents; and clinical research has on the whole, moved forward.However, large sections of the pediatric community remain vulnerable andunderserved, by clinical research. One reason for this is the fact that mostpediatric diseases are also rare diseases (i.e., they fit the EU definition ofa rare condition, by affecting no more than 5 in 10,000 individuals), andindeed the majority of conditions under this umbrella heading are in fact muchrarer, affecting fewer than 1 in 100,000. Rare pediatric diseases incurparticular challenges, both in terms of actually conducting clinical trials butalso planning trials (and indeed, stimulating the preclinical research andknowledge generation necessary to embark on clinical trials in the firstplace). The pediatric regulation and orphan regulation (covering rare diseases)were introduced to address the complexities in research and development ofmedicines specifically for children and for people living with a rare disease,respectively. The regulations have been reasonably effective, particularly inareas where adult and pediatric diseases overlap, driving the development ofmore pediatric medicines; however, challenges still remain, often exacerbatedby the rarity of the diseases. These include issues around trial planning, theneed for more innovative methodologies in smaller populations, significantdelays in trial start up and recruitment, recruitment issues (due to smallpopulations and the nature of the conditions), lack of endpoints, and scarcedata. This chapter will discuss some of the major challenges in deliveringtrials in pediatric rare diseases while also assessing current and futuresolutions to address these.
在过去的 50 年里,医学和健康研究的进步不断改变着新生儿、儿童和青少年健康状况的流行病学;临床研究也在整体上向前发展。原因之一是大多数儿科疾病也是罕见病(即符合欧盟对罕见病的定义,患病人数不超过万分之五),而事实上,在这一总标题下的大多数疾病都更为罕见,患病人数不到十万分之一。罕见儿科疾病不仅在实际开展临床试验方面,而且在计划临床试验(实际上是在激励开展临床试验所需的临床前研究和知识积累)方面都面临特殊挑战。儿科法规和孤儿法规(涵盖罕见病)的出台分别是为了解决专为儿童和罕见病患者研发药物的复杂性。这些法规相当有效,尤其是在成人和儿科疾病重叠的领域,推动了更多儿科药物的开发;然而,挑战依然存在,而且往往因疾病的罕见性而加剧。这些挑战包括有关试验规划的问题、在较小的人群中需要更多的创新方法、试验启动和招募方面的重大延误、招募问题(由于人口少和疾病的性质)、终点的缺乏以及数据稀缺。本章将讨论在儿科罕见病试验中面临的一些主要挑战,同时评估当前和未来解决这些问题的方案。
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引用次数: 0
A modular open-source software platform for BCI research with application in closed-loop deep brain stimulation 用于闭环深部脑刺激的模块化开源 BCI 研究软件平台
Pub Date : 2024-08-02 DOI: arxiv-2408.01242
Matthias Dold, Joana Pereira, Bastian Sajonz, Volker A. Coenen, Marcus L. F. Janssen, Michael Tangermann
This work introduces Dareplane, a modular and broad technology agnostic opensource software platform for brain-computer interface research with anapplication focus on adaptive deep brain stimulation (aDBS). While the searchfor suitable biomarkers to inform aDBS has provided rich results over the lasttwo decades, development of control strategies is not progressing at the samepace. One difficulty for investigating control approaches resides with thecomplex setups required for aDBS experiments. The Dareplane platform supportsaDBS setups, and more generally brain computer interfaces, by providing amodular, technology-agnostic, and easy-to-implement software platform to makeexperimental setups more resilient and replicable. The key features of theplatform are presented and the composition of modules into a full experimentalsetup is discussed in the context of a Python-based orchestration module. Theperformance of a typical experimental setup on Dareplane for aDBS is evaluatedin three benchtop experiments, covering (a) an easy-to-replicate setup using anArduino microcontroller, (b) a setup with hardware of an implantable pulsegenerator, and (c) a setup using an established and CE certified externalneurostimulator. Benchmark results are presented for individual processingsteps and full closed-loop processing. The results show that themicrocontroller setup in (a) provides timing comparable to the realistic setupsin (b) and (c). The Dareplane platform was successfully used in a total of 19open-loop DBS sessions with externalized DBS and electrocorticography (ECoG)leads. In addition, the full technical feasibility of the platform in the aDBScontext is demonstrated in a first closed-loop session with externalized leadson a patient with Parkinson's disease receiving DBS treatment.
这项工作介绍了 Dareplane,这是一个模块化、技术广泛的开源软件平台,用于脑机接口研究,重点应用于自适应深部脑刺激(aDBS)。在过去二十年里,寻找合适的生物标志物为 aDBS 提供信息的工作取得了丰硕成果,但控制策略的开发却没有取得同步进展。研究控制方法的一个困难在于 aDBS 实验所需的复杂设置。Dareplane 平台通过提供模块化、与技术无关、易于实施的软件平台,使实验装置更具弹性和可复制性,从而为 DBS 装置以及更广泛的脑计算机接口提供支持。本文介绍了该平台的主要特点,并结合基于 Python 的协调模块讨论了如何将模块组成一个完整的实验装置。在三个台式实验中评估了 Dareplane 上用于 DBS 的典型实验装置的性能,包括:(a)使用 Arduino 微控制器的易于复制的装置;(b)使用植入式脉冲发生器硬件的装置;以及(c)使用经 CE 认证的成熟外部神经刺激器的装置。演示了单个处理步骤和全闭环处理的基准结果。结果表明,(a)中的微控制器设置所提供的时序与(b)和(c)中的实际设置相当。Dareplane 平台共成功用于 19 次外置 DBS 和心电图导线的开环 DBS 治疗。此外,在一名接受 DBS 治疗的帕金森病患者的首次外置导联闭环治疗中,也证明了该平台在 DBS 情况下的完全技术可行性。
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引用次数: 0
Prelude to a Compositional Systems Biology 合成系统生物学的前奏
Pub Date : 2024-08-01 DOI: arxiv-2408.00942
Eran Agmon
Composition is a powerful principle for systems biology, focused on theinterfaces, interconnections, and orchestration of distributed processes.Whereas most systems biology models focus on the structure or dynamics ofspecific subsystems in controlled conditions, compositional systems biologyaims to connect such models into integrative multiscale simulations. Thisemphasizes the space between models--a compositional perspective asks whatvariables should be exposed through a submodel's interface? How do coupledmodels connect and translate across scales? How can we connect domain-specificmodels across biological and physical research areas to drive the synthesis ofnew knowledge? What is required of software that integrates diverse datasetsand submodels into unified multiscale simulations? How can the resultingintegrative models be accessed, flexibly recombined into new forms, anditeratively refined by a community of researchers? This essay offers ahigh-level overview of the key components for compositional systems biology,including: 1) a conceptual framework and corresponding graphical framework torepresent interfaces, composition patterns, and orchestration patterns; 2)standardized composition schemas that offer consistent formats for composabledata types and models, fostering robust infrastructure for a registry ofsimulation modules that can be flexibly assembled; 3) a foundational set ofbiological templates--schemas for cellular and molecular interfaces, which canbe filled with detailed submodels and datasets, and are designed to integrateknowledge that sheds light on the molecular emergence of cells; and 4)scientific collaboration facilitated by user-friendly interfaces for connectingresearchers with datasets and models, and which allows a community ofresearchers to effectively build integrative multiscale models of cellularsystems.
大多数系统生物学模型侧重于特定子系统在受控条件下的结构或动力学,而组合系统生物学则旨在将这些模型连接成综合的多尺度模拟。这就强调了模型之间的空间--组合视角会问哪些变量应通过子模型的界面暴露出来?耦合模型如何跨尺度连接和转换?我们如何连接生物和物理研究领域的特定领域模型,以推动新知识的合成?将不同的数据集和子模型集成到统一的多尺度模拟中的软件需要具备哪些条件?由此产生的集成模型如何才能被研究人员群体访问、灵活地重新组合成新的形式并得到文学上的完善?本文从高层次概述了组合系统生物学的关键要素,包括1)概念框架和相应的图形框架,用于表示接口、组合模式和协调模式;2)标准化的组合模式,为组合数据类型和模型提供一致的格式,为可灵活组合的模拟模块注册中心提供强大的基础设施;3)一套基本的生物学模板--细胞和分子界面的模式,可填充详细的子模型和数据集,旨在整合揭示细胞分子出现的知识;以及4)通过用户友好界面促进科学合作,将研究人员与数据集和模型连接起来,使研究人员社区能够有效地构建细胞系统的多尺度综合模型。
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引用次数: 0
BERT and LLMs-Based avGFP Brightness Prediction and Mutation Design 基于 BERT 和 LLM 的 avGFP 亮度预测和突变设计
Pub Date : 2024-07-30 DOI: arxiv-2407.20534
X. Guo, W. Che
This study aims to utilize Transformer models and large language models (suchas GPT and Claude) to predict the brightness of Aequorea victoria greenfluorescent protein (avGFP) and design mutants with higher brightness.Considering the time and cost associated with traditional experimentalscreening methods, this study employs machine learning techniques to enhanceresearch efficiency. We first read and preprocess a proprietary datasetcontaining approximately 140,000 protein sequences, including about 30,000avGFP sequences. Subsequently, we constructed and trained a Transformer-basedprediction model to screen and design new avGFP mutants that are expected toexhibit higher brightness. Our methodology consists of two primary stages: first, the construction of ascoring model using BERT, and second, the screening and generation of mutantsusing mutation site statistics and large language models. Through the analysisof predictive results, we designed and screened 10 new high-brightness avGFPsequences. This study not only demonstrates the potential of deep learning inprotein design but also provides new perspectives and methodologies for futureresearch by integrating prior knowledge from large language models.
考虑到传统实验筛选方法的时间和成本,本研究采用机器学习技术来提高研究效率。我们首先读取并预处理了一个专有数据集,该数据集包含约 140,000 个蛋白质序列,其中包括约 30,000 个avGFP 序列。随后,我们构建并训练了一个基于 Transformer 的预测模型,用于筛选和设计有望表现出更高亮度的新 avGFP 突变体。我们的方法包括两个主要阶段:首先,利用 BERT 构建 ascoring 模型;其次,利用突变位点统计和大型语言模型筛选和生成突变体。通过分析预测结果,我们设计并筛选出了 10 个新的高亮度 avGFP 序列。这项研究不仅展示了深度学习在蛋白质设计方面的潜力,而且通过整合大型语言模型的先验知识,为未来研究提供了新的视角和方法。
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引用次数: 0
Modelling vitamin D food fortification among Aboriginal and Torres Strait Islander peoples in Australia 澳大利亚土著居民和托雷斯海峡岛民维生素 D 食物强化建模
Pub Date : 2024-07-29 DOI: arxiv-2407.20116
Belinda Neo, Noel Nannup, Dale Tilbrook, Eleanor Dunlop, John Jacky, Carol Michie, Cindy Prior, Brad Farrant, Carrington C. J. Shepherd, Lucinda J. Black
Background: Low vitamin D intake and high prevalence of vitamin D deficiency(serum 25-hydroxyvitamin D concentration < 50 nmol/L) among Aboriginal andTorres Strait Islander peoples highlight a need for public health strategies toimprove vitamin D status. As few foods contain naturally occurring vitamin D,fortification strategies may be needed to improve vitamin D intake and statusamong Aboriginal and Torres Strait Islander peoples. Objective: We aimed tomodel vitamin D food fortification scenarios among Aboriginal and Torres StraitIslander peoples. Methods: We used nationally representative food consumptiondata (n=4,109) and vitamin D food composition data to model four foodfortification scenarios. The modelling for Scenario 1 included foods andmaximum vitamin D concentrations permitted for fortification in Australia: i)dairy products and alternatives, ii) butter/margarine/oil spreads, iii)formulated beverages, and iv) selected ready-to-eat breakfast cereals. Themodelling for Scenarios 2a-c included some vitamin D concentrations higher thanpermitted in Australia; Scenario 2c included bread, which is not permitted forvitamin D fortification in Australia. Scenario 2a: i) dairy products andalternatives, ii) butter/margarine/oil spreads, iii) formulated beverages.Scenario 2b: as per Scenario 2a plus selected ready-to-eat breakfast cereals.Scenario 2c: as per Scenario 2b plus bread. Results: Vitamin D fortification ofa range of staple foods could potentially increase vitamin D intake amongAboriginal and Torres Strait Islander peoples by ~ 3-6 {mu}g/day. Scenario 2cshowed the highest potential median vitamin D intake increase to ~ 8{mu}g/day. Across all modelled scenarios, none of the participants had vitaminD intake above the Australian upper level of intake of 80 {mu}g/day.
背景:原住民和托雷斯海峡岛民维生素 D 摄入量低,维生素 D 缺乏症(血清 25- 羟维生素 D 浓度低于 50 nmol/L)发病率高,这凸显了改善维生素 D 状态的公共卫生策略的必要性。由于很少有食物含有天然维生素 D,因此可能需要采取强化策略来改善土著居民和托雷斯海峡岛民的维生素 D 摄入量和状况。目的:我们旨在模拟原住民和托雷斯海峡岛民的维生素 D 食物强化方案。方法:我们使用了具有全国代表性的食品消费数据:我们使用具有全国代表性的食物消费数据(n=4109)和维生素 D 食物成分数据,模拟了四种食物强化方案。方案 1 的建模包括澳大利亚允许强化的食品和维生素 D 的最高浓度:i) 乳制品及其替代品;ii) 黄油/人造黄油/油涂抹酱;iii) 配方饮料;iv) 部分即食谷物早餐。方案 2a-c 的模拟包括一些维生素 D 浓度高于澳大利亚允许水平的食品;方案 2c 包括面包,澳大利亚不允许在面包中添加维生素 D。方案 2a:i) 乳制品和替代品,ii) 黄油/人造黄油/涂油,iii) 配方饮料。方案 2b:与方案 2a 相同,加上选定的即食谷物早餐。结果:一系列主食的维生素D强化可能会使土著居民和托雷斯海峡岛民的维生素D摄入量增加约3-6 {mu}克/天。方案2c显示维生素D摄入量的潜在中位数增幅最大,达到~ 8{mu}克/天。在所有模拟情景中,没有一个参与者的维生素D摄入量超过澳大利亚80{mu}克/天的摄入上限。
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引用次数: 0
When Life Gives You Lemons, Squeeze Your Way Through: Understanding Citrus Avoidance Behaviour by Free-Ranging Dogs in India 当生活给你柠檬时,挤一挤就过去了:了解印度自由放养狗躲避柑橘的行为
Pub Date : 2024-07-24 DOI: arxiv-2407.17601
Tuhin Subhra Pal, Srijaya Nandi, Rohan Sarkar, Anindita Bhadra
Palatability of food is driven by multiple factors like taste, smell,texture, freshness, etc. and can be very variable across species. There areclassic examples of local adaptations leading to speciation, driven by foodavailability. Urbanization across the world is causing rapid decline ofbiodiversity, while also driving local adaptations in some species.Free-ranging dogs are an interesting example of adaptation to a human-dominatedenvironment across varied habitats. They have co-existed with humans forcenturies and are a perfect model system for studying local adaptations. Weattempted to understand a specific aspect of their scavenging behaviour inIndia: citrus aversion. Pet dogs are known to avoid citrus fruits and foodcontaminated by them. In India, lemons are used widely in the cuisine, anddiscarded in the garbage. Hence, free-ranging dogs, that typically arescavengers of human leftovers, are likely to encounter lemons andlemon-contaminated food on a regular basis. We carried out a population levelexperiment to test response of free-ranging dogs to chicken contaminated withvarious parts of lemon. The dogs avoided chicken contaminated with lemon juicethe most. Further, when provided with chicken dipped in three differentconcentrations of lemon juice, the lowest concentration was most preferred. Asurvey confirmed that the local people use lemon in their diet extensively andalso discard these with the leftovers. People avoided giving citruscontaminated food to their pets but did not follow the same caution forfree-ranging dogs. This study revealed that free-ranging dogs in West Bengal,India, are well adapted to scavenging among citrus-contaminated garbage andhave their own strategies to avoid the contamination as far as possible, whilemaximizing their preferred food intake.
食物的适口性受味道、气味、质地、新鲜度等多种因素的影响,不同物种之间的适口性差异很大。在食物可获得性的驱动下,局部适应导致物种分化的例子比比皆是。世界各地的城市化正在导致生物多样性迅速减少,同时也推动了一些物种的局部适应。它们与人类共存了几个世纪,是研究局部适应性的完美模式系统。我们试图了解它们在印度清道夫行为的一个特定方面:厌恶柑橘。众所周知,宠物狗会避开柑橘类水果和受其污染的食物。在印度,柠檬被广泛用于烹饪,并被丢弃在垃圾中。因此,自由放养的狗通常是人类残羹剩饭的清道夫,很可能会经常遇到柠檬和被柠檬污染的食物。我们进行了一项群体水平的实验,测试散养狗对被柠檬不同部位污染的鸡肉的反应。这些狗最不喜欢吃被柠檬汁污染的鸡肉。此外,当给狗提供蘸有三种不同浓度柠檬汁的鸡肉时,它们最喜欢蘸浓度最低的柠檬汁。调查证实,当地人在饮食中广泛使用柠檬,并将其与剩菜一起丢弃。人们避免给宠物食用受柑橘污染的食物,但对放养的狗却没有采取同样的谨慎态度。这项研究表明,印度西孟加拉邦的放养狗非常适应在受柑橘污染的垃圾中觅食,它们有自己的策略来尽可能避免污染,同时最大限度地摄入自己喜欢的食物。
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引用次数: 0
The Genomic Code: The genome instantiates a generative model of the organism 基因组密码基因组实例化了生物体的生成模型
Pub Date : 2024-07-22 DOI: arxiv-2407.15908
Kevin J. Mitchell, Nick Cheney
How does the genome encode the form of the organism? What is the nature ofthis genomic code? Common metaphors, such as a blueprint or program, fail tocapture the complex, indirect, and evolutionarily dynamic relationship betweenthe genome and organismal form, or the constructive, interactive processes thatproduce it. Such metaphors are also not readily formalised, either to treatempirical data or to simulate genomic encoding of form in silico. Here, wepropose a new analogy, inspired by recent work in machine learning andneuroscience: that the genome encodes a generative model of the organism. Inthis scheme, by analogy with variational autoencoders, the genome does notencode either organismal form or developmental processes directly, butcomprises a compressed space of latent variables. These latent variables arethe DNA sequences that specify the biochemical properties of encoded proteinsand the relative affinities between trans-acting regulatory factors and theirtarget sequence elements. Collectively, these comprise a connectionist network,with weights that get encoded by the learning algorithm of evolution anddecoded through the processes of development. The latent variables collectivelyshape an energy landscape that constrains the self-organising processes ofdevelopment so as to reliably produce a new individual of a certain type,providing a direct analogy to Waddingtons famous epigenetic landscape. Thegenerative model analogy accounts for the complex, distributed geneticarchitecture of most traits and the emergent robustness and evolvability ofdevelopmental processes. It also provides a new way to explain the independentselectability of specific traits, drawing on the idea of multiplexeddisentangled representations observed in artificial and neural systems andlends itself to formalisation.
基因组如何编码生物体的形态?基因组代码的本质是什么?常见的隐喻,如蓝图或程序,无法概括基因组与生物体形态之间复杂、间接和动态进化的关系,也无法概括产生这种关系的建设性互动过程。无论是处理经验数据,还是模拟基因组对形态的编码,这些隐喻都不容易形式化。在此,我们受机器学习和神经科学领域最新研究的启发,提出了一个新的类比:基因组编码生物体的生成模型。在这个方案中,通过与变异自动编码器类比,基因组并不直接编码生物体的形态或发育过程,而是包含一个压缩的潜变量空间。这些潜变量是指定编码蛋白质生化特性的 DNA 序列,以及反式调节因子与其目标序列元素之间的相对亲和力。这些变量共同构成了一个联结网络,其权重由进化学习算法编码,并通过发育过程解码。这些潜在变量共同形成了一个能量景观,它制约着发育的自组织过程,从而可靠地产生出某种类型的新个体,这与韦丁顿著名的表观遗传景观形成了直接的类比。该生成模型类比解释了大多数性状复杂、分布式的遗传结构,以及发育过程中出现的稳健性和可演化性。它还提供了一种新的方法来解释特定性状的独立可选择性,借鉴了在人工和神经系统中观察到的多路复用分散表征的思想,并适合形式化。
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arXiv - QuanBio - Other Quantitative Biology
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