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David A. Turner Peter Baillie‐Johnson Alfonso Martinez Arias 《BioEssays : news and reviews in molecular, cellular and developmental biology》2016,38(2):181-191
Understanding the mechanisms of early embryonic patterning and the timely allocation of specific cells to embryonic regions and fates as well as their development into tissues and organs, is a fundamental problem in Developmental Biology. The classical explanation for this process had been built around the notion of positional information. Accordingly the programmed appearance of sources of Morphogens at localized positions within a field of cells directs their differentiation. Recently, the development of organs and tissues from unpatterned and initially identical stem cells (adult and embryonic) has challenged the need for positional information and even the integrity of the embryo, for pattern formation. Here we review the emerging area of organoid biology from the perspective of Developmental Biology. We argue that the events underlying the development of these systems are not purely linked to “self‐organization,” as often suggested, but rather to a process of genetically encoded self‐assembly where genetic programs encode and control the emergence of biological structures. 相似文献
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Arik Kershenbaum Daniel T. Blumstein Marie A. Roch Çağlar Akçay Gregory Backus Mark A. Bee Kirsten Bohn Yan Cao Gerald Carter Cristiane Cäsar Michael Coen Stacy L. DeRuiter Laurance Doyle Shimon Edelman Ramon Ferrer‐i‐Cancho Todd M. Freeberg Ellen C. Garland Morgan Gustison Heidi E. Harley Chloé Huetz Melissa Hughes Julia Hyland Bruno Amiyaal Ilany Dezhe Z. Jin Michael Johnson Chenghui Ju Jeremy Karnowski Bernard Lohr Marta B. Manser Brenda McCowan Eduardo Mercado III Peter M. Narins Alex Piel Megan Rice Roberta Salmi Kazutoshi Sasahara Laela Sayigh Yu Shiu Charles Taylor Edgar E. Vallejo Sara Waller Veronica Zamora‐Gutierrez 《Biological reviews of the Cambridge Philosophical Society》2016,91(1):13-52
Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well‐known example of birdsong, other animals such as insects, amphibians, and mammals (including bats, rodents, primates, and cetaceans) also generate complex acoustic sequences. Occasionally, such as with birdsong, the adaptive role of these sequences seems clear (e.g. mate attraction and territorial defence). More often however, researchers have only begun to characterise – let alone understand – the significance and meaning of acoustic sequences. Hypotheses abound, but there is little agreement as to how sequences should be defined and analysed. Our review aims to outline suitable methods for testing these hypotheses, and to describe the major limitations to our current and near‐future knowledge on questions of acoustic sequences. This review and prospectus is the result of a collaborative effort between 43 scientists from the fields of animal behaviour, ecology and evolution, signal processing, machine learning, quantitative linguistics, and information theory, who gathered for a 2013 workshop entitled, ‘Analysing vocal sequences in animals’. Our goal is to present not just a review of the state of the art, but to propose a methodological framework that summarises what we suggest are the best practices for research in this field, across taxa and across disciplines. We also provide a tutorial‐style introduction to some of the most promising algorithmic approaches for analysing sequences. We divide our review into three sections: identifying the distinct units of an acoustic sequence, describing the different ways that information can be contained within a sequence, and analysing the structure of that sequence. Each of these sections is further subdivided to address the key questions and approaches in that area. We propose a uniform, systematic, and comprehensive approach to studying sequences, with the goal of clarifying research terms used in different fields, and facilitating collaboration and comparative studies. Allowing greater interdisciplinary collaboration will facilitate the investigation of many important questions in the evolution of communication and sociality. 相似文献
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Mikael Mokkonen Carita Lindstedt 《Biological reviews of the Cambridge Philosophical Society》2016,91(4):1020-1035
Through dishonest signals or actions, individuals often misinform others to their own benefit. We review recent literature to explore the evolutionary and ecological conditions for deception to be more likely to evolve and be maintained. We identify four conditions: (1) high misinformation potential through perceptual constraints of perceiver; (2) costs and benefits of responding to deception; (3) asymmetric power relationships between individuals and (4) exploitation of common goods. We discuss behavioural and physiological mechanisms that form a deception continuum from secrecy to overt signals. Deceptive tactics usually succeed by being rare and are often evolving under co‐evolutionary arms races, sometimes leading to the evolution of polymorphism. The degree of deception can also vary depending on the environmental conditions. Finally, we suggest a conceptual framework for studying deception and highlight important questions for future studies. 相似文献
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现有基于地点的校园环境安全研究主要以客观的案件数据为研究对象,未能揭示学生安全感与特定地点环境因素的内在联系。利用Maptionnaire问卷平台,以广州大学城为例,通过公众参与地理信息系统分析学生对校园交通、事故和人身财产方面的环境安全感评价及其空间分布。研究发现学生整体安全感评价较低,评价低的地点集中在高校周边公园绿地、城中村、体育场馆,评价高的地点主要位于高校用地范围内。结合对评价低的地点进行实地调研,基于环境设计预防犯罪(crime prevention through environmental design,简称CPTED)理论分析影响学生安全感的环境因素,针对相关问题提出对应的提升学生安全感的环境设计优化建议。 相似文献
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目的:基于专利信息对我国3D生物打印技术的发展态势进行分析。方法:本文基于incopat和TDA两大专利分析平台对中国3D生物打印的专利发展态势从专利统计分析与专利计量分析两个维度进行了跨库组合分析,总结了我国3D生物打印技术的专利前沿动态特征。结果:研究发现,中国3D生物打印技术从2013年起进入专利激增态势,中国作为潜在技术市场的国际竞争日趋激烈,本文还从专利申请人、技术领域分布、专利文本关键词聚类、专利价值、专利合作等方面进行了深度挖掘分析。结论:最后,结合对中国3D生物打印专利申请人的专利产业化案例深度分析与专利特征总结,为中国3D生物打印技术发展与产业化提供参考建议。 相似文献
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菊方翅网蝽Corythucha marmorata(Uhler,1878)是我国新近发现的外来入侵害虫,研究明确菊方翅网蝽在我国的潜在分布范围对其监测预警及科学防控具有重要意义。本研究根据菊方翅网蝽的地理分布数据及相关环境变量,运用Maxent生态位模型与ArcGIS预测了菊方翅网蝽在中国的潜在地理分布范围。预测结果表明:菊方翅网蝽在我国的适生区主要分布于100°~125°E,20°~40°N的亚热带、暖温带区域,其中高适生区主要集中在长江中下游地区,包括浙江、江苏、湖南、上海大部分地区、安徽南部、湖北南部、江西西部及南部、贵州东部、福建东部、广西北部、山东中部、河南南部以及重庆、台湾局部;此外,极端气温、平均气温、最干月份降雨量对菊方翅网蝽的潜在分布影响较大。菊方翅网蝽已在我国成功入侵并迅速蔓延成灾,应在疫区边缘地带加强监测,并采取措施防止其进一步扩散。 相似文献