Meeting: Predicting vertebrate responses to a changing environment: modeling genomes to phenomes to populations (G2P2PoP), Northern Arizona University, March, 2018

生物学中的一个重大挑战是理解基因、环境和表型之间的机械相互关系，以及这些相互作用如何在种群水平上出现。对这些相互关系的理解的局限性限制了预测生物对不断变化的环境的反应的能力。该项目包括一次研讨会，将来自数学建模和生物学领域的科学家聚集在一起，讨论揭开基因、表型和环境之间联系的新途径和技术。研讨会的具体目标包括：确定科学家可以获取的数据资源；综合环境驱动因素如何影响基因组-种群层次结构；以及为研究交流制定战略、优先事项和目标。参与者之间的网络将使多层次机械模型的开发成为可能，这些模型整合了现有和新的数据，以预测脊椎动物对环境应激源的反应。在讲习班的参与者中，约有一半是职业生涯早期的人，超过一半是女性，许多是代表性不足的少数族裔。参与者的科学、区域、性别和种族多样性将扩大参与者的参与，并使参与者接触到不同的社会和科学文化。通过综合经验科学和建模，可以产生新的知识，并将其用于向关键利益攸关方提供信息，包括政策制定者、土地管理人员和普通公众。最后，研讨会将促进教学、培训和学习，从而提高公众的科学素养和公众对科学技术的参与。这次研讨会将通过促进从基因组到种群的知识的整合和合成来促进发现和理解。这一理解对于建立预测动物对快速环境变化的恢复力和脆弱性的量化模型至关重要。跨生物组织层次的建模本质上是综合性、跨学科和变革性的。拟议研讨会的目标是将在生物组织不同级别工作的生物学家和模型师联合起来，他们通常不进行互动。其目标是建立一个新的合作网络，由拥有从基因组到种群的专业知识的科学家组成，以促进开发新的量化方法，以应对预测脊椎动物物种和种群将如何应对不断变化的环境的紧迫挑战。主要活动包括：著名环境科学家的讲座和讨论；促进数学建模人员和生物学家之间的讨论和互动；对参与者进行教育，使他们了解在各种环境变化情景下按区域预测的非生物驱动因素的变化；以及通过参与实验室之间的交流建立培训机会。

A grand challenge in biology is developing an understanding of the mechanistic interrelationships among genes, environment, and phenotype, and how these interactions emerge at the population level. Limits in the understanding of these inter-relationshps constrain the ability to predict organismal responses to changing environments. This project involves a workshop to bring together scientists from mathematical modeling and biological fields that do not normally interact to discuss novel approaches and techniques to unraveling genotype to phenotype to environment connections. Specific workshop goals include: Identifying data resources that scientists can access; synthesizing how environmental drivers impact the genome-population hierarchy; and generating strategies, priorities and goals for research exchanges. Networking among participants will enable development of multilevel mechanistic models that integrate existing and new data to predict responses by vertebrates to environmental stressors. Of the workshop participants, about half are early career, over half are female, and many are underrepresented minorities. Scientific, regional, gender and ethnic diversity of the participants will broaden participation and expose participants to diverse social and scientific cultures. Through the synthesis of empirical science and modeling, new knowledge can be generated and used to inform key stakeholders including policymakers, land managers, and the general public. Finally, the workshop will promote teaching, training, and learning and thereby increase public scientific literacy and public engagement with science and technology.This workshop will advance discovery and understanding by fostering integration and synthesis of knowledge spanning from genomes to populations. This understanding is essential to the creation of quantitative models for predicting animal resilience and vulnerability to rapid environmental change. Modeling across levels of biological organization is inherently integrative, interdisciplinary and transformative. The objective of the proposed workshop is to coalesce biologists and modelers working at different levels of biological organization who typically do not interact. The goal is to establish a new collaborative network of scientists with expertise that spans from genomes to populations to facilitate development of novel quantitative approaches to address the urgent challenge of predicting how vertebrate species and populations will respond to a changing environment. Primary activities include: lectures by and discussion with prominent environmental scientists; fostering of discussion and interaction among mathematical modelers and organismal scientists; education of participants in predicted changes of abiotic drivers under various environmental change scenarios and by region; and establishment of training opportunities through exchanges between participating laboratories.