Genetic Mechanisms and Evolution

遗传机制和进化

• 批准号: 10632119
• 负责人: John Novembre
• 金额: $ 84.89万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10632119
• 关键词: Evolution; Genetic

Recent technological advances have transformed genetics research, and social changes have caused major shifts in best practices for graduate education, research training, and mentoring. We propose an innovative interdisciplinary predoctoral T32 program, Genetic Mechanisms and Evolution (GME), which is specifically crafted to meet the challenges and opportunities presented by these changes. The GME program will train a diverse group of world-class Ph.D. scientists in molecular, statistical, and evolutionary genetics research who will serve as the next generation of innovative scientific leaders in genetics. Training will ensure development of multidisciplinary competence across these fields, with a strong foundation in quantitative and computational analysis for every student. The GME training program leverages the world-class strength of the University of Chicago in genetics. Mentors include 56 faculty with extraordinary records of research and graduate training, drawn from 14 departments across the fields of evolutionary, statistical, and molecular genetics. Further, the University’s unique organizational structure brings all areas of genetics into a single division and makes possible the interdisciplinary program we propose. Trainees for 18 funded positions will be selectively drawn from 9 graduate programs across disciplinary areas. The pool of potential trainees is extraordinarily well-qualified and diverse (49% women and 26% URM over the last 5 years). Trainees will be funded in years 2-3 of their studies, but they will participate in training and advising activities from matriculation through graduation. A new interdisciplinary core course and breadth requirements will develop student foundations in molecular, statistical, and evolutionary genetics and build strong skills in programming and statistics. Specialized workshops and an annual hackathon will provide further rigorous training in computational and quantitative analysis of modern genetic data. Formal writing instruction along with workshops in grant-writing and oral presentation skills will train scientists for effective communication and help ameliorate disparities in preparation among students from diverse backgrounds. Individual development plans, mentor-mentee contracts, faculty mentor training, and peer mentoring will facilitate trainee success and allow growth of a mutually supportive community of faculty and students. Participation in a pioneering career development program will support trainees in finding and preparing for a variety of post-PhD career paths. Recruitment and retention of an increasingly diverse group of students will be further strengthened by participating in pipeline and outreach programs, bridge activities for new students, and faculty training to enhance the inclusivity of the training environment and admissions process. All these activities -- building on the strengths of an exceptional cadre of trainees, trainers and institutional support – will allow us to recruit and train the future leaders of 21st century genetics research.

最近的技术进步改变了遗传学研究，社会变革引起了重大 我们提出了创新的 跨学科的T32跨学科，遗传机制和进化（GME），这是特别是专门的 精心设计这些变化带来的挑战和机遇。 GME计划将训练 多元化的世界一流博士团体分子，统计和进化遗传学的科学家 研究的研究将成为下一代遗传学的创新科学领袖。培训意志 确保在这些领域的跨学科能力发展，并具有坚实的基础 每个学生的定量和计算分析。 GME培训计划利用了芝加哥大学遗传学的世界一流力量。 导师包括56位教职员工，并具有非凡的研究和研究生培训记录，摘自14 进化，统计和分子遗传学领域的部门。此外，大学的 独特的组织结构将遗传学的所有领域带入一个分裂，使得 我们提出的跨学科计划。从9个资助职位的学员将有选择性地提取 跨学科领域的研究生课程。潜在学员的库非常合理， 多样化（过去5年中，女性为49％和26％的URM）。 学员将在2 - 3年的学习中获得资助，但他们将参加培训和咨询 从矩阵到毕业的活动。新的跨学科核心课程和广度要求 将开发分子，统计和进化遗传学的学生基础，并在 编程和统计。专业研讨会和年度黑客马拉松将提供进一步的严格 对现代遗传数据的计算和定量分析培训。正式的写作指导 赠款和口头演示技巧的讲习班将培训科学家进行有效的沟通并帮助 在潜水员背景的学生中进行准备方面的分布。个人发展计划， 心理委员会的合同，教师心理培训和同伴心理将有助于学员的成功，并允许 相互支持的教师和学生社区的成长。参与开创性职业 开发计划将支持受训者寻找和准备各种PHD后职业道路。 招募和保留越来越多样化的学生将进一步加强 参加管道和外展计划，新学生的桥梁活动以及教师培训 增强培训环境和入学过程的包容性。所有这些活动 - 建立 杰出学员，培训师和机构支持的杰出干部的优势将使我们能够招募和 培训21世纪遗传学研究的未来领导者。

项目成果

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.

• DOI: 10.1186/s13059-023-03067-9
• 发表时间: 2023-10-19
• 期刊: GENOME BIOLOGY
• 影响因子: 12.3
• 作者: Carbonetto, Peter;Luo, Kaixuan;Sarkar, Abhishek;Hung, Anthony;Tayeb, Karl;Pott, Sebastian;Stephens, Matthew
• 通讯作者: Stephens, Matthew

Genomic signatures of convergent shifts to plunge-diving behavior in birds.

• DOI: 10.1038/s42003-023-05359-z
• 发表时间: 2023-10-24
• 期刊: COMMUNICATIONS BIOLOGY
• 影响因子: 5.9
• 作者: Eliason, Chad M.;Mellenthin, Lauren E.;Hains, Taylor;Mccullough, Jenna M.;Pirro, Stacy;Andersen, Michael J.;Hackett, Shannon J.
• 通讯作者: Hackett, Shannon J.

The Complete Genome Sequence of Cyanopsitta spixii, the Spix's Macaw.

• DOI: 10.56179/001c.37839
• 发表时间: 2022
• 期刊: Biodiversity genomes
• 作者: Hains T;Pirro S;Bates J;Hackett S
• 通讯作者: Hackett S

The Complete Genome Sequences of 19 Species of Snipes (Scolopacidae, Charadriiformes, Aves).

19种鹬（鹬科、鹬形目、鸟纲）的完整基因组序列。

• DOI: 10.56179/001c.74632
• 发表时间: 2023
• 期刊: Biodiversity genomes
• 作者: Capurucho,JoãoMarcosG;Hains,Taylor;Pirro,Stacy;Bates,John;Hackett,Shannon
• 通讯作者: Hackett,Shannon

Butterfly mimicry rings run in circles.

蝴蝶拟态环绕圈运行。

• DOI: 10.1073/pnas.2220680120
• 发表时间: 2023-01-24
• 期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• 影响因子: 11.1
• 作者: Sheikh, Sofia I.;VanKuren, Nicholas W.;Kronforst, Marcus R.
• 通讯作者: Kronforst, Marcus R.