多细胞性和细胞分化的进化专题讨论会:利用新兴模型系统连接进化细胞生物学和计算建模。

IF 1.8 4区 生物学 Q3 BIOLOGY Biology Open Pub Date : 2024-07-15 Epub Date: 2024-10-07 DOI:10.1242/bio.061720
Núria Ros-Rocher
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引用次数: 0

摘要

多细胞性和细胞分化的进化 "研讨会是欧洲多细胞生物进化论 2024 年会议的一部分,于 6 月 25-28 日在赫尔辛基(芬兰)举行,会议讨论了真核生物中多细胞性和细胞分化进化的分子和机理基础的最新进展。100 多名与会者参加了此次研讨会,10 位处于不同职业阶段的发言人汇聚一堂。演讲内容涉及发育生物学、进化细胞生物学、比较基因组学、计算生物学和生态学等领域,并使用了动物、原生动物、藻类和数学模型。本次研讨会为从事不同系统研究的研究人员提供了一次难得的跨学科对话机会,特别是在促进合作和协调研究新兴模式物种的战略方面。此外,会议还为促进该领域的早期职业研究人员提供了机会,并就正在进行的工作和未发表的成果展开了讨论。在这篇会议回顾中,我们旨在促进研究工作,捕捉会议精神,并介绍在这个充满活力、不断发展和开放的社区中讨论的主要议题。
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The evolution of multicellularity and cell differentiation symposium: bridging evolutionary cell biology and computational modelling using emerging model systems.

'The evolution of multicellularity and cell differentiation' symposium, organized as part of the EuroEvoDevo 2024 meeting on June 25-28th in Helsinki (Finland), addressed recent advances on the molecular and mechanistic basis for the evolution of multicellularity and cell differentiation in eukaryotes. The symposium involved over 100 participants and brought together 10 speakers at diverse career stages. Talks covered various topics at the interface of developmental biology, evolutionary cell biology, comparative genomics, computational biology, and ecology using animal, protist, algal and mathematical models. This symposium offered a unique opportunity for interdisciplinary dialog among researchers working on different systems, especially in promoting collaborations and aligning strategies for studying emerging model species. Moreover, it fostered opportunities to promote early career researchers in the field and opened discussions of ongoing work and unpublished results. In this Meeting Review, we aim to promote the research, capture the spirit of the meeting, and present key topics discussed within this dynamic, growing and open community.

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来源期刊
Biology Open
Biology Open BIOLOGY-
CiteScore
3.90
自引率
0.00%
发文量
162
审稿时长
8 weeks
期刊介绍: Biology Open (BiO) is an online Open Access journal that publishes peer-reviewed original research across all aspects of the biological sciences. BiO aims to provide rapid publication for scientifically sound observations and valid conclusions, without a requirement for perceived impact.
期刊最新文献
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