• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

将计算机视觉与分子神经生物学相结合,弥合行为与大脑之间的差距。

Integrating computer vision and molecular neurobiology to bridge the gap between behavior and the brain.

机构信息

Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.

Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.

出版信息

Curr Opin Insect Sci. 2024 Dec;66:101259. doi: 10.1016/j.cois.2024.101259. Epub 2024 Sep 5.

DOI:10.1016/j.cois.2024.101259
PMID:39244088
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11611617/
Abstract

The past decade of social insect research has seen rapid development in automated behavioral tracking and molecular profiling of the nervous system, two distinct but complementary lines of inquiry into phenotypic variation across individuals, colonies, populations, and species. These experimental strategies have developed largely in parallel, as automated tracking generates a continuous stream of behavioral data, while, in contrast, 'omics-based profiling provides a single 'snapshot' of the brain. Better integration of these approaches applied to studying variation in social behavior will reveal the underlying genetic and neurobiological mechanisms that shape the evolution and diversification of social life. In this review, we discuss relevant advances in both fields and propose new strategies to better elucidate the molecular and behavioral innovations that generate social life.

摘要

过去十年的社会性昆虫研究见证了自动化行为追踪和神经系统分子分析这两个领域的飞速发展,这两个领域分别从个体、群体、种群和物种等不同层面探究表型变化,是两种截然不同但又互为补充的研究方法。这两种实验策略的发展基本是平行的,因为自动化追踪产生了源源不断的行为数据,而与之相反,基于“组学”的分析则提供了大脑的单一“快照”。将这些方法更好地整合应用于研究社会行为的变化,将揭示出塑造社会生活进化和多样化的潜在遗传和神经生物学机制。在这篇综述中,我们讨论了这两个领域的相关进展,并提出了新的策略,以更好地阐明产生社会生活的分子和行为创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4814/11611617/7392f4d30375/nihms-2026835-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4814/11611617/710505efbb45/nihms-2026835-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4814/11611617/7392f4d30375/nihms-2026835-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4814/11611617/710505efbb45/nihms-2026835-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4814/11611617/7392f4d30375/nihms-2026835-f0002.jpg

相似文献

1
Integrating computer vision and molecular neurobiology to bridge the gap between behavior and the brain.将计算机视觉与分子神经生物学相结合,弥合行为与大脑之间的差距。
Curr Opin Insect Sci. 2024 Dec;66:101259. doi: 10.1016/j.cois.2024.101259. Epub 2024 Sep 5.
2
Genetics and Evolution of Social Behavior in Insects.昆虫社会行为的遗传学与演化。
Annu Rev Genet. 2017 Nov 27;51:219-239. doi: 10.1146/annurev-genet-120116-024515. Epub 2017 Aug 30.
3
Progress in the use of genetic methods to study insect behavior outside Drosophila.在使用遗传方法研究果蝇以外的昆虫行为方面的进展。
Curr Opin Insect Sci. 2019 Dec;36:45-56. doi: 10.1016/j.cois.2019.08.001. Epub 2019 Aug 9.
4
Lifespan divergence between social insect castes: challenges and opportunities for evolutionary theories of aging.社会性昆虫品级间寿命的分歧:衰老进化理论的挑战与机遇。
Curr Opin Insect Sci. 2016 Aug;16:76-80. doi: 10.1016/j.cois.2016.05.012. Epub 2016 May 21.
5
A molecular toolkit for superorganisms.超级生物的分子工具包。
Trends Genet. 2021 Sep;37(9):846-859. doi: 10.1016/j.tig.2021.05.005. Epub 2021 Jun 8.
6
The neurobiology of insect olfaction: sensory processing in a comparative context.昆虫嗅觉的神经生物学:比较语境下的感觉处理。
Prog Neurobiol. 2011 Nov;95(3):427-47. doi: 10.1016/j.pneurobio.2011.09.007. Epub 2011 Sep 24.
7
How the humble insect brain became a powerful experimental model system.不起眼的昆虫大脑是如何成为一个强大的实验模型系统的。
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2017 Nov;203(11):879-889. doi: 10.1007/s00359-017-1206-4. Epub 2017 Aug 22.
8
Evolutionary themes in the neurobiology of social cognition.社会认知神经生物学中的进化主题。
Curr Opin Neurobiol. 2014 Oct;28:22-7. doi: 10.1016/j.conb.2014.06.005. Epub 2014 Jun 28.
9
The evolution of insect societies.昆虫社会的进化
Endeavour. 1997;21(3):114-20. doi: 10.1016/s0160-9327(97)80220-7.
10
Neurogenomics and the role of a large mutational target on rapid behavioral change.神经基因组学以及大突变靶点在快速行为变化中的作用。
Biol Direct. 2016 Nov 8;11(1):60. doi: 10.1186/s13062-016-0162-1.

引用本文的文献

1
Genetic variation influences food-sharing sociability in honey bees.基因变异影响蜜蜂的食物共享社交行为。
PLoS Biol. 2025 Sep 16;23(9):e3003367. doi: 10.1371/journal.pbio.3003367. eCollection 2025 Sep.

本文引用的文献

1
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.Keypoint-MoSeq:通过将点跟踪与姿势动态联系起来来解析行为。
Nat Methods. 2024 Jul;21(7):1329-1339. doi: 10.1038/s41592-024-02318-2. Epub 2024 Jul 12.
2
NAPS: Integrating pose estimation and tag-based tracking.NAPS:整合姿态估计与基于标签的跟踪
Methods Ecol Evol. 2023 Oct;14(10):2541-2548. doi: 10.1111/2041-210X.14201. Epub 2023 Aug 28.
3
Search Behavior of Individual Foragers Involves Neurotransmitter Systems Characteristic for Social Scouting.
个体觅食者的搜索行为涉及社会侦察特有的神经递质系统。
Front Insect Sci. 2021 Jun 4;1:664978. doi: 10.3389/finsc.2021.664978. eCollection 2021.
4
Developmental transcriptomes predict adult social behaviours in the socially flexible sweat bee, Lasioglossum baleicum.发育转录组可预测具有社会灵活性的汗蜂(Lasioglossum baleicum)的成年社会行为。
Mol Ecol. 2023 Dec 18:e17244. doi: 10.1111/mec.17244.
5
Social complexity, life-history and lineage influence the molecular basis of castes in vespid wasps.社会复杂性、生活史和谱系影响胡蜂蜂群中不同等级的分子基础。
Nat Commun. 2023 Feb 24;14(1):1046. doi: 10.1038/s41467-023-36456-6.
6
Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior.通过条形码和人工智能自动监测蜜蜂,揭示了单一社交行为背后存在两个截然不同的社会网络。
Sci Rep. 2023 Jan 27;13(1):1541. doi: 10.1038/s41598-022-26825-4.
7
Socially transferred materials: why and how to study them.社会性传递物质:研究它们的原因和方法。
Trends Ecol Evol. 2023 May;38(5):446-458. doi: 10.1016/j.tree.2022.11.010. Epub 2022 Dec 19.
8
Co-expression Gene Networks and Machine-learning Algorithms Unveil a Core Genetic Toolkit for Reproductive Division of Labour in Rudimentary Insect Societies.共表达基因网络和机器学习算法揭示了原始昆虫社会中生殖分工的核心遗传工具包。
Genome Biol Evol. 2023 Jan 4;15(1). doi: 10.1093/gbe/evac174.
9
Behavioral variation across the days and lives of honey bees.蜜蜂在不同日子和生命阶段的行为变化。
iScience. 2022 Aug 8;25(9):104842. doi: 10.1016/j.isci.2022.104842. eCollection 2022 Sep 16.
10
Isolation disrupts social interactions and destabilizes brain development in bumblebees.隔离破坏了大黄蜂的社会互动并破坏了大脑发育。
Curr Biol. 2022 Jun 20;32(12):2754-2764.e5. doi: 10.1016/j.cub.2022.04.066. Epub 2022 May 17.