海马体神经元数量的系统发育和生态学痕迹。

IF 3.8 Q2 MULTIDISCIPLINARY SCIENCES
PNAS nexus Pub Date : 2025-08-13 eCollection Date: 2025-09-01 DOI:10.1093/pnasnexus/pgaf261
Jovana Maliković, Juan L Cantalapiedra, Lorenzo Vinciguerra, Katja Schönbächler, Ana Luiza F Destro, Jennifer Rodger, Marielle Jörimann, Liora Las, Stephen G Hörpel, David P Wolfer, Lutz Slomianka, Irmgard Amrein
{"title":"海马体神经元数量的系统发育和生态学痕迹。","authors":"Jovana Maliković, Juan L Cantalapiedra, Lorenzo Vinciguerra, Katja Schönbächler, Ana Luiza F Destro, Jennifer Rodger, Marielle Jörimann, Liora Las, Stephen G Hörpel, David P Wolfer, Lutz Slomianka, Irmgard Amrein","doi":"10.1093/pnasnexus/pgaf261","DOIUrl":null,"url":null,"abstract":"<p><p>It is not known how selective pressures shape the numbers of interconnected neurons in defined neural circuits during the phylogeny of mammals. Consequently, models of function are without phylogenetic bounds, and species differences in neuronal makeup cannot be linked to ecological factors that generate selective pressures. Based on data from 65 species belonging to 11 orders, we here provide an analysis of five interconnected neuron populations in the circuitry of the hippocampus, the forebrain region encoding episodic memories. Related species tend to share traits in the hippocampal makeup, with distinct differences between clades. Phylogenetic signals result in the clustering of related species according to relative neuron numbers, but signal strengths allow the clusters to overlap. Tree-based methods show that neuron numbers can be explained by a selective mechanism that constrains them close to an across-species mean. Neuron numbers concerned with hippocampal input are more constrained than those providing output. An ancestral state estimate is provided, and species close to this phenotype are identified. Of the ecological factors tested, food, in terms of diet breadth, leaves its trace in many neuron numbers and strongly so in hippocampal input populations. Home range effects are more selective and relate to neuron ratios rather than neuron numbers. Phylogenetic constraints and ecologically guided relations seem necessary for the appropriate function of hippocampal input across a wide range of species.</p>","PeriodicalId":74468,"journal":{"name":"PNAS nexus","volume":"4 9","pages":"pgaf261"},"PeriodicalIF":3.8000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12398207/pdf/","citationCount":"0","resultStr":"{\"title\":\"Traces of phylogeny and ecology in hippocampal neuron numbers.\",\"authors\":\"Jovana Maliković, Juan L Cantalapiedra, Lorenzo Vinciguerra, Katja Schönbächler, Ana Luiza F Destro, Jennifer Rodger, Marielle Jörimann, Liora Las, Stephen G Hörpel, David P Wolfer, Lutz Slomianka, Irmgard Amrein\",\"doi\":\"10.1093/pnasnexus/pgaf261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>It is not known how selective pressures shape the numbers of interconnected neurons in defined neural circuits during the phylogeny of mammals. Consequently, models of function are without phylogenetic bounds, and species differences in neuronal makeup cannot be linked to ecological factors that generate selective pressures. Based on data from 65 species belonging to 11 orders, we here provide an analysis of five interconnected neuron populations in the circuitry of the hippocampus, the forebrain region encoding episodic memories. Related species tend to share traits in the hippocampal makeup, with distinct differences between clades. Phylogenetic signals result in the clustering of related species according to relative neuron numbers, but signal strengths allow the clusters to overlap. Tree-based methods show that neuron numbers can be explained by a selective mechanism that constrains them close to an across-species mean. Neuron numbers concerned with hippocampal input are more constrained than those providing output. An ancestral state estimate is provided, and species close to this phenotype are identified. Of the ecological factors tested, food, in terms of diet breadth, leaves its trace in many neuron numbers and strongly so in hippocampal input populations. Home range effects are more selective and relate to neuron ratios rather than neuron numbers. Phylogenetic constraints and ecologically guided relations seem necessary for the appropriate function of hippocampal input across a wide range of species.</p>\",\"PeriodicalId\":74468,\"journal\":{\"name\":\"PNAS nexus\",\"volume\":\"4 9\",\"pages\":\"pgaf261\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12398207/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PNAS nexus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/pnasnexus/pgaf261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PNAS nexus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/pnasnexus/pgaf261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

目前尚不清楚在哺乳动物的系统发育过程中,选择压力如何影响特定神经回路中相互连接的神经元的数量。因此,功能模型没有系统发育界限,神经元组成的物种差异不能与产生选择压力的生态因素联系起来。基于11目65个物种的数据,我们分析了海马回路中5个相互连接的神经元群,海马是前脑编码情景记忆的区域。相关物种往往在海马体组成上有共同的特征,在进化枝之间有明显的差异。系统发育信号导致相关物种根据相对神经元数量聚类,但信号强度允许簇重叠。基于树的方法表明,神经元数量可以通过一种选择机制来解释,这种机制将它们限制在接近跨物种平均值的水平。与海马输入有关的神经元数量比提供输出的神经元数量更受限制。提供了祖先状态估计,并确定了接近该表型的物种。在被测试的生态因素中,就饮食的广度而言,食物在许多神经元数量上留下了痕迹,在海马体输入数量上也留下了强烈的痕迹。远距效应更具选择性,与神经元比例有关,而与神经元数量无关。系统发育约束和生态引导关系似乎是海马体输入在广泛物种中的适当功能所必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traces of phylogeny and ecology in hippocampal neuron numbers.

It is not known how selective pressures shape the numbers of interconnected neurons in defined neural circuits during the phylogeny of mammals. Consequently, models of function are without phylogenetic bounds, and species differences in neuronal makeup cannot be linked to ecological factors that generate selective pressures. Based on data from 65 species belonging to 11 orders, we here provide an analysis of five interconnected neuron populations in the circuitry of the hippocampus, the forebrain region encoding episodic memories. Related species tend to share traits in the hippocampal makeup, with distinct differences between clades. Phylogenetic signals result in the clustering of related species according to relative neuron numbers, but signal strengths allow the clusters to overlap. Tree-based methods show that neuron numbers can be explained by a selective mechanism that constrains them close to an across-species mean. Neuron numbers concerned with hippocampal input are more constrained than those providing output. An ancestral state estimate is provided, and species close to this phenotype are identified. Of the ecological factors tested, food, in terms of diet breadth, leaves its trace in many neuron numbers and strongly so in hippocampal input populations. Home range effects are more selective and relate to neuron ratios rather than neuron numbers. Phylogenetic constraints and ecologically guided relations seem necessary for the appropriate function of hippocampal input across a wide range of species.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.80
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信