Fine structure of mushroom bodies and the brain in Sthenelais boa (Phyllodocida, Annelida)

作者
Patrick Beckers,Carla Pein,Thomas Bartolomaeus
出处
期刊:Zoomorphology [Springer Science+Business Media]
卷期号:141 (1): 19-36 被引量:7
标识
DOI:10.1007/s00435-021-00546-0
摘要

Abstract Mushroom bodies are known from annelids and arthropods and were formerly assumed to argue for a close relationship of these two taxa. Since molecular phylogenies univocally show that both taxa belong to two different clades in the bilaterian tree, similarity must either result from convergent evolution or from transformation of an ancestral mushroom body. Any morphological differences in the ultrastructure and composition of mushroom bodies could thus indicate convergent evolution that results from similar functional constraints. We here study the ultrastructure of the mushroom bodies, the glomerular neuropil, glia-cells and the general anatomy of the nervous system in Sthenelais boa. The neuropil of the mushroom bodies is composed of densely packed, small diameter neurites that lack individual or clusterwise glia enwrapping. Neurites of other regions of the brain are much more prominent, are enwrapped by glia-cell processes and thus can be discriminated from the neuropil of the mushroom bodies. The same applies to the respective neuronal somata. The glomerular neuropil of insects and annelids is a region of higher synaptic activity that result in a spheroid appearance of these structures. However, while these structures are sharply delimited from the surrounding neuropil of the brain by glia enwrapping in insects, this is not the case in Sthenelais boa. Although superficially similar, there are anatomical differences in the arrangement of glia-cells in the mushroom bodies and the glomerular neuropil between insects and annelids. Hence, we suppose that the observed differences rather evolved convergently to solve similar functional constrains than by transforming an ancestral mushroom body design.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
可耐的孤丝完成签到 ,获得积分10
1秒前
宿江完成签到 ,获得积分10
1秒前
1秒前
devilito发布了新的文献求助30
1秒前
1秒前
2秒前
卡卡西的猫完成签到 ,获得积分10
3秒前
3秒前
3秒前
研友_85YNe8完成签到,获得积分10
3秒前
4秒前
在水一方应助8899采纳,获得10
5秒前
5秒前
想发paper的金鱼完成签到,获得积分10
5秒前
5秒前
X悦发布了新的文献求助10
5秒前
生动若之发布了新的文献求助10
6秒前
Cc发布了新的文献求助10
6秒前
没烦恼完成签到,获得积分10
7秒前
LLLLL完成签到,获得积分20
7秒前
妮妮完成签到,获得积分10
8秒前
qzy发布了新的文献求助10
8秒前
8秒前
neo发布了新的文献求助10
10秒前
10秒前
马里奥好难完成签到 ,获得积分10
10秒前
dorLi发布了新的文献求助20
10秒前
刘明生发布了新的文献求助10
10秒前
11秒前
11秒前
惊鸿客完成签到,获得积分10
12秒前
ZouYX完成签到,获得积分10
13秒前
13秒前
艾妮吗发布了新的文献求助20
13秒前
14秒前
15秒前
15秒前
kendrick677发布了新的文献求助10
16秒前
ding应助视野胤采纳,获得10
16秒前
所所应助沧浪江采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734423
求助须知:如何正确求助?哪些是违规求助? 9284806
关于积分的说明 20166793
捐赠科研通 7312284
什么是DOI,文献DOI怎么找? 3304642
关于科研通互助平台的介绍 2457280
邀请新用户注册赠送积分活动 2313855