3D structural analysis of bacteriocytes in a deep-sea mussel <i>Gigantidas platifrons</i> with methanotrophic symbionts

贻贝 生物 生态学 动物
作者
Zhaoshan Zhong,Wenhao Sun,Yan Zhang,Xixia Li,Hao Wang,Inge Seim,Hao Chen,Li Zhou,Chao Lian,C. M. Liu,Huan Zhang,Yan Sun,Yun Feng,Lei Cao,Minxiao Wang,Fei Sun,Chaolun Li
标识
DOI:10.59717/j.xinn-geo.2024.100110
摘要

<p>Deep-sea mussels inhabit extreme environments through symbiosis with chemosynthetic bacteria, yet the three-dimensional (3D) ultrastructure of their bacteriocytes—the fundamental symbiotic units—remains elusive. This study employed advanced volume electron microscopy (vEM) to generate high-resolution, 3D models of bacteriocytes, revealing insights into the structural basis of stable symbiosis. We identified two distinct methanotrophic bacterial (MOB) morphotypes within the bacteriocytes: MOB<sup>hd</sup> (high-density granule content) and MOB<sup>ld</sup> (low-density granule content). MOB<sup>hd</sup>, located in the apical region, undergoes lysis for nutrient release, while MOB<sup>ld</sup>, situated in the interior, proliferates to maintain the symbiont population. Comparative analyses between gill and non-gill bacteriocytes revealed differential patterns of symbiont management, with gill bacteriocytes exhibiting more organized MOB distribution and orderly lysis. The 3D model unveiled a novel channel membrane system, potentially enhancing intracellular symbiont connectivity and facilitating distinct micro-niche occupation within the host cell. This organized structure maintains stable symbiosis, particularly in gill tissues. These findings advance our understanding of cellular mechanisms in symbiosis and adaptive strategies in extreme deep-sea environments.</p>
最长约 10秒,即可获得该文献文件

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
你真是那个啊完成签到,获得积分10
1秒前
啦啦完成签到 ,获得积分10
1秒前
2秒前
2秒前
clz发布了新的文献求助10
2秒前
lzs发布了新的文献求助10
2秒前
zz完成签到,获得积分10
3秒前
王hu发布了新的文献求助10
5秒前
pluto应助kavins凯旋采纳,获得10
5秒前
7秒前
Shayulajiao发布了新的文献求助10
7秒前
8秒前
9秒前
Nana发布了新的文献求助30
10秒前
北海完成签到,获得积分10
10秒前
无情的南琴完成签到,获得积分10
10秒前
fanscywang完成签到,获得积分10
10秒前
ChaosTenet完成签到,获得积分10
11秒前
斯文败类应助一步一步采纳,获得10
11秒前
123发布了新的文献求助10
11秒前
haha发布了新的文献求助10
11秒前
12秒前
12秒前
12秒前
12秒前
13秒前
jin完成签到,获得积分10
13秒前
dq发布了新的文献求助10
13秒前
阳光问安完成签到,获得积分10
13秒前
15秒前
虞头星星完成签到 ,获得积分10
16秒前
Harbing发布了新的文献求助10
17秒前
巫剑完成签到,获得积分10
17秒前
儒雅谷芹完成签到,获得积分10
17秒前
KasenDen发布了新的文献求助10
17秒前
19秒前
19秒前
19秒前
revew666发布了新的文献求助10
19秒前
20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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357893
求助须知:如何正确求助?哪些是违规求助? 8172394
关于积分的说明 17207982
捐赠科研通 5413315
什么是DOI,文献DOI怎么找? 2865033
邀请新用户注册赠送积分活动 1842569
关于科研通互助平台的介绍 1690663