Evaluation of Sample Preservation Approaches for Better Insect Microbiome Research According to Next-Generation and Third-Generation Sequencing

基因组 计算生物学 进化生物学
作者
Zi-Wen Yang,Yu Men,Jing Zhang,Zhi-Hui Liu,Jiu-Yang Luo,Yan-Hui Wang,Wen-Jun Li,Qiang Xie
出处
期刊:Microbial Ecology [Springer Science+Business Media]
卷期号:82 (4): 971-980 被引量:1
标识
DOI:10.1007/s00248-021-01727-6
摘要

The microbial communities associated with insects play critical roles in many physiological functions such as digestion, nutrition, and defense. Meanwhile, with the development of sequencing technology, more and more studies begin to focus on broader biodiversity of insects and the corresponding mechanisms of insect microbial symbiosis, which need longer time collecting in the field. However, few studies have evaluated the effect of insect microbiome sample preservation approaches especially in different time durations or have assessed whether these approaches are appropriate for both next-generation sequencing (NGS) and third-generation sequencing (TGS) technologies. Here, we used Tessaratoma papillosa (Hemiptera: Tessaratomidae), an important litchi pest, as the model insect and adopted two sequencing technologies to evaluate the effect of four different preservation approaches (cetyltrimethylammonium bromide (CTAB), ethanol, air dried, and RNAlater). We found the samples treated by air dried method, which entomologists adopted for morphological observation and classical taxonomy, would get worse soon. RNAlater as the most expensive approaches for insect microbiome sample preservation did not suit for field works longer than 1 month. We recommended CTAB and ethanol as better preservatives in longer time field work for their effectiveness and low cost. Comparing with the full-length 16S rRNA gene sequenced by TGS, the V4 region of 16S rRNA gene sequenced by NGS has a lower resolution trait and may misestimate the composition of microbial communities. Our results provided recommendations for suitable preservation approaches applied to insect microbiome studies based on two sequencing technologies, which can help researchers properly preserve samples in field works.

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
guzhfia完成签到,获得积分10
刚刚
刚刚
科目三应助小王采纳,获得10
1秒前
2秒前
科研通AI6.1应助15采纳,获得10
2秒前
优雅亦丝完成签到 ,获得积分10
3秒前
Aoieah发布了新的文献求助10
4秒前
5秒前
wxh16403发布了新的文献求助10
5秒前
6秒前
一秒啊完成签到,获得积分10
6秒前
7秒前
搜集达人应助嗯哼哈哈采纳,获得10
8秒前
白鸽完成签到,获得积分20
9秒前
烷基八氮完成签到 ,获得积分10
9秒前
大力的灵雁应助墨墨采纳,获得20
9秒前
sys123发布了新的文献求助10
10秒前
科研渣渣发布了新的文献求助10
11秒前
11秒前
LL完成签到 ,获得积分10
12秒前
12秒前
科目三应助zcy采纳,获得10
13秒前
白鸽发布了新的文献求助20
13秒前
无敌完成签到 ,获得积分10
13秒前
13秒前
难过手链发布了新的文献求助10
13秒前
可爱幻桃完成签到,获得积分10
14秒前
CodeCraft应助张小黑采纳,获得10
15秒前
15秒前
15秒前
Caden完成签到 ,获得积分10
16秒前
洪武发布了新的文献求助20
17秒前
Carlos发布了新的文献求助10
17秒前
18秒前
优雅亦丝关注了科研通微信公众号
18秒前
20秒前
sys123完成签到,获得积分10
20秒前
思源应助机灵紫伊采纳,获得10
21秒前
英俊的铭应助难过手链采纳,获得10
22秒前
Carlos完成签到,获得积分20
24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
Various Faces of Animal Metaphor in English and Polish 800
Fundamentals of Strain Psychology 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
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 6343680
求助须知:如何正确求助?哪些是违规求助? 8158659
关于积分的说明 17153136
捐赠科研通 5399966
什么是DOI,文献DOI怎么找? 2860118
邀请新用户注册赠送积分活动 1838186
关于科研通互助平台的介绍 1687835