A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
A gene expression panel for estimating age in males and females of the sleeping sickness vector Glossina morsitans.
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用于估计昏睡病病媒蚊雄性和雌性格罗西纳虫年龄的基因表达小组。
DOI：
10.1371/journal.pntd.0009797
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发表时间：
2021-09
影响因子：
3.8
通讯作者：
Donnelly MJ
中科院分区：
文献类型：
--
作者：
Lucas ER;Darby AC;Torr SJ;Donnelly MJ
许多媒介传播的疾病是通过杀死负责疾病传播的昆虫媒介的方法来控制的。记录病媒种群的年龄结构可提供有关死亡率和病媒容量的信息，并应成为控制计划之后进行的详细监测的一部分，但用于估计个体年龄的工具仍然有限。我们研究了使用基因表达标记来预测采采蝇年龄的潜力，采采蝇是致命且具有经济破坏性的非洲锥虫病的传播媒介。我们使用 RNAseq 来鉴定候选表达标记，并使用 qPCR 在实验室饲养的已知年龄的 Glossina morsitans morsitans 中测试这些标记。测量六个基因的表达足以获得均方根误差小于8天的年龄预测，而仅两个基因足以将果蝇分为≤15天和>15天的年龄类别。在现场捕获的样本和其他物种中进一步测试这些标记将确定这些标记在现场的准确性。许多昆虫传播的疾病是通过杀死负责疾病传播的昆虫的方法来控制的。估计传播疾病昆虫种群的年龄结构可提供有关死亡率和种群维持疾病传播能力的信息，并应成为控制计划之后进行的详细监测的一部分，但用于估计个体年龄的工具仍然有限。我们研究了使用基因表达标记来预测采采蝇年龄的潜力，采采蝇是致命且具有经济破坏性的非洲锥虫病（如昏睡病）的传播媒介。我们使用 RNA 测序来识别候选基因，并在实验室饲养的已知年龄的采采蝇中测试其准确性。测量六个基因的表达足以获得均方根误差小于8天的年龄预测，而仅两个基因足以将果蝇分为≤15天和>15天的年龄类别。在现场捕获的样本和其他物种中进一步测试这些标记将确定这些标记在现场的准确性。
Many vector-borne diseases are controlled by methods that kill the insect vectors responsible for disease transmission. Recording the age structure of vector populations provides information on mortality rates and vectorial capacity, and should form part of the detailed monitoring that occurs in the wake of control programmes, yet tools for obtaining estimates of individual age remain limited. We investigate the potential of using markers of gene expression to predict age in tsetse flies, which are the vectors of deadly and economically damaging African trypanosomiases. We use RNAseq to identify candidate expression markers, and test these markers using qPCR in laboratory-reared Glossina morsitans morsitans of known age. Measuring the expression of six genes was sufficient to obtain a prediction of age with root mean squared error of less than 8 days, while just two genes were sufficient to classify flies into age categories of ≤15 and >15 days old. Further testing of these markers in field-caught samples and in other species will determine the accuracy of these markers in the field. Many insect-borne diseases are controlled by methods that kill the insects responsible for disease transmission. Estimating the age structure of populations of disease-transmitting insects provides information on mortality rates and on the capacity of the population to maintain disease transmission, and should form part of the detailed monitoring that occurs in the wake of control programmes, yet tools for obtaining estimates of individual age remain limited. We investigate the potential of using markers of gene expression to predict age in tsetse flies, which are the vectors of deadly and economically damaging African trypanosomiases, such as sleeping sickness. We use RNA sequencing to identify candidate genes, and test their accuracy in laboratory-reared tsetse flies of known age. Measuring the expression of six genes was sufficient to obtain a prediction of age with root mean squared error of less than 8 days, while just two genes were sufficient to classify flies into age categories of ≤15 and >15 days old. Further testing of these markers in field-caught samples and in other species will determine the accuracy of these markers in the field.
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DOI：
10.1016/s0140-6736(18)32203-7
发表时间：
2018-11-10
期刊：
Lancet (London, England)
影响因子：
--
作者：
GBD 2017 Causes of Death Collaborators
通讯作者：
GBD 2017 Causes of Death Collaborators
WGCNA：用于加权相关网络分析的 R 包。
影响因子：
3
作者：
Langfelder P;Horvath S
通讯作者：
Horvath S
影响因子：
9.6
作者：
Eisler, MC;Torr, SJ;Morton, JF
通讯作者：
Morton, JF
影响因子：
1.5
作者：
Hargrove, John W.
通讯作者：
Hargrove, John W.
影响因子：
2.1
作者：
Lardeux, F;Ung, A;Chebret, M
通讯作者：
Chebret, M