不同环境和采样变量对野外采集粪便样本基因分型成功的影响:以棕熊为例研究

T. Skrbinšek
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引用次数: 3

摘要

本文研究了不同野外条件和样品特征对野外采集的棕熊粪便样品基因分型成功的影响。对斯洛文尼亚南部试点研究中收集的413个样本的基因分型性能进行了评估,并使用统计模型来控制预测变量之间的混淆,并量化它们对基因分型成功的具体影响。基因分型成功的最佳预测因子是主观估计的年龄、取样月份和ascat含量。即使控制了其他混杂变量,基因分型成功率也随着年龄的估计迅速下降,从0天的89%(82-94%)下降到5天的33%(19-52%)。采样月份也是一个重要的预测因子,在夏末/秋季熊食期采集的样本(90%,78-96%)明显优于春/初夏采集的样本(66%,57-74%)。这种效应对于新鲜的样品比对旧的样品更强。不同食物类型的影响也相当大,但在实际应用中不太重要。由于非侵入性基因取样已经成为许多物种野生种群调查的关键方法,研究的效率变得越来越重要。了解采样月份的影响可以为最大程度的基因分型成功设定现场季节的时间,而主观粪便年龄提供了一个有用的指标,表明样本的基因分型可行性,允许对样本进行优先排序,并在资源浪费之前剔除不可行的样本进行分析。这为每投入资源提供了更高的有用数据产量,并可能最终导致更好的研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of different environmental and sampling variables on the genotyping success in field-collected scat samples: a brown bear case study
The paper investigates how different field conditions and sample characteristics influence genotyping success in field-collected brown bear scat samples. Genotyping performance of 413 samples collected in a pilot study in southern Slovenia was evaluated, andstatistical modelling was used to control confounding between pre- dictor variables and to quantify their specific effects ongenotyping success. The best predictors of genotyping success were subjectively estimated scat age, sampling month, and contents of ascat. Even when the other confounded variables were controlled for, genotyping success dropped rapidly with the age estimate, from 89% (82-94%) for 0-day scats to 33% (19-52%) for scats estimated to be 5 days old. Sampling month was also an important predictor, and samples collected during the bear hyperphagia period in late summer/autumn performed considerably better (90%,78-96%) than the samples collected in spring / early summer (66%, 57-74%). This effect was stronger for fresh than for older samples. Effects of different food types were also considerable, but less important for practical use. Since noninvasive genetic sampling already became the key method for surveying wild populations of many species, efficiency of studies is becoming increasingly important. Understanding the effect of the month of sampling allows the field season to be timed for maximum genotyping success, while subjective scat age provides a useful metric that indicates a sample’s viability for genotyping, allowing for prioritization of samples and culling of non-viable samples before resources are wasted for their analysis. This provides higher useful data yields per invested resources and may ultimately lead to better study results.
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