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Sequencing the Ant fauna of a Small Island: Can Metagenomic Analysis Enable Faster Identification for Routine Ant Surveys?

机译:测序一个小岛屿的蚂蚁动物群:可以测定算子分析能够更快地识别常规蚂蚁调查?

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All known ant species from a small Western Australian island were subjected to DNA barcoding of the CO1 gene, with a view to using the database to identify ants by Next Generation Sequencing in subsequent, routine surveys. A further aim was to evaluate whether the data could be used to see if any new species had arrived on the island since the total fauna had been inventoried. Of the 125 unique ant species then known from the island, 72 were successfully barcoded. Those that were refractory to amplification were largely the result of sample age and/or contamination. Following this base-line barcoding, ants were sampled from 14 regular sampling sites and ant sequences were obtained from the bulked ‘metagenomic soup’. Prior to doing this, a parataxonomist had identified all ant species in the samples and returned them to the ‘soup’. Successful identification for each site varied from 38% (Sites 12 and 27) to 100% of species (Site 10). Comparison of the number of species recovered with the number of sequences obtained from each sample showed a positive correlation between the two variables. When a site had 1,000 sequences, the average recovery rate was 79%, which is in contrast to the lowest four recovery rates (Site samples 12, 22, 26 and 27), which had fewer than 440 amplicon sequences. The ability to detect individuals that occur at low frequencies is also important. We analysed each site individually to determine if a species was detected and how that related to the proportion of individuals in the pooled sample. Where a species was present at 4% of the total sample, it was only detected 10% of the time, indicating that adequate sequencing depth is critical to species recovery. We conclude that this technique was only partially successful in replacing conventional taxonomy and that it could have limited ability to detect incursions unless the new arrival is abundant. Current barcoding is no longer limited to the CO1 gene and other genes are characterised for identification of intractable groups where CO1 does not provide appropriate levels of resolution.
机译:来自一只小西澳大利亚岛的所有已知的蚂蚁物种都经过CO1基因的DNA条形码,观点是使用数据库在随后的常规调查中通过下一代测序来识别蚂蚁。进一步的目的是评估数据是否可以用来看待任何新的物种,自岛上的岛上抵达岛上。在岛上已知的125种独特的蚂蚁物种中,72种成功的条形码。那些对扩增的难治性的人在很大程度上是样品年龄和/或污染的结果。在该碱基条形码之后,从14个常规采样点采样蚂蚁,并从膨胀的“梅泰汤”中获得蚂蚁序列。在这样做之前,一个语义学家已经确定了样本中的所有蚂蚁物种,并将它们归还给“汤”。每个站点的成功鉴定从38%(部位12和27)变化为100%的物种(遗址10)。从每个样品获得的序列数回收的物种数量的比较显示了两个变量之间的正相关。当一个位点具有> 1,000个序列时,平均回收率为79%,与最低四个恢复速率(位点样品12,22,26和27)相反,其具有少于440个扩增子序列。检测低频发生的个体的能力也很重要。我们单独分析每个部位以确定是否检测到物种以及如何与汇总样品中的个体的比例相关。如果物种在<4%的总样品中存在,则仅检测到10%的时间,表明足够的测序深度对物种恢复至关重要。我们得出结论,这种技术仅成功地取代常规分类物,并且它可能具有有限的能力,除非新的抵达是丰富的。当前的条形码不再限于CO1基因,并且其他基因的特征是鉴定CO1不提供适当水平的分辨率。

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