Department of Entomology, Australian Museum Research Institute, 1 William St, Darlinghurst, NSW, 2010, Australia.
Biosecurity Operations, NAQS, Department of Agriculture and Water Resources, 1 Pederson Road, Eaton, NT, 0812, Australia.
Sci Rep. 2019 May 7;9(1):7039. doi: 10.1038/s41598-019-42995-0.
Lepidopteran stemborers are among the most damaging agricultural pests worldwide, able to reduce crop yields by up to 40%. Sugarcane is the world's most prolific crop, and several stemborer species from the families Noctuidae, Tortricidae, Crambidae and Pyralidae attack sugarcane. Australia is currently free of the most damaging stemborers, but biosecurity efforts are hampered by the difficulty in morphologically distinguishing stemborer species. Here we assess the utility of DNA barcoding in identifying stemborer pest species. We review the current state of the COI barcode sequence library for sugarcane stemborers, assembling a dataset of 1297 sequences from 64 species. Sequences were from specimens collected and identified in this study, downloaded from BOLD or requested from other authors. We performed species delimitation analyses to assess species diversity and the effectiveness of barcoding in this group. Seven species exhibited <0.03 K2P interspecific diversity, indicating that diagnostic barcoding will work well in most of the studied taxa. We identified 24 instances of identification errors in the online database, which has hampered unambiguous stemborer identification using barcodes. Instances of very high within-species diversity indicate that nuclear markers (e.g. 18S, 28S) and additional morphological data (genitalia dissection of all lineages) are needed to confirm species boundaries.
鳞翅目蛀干害虫是世界上最具破坏性的农业害虫之一,它们能够使作物减产高达 40%。甘蔗是世界上产量最高的作物,有几个来自夜蛾科、卷叶蛾科、螟蛾科和麦蛾科的蛀干害虫会攻击甘蔗。澳大利亚目前没有最具破坏性的蛀干害虫,但生物安全工作受到形态上难以区分蛀干害虫物种的阻碍。在这里,我们评估了 DNA 条形码在识别蛀干害虫物种方面的效用。我们回顾了甘蔗蛀干害虫 COI 条码序列库的现状,从 64 个物种中组装了一个包含 1297 个序列的数据集。这些序列来自本研究中收集和鉴定的标本,从 BOLD 下载或向其他作者请求。我们进行了物种划分分析,以评估该组的物种多样性和条形码的有效性。有 7 个物种的 K2P 种间多样性<0.03,表明在大多数研究的类群中,诊断性条形码将很好地发挥作用。我们在在线数据库中发现了 24 个鉴定错误的实例,这阻碍了使用条形码进行明确的蛀干害虫鉴定。种内高度多样性的实例表明,需要核标记(如 18S、28S)和额外的形态数据(所有谱系的生殖器解剖)来确认物种边界。