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织网叶蜂微卫星标记的全基因组开发与特征分析

Genome-Wide Development and Characterization of Microsatellite Markers in the Great Web-Spinning Sawfly .

作者信息

Liu Mengfei, Wang Xiaoyi, Wang Hongbin, Li Guohong, Pei Mingyang, Liu Gege, Wang Mei

机构信息

Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration Ecology and Nature Conservation Institute, Chinese Academy of Forestry Beijing China.

Chaoyang Natural Resources Affairs Service Center Liaoning China.

出版信息

Ecol Evol. 2024 Nov 4;14(11):e70500. doi: 10.1002/ece3.70500. eCollection 2024 Nov.

Abstract

The great web-spinning sawfly is notorious for damaging forests across the Palearctic region. At present, uncertainties persist regarding its intraspecies variation and presumed subspecies. To use as tools for future studies, herein we developed genome-wide microsatellite markers for . Through searching, rigorous manual screening, and amplification trial, 56 microsatellite markers were obtained from the genome sequences. We characterized these markers across two populations from Shandong province (SD) and Heilongjiang province (HLJ) in China, and carried out cross-amplification in three related species. Out of the 56 markers tested, 10, 31, and 15 were categorized into high, moderate, and low polymorphic levels, respectively, based on their polymorphic information content (PIC) values. Meanwhile, 28, 19, and 4 microsatellite loci were successfully cross-amplified in , , and , respectively, which could serve as potential molecular markers for their further studies. STRUCTURE and PCoA analyses revealed two distinct clusters corresponding to SD and HLJ, respectively, indicating a high resolution of these markers. Therefore,the 56 microsatellite markers identified here have the potential to serve as efficient tools for unraveling intraspecies variation and evolutionary history of .

摘要

大造网叶蜂因对古北区的森林造成破坏而臭名昭著。目前,关于其种内变异和假定亚种仍存在不确定性。为了作为未来研究的工具,我们在此为……开发了全基因组微卫星标记。通过搜索、严格的人工筛选和扩增试验,从基因组序列中获得了56个微卫星标记。我们对来自中国山东省(SD)和黑龙江省(HLJ)的两个种群的这些标记进行了特征分析,并在三个相关物种中进行了交叉扩增。在所测试的56个标记中,根据其多态信息含量(PIC)值,分别有10个、31个和15个被归类为高、中、低多态水平。同时,分别有28个、19个和4个微卫星位点在……、……和……中成功进行了交叉扩增,这可为它们的进一步研究作为潜在的分子标记。STRUCTURE和PCoA分析分别揭示了对应于SD和HLJ的两个不同聚类,表明这些标记具有高分辨率。因此,这里鉴定出的56个微卫星标记有潜力作为揭示……种内变异和进化历史的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c768/11534431/da4a3c7176f3/ECE3-14-e70500-g003.jpg

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