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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Mengfei Liu, Xiaoyi Wang, Hongbin Wang, Guohong Li, Mingyang Pei, Gege Liu, Mei Wang
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Abstract

The great web-spinning sawfly Acantholyda posticalis is notorious for damaging Pinus 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 A. posticalis. 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 Cephalcia yanqingensis, C. chuxiongica, and C. infumata, 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 A. posticalis.

Abstract Image

大网纤锯蝇(Acantholyda posticalis)微卫星标记的全基因组开发与特征描述
织网锯蝇(Acantholyda posticalis)因破坏整个古北区的松树林而臭名昭著。目前,关于其种内变异和假定亚种的不确定性仍然存在。为了将其作为未来研究的工具,我们在本文中开发了针对A. posticalis的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,我们从基因组序列中获得了 56 个微卫星标记。我们在中国山东省(SD)和黑龙江省(HLJ)的两个种群中鉴定了这些标记,并在三个相关物种中进行了交叉扩增。在测试的 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 个标记被划分为高、中和低多态性水平。同时,28、19和4个微卫星位点分别在延庆蝉、楚雄蝉和蟾蜍蝉中成功交叉扩增,可作为其进一步研究的潜在分子标记。通过 STRUCTURE 和 PCoA 分析,发现了两个不同的聚类,分别对应于 SD 和 HLJ,表明这些标记的分辨率很高。因此,本文鉴定的 56 个微卫星标记有可能成为揭示 A. posticalis 种内变异和进化历史的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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