基于DNA宏条形码技术的亚东鲑食物组成

DNA metabarcoding-based diet analysis of Salmo trutta fario in the Yadong River

  • 摘要:
    目的 分析西藏自治区二级野生保护动物亚东鲑的食物组成,了解其种群动态和生态功能。
    方法 本实验于亚东县亚东河采集野生亚东鲑26尾,获得肠道内容物22份,利用2对通用引物扩增18S rRNA V4区和COI基因高变区,对肠道内容物中食物类群进行鉴定。
    结果 得到17个食物类群,即螳螂目、哲水蚤目、枝角目、蜘蛛目、鞘翅目、剑水蚤目、双翅目、蜉蝣目、单向蚓目、半翅目、膜翅目、鳞翅目、带丝蚓目、直链藻目、近爪目、游泳目和毛翅目。所有食物类群中,双翅目的出现率、出现率百分比、加权出现率和相对序列丰度均最高 (18S rRNA为81.82%、26.87%、35.53%和53.77%;COI为81.82%、29.03%、39.09%和45.14%) ;其次为鳞翅目 (18S rRNA为59.09%、19.40%、19.02%和14.33%;COI为45.45%、16.13%、16.32%和21.39%) 。配对Wilcoxon检验显示18S rRNA V4区确定食物类群的扩增序列变体 (ASVs) 显著高于COI区域。物种注释卡方检验显示COI区注释成功率更高 (χ2 = 43.47, df = 4) 。
    结论 整体而言,亚东鲑主要以水生昆虫为食,双翅目是主要食物组成,浮游动物和浮游植物可能是在捕食过程中偶然摄入。在利用DNA宏条形码分析食物组成的过程中,不同分子标记选择得到的结果存在差异,综合使用2种或多种分子标记得到的结果会更全面。本研究结果可为了解野生亚东鲑种群生存状况、制定保护政策提供参考。

     

    Abstract: Salmo trutta fario is a second-level protected wild animal in the Xizang Autonomous Region, distributed only in the Yadong River segment in Yadong County, Shigatse City, Xizang. In recent years, due to overfishing and changes in hydrological conditions, the population resources of wild S. trutta have rapidly declined. Due to the difficulty in obtaining samples, there are few studies on the feeding habits of S. trutta. The analysis of the food composition of S. trutta is helpful for understanding its population dynamics and ecological functions, and it is of great significance for the protection and restoration of fishery resources. In this study, 26 wild S. trutta were collected from Yadong River in Yadong County, and 22 intestinal contents were obtained. Two pairs of universal primers targeting the highly variable regions of 18S rRNA V4 and COI genes were used to identify the food composition of intestinal contents. The results showed that a total of 17 food taxa were obtained: Mantodea, Calanoida, Cladocera, Araneae, Coleoptera, Cyclopoida, Diptera, Ephemeroptera, Haplotaxida, Hemiptera, Hymenoptera, Lepidoptera, Lumbriculida, Melosirales, Parachela, Ploima, and Trichoptera. Among all food taxa, Diptera had the highest frequency of occurrence, percent of occurrence, weighted percent of occurrence, and relative read abundance (18S rRNA were 81.82%, 26.87%, 35.53%, and 53.77%; COIwere 81.82%, 29.03%, 39.09%, and 45.14%), followed by Lepidoptera (18S rRNA were 59.09%, 19.40%, 19.02%, and 14.33%; COIwere 45.45%, 16.13%, 16.32%, and 21.39%). Paired Wilcoxon test showed that the amplicon sequence variants (ASVs) of food taxa amplified by the 18S rRNA region were significantly higher than those amplified by the COI region, and species annotation chi-square test showed that the annotation success rate of the COI region was higher (χ2=43.47, df=4). Overall, S. trutta mainly feeds on aquatic insects, with Diptera being the main food composition. In addition, planktonic animals and planktonic plants were also found, which may be accidentally ingested during predation. In the process of analyzing food composition using DNA barcoding, there are differences in the results obtained with different molecular markers, and the results obtained by using two or more molecular markers together will be more comprehensive. The results of this study can provide reference for understanding the survival status of wild S. trutta populations and formulating protection policies.

     

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