首页> 外文期刊>Chemical Senses >Potential Semiochemical Molecules from Birds: A Practical and Comprehensive Compilation of the Last 20 Years Studies
【24h】

Potential Semiochemical Molecules from Birds: A Practical and Comprehensive Compilation of the Last 20 Years Studies

机译:鸟类的潜在化学信息分子:最近20年研究的实用综合汇编

获取原文
获取原文并翻译 | 示例
           

摘要

During the past 2 decades, considerable progress has been made in the study of bird semiochemistry, and our goal was to review and evaluate this literature with particular emphasis on the volatile organic constituents. Indeed, since the importance of social chemosignaling in birds is becoming more and more apparent, the search for molecules involved in chemical communication is of critical interest. These molecules can be found in different sources that include uropygial gland secretions, feather-surface compounds, and molecules from feces and skin. Although many studies have examined the chemical substances secreted by birds, research on bird chemical communication is still at the start, so new strategies for collecting samples and development of new methods of analysis are urgently required. As a first step, we built a database that brings together potential semiochemicals, using a unique chemical nomenclature for comparing different bird species and also for referencing the different classes of substances that can be found in order to adapt future parameters of analysis. The most important patterns of the wax fraction of preen secretions are highlighted and organized in an ordered table. We also draw up a list of various combinations of sampling and analytical techniques, so that each method can be compared at a glance.
机译:在过去的20年中,鸟类符号化学的研究取得了长足的进步,我们的目标是回顾和评估这些文献,特别关注挥发性有机成分。实际上,由于在鸟类中进行社会化学信号传递的重要性越来越明显,因此寻找与化学交流有关的分子非常重要。这些分子可以在不同的来源中找到,包括尿道腺分泌物,羽毛表面的化合物以及来自粪便和皮肤的分子。尽管许多研究已经研究了鸟类分泌的化学物质,但是关于鸟类化学交流的研究仍处于起步阶段,因此迫切需要新的收集样品策略和新的分析方法。第一步,我们建立了一个数据库,该数据库将潜在的化学信息素汇集在一起​​,使用独特的化学术语来比较不同的鸟​​类种类,并引用可以找到的不同类别的物质,以适应将来的分析参数。在有序表中突出显示并组织了味觉分泌物中蜡部分最重要的模式。我们还列出了采样和分析技术的各种组合,以便可以一目了然地比较每种方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号