Romeiro Luiza de Araújo, da Silva Edilson Freitas, Vasconcelos Liziane Vilela, Lopes Karen da Silva, Carreira Léa Maria Medeiros, Guimarães José Tasso Felix
Instituto Tecnológico Vale, Rua Boaventura da Silva 955, Nazaré, Belém 66055-090, PA, Brazil.
Programa de Pós-Graduação em Ecologia, Universidade Federal do Pará, Rua Augusto Corrêa 01, Guamá, Belém 66075-110, PA, Brazil.
Plants (Basel). 2023 Jun 9;12(12):2256. doi: 10.3390/plants12122256.
Serra dos Carajás harbors a unique open plant community in Amazonia, known as vegetation, with several endemic species coexisting with the potential threat of large-scale iron ore mining. In this sense, Convolvulaceae occur in a wide variety of canga geoenvironments with multiple flower visitors, but the scarcity of data on its pollen morphology prevents the correct association between Convolvulaceae species with floral visitors, as well as the precise identification of their habitats throughout the Quaternary. Therefore, this study aims to contribute to the taxonomic knowledge and refinement of the identification of insect-plant networks of endangered plants, including . Pollen grains were examined by light and scanning electron microscopy (LM and SEM, respectively), and the morphological parameters obtained were statistically analyzed using principal component analysis. Therefore, all species were differentiated based on aperture types and exine ornamentation. The set of morphological characters indicated that echinae morphology, easily identified under LM, was effective for the identification of species. This work represents the first robust pollen database for a precise identification at the species level of Convolvulaceae from southeastern Amazonian cangas.
卡拉雅斯山脉蕴藏着亚马逊地区独特的开放植物群落，即所谓的植被，有几种特有物种与大规模铁矿石开采的潜在威胁共存。从这个意义上说，旋花科植物出现在各种有多种访花者的坎加地质环境中，但关于其花粉形态的数据稀缺，这妨碍了旋花科物种与访花者之间的正确关联，以及在整个第四纪对其栖息地的精确识别。因此，本研究旨在为濒危植物的分类学知识以及昆虫 - 植物网络识别的完善做出贡献，包括 。分别通过光学显微镜和扫描电子显微镜（LM和SEM）检查花粉粒，并使用主成分分析对获得的形态参数进行统计分析。因此，所有物种都根据萌发孔类型和外壁纹饰进行了区分。这组形态特征表明，在光学显微镜下易于识别的刺状形态对于 物种的识别是有效的。这项工作代表了第一个强大的花粉数据库，用于从亚马逊东南部坎加地区精确识别旋花科植物的物种水平。
