Suppr超能文献

研究四种杂草苋属植物幼苗叶片表型变异的创新多尺度方法。

Innovative multi-scale approach to study the phenotypic variation of seedling leaves in four weedy Amaranthus species.

作者信息

Scarpin D, Este G, D'Este F, Boscutti F, Milani A, Panozzo S, Varotto S, Vuerich M, Petrussa E, Braidot E

机构信息

Department of Agriculture, Food, Environment and Animal Sciences (DI4A), University of Udine, Udine, Italy.

Department of Medicine, University of Udine, Udine, Italy.

出版信息

Plant Biol (Stuttg). 2025 Mar;27(2):310-322. doi: 10.1111/plb.13752. Epub 2024 Dec 11.

Abstract

Plant phenotyping on morpho-anatomical traits through image analysis, from microscope images to large-scale acquisitions through remote sensing, represents a low-invasive tool providing insight into physiological and structural trait variation, as well as plant-environment interactions. High phenotype diversity in the genus Amaranthus includes annual weed species with high invasiveness and impact on important summer crops, and nutritive grain or vegetable crops. Identification of morpho-anatomical leaf characters at very young stages across weedy amaranths could be useful for better understanding their performance in agroecosystems. We used an innovative multi-scale approach with phenotype analyses of about 20 single-leaf morphometric traits of four Amaranthus species through processing confocal microscopy and camera acquisitions. The results highlight that determination of leaf traits at different investigation levels highlight species-specific traits at a juvenile stage, which are crucial for plant development, competition and establishment. Specifically, leaf circularity and hairiness Aspect Ratio better discriminated A. tuberculatus from other species. Also, leaf DW, hairiness area and perimeter variables allowed identification of dioecious amaranth species as distinct from monoecious species. The methodology used here provides a promising, reliable and low-impact approach for the functional characterization of phylogenetically related species and for statistical quantification of traits involved in taxonomy and biodiversity studies.

摘要

通过图像分析对植物形态解剖特征进行表型分析,从显微镜图像到通过遥感进行的大规模采集,是一种低侵入性工具,可深入了解生理和结构特征变异以及植物与环境的相互作用。苋属植物具有高度的表型多样性,包括对重要夏季作物具有高侵入性和影响的一年生杂草物种,以及营养谷物或蔬菜作物。在杂草苋的非常早期阶段识别形态解剖叶片特征,可能有助于更好地了解它们在农业生态系统中的表现。我们采用了一种创新的多尺度方法,通过处理共聚焦显微镜和相机采集的数据,对四种苋属物种的约20个单叶形态特征进行表型分析。结果表明,在不同研究水平上测定叶片特征可突出幼年期的物种特异性特征,这些特征对于植物发育、竞争和定植至关重要。具体而言,叶片圆形度和毛被长宽比能更好地区分糙果苋与其他物种。此外,叶片干重、毛被面积和周长变量有助于将雌雄异株的苋属物种与雌雄同株物种区分开来。这里使用的方法为系统发育相关物种的功能表征以及分类学和生物多样性研究中涉及的特征的统计量化提供了一种有前景、可靠且低影响的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee0e/11846635/d03d3468d09d/PLB-27-310-g002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验