Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR, USA.
Instituto de Biotecnología y Ecología Aplicada (INBIOTECA), Universidad Veracruzana, Xalapa, Mexico.
Methods Mol Biol. 2022;2539:11-17. doi: 10.1007/978-1-0716-2537-8_2.
High-throughput phenotyping (HTP) allows automation of fast and precise acquisition and analysis of digital images for the detection of key traits in real time. HTP improves characterization of the growth and development of plants in controlled environments in a nondestructive fashion. Marchantia polymorpha has emerged as a very attractive model for studying the evolution of the physiological, cellular, molecular, and developmental adaptations that enabled plants to conquer their terrestrial environments. The availability of the M. polymorpha genome in combination with a full set of functional genomic tools including genetic transformation, homologous recombination, and genome editing has allowed the inspection of its genome through forward and reverse genetics approaches. The increasing number of mutants has made it possible to perform informative genome-wide analyses to study the phenotypic consequences of gene inactivation. Here we present an HTP protocol for M. polymorpha that will aid current efforts to quantify numerous morphological parameters that can potentially reveal genotype-to-phenotype relationships and relevant connections between individual traits.
高通量表型分析（HTP）允许对数字图像进行快速、精确的自动获取和分析，以便实时检测关键特征。HTP 以非破坏性的方式改善了对受控环境中植物生长和发育的描述。地钱已经成为研究使植物能够征服陆地环境的生理、细胞、分子和发育适应性进化的非常有吸引力的模型。M. polymorpha 基因组的可用性以及全套功能基因组工具，包括遗传转化、同源重组和基因组编辑，使人们可以通过正向和反向遗传学方法来检查其基因组。越来越多的突变体使进行信息丰富的全基因组分析成为可能，以研究基因失活的表型后果。本文介绍了一种用于 M. polymorpha 的 HTP 方案，这将有助于当前量化大量形态参数的工作，这些参数可能揭示基因型与表型的关系以及各个性状之间的相关联系。
