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综合 3D 表型分析揭示了遗传多样性高粱花序的连续形态变异。

Comprehensive 3D phenotyping reveals continuous morphological variation across genetically diverse sorghum inflorescences.

机构信息

Donald Danforth Plant Science Center, St Louis, MO, 63132, USA.

Department of Computer Science and Engineering, Washington University, St Louis, MO, 63130, USA.

出版信息

New Phytol. 2020 Jun;226(6):1873-1885. doi: 10.1111/nph.16533. Epub 2020 Apr 16.

Abstract

●Inflorescence architecture in plants is often complex and challenging to quantify, particularly for inflorescences of cereal grasses. Methods for capturing inflorescence architecture and for analyzing the resulting data are limited to a few easily captured parameters that may miss the rich underlying diversity. ●Here, we apply X-ray computed tomography combined with detailed morphometrics, offering new imaging and computational tools to analyze three-dimensional inflorescence architecture. To show the power of this approach, we focus on the panicles of Sorghum bicolor, which vary extensively in numbers, lengths, and angles of primary branches, as well as the three-dimensional shape, size, and distribution of the seed. ●We imaged and comprehensively evaluated the panicle morphology of 55 sorghum accessions that represent the five botanical races in the most common classification system of the species, defined by genetic data. We used our data to determine the reliability of the morphological characters for assigning specimens to race and found that seed features were particularly informative. ●However, the extensive overlap between botanical races in multivariate trait space indicates that the phenotypic range of each group extends well beyond its overall genetic background, indicating unexpectedly weak correlation between morphology, genetic identity, and domestication history.

摘要

●植物的花序结构通常较为复杂,难以量化,尤其是禾本科植物的花序。现有的获取花序结构并分析所得数据的方法仅限于少数几个容易捕捉的参数,而这些参数可能会忽略丰富的潜在多样性。●在这里,我们应用 X 射线计算机断层扫描结合详细形态计量学,为分析三维花序结构提供新的成像和计算工具。为了展示这种方法的强大功能,我们以高粱的圆锥花序为研究对象,该花序的一级分枝数量、长度和角度,以及种子的三维形状、大小和分布差异很大。●我们对代表该物种最常见分类系统(基于遗传数据定义)中五个植物种的 55 个高粱品种进行了成像和综合评估。我们利用这些数据确定了将样本分配给种的形态特征的可靠性,发现种子特征特别有信息。●然而,在多变量特征空间中,植物种之间的广泛重叠表明,每个群体的表型范围远远超出其整体遗传背景,这表明形态、遗传身份和驯化历史之间的相关性出乎意料地较弱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b73b/7317572/1d27fb022cd7/NPH-226-1873-g001.jpg

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