量化葡萄水分流失点的高通量方法。

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Adam R Martin, Guangrui Li, Boya Cui, Rachel O Mariani, Kale Vicario, Kimberley A Cathline, Allison Findlay, Gavin Robertson
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引用次数: 0

摘要

量化作物的抗旱能力对于环境变化下的农业管理至关重要,葡萄藤的抗旱特性一直是葡萄栽培研究的重点。尽管估算πtlp通常需要构建和分析压力-体积(P-V)曲线,而这非常耗时,但πtlp作为植物耐旱性的一个指标正受到越来越多的关注。虽然 P-V 曲线仍然是评估 πtlp 及相关性状的重要工具,但人们对开发高通量方法以快速估算 πtlp 非常感兴趣,尤其是在作物筛选方面。我们测试了露点湿度计量化葡萄藤(Vitis vinifera subsp. vinifera)和一种野生近缘植物(Vitis riparia)12 个克隆之间和内部πtlp 变化的能力,并将这些结果与 P-V 曲线得出的结果进行了比较。在叶片水平上,方法学只解释了πtlp变异的4-5%,而克隆/物种同一性则解释了39%的变异,这表明这两种方法对检测葡萄藤种内πtlp变异都很敏感。同样在叶片水平上,使用露点湿度计测量的πtlp与πtlp值近似(r2 = 0.254),并保持了P-V曲线的πtlp排名(Spearman's ρ = 0.459)。虽然叶片级数据集之间存在统计学差异(配对 t 检验 p = 0.01),但给定一对叶片的 πtlp 平均差异很小(0.1 ± 0.2 MPa (s.d.))。在物种/克隆水平上,两种方法测得的πtlp估计值在统计学上也是相关的(r2 = 0.304),在统计学上没有偏离1:1的关系,并且不同克隆的πtlp排名保持一致(Spearman's ρ = 0.692)。露点湿度计(每次测量平均需要 10-15 分钟)能捕捉到πtlp 在种内的细微变化,其结果与 P-V 曲线(每次测量平均需要 2-3 小时)的结果接近。露点湿度计是快速估算πtlp种内差异的可行方法,在估算葡萄藤和其他作物的耐旱性状时有可能大大提高重复性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A high-throughput approach for quantifying turgor loss point in grapevine.

Quantifying drought tolerance in crops is critical for agriculture management under environmental change, and drought response traits in grape vine have long been the focus of viticultural research. Turgor loss point (πtlp) is gaining attention as an indicator of drought tolerance in plants, though estimating πtlp often requires the construction and analysis of pressure-volume (P-V) curves which are very time consuming. While P-V curves remain a valuable tool for assessing πtlp and related traits, there is considerable interest in developing high-throughput methods for rapidly estimating πtlp, especially in the context of crop screening. We tested the ability of a dewpoint hygrometer to quantify variation in πtlp across and within 12 clones of grape vine (Vitis vinifera subsp. vinifera) and one wild relative (Vitis riparia), and compared these results to those derived from P-V curves. At the leaf-level, methodology explained only 4-5% of the variation in πtlp while clone/species identity accounted for 39% of the variation, indicating that both methods are sensitive to detecting intraspecific πtlp variation in grape vine. Also at the leaf level, πtlp measured using a dewpoint hygrometer approximated πtlp values (r2 = 0.254) and conserved πtlp rankings from P-V curves (Spearman's ρ = 0.459). While the leaf-level datasets differed statistically from one another (paired t-test p = 0.01), average difference in πtlp for a given pair of leaves was small (0.1 ± 0.2 MPa (s.d.)). At the species/clone level, estimates of πtlp measured by the two methods were also statistically correlated (r2 = 0.304), did not deviate statistically from a 1:1 relationship, and conserved πtlp rankings across clones (Spearman's ρ = 0.692). The dewpoint hygrometer (taking ∼ 10-15 min on average per measurement) captures fine-scale intraspecific variation in πtlp, with results that approximate those from P-V curves (taking 2-3 h on average per measurement). The dewpoint hygrometer represents a viable method for rapidly estimating intraspecific variation in πtlp, and potentially greatly increasing replication when estimating this drought tolerance trait in grape vine and other crops.

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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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