Low-cost and reliable substrate-based phenotyping platform for screening salt tolerance of cutting propagation-dependent grass, paspalum vaginatum.

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Zhiwei Liu, Wentao Xue, Qijuan Jiang, Ademola Olufolahan Olaniran, Xiaoxian Zhong
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引用次数: 0

Abstract

Background: Salt tolerance in plants is defined as their ability to grow and complete their life cycle under saline conditions. Staple crops have limited salt tolerance, but forage grass can survive in large unexploited saline areas of costal or desert land. However, due to the restriction of self-incompatible fertilization in many grass species, vegetative propagation via stem cuttings is the dominant practice; this is incompatible with current methodologies of salt-tolerance phenotyping, which have been developed for germination-based seedling growth. Therefore, the performance of seedlings from cuttings under salt stress is still fuzzy. Moreover, the morphological traits involved in salt tolerance are still mostly unknown, especially under experimental conditions with varying levels of stress.

Results: To estimate the salt tolerance of cutting propagation-dependent grasses, a reliable and low-cost workflow was established with multiple saline treatments, using Paspalum vaginatum as the material and substrate as medium, where cold stratification and selection of stem segments were the two variables used to control for experimental errors. Average leaf number (ALN) was designated as the best criterion for evaluating ion-accumulated salt tolerance. The reliability of ALN was revealed by the consistent results among four P. vaginatum genotypes, and three warm-season (pearl millet, sweet sorghum, and wild maize) and four cold-season (barley, oat, rye, and ryegrass) forage cultivars. Dynamic curves simulated by sigmoidal mathematical models were well-depicted for the calculation of the key parameter, Salt50. The reliability of the integrated platform was further validated by screening 48 additional recombinants, which were previously generated from a self-fertile mutant of P. vaginatum. The genotypes displaying extreme ALN-based Salt50 also exhibited variations in biomass and ion content, which not only confirmed the reliability of our phenotyping platform but also the representativeness of the aerial ALN trait for salt tolerance.

Conclusions: Our phenotyping platform is proved to be compatible with estimations in both germination-based and cutting propagation-dependent seedling tolerance under salt stresses. ALN and its derived parameters are prone to overcome the species barriers when comparing salt tolerance of different species together. The accuracy and reliability of the developed phenotyping platform is expected to benefit breeding programs in saline agriculture.

低成本、可靠的基于基质的表型平台,用于筛选依赖切割繁殖的禾本科植物--覆盆子的耐盐性。
背景:植物的耐盐性是指它们在盐碱条件下生长和完成生命周期的能力。主粮作物的耐盐能力有限,但牧草可以在沿海或沙漠地区大片未开发的盐碱地上生存。然而,由于许多草种受自交不亲和施肥的限制,通过茎秆扦插进行无性繁殖是最主要的做法;这与目前的耐盐表型方法不相容,后者是为基于发芽的幼苗生长而开发的。因此,扦插苗在盐胁迫下的表现仍然模糊不清。此外,涉及耐盐性的形态特征大多仍不清楚,尤其是在不同胁迫水平的实验条件下:为了估测依赖扦插繁殖的禾本科植物的耐盐性,我们建立了一套可靠且低成本的工作流程,以黄杨为材料,基质为培养基,采用多重盐水处理,并以低温分层和选择茎段这两个变量来控制实验误差。平均叶片数(ALN)被认为是评价离子累积耐盐性的最佳标准。四种岩白菜素基因型、三种暖季(珍珠粟、甜高粱和野玉米)和四种冷季(大麦、燕麦、黑麦和黑麦草)牧草栽培品种的一致结果表明了平均叶片数的可靠性。在计算关键参数 Salt50 时,用西格玛数学模型模拟的动态曲线得到了很好的描述。通过筛选 48 个额外的重组子,进一步验证了该集成平台的可靠性。显示基于 ALN 的极端 Salt50 的基因型在生物量和离子含量方面也表现出差异,这不仅证实了我们的表型平台的可靠性,也证实了气生 ALN 性状在耐盐性方面的代表性:结论:事实证明,我们的表型平台与盐胁迫下基于发芽和扦插繁殖的幼苗耐受性评估相兼容。在比较不同物种的耐盐性时,ALN及其衍生参数容易克服物种障碍。所开发表型平台的准确性和可靠性有望为盐碱地农业的育种计划带来益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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