Rapid quantification of whole seed fatty acid amount, composition, and shape phenotypes from diverse oilseed species with large differences in seed size.

IF 4.4 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Matthew G Garneau, Prasad Parchuri, Nora Zander, Philip D Bates
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引用次数: 0

Abstract

Background: Seed oils are widely used in the food, biofuel, and industrial feedstock industries, with their utility and value determined by total oil content and fatty acid composition. Current high throughput seed oil analysis methods either lack accuracy in total fatty acid profiling or require extensive labor for lipid extraction prior to derivatization to fatty acid methyl esters (FAME) and quantification by gas chromatography (GC). Alternatively, direct whole seed FAME production methods have been developed for the very small seeds in the model species Arabidopsis thaliana but these have generally not been adapted to larger seeds of most oilseed crops.

Results: High-throughput direct whole seed FAME production methods were optimized for seeds up to 5 mg each utilizing acid-catalyzed esterification. For the oilseed species Camelina sativa, Thlaspi avernse (pennycress), Cuphea viscosissima, and Brassica napus (var. Canola), the total seed fatty acid content and composition from direct seed esterification to FAME matched that of lipid extract derivatization demonstrating the accuracy of the methods. In combination with seed phenotyping using GridFree, this approach enabled the development of a rapid pipeline for simultaneous seed weight, count, size/shape phenotyping, and oil analysis. For the larger and tougher seeds produced by Limnanthes alba (Meadowfoam) and Cannabis sativa L. (hemp) the whole seed acid-based method proved insufficient, and prior laborious homogenization of seeds was required. Therefore, a rapid one-tube bead homogenization and base catalyzed-esterification method was developed. Base-derived fatty acid esterification cannot derivatize free fatty acids leading to slightly lower total seed fatty acid than acid-catalyzed methods, however the seed oil content and fatty acid composition that is valuable for screening large numbers of samples in research populations was accurately measured.

Conclusions: New rapid whole seed fatty acid esterification and phenotyping protocols were developed to accurately assess oilseed lipid content. These methods are particularly valuable in oilseed research, breeding, and engineering applications where efficient analysis of large numbers of samples and accurate oil fatty acid profiling is essential. While having been developed for current and emerging oilseed crops, these methods also provide a foundation from which protocols might be established for new and emerging crop species.

种子大小差异较大的不同油籽品种全籽脂肪酸含量、组成和形状表型的快速定量分析。
背景:种子油广泛应用于食品、生物燃料和工业原料行业,其用途和价值由总油含量和脂肪酸组成决定。目前的高通量种子油分析方法要么在总脂肪酸分析方面缺乏准确性,要么在衍生为脂肪酸甲酯(FAME)和气相色谱(GC)定量之前需要大量的脂质提取劳动。另外,已经开发了用于模式物种拟南芥中非常小的种子的直接全种子FAME生产方法,但这些方法通常不适用于大多数油籽作物的较大种子。结果:利用酸催化酯化,优化了高通量直接全种子FAME生产方法,每个种子最高可达5 mg。油籽类植物Camelina sativa、Thlaspi avvernse (pennyress)、Cuphea viscosissima和Brassica napus (var. Canola)的种子直接酯化到FAME的总脂肪酸含量和组成与脂质提取物衍生化相匹配,证明了方法的准确性。结合使用GridFree进行种子表型分析,这种方法能够快速开发同时进行种子重量、计数、大小/形状表型和油脂分析的管道。对于Limnanthes alba (Meadowfoam)和Cannabis sativa L. (hemp)生产的更大更坚韧的种子,全种子酸基方法被证明是不够的,需要事先费力地对种子进行均质处理。为此,研究了一种快速的单管球均质和碱催化酯化方法。碱衍生脂肪酸酯化不能衍生出游离脂肪酸,导致种子总脂肪酸含量略低于酸催化方法,但准确测量了种子油含量和脂肪酸组成,这对筛选研究群体中的大量样品有价值。结论:开发了新的快速全籽脂肪酸酯化和表型分析方案,以准确评估油籽脂含量。这些方法在油籽研究、育种和工程应用中特别有价值,在这些应用中,大量样品的高效分析和准确的油脂肪酸谱是必不可少的。虽然这些方法是为现有和新兴的油籽作物开发的,但也为建立新的和新兴的作物物种的方案提供了基础。
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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