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豌豆种子营养价值的特征分析——基于广泛的豌豆群体。

Characterization of pea seed nutritional value within a diverse population of Pisum sativum.

机构信息

Department of Biological Sciences, Florida A&M University, Tallahassee, Florida, United States of America.

Horticultural Sciences Department, University of Florida, Gainesville, Florida, United States of America.

出版信息

PLoS One. 2021 Nov 4;16(11):e0259565. doi: 10.1371/journal.pone.0259565. eCollection 2021.

DOI:10.1371/journal.pone.0259565
PMID:34735531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8568279/
Abstract

Micronutrient malnutrition is a global concern that affects more than two billion people worldwide. Pea (Pisum sativum) is a nutritious pulse crop with potential to assist in tackling hidden hunger. Here we report seed ionomic data of 96 diverse pea accessions collected via inductively coupled plasma mass spectrometry (ICP-MS). We found a 100 g serving of peas provides the following average percent daily value for U.S. recommendations: 8% Ca, 39% Mg, 73% Cu, 37% Fe, 63% Mn, 45% Zn, 28% K, and 43% P. Correlations were observed between the majority of minerals tested suggesting strong interrelationships between mineral concentration levels. Hierarchical clustering identified fifteen accessions with high-ranking mineral concentrations. Thirty accessions could be compared to earlier inductively coupled optical emission spectrometry (ICP-OES) data, which revealed significant differences particularly for elements at extreme low or high levels of accumulation. These results improve our understanding of the range of variation in mineral content found in peas and provide additional mineral data resources for germplasm selection.

摘要

微量营养素营养不良是一个全球性问题,影响着全球超过 20 亿人。豌豆(Pisum sativum)是一种营养丰富的豆类作物,具有帮助解决隐性饥饿的潜力。在这里,我们报告了通过电感耦合等离子体质谱法(ICP-MS)收集的 96 种不同豌豆品系的种子离子组数据。我们发现,每 100 克豌豆提供以下美国推荐摄入量的平均百分比:8%的钙、39%的镁、73%的铜、37%的铁、63%的锰、45%的锌、28%的钾和 43%的磷。大多数测试的矿物质之间存在相关性,表明矿物质浓度水平之间存在很强的相互关系。层次聚类确定了 15 种具有高矿物质浓度的品系。30 种品系可以与早期的电感耦合光发射光谱法(ICP-OES)数据进行比较,这表明在极端低或高水平积累的元素方面存在显著差异。这些结果提高了我们对豌豆中矿物质含量变化范围的理解,并为种质选择提供了额外的矿物质数据资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/5e0355a01b42/pone.0259565.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/65762df21b57/pone.0259565.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/ad70ba158723/pone.0259565.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/df45cf32ecee/pone.0259565.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/5e0355a01b42/pone.0259565.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/65762df21b57/pone.0259565.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/ad70ba158723/pone.0259565.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/df45cf32ecee/pone.0259565.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e134/8568279/5e0355a01b42/pone.0259565.g004.jpg

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