1,135 ionomes reveal the global pattern of leaf and seed mineral nutrient and trace element diversity in Arabidopsis thaliana

被引:29
作者
Campos, Ana Carolina A. L. [1 ]
vanDijk, William F. A. [1 ]
Ramakrishna, Priya [2 ,3 ]
Giles, Tom [4 ]
Korte, Pamela [5 ]
Douglas, Alex [1 ]
Smith, Pete [1 ]
Salt, David E. [1 ,2 ,3 ]
机构
[1] Univ Aberdeen, Inst Biol & Environm Sci, Cruickshank Bldg, Aberdeen AB24 3UU, Scotland
[2] Univ Nottingham, Future Food Beacon Excellence, Sutton Bonington Campus, Loughborough LE12 5RD, Leics, England
[3] Univ Nottingham, Sch Biosci, Sutton Bonington Campus, Loughborough LE12 5RD, Leics, England
[4] Univ Nottingham, Digital Res Serv & Adv Data Anal Ctr, Sutton Bonington Campus, Loughborough LE12 5RD, Leics, England
[5] Gregor Mendel Inst Mol Plant Biol, Vienna, Austria
基金
英国生物技术与生命科学研究理事会;
关键词
Arabidopsis thaliana; Ionomics; natural variation; data normalisation methods; high‐ throughput phenotyping; METAL TRANSPORTER; NATURAL VARIATION; P-1B-TYPE ATPASE; LOCAL ADAPTATION; CASPARIAN STRIP; BRASSICA-NAPUS; PROTEIN; ATHMA4; ZN; HOMEOSTASIS;
D O I
10.1111/tpj.15177
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Soil is a heterogeneous reservoir of essential elements needed for plant growth and development. Plants have evolved mechanisms to balance their nutritional needs based on availability of nutrients. This has led to genetically based variation in the elemental composition, the 'ionome', of plants, both within and between species. We explore this natural variation using a panel of wild-collected, geographically widespread Arabidopsis thaliana accessions from the 1001 Genomes Project including over 1,135 accessions, and the 19 parental accessions of the Multi-parent Advanced Generation Inter-Cross (MAGIC) panel, all with full-genome sequences available. We present an experimental design pipeline for high-throughput ionomic screenings and analyses with improved normalisation procedures to account for errors and variability in conditions often encountered in large-scale, high-throughput data collection. We report quantification of the complete leaf and seed ionome of the entire collection using this pipeline and a digital tool, , to interact with the dataset. We describe the pattern of natural ionomic variation across the A. thaliana species and identify several accessions with extreme ionomic profiles. It forms a valuable resource for exploratory genetic mapping studies to identify genes underlying natural variation in leaf and seed ionome and genetic adaptation of plants to soil conditions.
引用
收藏
页码:536 / 554
页数:19
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