Evidence map›Paper›PMID 36423229›Full record

ArticlePlant physiology2023

Fast X-ray fluorescence microscopy provides high-throughput phenotyping of element distribution in seeds.

Zi-Wen Ren, Meng Yang, Brigid A McKenna, Xing-Ming Lian, Fang-Jie Zhao, Peter M Kopittke, Enzo Lombi, Peng Wang

Open access · greenAbstract read
In one paragraph

Article in Plant physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Zi-Wen RenState Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.ORCID 0000-0003-0057-3442
Meng YangCollege of Agriculture, Guangxi University, Nanning, Guangxi 530004, China.
Brigid A McKennaSchool of Agriculture and Food Sciences, The University of Queensland, St. Lucia, Queensland 4072, Australia.ORCID 0000-0003-0089-4502
Xing-Ming LianNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0000-0002-5307-2839
Fang-Jie ZhaoState Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.ORCID 0000-0002-0164-169X
Peter M KopittkeSchool of Agriculture and Food Sciences, The University of Queensland, St. Lucia, Queensland 4072, Australia.ORCID 0000-0003-4948-1880
Enzo LombiFuture Industries Institute, University of South Australia, Mawson Lakes, South Australia 5095, Australia.ORCID 0000-0003-3384-0375
Peng WangState Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.ORCID 0000-0001-8622-8767
Nanjing Agricultural University · CNThe University of Queensland · AUGuangxi University · CNHuazhong Agricultural University · CNUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration, chemical speciation, and spatial distribution of essential and toxic mineral elements in cereal seeds have important implications for human health. To identify genes responsible for element uptake, translocation, and storage, high-throughput phenotyping methods are needed to visualize element distribution and concentration in seeds. Here, we used X-ray fluorescence microscopy (μ-XRF) as a method for rapid and high-throughput phenotyping of seed libraries and developed an ImageJ-based pipeline to analyze the spatial distribution of elements. Using this method, we nondestructively scanned 4,190 ethyl methanesulfonate (EMS)-mutagenized M1 rice (Oryza sativa) seeds and 533 diverse rice accessions in a genome-wide association study (GWAS) panel to simultaneously measure concentrations and spatial distribution of elements in the embryo, endosperm, and aleurone layer. A total of 692 putative mutants and 65 loci associated with the spatial distribution of elements in rice seed were identified. This powerful method provides a basis for investigating the genetics and molecular mechanisms controlling the accumulation and spatial variations of mineral elements in plant seeds.

Indexed as

Genome-Wide Association StudyOryzaHumansMicroscopy, FluorescenceMineralsSeedsX-RaysMinerals

Identifiers

PMID36423229
PMCPMC10022620
OpenAlexW4309908688

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.