Evidence map›Paper›PMID 41424572›Full record

ArticleFrontiers in plant science2025

Genetic dissection of nutrient element enrichment in

Lina Fan, Zaid Chachar, Ming Chen, Yucong Li, Jiarui Chen, Huiyi He, Jiakun Wen, Saira Gul, Ruiqiang Lai, Yongwen Qi

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Lina FanCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Zaid ChacharCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Ming ChenCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Yucong LiCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Jiarui ChenCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Huiyi HeInstitute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, China.
Jiakun WenCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Saira GulShenzhen Wemed Medical Equipment Co., Ltd., Shenzhen, China.
Ruiqiang LaiCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.
Yongwen QiCollege of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sugarcane is a critical global crop, primarily used for sugar production, with applications spanning the food, industrial, and pharmaceutical sectors. Improving nutrient efficiency in sugarcane varieties is essential to enhance yield, ensure sugar security, and improve nutritional value. Methods: This study analyzed 109 sugarcane stem segment samples to assess major (magnesium, calcium, phosphorus) and trace (manganese, iron, copper) nutrient content, along with SNP genotyping data. Two multi-model Genome-Wide Association Study (GWAS) approaches-MLM_Q+Kinship and MLM_PCA+Kinship-were employed to identify SNPs associated with nutritional traits. Results: Under a P-value threshold of <10⁻⁴, the MLM_Q+Kinship approach identified SNPs linked to several traits, including total sugar (4), nitrogen (7), phosphorus (179), potassium (4), sulfur (41), magnesium (26), calcium (20), and silicon (66). Similar results were obtained with MLM_PCA+Kinship. A stricter threshold (P < 1.53×10⁻⁶) yielded 59 reliable "Peak" SNP loci, which explained over 15% of phenotypic variance. Notably, SNPs 3B_33126337 and 5C_64683842 were strongly associated with magnesium, calcium, and iron utilization. Genotypic analysis revealed superior nutrient accumulation in genotypes TT (3B_33126337) and AA/AG (2D_29369331, 3B_14919731). Bioinformatics analysis identified 12 candidate genes involved in magnesium, calcium, and manganese metabolism, linked to pyruvate metabolism, purine metabolism, and glycolysis/gluconeogenesis pathways. RT-qPCR analysis confirmed significant expression differences in three genes (Sspon.003B0015150, Sspon.002D0013560, and Sspon.003B0007030) between genotypes, suggesting their potential as key targets. Conclusion: These findings provide valuable genetic markers and candidate genes for the development of nutrient-efficient, high-yield sugarcane varieties, contributing to advancements in both agriculture and nutrition.

Indexed as

food healthgenetic dissectionGWASnutrient elementSaccharum officinarum

Identifiers

PMID41424572
PMCPMC12711768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.