Evidence map›Paper›PMID 27065041›Full record

ArticleFrontiers in plant science2016

High-Density Genetic Mapping Identifies New Major Loci for Tolerance to Low-Phosphorus Stress in Soybean.

Dan Zhang, Hongyan Li, Jinshe Wang, Hengyou Zhang, Zhenbin Hu, Shanshan Chu, Haiyan Lv, Deyue Yu

Abstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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  10. Prospects of genetics and breeding for low-phosphate tolerance: an integrated approach from soil to cell.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dan ZhangCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Hongyan LiCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Jinshe WangZhengzhou National Subcenter for Soybean Improvement/Key Laboratory of Oil Crops in Huanghuaihai Plains, Institute of Industrial Crops, Henan Academy of Agricultural Sciences Zhengzhou, China.
Hengyou ZhangDepartment of Biological Sciences, University of North Carolina at Charlotte Charlotte, NC, USA.
Zhenbin HuAgronomy Department, Kansas State University Manhattan, KS, USA.
Shanshan ChuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Haiyan LvCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Deyue YuNational Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Nanjing Agricultural University Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorus (P) is essential for all living cells and organisms, and low-P stress represents a major constraint on plant growth and yield worldwide. Soybean is an important economical resource of protein and oil for human and animals, and soybean is also a high-P demand species that is sensitive to low-P stress, which is considered a major constraint on soybean production. However, P efficiency is an important complex quantitative trait involving multiple genes, and the mechanisms underlying soybean P efficiency are largely unknown. Here, we reported the construction of a high-density genetic map using a specific-locus amplified fragment sequencing (SLAF-seq) strategy in soybean. This map, spanning 3020.59 cM in length, contained 6159 markers on 20 chromosomes, with an average distance of 0.49 cM between adjacent markers. Based on this map, 20 loci, including eight novel loci, associated with P efficiency-related traits were identified across multiple years and treatments. The confidence intervals of almost all QTLs were refined significantly, and the accuracy of this map was evidenced by coincident detections of the previously identified P efficiency-related genes GmACP1 and GmPT1. Notably, a highly significant novel QTL located on chromosome 4, q4-2, was identified across traits, years and treatments. Several candidate genes, such as a pectin methylesterase-encoding gene (Glyma.04G214000) and a protein kinase gene (Glyma.13G161900), with significantly differential expression upon low-P stress were considered as promising candidates involved in regulating soybean P efficiency. Markers that tightly associated with P efficiency could be used for marker-assisted selection in a soybean P efficient breeding program. Further, dissection of these QTLs will facilitate gene cloning underlying P efficiency in soybean, and increase our understanding of efficient use of P in enhancing crop yield.

Indexed as

high density genetic mapphosphorus efficiencyQTL mappingSLAF-seqsoybean

Identifiers

PMID27065041
PMCPMC4811872

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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.