Evidence map›Paper›PMID 27446154›Full record

ArticleFrontiers in plant science2016

A Genetic Relationship between Phosphorus Efficiency and Photosynthetic Traits in Soybean As Revealed by QTL Analysis Using a High-Density Genetic Map.

Hongyan Li, Yuming Yang, Hengyou Zhang, Shanshan Chu, Xingguo Zhang, Dongmei Yin, Deyue Yu, Dan Zhang

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 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. AFrontiers in plant science · 2020
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  19. Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
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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.

Hongyan LiCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Yuming YangNational Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Nanjing Agricultural University Nanjing, China.
Hengyou ZhangDepartment of Biology, University of North Carolina Charlotte, NC, USA.
Shanshan ChuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Xingguo ZhangCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.
Dongmei YinCollaborative 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.
Dan ZhangCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant productivity relies on photosynthesis, and the photosynthetic process relies on phosphorus (P). The genetic basis of photosynthesis and P efficiency (PE) affecting yield has been separately characterized in various crop plants. However, the genetic relationship between PE and photosynthesis remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation, linkage mapping, and expression analysis to dissect the relationship between PE and photosynthesis. We found significant phenotypic correlations between PE and photosynthetic related traits, particularly under low P stress. A total of 172 QTLs for both traits were detected and classified into 29 genomic regions. 12 (41.4%) of 29 regions were detected to be associated with both PE and photosynthetic related traits. Three major QTLs, q14-2, q15-2, and q19-2, were found to be associated with both traits and explained 6.6-58.9% of phenotypic variation. A photosynthetic-specific QTL cluster, q12-1, was detected under both normal and low P conditions, suggesting that genes responsible for this region were less effected by low P stress, and could be used in high photosynthetic efficiency breeding programs. In addition, several candidate genes with significantly differential expression upon low P stress, such as a purple acid phosphatase gene (Glyma.19G193900) within q19-2 region, were considered as promising candidates involved in regulating both soybean PE and photosynthetic capacity. Our results reveal a significant genetic relationship between PE and photosynthetic traits, and uncover several major genomic regions specific or common to these traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved P efficiency and photosynthetic capacity.

Indexed as

genetic relationshiphigh-density genetic mapphosphorus efficiencyphotosynthetic traitsQTL analysissoybean

Identifiers

PMID27446154
PMCPMC4923142

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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.