Evidence map›Paper›PMID 28549456›Full record

ArticleBMC genomics2017

Association mapping of loci controlling genetic and environmental interaction of soybean flowering time under various photo-thermal conditions.

Tingting Mao, Jinyu Li, Zixiang Wen, Tingting Wu, Cunxiang Wu, Shi Sun, Bingjun Jiang, Wensheng Hou, Wenbin Li, Qijian Song and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Pooled it
  2. Article
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  5. A major FT/TFL1 regulatory locus (Frontiers in plant science · 2026
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  6. Review
  7. Genome-wide association analyses for revealing QTN, QTN-by-environment and QTN-by-QTN interactions in soybean phenology.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  15. Dissection of theFrontiers in plant science · 2024
    Article
  16. Molecular breeding for improvement of photothermal adaptability in soybean.Molecular breeding : new strategies in plant improvement · 2023
    Article
  17. Article
  18. Article
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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

12 authors.

Tingting MaoCollege of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China.
Jinyu LiMOA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, the Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Zixiang WenDepartment of Plant, Soil and Microbial Sciences, Michigan State University, 1066 Bogue St., Rm. A384-E, East Lansing, MI, 48824-1325, USA.
Tingting WuMOA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, the Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Cunxiang WuMOA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, the Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Shi SunMOA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, the Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Bingjun JiangMOA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, the Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Wensheng HouMOA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, the Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China.
Wenbin LiCollege of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China.
Qijian SongSoybean Genomics and Improvement Laboratory, US Department of Agriculture, Agricultural Research Service (USDA-ARS), 10300 Baltimore Ave, Beltsville, MD, 20705, USA.
Dechun WangDepartment of Plant, Soil and Microbial Sciences, Michigan State University, 1066 Bogue St., Rm. A384-E, East Lansing, MI, 48824-1325, USA. wangdech@msu.edu.
Tianfu HanCollege of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China. hantianfu@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoybean (Glycine max (L.) Merr.) is a short day plant. Its flowering and maturity time are controlled by genetic and environmental factors, as well the interaction between the two factors. Previous studies have shown that both genetic and environmental factors, mainly photoperiod and temperature, control flowering time of soybean. Additionally, these studies have reported gene × gene and gene × environment interactions on flowering time. However, the effects of quantitative trait loci (QTL) in response to photoperiod and temperature have not been well evaluated. The objectives of the current study were to identify the effects of loci associated with flowering time under different photo-thermal conditions and to understand the effects of interaction between loci and environment on soybean flowering.

methodsDifferent photoperiod and temperature combinations were obtained by adjusting sowing dates (spring sowing and summer sowing) or day-length (12 h, 16 h). Association mapping was performed on 91 soybean cultivars from different maturity groups (MG000-VIII) using 172 SSR markers and 5107 SNPs from the Illumina SoySNP6K iSelectBeadChip. The effects of the interaction between QTL and environments on flowering time were also analysed using the QTXNetwork.

resultsLarge-effect loci were detected on Gm 11, Gm 16 and Gm 20 as in previous reports. Most loci associated with flowering time are sensitive to photo-thermal conditions. Number of loci associated with flowering time was more under the long day (LD) than under the short day (SD) condition. The variation of flowering time among the soybean cultivars mostly resulted from the epistasis × environment and additive × environment interactions. Among the three candidate loci, i.e. Gm04_4497001 (near GmCOL3a), Gm16_30766209 (near GmFT2a and GmFT2b) and Gm19_47514601 (E3 or GmPhyA3), the Gm04_4497001 may be the key locus interacting with other loci for controlling soybean flowering time.

conclusionThe effects of loci associated with the flowering time of soybean were dependent upon the photo-thermal conditions. This study facilitates the understanding of the genetic mechanism of soybean flowering and molecular breeding for the improvement of soybean adaptability to specific and/or broad regions.

Indexed as

Chromosome MappingGene-Environment InteractionPhotoperiodTemperatureFlowersGenotypeGlycine maxLinkage DisequilibriumPolymorphism, Single NucleotideFlowering timeGene by environment interactionGenetic architecturePhoto-thermal conditionSoybean (Glycine max)

Identifiers

PMID28549456
PMCPMC5446728

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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.