Evidence map›Paper›PMID 29587637›Full record

ArticleBMC genomics2018

Combining QTL-seq and linkage mapping to fine map a wild soybean allele characteristic of greater plant height.

Xiaoli Zhang, Wubin Wang, Na Guo, Youyi Zhang, Yuanpeng Bu, Jinming Zhao, Han Xing

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

35 citing papers in PubMed.

  1. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  8. Frontiers in plant science · 2023
    Article
  9. Identification of superior haplotypes in a diverse natural population for breeding desirable plant height in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Protein Biofortification in Lentils (Frontiers in plant science · 2022
    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

7 authors.

Xiaoli ZhangSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China.
Wubin WangSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China.
Na GuoSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China.
Youyi ZhangSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China.
Yuanpeng BuSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China.
Jinming ZhaoSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China. jmz3000@njau.edu.cn.
Han XingSoybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production Nanjing Agricultural University, Nanjing 210095, China, Nanjing Agricultural University, Nanjing, 210095, China. hanx@njau.edu.cn.ORCID 0000-0003-3200-2572

Funding

Modern Agro-industry Technology Research System of China CARS-004-PS10National Key R&D Program of China 2017YFD0101500National Key R&D Program of China 2017YFD0102002National Natural Science Foundation of China Grant No.31301343
6 · The paper itself

Abstract

backgroundPlant height (PH) is an important agronomic trait and is closely related to yield in soybean [Glycine max (L.) Merr.]. Previous studies have identified many QTLs for PH. Due to the complex genetic background of PH in soybean, there are few reports on its fine mapping.

resultsIn this study, we used a mapping population derived from a cross between a chromosome segment substitution line CSSL3228 (donor N24852 (G. Soja), a receptor NN1138-2 (G. max)) and NN1138-2 to fine map a wild soybean allele of greater PH by QTL-seq and linkage mapping. We identified a QTL for PH in a 1.73 Mb region on soybean chromosome 13 through QTL-seq, which was confirmed by SSR marker-based classical QTL mapping in the mapping population. The linkage analysis showed that the QTLs of PH were located between the SSR markers BARCSOYSSR_13_1417 and BARCSOYSSR_13_1421 on chromosome 13, and the physical distance was 69.3 kb. RT-PCR and sequence analysis of possible candidate genes showed that Glyma.13 g249400 revealed significantly higher expression in higher PH genotypes, and the gene existed 6 differences in the amino acids encoding between the two parents.

conclusionsData presented here provide support for Glyma.13 g249400 as a possible candidate genes for higher PH in wild soybean line N24852.

Indexed as

Chromosomes, PlantGenetic LinkageQuantitative Trait LociAllelesAmino Acid SequenceChromosome MappingGenotypeGlycine maxPhenotypePlant ProteinsSeedsSequence HomologyPlant ProteinsCandidate geneLinkage mappingPlant heightQTL-seqWild soybean

Identifiers

PMID29587637
PMCPMC5870336

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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.