Evidence map›Paper›PMID 27067010›Full record

ArticleScientific reports2016

Genetic architecture and mechanism of seed number per pod in rapeseed: elucidated through linkage and near-isogenic line analysis.

Yuhua Yang, Jiaqin Shi, Xinfa Wang, Guihua Liu, Hanzhong Wang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Cytological and genetic analyses of the seed number per silique locus BnSNSC09 in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. Genome-wide association study reveals genetic loci for seed density per silique in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Genome-wide association study for candidate genes controlling seed yield and its components in rapeseed (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  13. Article
  14. Both overlapping and independent loci underlie seed number per pod and seed weight inMolecular breeding : new strategies in plant improvement · 2021
    Article
  15. Article
  16. QTL Analysis of Five Silique-Related Traits inFrontiers in plant science · 2021
    Article
  17. Article
  18. Article
  19. Introgression Breeding in Cowpea [Frontiers in plant science · 2020
    Review
  20. Article
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

5 authors.

Yuhua YangOil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China.
Jiaqin ShiOil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China.
Xinfa WangOil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China.
Guihua LiuOil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China.
Hanzhong WangOil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed number per pod (SNPP) is one of the major yield components and breeding targets in rapeseed that shows great variation and is invaluable for genetic improvement. To elucidate the genetic architecture and uncover the mechanism of SNPP, we identified five quantitative trait loci (QTLs) using the BnaZNRIL population, which were integrated with those of previous studies by physical map to demonstrate a complex and relatively complete genetic architecture of SNPP. A major QTL, qSN.A6, was successfully fine-mapped from 1910 to 267 kb using near-isogenic line (NIL). In addition, qSN.A6 exhibited an antagonistic pleiotropy on seed weight (SW), which is caused by a physiological interaction in which SNPP acts "upstream" of SW. Because the negative effect of qSN.A6 on SW cannot fully counteract its positive effect on SNPP, it also enhanced the final yield (17.4%), indicating its great potential for utilization in breeding. The following genetic and cytological experiments further confirmed that the different rate of ovule abortion was responsible for the ~5 seed difference between Zhongshuang11 and NIL-qSN.A6. This systematic approach to dissecting the comprehensive genetic architecture of SNPP and characterizing the underlying mechanism has advanced the understanding of SNPP and will facilitate the development of high-yield cultivars.

Indexed as

Quantitative Trait, HeritableBrassica rapaGene OrderPhysical Chromosome MappingQuantitative Trait LociSeeds

Identifiers

PMID27067010
PMCPMC4828700

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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.