Evidence map›Paper›PMID 25367381›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015

Fine mapping of the qLOP2 and qPSR2-1 loci associated with chilling stress tolerance of wild rice seedlings.

Ning Xiao, Wei-nan Huang, Ai-hong Li, Yong Gao, Yu-hong Li, Cun-hong Pan, Hongjuan Ji, Xiao-xiang Zhang, Yi Dai, Zheng-yuan Dai and 1 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

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24citing papers in PubMed
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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
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  5. Meta-QTL and ortho analysis unravels the genetic architecture and key candidate genes for cold tolerance at seedling stage in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. OsWRKY115 on qCT7 links to cold tolerance in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Fine mapping of QTL qCTB10-2 that confers cold tolerance at the booting stage in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Article
  19. Review
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ning XiaoCollege of Bioscience and Biotechnology and Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, Jiangsu Province, China, yzxiaoning@163.com.
Wei-nan Huang
Ai-hong Li
Yong Gao
Yu-hong Li
Cun-hong Pan
Hongjuan Ji
Xiao-xiang Zhang
Yi Dai
Zheng-yuan Dai
Jian-min Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageUsing leaf osmotic potential and plant survival rate as chilling-tolerant trait indices, we identified two major quantitative trait loci qLOP2 and qPSR2 - 1 (39.3-kb region) and Os02g0677300 as the cold-inducible gene for these loci. Chilling stress tolerance (CST) at the seedling stage is an important trait affecting rice production in temperate climate and high-altitude areas. To identify quantitative trait loci (QTLs) associated with CST, a mapping population consisting of 151 BC(2)F(1) plants was constructed by using chilling-tolerant Dongxiang wild rice (Oryza rufipogon Griff.) as a donor parent and chilling-sensitive indica as a recurrent parent. With leaf osmotic potential (LOP) and plant survival rate (PSR) as chilling-tolerant trait indexes, two major QTLs, qLOP2 (LOD = 3.8) and qPSR2-1 (LOD = 3.3), were detected on the long arm of chromosome 2 by composite interval mapping method in QTL Cartographer software, which explained 10.1 and 12.3% of the phenotypic variation, respectively. In R/QTL analyzed result, their major effects were also confirmed. Using molecular marker RM318 and RM106, qLOP2 and qPSR2-1 have been introgressed into chilling-sensitive varieties (93-11 and Yuefeng) by marker-assisted selection procedure (MAS), which resulted in 16 BC(5)F(3) BILs that chilling tolerance have significantly enhanced compare with wild-type parents (P < 0.01). Therefore, two large segregating populations of 11,326 BC(4)F(2) and 8,642 BC(4)F(3) were developed to fine mapping of qLOP2 and qPSR2-1. Lastly, they were dissected to a 39.3-kb candidate region between marker RM221 and RS8. Expression and sequence analysis results indicated that Os02g0677300 was a cold-inducible gene for these loci. Our study provides novel alleles for improving rice CST by MAS and contributes to the understanding of its molecular mechanisms.

Indexed as

Chromosome MappingCold TemperatureQuantitative Trait LociAllelesDNA, PlantGenes, PlantGenetic LinkageOryzaPhenotypeStress, PhysiologicalDNA, Plant

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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.