Literature DB >> 27454560

Extreme QTL mapping of germination speed in Arabidopsis thaliana.

Wei Yuan1, Jonathan M Flowers1,2, Dustin J Sahraie1, Ian M Ehrenreich3, Michael D Purugganan1.   

Abstract

Seed germination is a key life history transition for annual plants and partly determines lifetime performance and fitness. Germination speed, the elapsed time for a nondormant seed to germinate, is a poorly understood trait important for plants' competitiveness and fitness in fluctuating environments. Germination speed varied by 30% among 18 Arabidopsis thaliana populations measured, and exhibited weak negative correlation with flowering time and seed weight, with significant genotype effect (P < 0.005). To dissect the genetic architecture of germination speed, we developed the extreme QTL (X-QTL) mapping method in A. thaliana. The method has been shown in yeast to increase QTL mapping power by integrating selective screening and bulk-segregant analysis in a very large mapping population. By pooled genotyping of top 5% of rapid germinants from ~100 000 F3 individuals, three X-QTL regions were identified on chromosomes 1, 3 and 4. All regions were confirmed as QTL regions by sequencing 192 rapid germinants from an independent F3 selection experiment. Positional overlaps were found between X-QTLs and previously identified seed, life history and fitness QTLs. Our method provides a rapid mapping platform in A. thaliana with potentially greater power. One can also relate identified X-QTLs to the A. thaliana physical map, facilitating candidate gene identification.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  bulk-segregant analysis; life history; quantitative genomics; seed ecology

Mesh:

Year:  2016        PMID: 27454560     DOI: 10.1111/mec.13768

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  6 in total

1.  GWAS and transcriptome analysis reveal MADS26 involved in seed germination ability in maize.

Authors:  Langlang Ma; Chen Wang; Yu Hu; Wei Dai; Zhenjuan Liang; Chaoying Zou; Guangtang Pan; Thomas Lübberstedt; Yaou Shen
Journal:  Theor Appl Genet       Date:  2022-03-05       Impact factor: 5.699

2.  Evaluation of nine statistics to identify QTLs in bulk segregant analysis using next generation sequencing approaches.

Authors:  Carla de la Fuente Cantó; Yves Vigouroux
Journal:  BMC Genomics       Date:  2022-07-06       Impact factor: 4.547

3.  A comparison of seed germination coefficients using functional regression.

Authors:  Renáta Talská; Jitka Machalová; Petr Smýkal; Karel Hron
Journal:  Appl Plant Sci       Date:  2020-07-19       Impact factor: 1.936

4.  Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus.

Authors:  Hongbo Chao; Hao Wang; Xiaodong Wang; Liangxing Guo; Jianwei Gu; Weiguo Zhao; Baojun Li; Dengyan Chen; Nadia Raboanatahiry; Maoteng Li
Journal:  Sci Rep       Date:  2017-04-10       Impact factor: 4.379

5.  Associating transcriptional regulation for rapid germination of rapeseed (Brassica napus L.) under low temperature stress through weighted gene co-expression network analysis.

Authors:  Tao Luo; Mengzhu Xian; Chen Zhang; Chunni Zhang; Liyong Hu; Zhenghua Xu
Journal:  Sci Rep       Date:  2019-01-11       Impact factor: 4.379

6.  Cryptic Genetic Variation for Arabidopsis thaliana Seed Germination Speed in a Novel Salt Stress Environment.

Authors:  Wei Yuan; Jonathan M Flowers; Dustin J Sahraie; Michael D Purugganan
Journal:  G3 (Bethesda)       Date:  2016-10-13       Impact factor: 3.154

  6 in total

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