The first linkage map for a recombinant inbred line population in cotton (Gossypium barbadense) and its use in studies of PEG-induced dehydration tolerance

Euphytica ◽  
2015 ◽  
Vol 205 (3) ◽  
pp. 941-958 ◽  
Author(s):  
Abdelraheem Abdelraheem ◽  
Ezzat Mahdy ◽  
Jinfa Zhang
PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12504
Author(s):  
Guan Li ◽  
Yichen Cheng ◽  
Man Yin ◽  
Jinyu Yang ◽  
Jiezheng Ying ◽  
...  

Background The panicle is the most important organ in rice, and all the panicle-related traits are correlated with rice grain yield. Understanding the underlying genetic mechanisms controlling panicle development is very important for improving rice production. Methods Nine panicle-related traits including heading date, panicle length, number of primary branches, number of secondary branches, number of grains per panicle, number of panicles per plant, number of filled grains per plant, seed-setting rate, and grain yield per plant were investigated. To map the quantitative trait loci (QTLs) for the nine panicle-related traits, a PCR-based genetic map with 208 markers (including 121 simple sequence repeats and 87 InDels) and a high-density linkage map with 18,194 single nucleotide polymorphism (SNP) markers were both used. Results Using a recombinant inbred line population derived from an indica variety Huanghuazhan and a japonica line Jizi 1560, a total of 110 and 112 QTLs were detected for panicle-related traits by PCR-based genetic map and by high-density linkage map, respectively. Most of the QTLs were clustered on chromosomes 1, 2, 3, 6, and 7 while no QTLs were detected on chromosome 10. Almost all the QTLs with LOD values of more than 5.0 were repeatedly detected, indicating the accuracy of the two methods and the stability of the QTL effects. No genes for panicle-related traits have been previously reported in most of these regions. QTLs found in JD1006–JD1007 and RM1148–RM5556 with high LOD and additive values deserved further research. The results of this study are beneficial for marker-assisted breeding and provide research foundation for further fine-mapping and cloning of these QTLs for panicle-related traits.


Plant Disease ◽  
2020 ◽  
Author(s):  
Caiyun Liu ◽  
Wei Guo ◽  
Qiaofeng Zhang ◽  
Bisheng Fu ◽  
zujun yang ◽  
...  

Wheat sharp eyespot, a disease mainly caused by soil-borne fungus Rhizoctonia cerealis, is a threat to world wheat production. Wheat’s genetic resistance to sharp eyespot is a potential approach to reducing the application of fungicides and farming practice inputs. To identify the genetic basis of sharp eyespot resistance in Niavt14, a recombinant inbred line population comprising 215 F8 lines from Niavt14/Xuzhou25 was developed. An earlier linkage map (148 SSR markers) was updated with 5,792 polymorphic Affymetrix AxiomTM 55K SNPs to a new map of 5684.2 cM with 1,406 non-redundant markers. The new linkage map covered all 21 chromosomes of common wheat and showed a good collinearity with the IWGSC RefSeq v1.0 genome. We conducted quantitative trait locus (QTL) mapping for sharp eyespot resistance using the adult plant response data from the field of five consecutive growing seasons and one greenhouse test. Two stable QTL on chromosomes 2B and 7D that were identified in the previous study were confirmed, and three novel stable QTL, explaining 4.0 to 17.5% phenotypic variation, were mapped on 1D, 6D, and 7A, which were independent of QTL for phenology and plant height. The QTL on 1D, 2B, 6D, and 7A showed low frequencies in 384 landraces (0-10%) and 269 elite cultivars (5-23%) from the southern winter wheat region and the Yellow and Huai River Valley facultative wheat region in China, respectively. These identified QTL could be used in wheat breeding programs for improving sharp eyespot resistance through marker-assisted selection.


2013 ◽  
Vol 63 (3) ◽  
pp. 292-300 ◽  
Author(s):  
Cina Ann Vipin ◽  
David J. Luckett ◽  
John D.I. Harper ◽  
Gavin J. Ash ◽  
Andrzej Kilian ◽  
...  

1998 ◽  
Vol 14 (2) ◽  
pp. 259-271 ◽  
Author(s):  
Carlos Alonso-Blanco ◽  
Anton J. M. Peeters ◽  
Maarten Koornneef ◽  
Clare Lister ◽  
Caroline Dean ◽  
...  

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