Identification and pyramiding of QTLs for cold tolerance at the bud bursting and the seedling stages by use of single segment substitution lines in rice (Oryza sativa L.)

Yang, Ting; Zhang, Shaohong; Zhao, Junliang; Liu, Qing; Huang, Zhanghui; Mao, Xingxue; Dong, Jingfang; Wang, Xiaofei; Zhang, Guiquan; Liu, Bin

doi:10.1007/s11032-016-0520-9

Cited by 39 publications

(19 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present results are closely associated with the early seedling growth-related QTLs qCTS11(1)-2 and qCTS11(2)-2 (Ranawake et al 2014) and germination QTL qCTGERM11-5 under cold stress (Shakiba et al 2017). Further, two major M-QTLs, qLTG(I) 1 (16.08%) and qLTGS(I-II) 1 (16.57%), on chromosome 1 at the 41.0 to 42.4 Mb region were clearly associated with the germination and seedling tolerance QTLs qCTGERM1-8 and qCTS1-5 and the other QTLs qSW1-1 to qSW1-4 (seed weight per plant) and qSWTCT1-1 (seed weight per panicle) expressed in the same genomic region under cold stress at the reproductive stage (Cui et al 2013;Yang et al 2016;Shakiba et al 2017). Similarly, two other QTLs, qLTG(I) 5 (18.56%) and qLTGS(I) 5 (23.38%), on chromosome 5 at the 28.65 Mb region were concomitant with qSWTNCT5 (seed weight per panicle), qCTB5 (cold tolerance at booting stage), and seedling-stage QTLs qCTSR5-1 (cold tolerance seed survival rate) and qCTSD5-2 (cold tolerance severity of damage) (Andaya and Mackill 2003b;Ranawake et al 2014;Shakiba et al 2017;Zhang et al 2018b).…”

Section: Prime M-qtls For Future Breeding Programsmentioning

confidence: 95%

Identification of main-effect quantitative trait loci (QTLs) for low-temperature stress tolerance germination- and early seedling vigor-related traits in rice (Oryza sativa L.)

et al. 2020

View full text Add to dashboard Cite

An attempt was made in the current study to identify the main-effect and co-localized quantitative trait loci (QTLs) for germination and early seedling growth traits under low-temperature stress (LTS) conditions in rice. The plant material used in this study was an early backcross population of 230 introgression lines (ILs) in BC I F 7 generation derived from the Weed Tolerant Rice-1 (WTR-1) (as the recipient) and Haoannong (HNG) (as the donor). Genetic analyses of LTS tolerance revealed a total of 27 main-effect quantitative trait loci (M-QTLs) mapped on 12 chromosomes. These QTLs explained more than 10% of phenotypic variance (PV), and average PV of 12.71% while employing 704 high-quality SNP markers. Of these 27 QTLs distributed on 12 chromosomes, 11 were associated with low-temperature germination (LTG), nine with low-temperature germination stress index (LTGS), five with root length stress index (RLSI), and two with biomass stress index (BMSI) QTLs, shoot length stress index (SLSI) and root length stress index (RLSI), seven with seed vigor index (SVI), and single QTL with root length (RL). Among them, five significant major QTLs (qLTG(I) 1 , qLTGS(I) 1-2 , qLTG(I) 5 , qLTGS(I) 5 , and qLTG(I) 7) mapped on chromosomes 1, 5, and 7 were associated with LTG and LTGS traits and the PV explained ranged from 16 to 23.3%. The genomic regions of these QTLs were co-localized with two to six QTLs. Most of the QTLs were growth stage-specific and found to harbor QTLs governing multiple traits. Eight chromosomes had more than four QTLs and were

show abstract

Section: Prime M-qtls For Future Breeding Programsmentioning

confidence: 95%

Identification of main-effect quantitative trait loci (QTLs) for low-temperature stress tolerance germination- and early seedling vigor-related traits in rice (Oryza sativa L.)

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Cold tolerance of rice at different growth stages is probably controlled by different genes3. In the past decades, although many QTLs conferring cold tolerance at the vegetative or reproductive stage have been mapped on almost 12 chromosomes247891011121314151617181920, only a few genes conferring cold tolerance at the vegetative growth stage have been isolated, such as COLD1 , qLTG3-1 and LTG1 (refs 21, 22, 23). Only one gene Ctb1 (ref.…”

mentioning

confidence: 99%

Natural variation in CTB4a enhances rice adaptation to cold habitats

et al. 2017

View full text Add to dashboard Cite

Low temperature is a major factor limiting rice productivity and geographical distribution. Improved cold tolerance and expanded cultivation to high-altitude or high-latitude regions would help meet growing rice demand. Here we explored a QTL for cold tolerance and cloned the gene, CTB4a (cold tolerance at booting stage), encoding a conserved leucine-rich repeat receptor-like kinase. We show that different CTB4a alleles confer distinct levels of cold tolerance and selection for variation in the CTB4a promoter region has occurred on the basis of environmental temperature. The newly generated cold-tolerant haplotype Tej-Hap-KMXBG was retained by artificial selection during temperate japonica evolution in cold habitats for low-temperature acclimation. Moreover, CTB4a interacts with AtpB, a beta subunit of ATP synthase. Upregulation of CTB4a correlates with increased ATP synthase activity, ATP content, enhanced seed setting and improved yield under cold stress conditions. These findings suggest strategies to improve cold tolerance in crop plants.

show abstract

“…In the past two decades, we have constructed a SSSL library by the using of HJX74 as the recipient and 43 accessions from 7 species, including 5 wild Oryza species of AA genome as donors (Zhang et al 2004;Xi et al 2006;Zhang 2019). The SSSLs have been used to map QTLs (Zhang et al 2012;Yang et al 2016;Zhou et al 2017b), to clone genes (Wang et al 2012;Sui et al 2019), and to analyze allelic variation (Teng et al 2012;Cai et al 2013). Based on the SSSL library, we have developed a platform of breeding by design for cytoplasmic male sterility (CMS) lines and restorer lines, and a series of CMS lines and restorer lines were developed (Dai et al 2015(Dai et al , 2016Luan et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Substitution mapping of the major quantitative trait loci controlling stigma exsertion rate from Oryza glumaepatula

Tan

Zou

Zheng

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Stigma exsertion rate (SER) is a key determinant for the outcrossing ability of male sterility lines (MSLs) in hybrid rice seed production. In the process of domestication, the outcrossing ability of cultivated rice varieties decreased, while that of wild Oryza species kept strong. Here, we detected the quantitative trait loci (QTLs) controlling SER using a set of single-segment substitution lines (SSSLs) derived from O. glumaepatula , a wild Oryza species. Results: Seven QTLs for SER were located on 5 chromosomes. qSER-1a and qSER-1b were located on chromosome 1. qSER-3a and qSER-3b were mapped on chromosome 3, and qSER-3b was further located at an estimated interval of 898.8kb by secondary substitution mapping. qSER-5 , qSER-9 and qSER-10 were identified on chromosomes 5, 9 and 10, respectively, and qSER-9 was delimited to an estimated region of 551.9kb by secondary substitution mapping. The additive effects of the 7 QTLs ranged from 10.6% to 14.8%, which were higher than those of most loci for SER reported previously. Conclusions: qSER-1a and qSER-1b are novel loci for SER on chromosome 1. All of the 7 QTLs have major effects on SER. The major QTLs of SER will help to develop MSLs with strong outcrossing ability.

show abstract

Identification and pyramiding of QTLs for cold tolerance at the bud bursting and the seedling stages by use of single segment substitution lines in rice (Oryza sativa L.)

Cited by 39 publications

References 20 publications

Identification of main-effect quantitative trait loci (QTLs) for low-temperature stress tolerance germination- and early seedling vigor-related traits in rice (Oryza sativa L.)

Identification of main-effect quantitative trait loci (QTLs) for low-temperature stress tolerance germination- and early seedling vigor-related traits in rice (Oryza sativa L.)

Natural variation in CTB4a enhances rice adaptation to cold habitats

Substitution mapping of the major quantitative trait loci controlling stigma exsertion rate from Oryza glumaepatula

Contact Info

Product

Resources

About