A novel QTL QTrl.saw-2D.2 associated with the total root length identified by linkage and association analyses in wheat (Triticum aestivum L.)

Zheng, Xingwei; Wen, Xiaojie; Liao, Qiao; Zhao, Jiajia; Zhang, Xiaojun; Li, Xin; Zhang, Shuwei; Yang, Zujun; Chang, Zhijian; Chen, Jianli; Zheng, Jun

doi:10.1007/s00425-019-03154-x

Cited by 36 publications

(42 citation statements)

References 66 publications

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“…Furthermore, QTLs of yield traits have been found to overlap with QTLs of root number and TRL in tetraploid wheat [3]. A QTL for TRL and seminal root number was mapped to chromosome 7DS and found to be associated with GY [11,24,36]. In addition, studies of the relationship between the root traits and yield of indoor seedlings revealed that the seminal root number and TRL of wheat were positively correlated with GY [3,36] but negatively correlated or uncorrelated with thousand-kernel weight [25].…”

Section: Relationships Between Root Traits and Yieldmentioning

confidence: 99%

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WITHDRAWN: Genome-wide association study on root traits under different cultivation patterns in wheat

Chen

Yang

et al. 2020

Preprint

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Background Roots are critical for water and nutrient acquisition, environmental adaptation and yield formation. Results Here, 196 accessions from Yellow and Huai Winter Wheat Region (YHW) of China were collected for investigating the performance of six root traits under three cultivation patterns—Indoor Hydroponic Culture (IHC), Outdoor Hydroponic Culture (OHC) and Outdoor Pot Culture (OPC) at different growth stages—for three consecutive years. In the same growth period, OPC root traits always varied greatly, followed by OHC and IHC. The correlation coefficients between IHC and OPC at stooling stage (SS) were lower (0.016 ~ 0.278) than those between OHC and OPC (0.29 ~ 0.378). Root traits were negatively correlated grain yield (GY), the canonical correlation coefficient between root traits and yield was the highest (0.232) at SS. Genome-wide association study (GWAS) was furtherly conducted by a wheat 660K SNP array. It was revealed that 1105 SNP loci were significantly associated with root traits. A co-localized chromosomal segment regulating total root length (TRL) was detected on chromosome 4A, spanning from 737.85 to 742.00 Mb, under different cultivation patterns at stooling stage. Another co-localization region regulating total root area (TRA) was detected on chromosome 5A, an approximately 6.17 ~ 18.76 Mb region at SS, wintering stage (WT) and jointing stage (JS) under OPC. LD analysis and blast comparison revealed 27 and 31 genes related to root development were found from these two segments, respectively. Among them, TraesCS4A02G493900, TraesCS4A02G494200, TraesCS5A02G021700, TraesCS5A02G021800 and TraesCS5A02G011600 were predicted to be highly expressed in root. Conclusion This work could deepen our understanding of the molecular mechanisms of root development under different cultivation patterns in common wheat.

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Section: Relationships Between Root Traits and Yieldmentioning

confidence: 99%

“…2 software was used to analyze local LD decay and haplotype block structure. The identi cation of candidate genes for root system traits and the analysis of expression patterns were performed according to Zheng et al [36].…”

Section: Gwas and Prediction Of Candidate Genesmentioning

confidence: 99%

WITHDRAWN: Genome-wide association study on root traits under different cultivation patterns in wheat

Chen

Yang

et al. 2020

Preprint

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“…Efforts have been made to explore the determinants of root traits that contribute to increased yields in wheat. In addition to traditional labour-intensive and time-consuming methods for root trait analysis [9], arti cial medium systems, such as hydroponic culture, have been used in many studies and have revealed a series of quantitative trait loci (QTLs) that drive genetic variation in root traits [10][11][12][13][14][15][16]. However, the mechanisms through which these loci control root traits remain largely unclear due to the complexity of the wheat genome.…”

Section: Introductionmentioning

confidence: 99%

Transcriptomic Analysis Reveals the Contribution of QMrl-7B to Wheat Root Growth and Development

Zhang

et al. 2020

Preprint

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Backgound: Roots are the major organs for water and nutrient acquisition and substantially affect plant growth, development and reproduction. Improvements to root system architecture are highly important for increasing yield potential of bread wheat. QMrl-7B, a major stable quantitative trait locus (QTL) that controls maximum root length (MRL), strongly contributes to an improved root system in wheat. Results: To further analyse the biological functions of QMrl-7B in root development, two types of Triticum aestivum near isogenic lines (NILs), one with superior QMrl-7B alleles from cultivar Kenong 9204 (KN9204) and another with inferior QMrl-7B alleles from cultivar Jing 411 (J411), were subjected to transcriptomic analysis. Among all the mapped genes analysed, 4871 genes were identified as being differentially expressed between the pairwise NILs under different nitrogen (N) conditions, with 3543 genes expressed under normal-nitrogen (NN) condition and 2689 genes expressed under low-nitrogen (LN) condition. These genes encode proteins that include mainly NO3- transporters, phytohormone signalling components and transcription factors (TFs), indicating the presence of a complex regulatory network involved in root determination. In addition, among the 13524 LN-induced differentially expressed genes (DEGs) detected in this assay, 4308 were specifically expressed in the A-NIL which brings superior alleles, and 2463 were expressed specifically in the B-NIL which brings inferior alleles. These DEGs reflect different responses of the two types of NILs to varying N supplies, which likely involve LN-induced root growth. Conclusions: These results explain the better-developed root system and increased root vitality provided by the superior alleles of QMrl-7B and provide a deeper understanding of the genetic underpinnings of root traits, pointing to a valuable locus suitable for future breeding efforts for sustainable agriculture.

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“…The total length of root and seminal root number were positively correlated with the spike number per plant and grain number per spike (Man et al, 2015;Xie et al, 2017;Zheng et al, 2019). In dry years, the root traits are positively correlated with yield of wheat, whereas in other environments, the correlation is negative (Středa et al, 2012).…”

Section: Relationships Between Root and Yield Traitsmentioning

confidence: 97%

“…Haploview 4.2 software was used to analyze the local linkage disequilibrium (LD) and haploblock structure. Identification and expression pattern analyses of the candidate genes within the blocks were performed according to Zheng et al (2019).…”

Section: Gwas and Prediction Of Candidate Genesmentioning

confidence: 99%

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A novel QTL QTrl.saw-2D.2 associated with the total root length identified by linkage and association analyses in wheat (Triticum aestivum L.)

Cited by 36 publications

References 66 publications

WITHDRAWN: Genome-wide association study on root traits under different cultivation patterns in wheat

WITHDRAWN: Genome-wide association study on root traits under different cultivation patterns in wheat

Transcriptomic Analysis Reveals the Contribution of QMrl-7B to Wheat Root Growth and Development

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