Identification of new SSR markers linked to leaf chlorophyll content, flag leaf senescence and cell membrane stability traits in wheat under water stressed condition

Barakat, M. N.; Saleh, Mustafa; Al‐Doss, Abdullah A.; Moustafa, Khaled A.; El-Shafei, A.; Al-Qurainy, Fahed Hamed

doi:10.1556/abiol.66.2015.1.8

Cited by 12 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In wheat, QTLs controlling flag leaf-related traits have been identified on almost all 21 chromosomes [16,[29][30][31]. For example, using recombinant inbred line (RIL) population, 12 QTLs for chlorophyll content-related traits were mapped on chromosomes 1A, 3A, 3B, 3D, 4A, 5A, 6A, 6D, 7A and 7D [32]. Using different RIL populations, Yang et al [33] reported five additive QTLs for CC, among them, QChl-5A.1 was detected in multiple stages.…”

mentioning

confidence: 99%

QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

et al. 2020

View full text Add to dashboard Cite

The flag leaf is the main organ of photosynthesis during grain-filling period of wheat, and flag leaf-related traits affect plant morphology and yield potential. In this study, two BC 3 F 6 introgression line (IL) populations derived from the common recipient parent Lumai 14 with Jing 411 and Shaanhan 8675, respectively, were used to map quantitative trait loci (QTL) for flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA) and chlorophyll content (CC) at flowering stage and 15 and 20 days after anthesis (DAA) in 2016-2017 (E1) and 2017-2018 (E2) two environments. A total of 14 and 15 QTLs for flag leaf-related traits were detected in Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 populations, respectively. Among them, Both QFLW-6A and QFLA-6A were detected in Lumai 14 / Jing 411 population under E2 and in Lumai 14 / Shaanhan 8675 population under E1 and E2 environments, respectively. QCC S2 -3A from Lumai 14 / Jing 411 population and QCC S3 -1A, QFLL-4A and QFLL-6A from Lumai 14 / Shaanhan 8675 population were repeatedly identified under two tested environments. Moreover, eight QTL clusters controlling flag leaf-related traits were identified, which provided a genetic basis for significant correlations in phenotype among these traits. On the other hand, positive alleles of QFLW-6A for FLW detected in two populations were derived from their donors. Eighteen lines and 44 lines carried this QTL were found in Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 populations, respectively. The means of FLW in these lines were wider than that of the recipient parent, Lumai 14, in two environments, suggesting that QFLW-6A played an important role for increasing FLW. The IL 124 in Lumai 14 / Jing 411 population and the IL 59 and IL 127 in Lumai 14 / Shaanhan 8675 population had five, five and four donor chromosomal segments which carried no other QTL controlling FLW than QFLW-6A, respectively. And the FLWs of these lines were significantly greater than that of Lumai 14 under two environments. So these lines and their donor parent can be regarded as potential near-isogenic lines. Further, a synteny analysis found QFLW-6A was near the 574,283,851-574,283,613 bp fragment on chromosome 6A and 10 genes were in the range of 500 kb upstream and downstream of the fragment. , et al. (2020) QTL mapping for flag leafrelated traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat. PLoS ONE 15(3): e0229912.These results provide the basis for identification of candidate gene and map-based cloning and functional verification of the QTL. PLOS ONEQTL mapping for flag leaf-related traits PLOS ONE | https://doi.org/10.The linkage maps of Lumai 14 / Jing 411 and Lumai 14 / Shaanhan 8675 BC 3 F 6 populations were constructed, based on 156 and 185 polymorphic simple sequence repeat (SSR) markers, respectively [36,41]. QTL analysis for flag leaf-related traits was performed by IciMapping 4.0 PLOS ONEQTL mapping for flag leaf-related traits PLOS ONE | https://doi.org/10.

show abstract

mentioning

confidence: 99%

QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

et al. 2020

View full text Add to dashboard Cite

show abstract

“…This leads to accelerated degradation of chlorophyll in photosynthetic organs such as leaves, reduced photosynthetic rate, and decreased photosynthetic efficiency ( Yang B. et al, 2016 ), hence lower fixation and assimilation of CO 2 ( Yang D. et al, 2016 ) leading to restricted dry matter accumulation and grain development ( Farooq et al, 2014 ). Therefore, the chlorophyll content in flag leaves is regarded as an indicator of drought resistance in wheat under drought stress ( Farooq et al, 2014 ; Barakat et al, 2015 ). Molecular studies on the genetic regulation of flag leaf chlorophyll content are therefore of considerable significance for maintaining and improving yield potential under drought stress conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the studies that have been reported involved different wheat populations and growth stages ( Zhang et al, 2009a ; Ilyas et al, 2014 ; Yu et al, 2014 ; Yang B. et al, 2016 ). The 82 reported QTLs controlling chlorophyll content were distributed across all 21 chromosomes ( Quarrie et al, 2006 ; Zhang et al, 2009a ; Zhang et al, 2009b ; Kumar et al, 2010 ; Vijayalakshmi et al, 2010 ; Ilyas et al, 2014 ; Saleh et al, 2014 ; Barakat et al, 2015 ; Li et al, 2015 ; Yang D. et al, 2016 ; Gupta et al, 2017 ; Shi et al, 2017 ; Yan et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of Genetic Loci Affecting Flag Leaf Chlorophyll in Wheat Grown under Different Water Regimes

et al. 2022

View full text Add to dashboard Cite

Chlorophyll content of the flag leaf is an important trait for drought resistance in wheat under drought stress. Understanding the regulatory mechanism of flag leaf chlorophyll content could accelerate breeding for drought resistance. In this study, we constructed a recombinant inbred line (RIL) population from a cross of drought-sensitive variety DH118 and drought-resistant variety Jinmai 919, and analyzed the chlorophyll contents of flag leaves in six experimental locations/years using the Wheat90K single-nucleotide polymorphism array. A total of 29 quantitative trait loci (QTLs) controlling flag leaf chlorophyll were detected with contributions to phenotypic variation ranging from 4.67 to 23.25%. Twelve QTLs were detected under irrigated conditions and 18 were detected under dryland (drought) conditions. Most of the QTLs detected under the different water regimes were different. Four major QTLs (Qchl.saw-3B.2, Qchl.saw-5A.2, Qchl.saw-5A.3, and Qchl.saw-5B.2) were detected in the RIL population. Qchl.saw-3B.2, possibly more suitable for marker-assisted selection of genotypes adapted to irrigated conditions, was validated by a tightly linked kompetitive allele specific PCR (KASP) marker in a doubled haploid population derived from a different cross. Qchl.saw-5A.3, a novel stably expressed QTL, was detected in the dryland environments and explained up to 23.25% of the phenotypic variation, and has potential for marker-assisted breeding of genotypes adapted to dryland conditions. The stable and major QTLs identified here add valuable information for understanding the genetic mechanism underlying chlorophyll content and provide a basis for molecular marker–assisted breeding.

show abstract

“…Research on the genetic mechanism that regulates chlorophyll in wheat lags behind model crops such as rice ( Gupta et al., 2020 ). Under drought, high temperature, light intensity, and nutrient stress, QTL analysis of chlorophyll content has been performed ( Fang et al., 2004 ; Li et al., 2010 ; Vijayalakshmi et al., 2010 ; Christopher et al., 2018 ; Maulana et al., 2018 ; Kamal et al., 2019 ), and hundreds of QTLs were identified on 21 chromosomes of wheat ( Kumar et al., 2010 ; Li et al., 2010 ; Vijayalakshmi et al., 2010 ; Zhang et al., 2010 ; Kumar et al., 2012 ; Ilyas et al., 2014 ; Saleh et al., 2014 ; Barakat et al., 2015 ; Yang et al., 2016a ; Yang et al., 2016b ; Shi et al., 2017 ; Christopher et al., 2018 ; Puttamadanayaka et al., 2020 ; Yan et al., 2020 ; Yang et al., 2022 ). However, most studies used low-density SSR markers and were only identified in a few years/environments.…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of quantitative trait loci for chlorophyll content of flag leaf in wheat under different phosphorus treatments

Yang

Chen²,

Dang³

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

In wheat, the leaf chlorophyll content in flag leaves is closely related to the degree of phosphorus stress. Identifying major genes/loci associated with chlorophyll content in flag leaves under different phosphorus conditions is critical for breeding wheat varieties resistant to low phosphorus (P). Under normal, medium, and low phosphorus conditions, the chlorophyll content of flag leaves was investigated by a double haploid (DH) population derived from a cross between two popular wheat varieties Jinmai 47 and Jinmai 84, at different grain filling stages. Chlorophyll content of the DH population and parents decreased gradually during the S1 to the S3 stages and rapidly at the S4 stage. At the S4 stage, the chlorophyll content of the DH population under low phosphorus conditions was significantly lower than under normal phosphate conditions. Using a wheat 15K single-nucleotide polymorphism (SNP) panel, a total of 157 QTLs were found to be associated with chlorophyll content in flag leaf and were identified under three phosphorus conditions. The phenotypic variation explained (PVE) ranged from 3.07 to 31.66%. Under three different phosphorus conditions, 36, 30, and 48 QTLs for chlorophyll content were identified, respectively. Six major QTLs Qchl.saw-2B.1, Qchl.saw-3B.1, Qchl.saw-4D.1, Qchl.saw-4D.2, Qchl.saw-5A.9 and Qchl.saw-6A.4 could be detected under multiple phosphorus conditions in which Qchl.saw-4D.1, Qchl.saw-4D.2, and Qchl.saw-6A.4 were revealed to be novel major QTLs. Moreover, the closely linked SNP markers of Qchl.saw-4D.1 and Qchl.saw-4D.2 were validated as KASP markers in a DH population sharing the common parent Jinmai 84, showed extreme significance (P <0.01) in more than three environments under different phosphorus conditions, which has the potential to be utilized in molecular marker-assisted breeding for low phosphorus tolerance in wheat.

show abstract

Identification of new SSR markers linked to leaf chlorophyll content, flag leaf senescence and cell membrane stability traits in wheat under water stressed condition

Cited by 12 publications

References 25 publications

QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

QTL mapping for flag leaf-related traits and genetic effect of QFLW-6A on flag leaf width using two related introgression line populations in wheat

Identification of Genetic Loci Affecting Flag Leaf Chlorophyll in Wheat Grown under Different Water Regimes

Identification and validation of quantitative trait loci for chlorophyll content of flag leaf in wheat under different phosphorus treatments

Contact Info

Product

Resources

About