Loci Controlling Adaptation to Heat Stress Occurring at the Reproductive Stage in Durum Wheat

Hassouni, Khaoula El; Belkadi, Bouchra; Filali-Maltouf, Abdelkarim; Tidiane-Sall, Amadou; Al‐Abdallat, Ayed; Nachit, M. M.; Bassi, Filippo M.

doi:10.3390/agronomy9080414

Cited by 39 publications

(52 citation statements)

References 77 publications

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“…A total of 10 sub-populations were identified based on genetic diversity, as explained by Kabbaj et al [57] and Sall et al [59]. As described in an earlier publication [4,60], 7652 high-fidelity polymorphic single nucleotide polymorphism (SNPs) were obtained, showing less than 1% missing data, a minor allele frequency (MAF) higher than 5%, and a heterozygosity less than 5%. The sequences of these markers were aligned with a cutoff of 98% identity to the durum wheat reference genome [53] (available at: http://www.interomics.eu/durum-wheat-genome) to reveal their physical position.…”

Section: Genotypingmentioning

confidence: 99%

“…In durum wheat, the heading and flowering times are critical stages in crop development as they play an important role in adaptation, yield potential, and grain quality [2]. In addition, climatic stress during anthesis negatively affects pollen fertility [3,4]. Therefore, plant breeders need effective tools to predict flowering time in order to identify promising genotypes adapted to different environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

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Genomic Regions Associated with the Control of Flowering Time in Durum Wheat

Gupta

Kabbaj²,

Hassouni³

et al. 2020

Plants

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Flowering time is a critical stage for crop development as it regulates the ability of plants to adapt to an environment. To understand the genetic control of flowering time, a genome-wide association study (GWAS) was conducted to identify the genomic regions associated with the control of this trait in durum wheat (Triticum durum Desf.). A total of 96 landraces and 288 modern lines were evaluated for days to heading, growing degree days, and accumulated day length at flowering across 13 environments spread across Morocco, Lebanon, Mauritania, and Senegal. These environments were grouped into four pheno-environments based on temperature, day length, and other climatic variables. Genotyping with a 35K Axiom array generated 7652 polymorphic single nucleotide polymorphisms (SNPs) in addition to 3 KASP markers associated with known flowering genes. In total, 32 significant QTLs were identified in both landraces and modern lines. Some QTLs had a strong association with already known regulatory photoperiod genes, Ppd-A and Ppd-B, and vernalization genes Vrn-A1 and VrnA7. However, these loci explained only 5% to 20% of variance for days to heading. Seven QTLs overlapped between the two germplasm groups in which Q.ICD.Eps-03 and Q.ICD.Vrn-15 consistently affected flowering time in all the pheno-environments, while Q.ICD.Eps-09 and Q.ICD.Ppd-10 were significant only in two pheno-environments and the combined analysis across all environments. These results help clarify the genetic mechanism controlling flowering time in durum wheat and show some clear distinctions to what is known for common wheat (Triticum aestivum L.).

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Section: Genotypingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genomic Regions Associated with the Control of Flowering Time in Durum Wheat

Gupta

Kabbaj²,

Hassouni³

et al. 2020

Plants

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“…Grain yield measured in occurrence of heat at the time of flowering is deemed the best measure to asses a plant capacity to adapt to the stress (Kamrani, Hoseini, & Ebadollahi, 2018), while the GNspk has been identified as one of the main traits for tolerance (El Hassouni et al, 2019;Sall et al, 2018a,b). The whole panel was evaluated over two seasons at two heat-prone field stations in Kaedi, Mauritania and Fanaye, Senegal with maximum daily temperatures exceeding 34 • C throughout the two seasons for a total of four environments (2 seasons × 2 sites).…”

Section: Heat Stress Screeningmentioning

confidence: 99%

Crop wild relatives in durum wheat breeding: Drift or thrift?

Haddad¹,

Kabbaj

Zaim

et al. 2020

Crop Science

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Crop wild relatives (CWRs) are an important source of genetic diversity for crop improvement. The aim of this study was to assess the usefulness of deploying CWRs in durum wheat [Triticum turgidum L. subsp. durum (Desf.) van Slageren] breeding. A set of 60 accessions was selected to include cultivars from nine countries, top lines obtained via elite-by-elite crossing, and CWR-derived lines. These accessions were screened for resistance against four major fungal diseases to reveal that CWR-derived lines are a good source of resistance against Septoria leaf blotch (Zymoseptoria tritici), while they were highly susceptible to tan spot (Pyrenophora tritici-repentis). Drought tolerance was assessed at eight environments with contrasting nitrogen levels and tillage practices to reveal a clear superiority of CWR-derived lines for grain size as well as higher grain yield (GY) under low nitrogen and normal tillage (NT). Temperature-stress tolerance was assessed at four heat-stressed environments along the Senegal River to confirm CWR-derived had up to 42% yield advantage and a higher grain number per spike (GNspk). Combined testing under plastic heat tunnels imposed at the time of flowering also revealed good performance of CWR-derived lines. However, the CWR-derived lines had low gluten sedimentation index and poor yellow color compared with cultivars and elite germplasm. High genetic diversity was found in CWR-derived lines with 75% of individuals having minor allele frequency (MAF) of 40-44% for frequent alleles but low genetic diversity for alleles with low frequency. In addition, 8-13% of the CWR parent genome

show abstract

“…A total of 10 sub-populations were identified based on genetic diversity as explained by Kabbaj et al [57] and Sall et al [59]. As described in earlier publication [3,60], 7,652 highfidelity polymorphic single nucleotide polymorphism (SNPs) were obtained, showing less than 1% missing data, minor allele frequency (MAF) higher than 5%, and heterozygosity less than 5%. The sequences of these markers were aligned with a cutoff of 98% identity to the durum wheat reference genome [52] (available at: http://www.interomics.eu/durum-wheat-genome), to reveal their physical position.…”

Section: Genotypingmentioning

confidence: 99%

“…In durum wheat, heading and flowering times are critical stages in crop development as they play an important role in adaptation, yield potential and grain quality [1]. In addition, climatic stress during anthesis negatively affects pollen fertility [2,3]. Therefore, plant breeders need effective tools to predict flowering time in order to identify promising genotypes adapted to different environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Genomic Regions Associated with the Control of Flowering Time in Durum Wheat

Gupta¹,

Kabbaj²,

Hassouni³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Flowering time is a critical stage for crop development as it regulates the ability of plants to adapt to an environment. To understand the genetic control of flowering time, a genome wide association study (GWAS) was conducted to identify the genomic regions associated with the control of this trait in durum wheat (Triticum durum Desf.). A total of 96 landraces and 288 modern lines were evaluated for days to heading, growing degree days, and accumulated day length at flowering across 13 environments spread across Morocco, Lebanon, Mauritania, and Senegal. These environments were grouped into four pheno-environments based on temperatures, day length and other climatic variables. Genotyping with 35K Axiom array generated 7,652 polymorphic SNPs in addition to 3 KASP markers associated to known flowering genes. In total, 34 significant QTLs were identified in both landraces and modern lines. Some QTLs had strong association with already known regulatory photoperiod genes, Ppd-A and Ppd-B and vernalization genes Vrn-A1, and Vrn3. However, these loci explained only 5 to 20% of variance for days to heading. Seven QTLs overlapped between the two germplasm groups in which Q.ICD.Eps-03 and Q.ICD.Vrn-17 consistently affected flowering time in all the pheno-environments, while Q.ICD.Eps-11 and Q.ICD.Ppd-12 were significant only in two pheno-environments and the combined analysis across all environments. These results help clarify the genetic mechanism controlling flowering time in durum wheat and show some clear distinctions to what is known for common wheat (Triticum aestivum L.)

show abstract

Loci Controlling Adaptation to Heat Stress Occurring at the Reproductive Stage in Durum Wheat

Cited by 39 publications

References 77 publications

Genomic Regions Associated with the Control of Flowering Time in Durum Wheat

Genomic Regions Associated with the Control of Flowering Time in Durum Wheat

Crop wild relatives in durum wheat breeding: Drift or thrift?

Genomic Regions Associated with the Control of Flowering Time in Durum Wheat

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