Identification and mapping of QTL associated with some traits related for drought tolerance in wheat using SSR markers

Khaled, Khaled A. M.; Habiba, Rehab; Bashasha, Jamila; El-Aziz, Mohammed H. Abd

doi:10.1186/s43088-022-00212-4

Cited by 10 publications

(10 citation statements)

References 42 publications

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“…These QTLs were present on chromosomes 3A, 3B, and 6B. The QTLs for PH were also reported on chromosomes 3A ( Lopes et al, 2012 ; Khaled et al, 2022 ), 3B ( Khaled et al, 2022 ), and 6B ( Lopes et al, 2012 ; Devate et al, 2022 ; Khaled et al, 2022 ) in similar previous works. Among the eight QTLs mapped for NDVI, the major and stable QTL QNDVI.iari-5B.2 with 12.33% PVE could be potential targets for further breeding efforts.…”

Section: Discussionsupporting

confidence: 86%

“…The genetic linkage map spanned a length of 6,769.45 cM with the marker density ranging from 2.28 cM/marker in 1A to 14.21 cM/marker in 5D, with an average marker density of 5.52 cM/marker ( Puttamadanayaka et al, 2020 ; Khaled et al, 2022 ; Manjunath et al, 2023 ). The variation in marker density across chromosomes reflects differences in recombination rates and genetic distances between the markers ( Zhang et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

“…While advancements in wheat research have predominantly focused on identifying QTLs under individual stresses such as high temperature or drought, the co-occurrence of these stresses in natural conditions has been relatively overlooked. Consequently, limited investigations have been conducted to identify and validate QTLs governing component traits of yield under combined heat and drought stress conditions ( Tahmasebi et al, 2016 ; Schmidt et al, 2020 ; Khaled et al, 2022 ). In the current study, we aim to identify and validate QTLs governing component traits of yield under heat and combined stress in wheat.…”

Section: Introductionmentioning

confidence: 99%

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QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat

Manjunath,

Krishna,

Devate

et al. 2024

Front. Genet.

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Drought and heat frequently co-occur during crop growth leading to devastating yield loss. The knowledge of the genetic loci governing component traits of yield under combined drought and heat stress is essential for enhancing the climate resilience. The present study employed a mapping population of 180 recombinant inbred lines (RILs) derived from a cross between GW322 and KAUZ to identify quantitative trait loci (QTLs) governing the component traits of yield under heat and combined stress conditions. Phenotypic evaluation was conducted across two consecutive crop seasons (2021–2022 and 2022–2023) under late sown irrigation (LSIR) and late sown restricted irrigation (LSRI) conditions at the Indian Council of Agricultural Research Institute–Indian Agricultural Research Institute (ICAR-IARI), New Delhi. Various physiological and agronomic traits of importance were measured. Genotyping was carried out with 35K SNP Axiom breeder’s genotyping array. The linkage map spanned a length of 6769.45 cM, ranging from 2.28 cM/marker in 1A to 14.21 cM/marker in 5D. A total of 35 QTLs were identified across 14 chromosomes with 6B containing the highest (seven) number of QTLs. Out of 35 QTLs, 16 were major QTLs explaining the phenotypic variance greater than 10%. The study identified eight stable QTLs along with two hotspots on chromosomes 6B and 5B. Five QTLs associated with traits thousand-grain weight (TGW), normalized difference vegetation index (NDVI), and plant height (PH) were successfully validated. Candidate genes encoding antioxidant enzymes, transcription factors, and growth-related proteins were identified in the QTL regions. In silico expression analysis highlighted higher expression of transcripts TraesCS2D02G021000.1, TraesCS2D02G031000, TraesCS6A02G247900, and TraesCS6B02G421700 under stress conditions. These findings contribute to a deeper understanding of the genetic architecture underlying combined heat and drought tolerance in wheat, providing valuable insights for wheat improvement strategies under changing climatic conditions.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat

Manjunath,

Krishna,

Devate

et al. 2024

Front. Genet.

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“…RAPD, inter simple sequence repeat (ISSR), and amplified fragment length polymorphisms (AFLP) were widely used for these purposes (Zein et al, 2012;Khaled et al, 2015;Azzam and Khalifa, 2016;Abdalla et al, 2018;Khaled et al, 2018;Azzam et al, 2019a,b;Hamada et al, 2019). Ribosomal DNA (rDNA) was also used for genotype identification as Ismael et al (2018) (Al-Taweel et al, 2019;Abou-Sreea et al, 2021;Azzam et al, 2022;Khaled et al, 2022a), and simple sequence repeats (SSRs), which were also used in quantitative trait loci (QTLs) mapping (Azzam et al, 2022;Khaled et al, 2022b).…”

Section: Introductionmentioning

confidence: 99%

In Silico and Genetic Analysis Related to Tillering Ability in Maize

KHALED¹,

HABIBA²,

BASHASHA³

et al. 2023

SABRAOJBG

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Maize developed from its ancestor, teosinte, about 10,000 years ago. The evolution has gone from teosinte with multiple tillers to single-tiller maize plants. An investigation took place to identify and sequence genes related to tillering ability in maize and perform In silico analysis. Mating proceeded by manual pollination between the commercial hybrid SC2031 of maize (Zea mays L.) and the teosinte genotype Domiata (Durra rayyana). The parents, F1 hybrids, and their F2 progenies gained evaluation for tillering ability. The SC2031 (low or no-tillers) exhibited fragments ranging from 75 to 420 bp. The fragment observed with 262 bp size was in the F1 and nine out of 10 low-tillering F2 progenies. The Domiata parent, a high-tillering variety, exhibited three fragments ranging from 82 to 534 bp. The fragment with 445 in size occurred in nine out of 10 high-tillering F2 progenies. The fragment of 262 bp, which may be responsible for the low tillering ability, and the fragment of 445 bp, for the high tillering ability, were eluted from the gel, sequenced, and submitted to GenBank. The predicted protein, T1-L, of the DNA sequence from the low-tillering parent has a molecular weight of 6.69 kD and pI of 6.53, belonging to the GRAS family, which plays an important role as transcriptional factors required for the adequate pattern of radial rooting and shooting. The predicted protein, T1-H, of the DNA sequence from the high-tillering parent has a molecular weight of 14.08 kD, and pI of 7.97, belonging to the TEOSINTE BRANCHED 1, CYCLOIDEA, PCF1 (TCP) family that plays an essential role as transcriptional factors required for apical dominance.

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“…Molecular markers are used to identify genotypes and determine gene expression of targeted genes related to abiotic stress (Khaled et al, 2015). Markers, such as, amplified fragment length (AFLP), simple sequence repeats (SSR), and start codon targeted marker (SCoT), are used to identify the gene expression and QTLs in plants (Khaled et al, 2018;AL-Taweel et al, 2019;Salah et al, 2021;and Khaled et al, 2022). A cDNA SCoT (cDNA starts codon-targeted) molecular technique has been proposed to be an appropriate and powerful tool for identifying gene expression variations, stress tolerance, and genetic stability in plants (Al-Taweel et al, 2019;Abou-Sreea et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Gamma-Rays and Microwave Irradiation Influence on Guar (Cyamopsis Tetragonoloba): I - Markers Assisted Selection for Responding to Mutagenic Agents

KHALED¹,

SULTAN²,

AZZAM³

2022

SABRAOJBG

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The recent investigation was carried out to determine the effect of different gamma-ray doses and 900 W (2450 MHz) microwave radiation with various exposure times, separately or in combinations, on the yield, yield components, and chemical properties of guar (Cyamopsis tetragonoloba), as well as, to detect variation induction. The cDNA-SCoT technique was used to obtain molecular markers related to some traits. SSR technique was used to sequence the target fragment related to plant height. Gamma-ray doses of 150 and 250 Gy alone, and in combination with 900 W microwaves irradiation applied with different duration or time span (1, 2, 3, and 4 min) influenced the plant height significantly, as well as, number of tillers plant-1 and fresh and dry forage yield, and fresh and dry leaf stem-1 ratio. In the second sample, seed yield at harvest time, e.g., pods plant-1, weight of pods plant-1, whole plant dry weight, number of seeds pod-1, length of pod, 100-seed weight, and seeds yield were affected by irradiation with different and varied responses. In the M1 generation, the 18 SCoT primers produced 327 bands ranging between 151–2895 bp in size, out of which 282 were polymorphic (86.24%). In the M2, the 18 SCoT primers produced 328 bands ranging between 212–2661 bp in size, out of which 299 were polymorphic (91.16%). The M1 and M2 generations exhibited 89 positive and 39 negative bands, which could be used as marker assisted-selection in response to treated guar plants with different gamma ray doses, separately or in combinations with microwave treatments.

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Identification and mapping of QTL associated with some traits related for drought tolerance in wheat using SSR markers

Cited by 10 publications

References 42 publications

QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat

QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat

In Silico and Genetic Analysis Related to Tillering Ability in Maize

Gamma-Rays and Microwave Irradiation Influence on Guar (Cyamopsis Tetragonoloba): I - Markers Assisted Selection for Responding to Mutagenic Agents

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