Browsing by Author "Altaf, Muhammad Tanveer"

Now showing 1 - 3 of 3

Advancements in Qtl Mapping and Gwas Application in Plant Improvement
(Tubitak Scientific & Technological Research Council Turkey, 2024) Altaf, Muhammad Tanveer; Tatar, Muhammed; Ali, Amjad; Liaqat, Waqas; Mortazvi, Parnaz; Kayihan, Ceyhun; Baloch, Faheem Shehzad
In modern plant breeding, molecular markers have become indispensable tools, allowing the precise identification of genetic loci linked to key agronomic traits. These markers provide critical insight into the genetic architecture of crops, accelerating the selection of desirable traits for sustainable agriculture. This review focuses on the advancements in quantitative trait locus (QTL) mapping and genome-wide association studies (GWASs), highlighting their effective roles in identifying complex traits such as stress tolerance, yield, disease resistance, and nutrient efficiency. QTL mapping identifies the significant genetic regions linked to desired traits, while GWASs enhance precision using larger populations. The integration of high-throughput phenotyping has further improved the efficiency and accuracyof QTL research and GWASs, enabling precise trait analysis across diverse conditions. Additionally, next-generation sequencing, clustered regularly interspaced short palindromic repeats (CRISPR) technology, and transcriptomics have transformed these methods, offering profound insights into gene function and regulation. Single-cell RNA sequencing further enhances our understanding of plant responses at the cellular level, especially under environmental stress. Despite this progress, however, challenges persist in optimizing methods, refining training populations, and integrating these tools into breeding programs. Future studies must aim to enhance genetic prediction models, incorporate advanced molecular technologies, and refine functional markers to tackle the challenges of sustainable agriculture.
Assessment of Genetic Diversity Among 131 Safflower (Carthamus Tinctorius L.) Accessions Using Peroxidase Gene Polymorphism (Pogp) Markers
(Springer, 2022) Yildiz, Mehtap; Altaf, Muhammad Tanveer; Baloch, Faheem Shehzad; Kocak, Metin; Sadik, Gokhan; Kuzgun, Cansu; Tuncturk, Murat
Background Safflower (Carthamus tinctorius L.) is an old oilseed crop with a 1.4 GB genome size and its flowers are used for food coloring, dyes and pharmaceutical industries. It was domesticated from its putative wild ancestor Carthamus palestinus about forty-five hundred years ago in the fertile crescent region.The current study was aimed to determine the genetic diversity, population structure and to check the applicability of iPBS-retrotransposons markers. Methods and results Eleven POGP primers yielded 70 bands of which 61 were highly polymorphic with 87.14% polymorphism. A great level of genetic variation was examined with higher values of overall gene diversity (0.27), genetic distance (0.53), number of effective alleles (1.46), Shannon's information index (0.41) and polymorphism information contents (0.71). Analysis of molecular variance revealed high genetic variation with 79% within the population. The STRUCTURE, PCoA and Neighbor-joining analysis separated the safflower germplasm into 2 major populations and 1 un-classified population. The accessions which were from Asian countries i.e., China, Afghanistan, Turkey, Iran and Pakistan were genetically similar and clustered together in both populations A and B. The maximum genetic distance was measured 0.88 between Pakistan 26 x Pakistan 24. Conclusion Findings of this research such as maximum diversity indices, higher PIC values showed the effectiveness and utility of POGP markers for the evaluation of genetic relationships among safflower accessions. The results of this study also showed that POGP markers are less effective compared to ISSRs, iPBS-retrotransposons and DArTSeq markers. AMOVA showed high genetic variation (79%) within a population and maximum genetic distance was found between the accessions Pakistan 26- Pakistan 24 and may be suggested as candidate parents for future breeding activities of safflower. The accessions from the fertile crescent region were clustered together and proved the origin of safflower domestication. This study highlights genetic variation among safflower germplasm and could be helpfull for parental selection and planning for future breeding programs.
Identification of Genetic Basis Associated With Agronomic Traits in a Global Safflower Panel Using Genome-Wide Association Study
(Tubitak Scientific & Technological Research Council Turkey, 2021) Ali, Fawad; Nadeem, Muhammad Azhar; Habyarimana, Ephrem; Altaf, Muhammad Tanveer; Barut, Muzaffer; Kurt, Cemal; Baloch, Faheem Shehzad
Safflower is an underutilized and minor oilseed crop that received less attention from the scientific community compared to other oilseed crops like soybean and sunflower. Exploring the genetic basis associated with agronomic traits is crucial for marker-assisted breeding of safflower. A genome-wide association study was conducted using a total of 12,232 DArTseq markers to identify the marker-trait association for important agronomic traits in an international safflower panel derived from 26 different geographical countries of the world. Statistically significant genotypic effects (p < 0.05) were observed across mean data of both locations (Pakistan and Turkey). Moderate to high heritability estimates were observed for the studied traits. Studied material showed higher performance for all traits except seeds per capitulum in Pakistan compared to Turkey. Phenotypic diversity for important agronomic traits, such as plant height (60.08 to 121.48 cm), capitula per plant (8.7 to 80.4), seeds per capitulum (15 to 42.05), and seed yield per plant (4.85 to 51.02 g), was illustrated. Seed yield per plant showed a highly significant and positive correlation with capitula per plant (0.4985***). Constellation plot analysis resulted in four groups, i.e. A, B, C, and D. Genotyping by sequencing resulted in 12,232 DArTseq markers being used for the investigation of marker-trait association through mixed linear model (Q + K) approach. DArT-38077549 showed significant association with capitula per plant, while two markers (DArT-22763576, DArT-22763253) were associated with plant height. A total of two markers (DArT-38079422, DArT-100043360) were associated with seeds per capitulum. A total of five DArTseq markers showed significant association with seed yield per plant and maximum variation was resulted by DArT-100004992. The results of this study provide a new insight to understand the genetic basis associated with agronomic traits in safflower. We envisage that significant markers identified through this investigation may be applicable in future safflower marker-assisted breeding programs.