Advancements in QTL Mapping and GWAS Application in Plant Improvement

Authors

MUHAMMAD TANVEER ALTAFFollow
MUHAMMED TATARFollow
AMJAD ALIFollow
WAQAS LIAQATFollow
PARNAZ MORTAZVIFollow
CEYHUN KAYIHANFollow
FATİH ÖLMEZFollow
MUHAMMAD AZHAR NADEEMFollow
JAZIB JAVEDFollow
JIN-YING GOUFollow
MENG-LU WANGFollow
UMMAD UD DIN UMARFollow
HAYRİYE YILDIZ DAŞGANFollow
CEMAL KURTFollow
MEHTAP YILDIZFollow
SHEIKH MANSOORFollow
ABDELFATTAH A. DABABATFollow
NAFIZ ÇELİKTAŞFollow
FAHEEM SHEHZAD BALOCHFollow

Author ORCID Identifier

MUHAMMAD TANVEER ALTAF: 0000-0003-2373-857X

MUHAMMED TATAR: 0000-0002-8312-8434

AMJAD ALI: 0000-0003-0816-1872

WAQAS LIAQAT: 0000-0001-6719-2340

PARNAZ MORTAZVI: 0009-0008-2155-2492

CEYHUN KAYIHAN: 0000-0003-1684-4147

FATİH ÖLMEZ: 0000-0001-7016-2708

MUHAMMAD AZHAR NADEEM: 0000-0002-0637-9619

JIN-YING GOU: 0000-0002-7540-0354

MENG-LU WANG: 0000-0001-7509-8952

UMMADUMMAD UD DIN UMAR: 0000-0002-2582-9603

HAYRİYE DAŞGAN: 0000-0002-0403-1627

CEMAL KURT: 0000-0002-5030-4411

MEHTAP YILDIZ: 0000-0001-6534-5286

SHEIKH MANSOOR: 0000-0003-1902-4611

ABDELFATTAH A. DABABAT: 0000-0002-3172-0452

NAFIZ ÇELİKTAŞ: 0000-0002-0467-1034

FAHEEM SHEHZAD BALOCH: 0000-0002-7470-0080

DOI

10.55730/1300-008X.2824

Abstract

Molecular markers play a crucial role in modern plant breeding by enabling the precise identification of genetic loci associated with important agronomic traits. This article focuses on the advancements in Quantitative Trait Locus (QTL) mapping and Genome-Wide Association Studies (GWAS), which are pivotal in identifying and dissecting complex traits such as stress tolerance, yield improvement, and nutrient efficiency. Through QTL mapping, significant genetic regions linked to desired traits are identified, while GWAS leverages larger populations for higher resolution in genetic association studies. The integration of next-generation sequencing, CRISPR, and transcriptomics technologies has revolutionized the precision and efficiency of these methods, offering deeper insights into gene function and regulation. Single-cell RNA sequencing further enhances our understanding of plant responses at the cellular level, particularly under environmental stressors. Despite the progress, challenges remain in optimizing methodologies, refining training populations, and ensuring the application of these tools in breeding programs. Future directions will focus on improving genetic prediction models, incorporating advanced molecular technologies, and refining functional marker development to address the challenges of sustainable agriculture.

Keywords

genome-wide association studies, genomic selection, Molecular markers, next-generation sequencing, plant breeding, QTL mapping

First Page

376

Last Page

426

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

ALTAF, MUHAMMAD TANVEER; TATAR, MUHAMMED; ALI, AMJAD; LIAQAT, WAQAS; MORTAZVI, PARNAZ; KAYIHAN, CEYHUN; ÖLMEZ, FATİH; NADEEM, MUHAMMAD AZHAR; JAVED, JAZIB; GOU, JIN-YING; WANG, MENG-LU; UMAR, UMMAD UD DIN; DAŞGAN, HAYRİYE YILDIZ; KURT, CEMAL; YILDIZ, MEHTAP; MANSOOR, SHEIKH; DABABAT, ABDELFATTAH A.; ÇELİKTAŞ, NAFIZ; and BALOCH, FAHEEM SHEHZAD (2024) "Advancements in QTL Mapping and GWAS Application in Plant Improvement," Turkish Journal of Botany: Vol. 48: No. 7, Article 3. https://doi.org/10.55730/1300-008X.2824
Available at: https://journals.tubitak.gov.tr/botany/vol48/iss7/3