» Articles » PMID: 32377049

Genome-wide Association Study Identifies Various Loci Underlying Agronomic and Morphological Traits in Diversified Potato Panel

Overview
Specialty Biology
Date 2020 May 8
PMID 32377049
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Potato is one of the most important food crops all over the world. Breeding activities for this crop are mainly aimed to improve the quality and yield of tuber. However, genetic architecture of various traits contributing to the quality and yield of potato are not yet completely understood. Genome wide association studies provides a broader way to identify the genomic regions associated with various traits. Panels of 237 tetraploid potato genotypes from different countries were grown for two consecutive years 2016 and 2017 at experimental research area of Potato research center Niğde, Turkey. A genome wide association study using SolCAP 12K array was performed for various morpho-agronomic traits. Structure algorithm and neighborhood joining analysis clearly divided all genotypes into 4 clusters on the basis of their origin. For the marker trait association, Mixed Linear Model in TASSEL was performed and 36 genomic regions were found for the traits under study. The mean r value was found to be 0.92 and mean significant LD was 47.5% in the populations. LD patterns reflected the breeding history of potato. The findings of present study provide a framework which could be useful for future potato breeding programs to enhance the production and to reduce the challenges in the coming years to feed world's population.

Citing Articles

Historical data provide new insights into inheritance of traits important for diploid potato breeding.

Sliwka J, Wasilewicz-Flis I, Jakuczun H, Janiszewska M, Smyda-Dajmund P, McLean K Planta. 2025; 261(4):69.

PMID: 40014142 PMC: 11868143. DOI: 10.1007/s00425-025-04618-z.


Improving genomic prediction of vitamin C content in spinach using GWAS-derived markers.

Rameneni J, Islam A, Avila C, Shi A BMC Genomics. 2025; 26(1):171.

PMID: 39984864 PMC: 11844115. DOI: 10.1186/s12864-025-11343-0.


Genetic Diversity and Genome-Wide Association Study of Total Phenolics, Flavonoids, and Antioxidant Properties in Potatoes ( L.).

Rasheed H, Deng B, Ahmad D, Bao J Int J Mol Sci. 2024; 25(23).

PMID: 39684503 PMC: 11640895. DOI: 10.3390/ijms252312795.


Leaf Membrane Stability under High Temperatures as an Indicator of Heat Tolerance in Potatoes and Genome-Wide Association Studies to Understand the Underlying Genetics.

Ifeduba A, Zhen S, Pandey J, Vales M Plants (Basel). 2024; 13(16).

PMID: 39204611 PMC: 11359314. DOI: 10.3390/plants13162175.


The effect of marker types and density on genomic prediction and GWAS of key performance traits in tetraploid potato.

Aalborg T, Sverrisdottir E, Kristensen H, Nielsen K Front Plant Sci. 2024; 15:1340189.

PMID: 38525152 PMC: 10957621. DOI: 10.3389/fpls.2024.1340189.


References
1.
Song Y, Hepting L, Schweizer G, Hartl L, Wenzel G, Schwarzfischer A . Mapping of extreme resistance to PVY (Ry (sto)) on chromosome XII using anther-culture-derived primary dihaploid potato lines. Theor Appl Genet. 2005; 111(5):879-87. DOI: 10.1007/s00122-005-0010-7. View

2.
Mosquera T, Alvarez M, Jimenez-Gomez J, Muktar M, Paulo M, Steinemann S . Targeted and Untargeted Approaches Unravel Novel Candidate Genes and Diagnostic SNPs for Quantitative Resistance of the Potato (Solanum tuberosum L.) to Phytophthora infestans Causing the Late Blight Disease. PLoS One. 2016; 11(6):e0156254. PMC: 4900573. DOI: 10.1371/journal.pone.0156254. View

3.
Qamar A, Mysore K, Senthil-Kumar M . Role of proline and pyrroline-5-carboxylate metabolism in plant defense against invading pathogens. Front Plant Sci. 2015; 6:503. PMC: 4491715. DOI: 10.3389/fpls.2015.00503. View

4.
Gebhardt C, Ritter E, Barone A, Debener T, Walkemeier B, Schachtschabel U . RFLP maps of potato and their alignment with the homoeologous tomato genome. Theor Appl Genet. 2013; 83(1):49-57. DOI: 10.1007/BF00229225. View

5.
Bradbury P, Zhang Z, Kroon D, Casstevens T, Ramdoss Y, Buckler E . TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics. 2007; 23(19):2633-5. DOI: 10.1093/bioinformatics/btm308. View