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Plant function and evolutionary biology
RESEARCH ARTICLE

Genome-wide association studies identifies genetic loci related to fatty acid and branched-chain amino acid metabolism and histone modifications under varying nitrogen treatments in safflower (Carthamus tinctorius)

Fawad Ali A B , Mian A. R. Arif C , Arif Ali D , Muhammad A. Nadeem E , Emre Aksoy F , Allah Bakhsh G , Shahid U. Khan H I , Cemal Kurt J , Dilek Tekdal K , Muhammad K. Ilyas https://orcid.org/0000-0001-9487-7302 L , Amjad Hameed C , Yong S. Chung M * and Faheem S. Baloch https://orcid.org/0000-0002-7470-0080 K *
+ Author Affiliations
- Author Affiliations

A School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), School of Tropical Agriculture and Forestry Hainan University, Sanya 572025, Hai-nan, China.

B Department of Botany, University of Baltistan Skardu, Gilgil Baltistan, 16100, Pakistan.

C Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan.

D Department of Plant Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.

E Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas 58140, Turkey.

F Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.

G Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.

H Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715, China.

I Women Medical and Dental College, Khyber Medical University, Peshawar, KPK, 22020, Pakistan.

J Department of Field Crops, Faculty of Agriculture, University of Çukurova, Adana, Turkey.

K Faculty of Science, Department of Biotechnology, Mersin University, 33343, Yenişehir, Mersin, Turkey.

L National Agricultural Research Centre, Park Road, Islamabad 45500, Pakistan.

M Department of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea.


Handling Editor: Sajid Fiaz

Functional Plant Biology 51, FP23310 https://doi.org/10.1071/FP23310
Submitted: 9 January 2024  Accepted: 9 April 2024  Published: 29 April 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Effective identification and usage of genetic variation are prerequisites for developing nutrient-efficient cultivars. A collection of 94 safflower (Carthamus tinctorius) genotypes (G) was investigated for important morphological and photosynthetic traits at four nitrogen (N) treatments. We found significant variation for all the studied traits except chlorophyll b (chl b) among safflower genotypes, nitrogen treatments and G × N interaction. The examined traits showed a 2.82–50.00% increase in response to N application. Biological yield (BY) reflected a significantly positive correlation with fresh shoot weight (FSW), root length (RL), fresh root weight (FRW) and number of leaves (NOL), while a significantly positive correlation was also observed among carotenoids (C), chlorophyll a (chl a), chl b and total chlorophyll content (CT) under all treatments. Superior genotypes with respect to plant height (PH), FSW, NOL, RL, FRW and BY were clustered into Group 3, while genotypes with better mean performance regarding chl a, chl b C and CT were clustered into Group 2 as observed in principal component analysis. The identified eight best-performing genotypes could be useful to develop improved nitrogen efficient cultivars. Genome-wide association analysis resulted in 32 marker-trait associations (MTAs) under four treatments. Markers namely DArT-45481731, DArT-17812864, DArT-15670279 and DArT-45482737 were found consistent. Protein–protein interaction networks of loci associated with MTAs were related to fatty acid and branched-chain amino acid metabolism and histone modifications.

Keywords: biological yield, chlorophyll content, correlation, genome-wide association mapping, marker-trait association, morphological traits, photosynthetic traits, principal component analysis.

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