Cited by 34Wheat and Barley Genetics and PathologyPlant nutrient uptake and metabolismGenetic Mapping and Diversity in Plants and Animals

Genome-Wide Association Study and Identification of Candidate Genes for Nitrogen Use Efficiency in Barley (Hordeum vulgare L.)

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Karunarathne, Sakura D., Han, Yong, Zhang, Xiao-Qi, Zhou, Gaofeng, Hill, Camilla B., Chen, Kefei, Angessa, Tefera, Li, Chengdao·2020·Frontiers in Plant Science

Abstract

Nitrogen (N) fertiliser is largely responsible for barley grain yield potential and quality, yet excessive application leads to environmental pollution and high production costs. Therefore, efficient use of N is fundamental for sustainable agriculture. In the present study, we investigated the performance of 282 barley accessions through hydroponic screening using optimal and low NH4NO3 treatments. Low-N treatment led to an average shoot dry weight reduction of 50% but there were significant genotypic differences among the accessions. Approximately 20% of the genotypes showed high (>75%) relative shoot dry weight under low-N treatment and were classified as low-N tolerant whereas 20% were low-N sensitive (≤55%). Low-N tolerant accessions exhibited well-developed root systems with an average increase of 60% in relative root dry weight to facilitate more N absorption. A genome-wide association study (GWAS) identified 66 significant marker trait associations (MTAs) conferring high nitrogen use efficiency, four of which were stable across experiments. These four MTAs were located on chromosomes 1H(1), 3H(1) and 7H(2) and were associated with relative shoot length, relative shoot and root dry weight. Genes corresponding to the significant MTAs were retrieved as candidate genes, including members of the asparagine synthetase gene family, several transcription factor families, protein kinases and nitrate transporters. Most importantly, the high-affinity nitrate transporter 2.7 (HvNRT2.7) was identified as a promising candidate on 7H for root and shoot dry weight. The identified candidate genes provide new insights into our understanding of the molecular mechanisms driving nitrogen use efficiency in barley and represent potential targets for genetic improvement.

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  1. Safina S. A. (2010). Effect of nitrogen levels on grain yield and quality of some barley genotypes grown on sandy soil and salinity irrigation. Egypt J. Agronomy. 32 (2), 207– 222.
  2. Yang L. Hu H. Zhu B. Jin X. Wu F. Zhang G. P. (2014). Genotypic variations of nitrogen use efficiency in Tibetan wild and cultivated barleys. J. Zhejiang Univ. 40 (2), 155– 164. 10.3785/j.issn.1008-9209 · DOI

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Authors
Karunarathne, S. D., Han, Y., Zhang, X.-Q., Zhou, G., Hill, C. B., Chen, K., Angessa, T., & Li, C.
Affiliations
  • Murdoch University (AU)
  • Curtin University (AU)
Corresponding author
Li, Chengdao
Venue
Frontiers in Plant Science
Published
2020-09-04
Volume
11
Pages
571912-571912
ISSN
1664-462X (ISSN-L)
OpenAlex
W3083093394
Cited by
34
References
94
Citations by year
2026: 4 · 2025: 3 · 2024: 1 · 2023: 11 · 2022: 9 · 2021: 6
FWCI
4.19
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Plant Science (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Murdoch University Research Portal (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eSpace (Curtin University) (submittedVersion, cc-by)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
Funders
  • Murdoch University
  • Department of Primary Industries and Regional Development, Government of Western Australia
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Wheat and Barley Genetics and Pathology
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant nutrient uptake and metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
nitrogen use efficiency, barley, low nitrogen tolerance, candidate genes, marker-trait association, nitrate transporters, asparagine synthetase, transcription factors, protein kinases, root dry weight, shoot dry weight, hydroponic screening, nitrogen fertiliser

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