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EDITORIAL article

Front. Genet., 08 May 2024
Sec. Genomics of Plants and the Phytoecosystem
This article is part of the Research Topic Genetic Association Studies in Oil Seeds View all 6 articles

Editorial: Genetic association studies in oil seeds

V. G. Shobhana
&#x;V. G. Shobhana1*Silvas J. P. Kirubakaran&#x;Silvas J. P. KirubakaranSong Li&#x;Song Li3T. P. ParthibanT. P. Parthiban4
  • 1Department of Plant Molecular Biology and Biotechnology, Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore, India
  • 2Upstream Biotechnology, Durham, NC, United States
  • 3Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou, China
  • 4International Rice Research Institute, Manila, Philippines

Editorial on the Research Topic
Genetic association studies in oil seeds

Crop improvement traits that are significant for agriculture are genetically complex and regulated by polygenes. These polygenes are spread across crop genomes and mapped as genomic targets known as quantitative trait loci (QTLs). Genome-Wide Association (GWA) mapping is an effective plant breeding strategy for detecting natural allelic variations and associating haplotype polymorphisms with valuable agronomic traits such as yield, (a) biotic resistance, and nutritional quality traits. GWA has gained momentum over traditional mapping by documenting alleles/QTLs with a higher resolution by addressing the population structure and linkage disequilibrium (LD). The success of GWA relies on the germplasm choice, population size and diversity, molecular marker density, accurate phenotypic data, and appropriate statistical analyses. The biological value of the genomic regions identified by QTL or GWA warrants validation through diverse functional genomic approaches that drive crop improvement in commercial crops. Combining mapping and functional genomic strategies will enhance the use of genetic variation to improve economically valuable traits of crop plants. Association mapping studies in oilseed crops are at an early stage and are accelerating at a faster pace. Association mapping would unquestionably find genomic solutions to mitigate losses caused by both biotic and abiotic factors, with the success of identifying true associations depending on the marker with higher association signals and their positions within LD.

This editorial embarks on discoveries made with association mapping of the complex traits of economically valuable oilseed crops. Soybean is an important legume and its oil is used in major industrial and pharmaceutical applications and biodiesel production. Lipoxygenases (LOXs) are a family of iron or manganese-containing dioxygenases that catalyze the oxygenation of polyunsaturated fatty acids in plants. Lipoxygenase (LOXs) genes are known to play pivotal roles in regulating growth and development, and orchestrate plant stress responses. The study done by Zhang et al. investigated the phylogenetic divergence of LOX genes in the genome of the Chinese elite cultivar, Zhonghuang 13 and their evolutionary history over domestication provides insights for optimizing stress response, growth and development, hormone response, and light response in soybean. Further mining of LOX variants in wild soybean progenitors revealed the role of genome events, such as duplication and translocation of segments between chromosomes for LOX genes. Structural analysis, coupled with tissue-specific expression analysis, provided insights into conserved motifs and domains, offering clues about their functional roles.

Agricultural research is undergoing a transformative shift through the integration of genomic mapping tools with genomic selection (GS) technologies to accelerate genetic gain for agronomically valuable traits in crop breeding pipelines. Safflower is a global multipurpose crop with seed oil preferred for its high oleic and linoleic acid contents. This study employed a GS approach to simultaneously improve traits with low heritability, such as grain yield, plant height, and days to flowering. Zhao et al. meticulously improved the selection accuracy of grain yield in safflower along with plant height measurements. This study deployed state-of-the-art methods, including genotype × environment interactions in the GS approach, and enhanced the selection accuracy and genetic prediction accuracy for grain yield and oil content.

The aim was to unravel the genomic regions underpinning seed size and shape, which are the key determinants of soybean seed yield. Jiang et al. deployed Quantitative Trait Loci (QTL) mapping to identify genomic regions controlling seed size related attributes across environments. The results revealed a complex genomic landscape with multiple QTLs exerting an influence on seed weight, length, width, and length-to-width ratio. Armed with information on genomic regions associated with multiple seed-related traits, breeders can accelerate the development of improved soybean varieties. Genomic analysis and functional annotation of candidate genes underlying seed size QTLs offer the potential to regulate soybean seed size traits efficiently through functional genomics approaches.

Similar to soybean, sesame is another crop that is gaining worldwide recognition for its healthy functional ingredients in seed oil. Lignans and fat-soluble and water-soluble compounds were the predominant components of sesame oil. Kim et al. conducted a QTL-seq analysis by pooling individuals with contrasting lignan content phenotypes and identified specific genomic regions with interaction ability within the genome. The identification of genomic regions associated with lignan content lays the foundation for breeding resilient and highly nutritive sesame varieties.

Although research progress on understanding the genomes of woody oilseed plants lags behind herbaceous oil crops, the technological development of sequencing technologies and reduced costs have enabled progress in the sequencing of woody oilseed plants, which are deciduous under shrubs or small trees that are native Chinese woody species that can survive in a wide range of growing environments. Yellow horn fruit is rich in unsaturated fatty acids and is a source of high-grade vegetable oils with nutritive value and health benefits. In addition to unsaturated fatty acids (linoleic acid and oleic acid), a minor percentage content of a relatively rare fatty acid, nervonic acid, is indispensable for nervous system development, making it more desirable. Agronomic and physiological studies of yellow horn fruit coupled with transcriptional analysis by Liu et al. have provided insights into the unique expression patterns of fatty acid biosynthesis pathway genes across different developmental stages of seed coat and kernel development. Gene network analysis provides insights into the complex genetic interactions within the genome during fatty acid biosynthesis. Understanding the diversity and functions of the regulatory mechanisms of the fatty acid biosynthesis pathway allows researchers to fortify the fatty acid and lipid content of woody oil seed plants.

Author contributions

VS: Conceptualization, Writing–original draft, Writing–review and editing. SP: Conceptualization, Writing–original draft, Writing–review and editing. SL: Conceptualization, Writing–original draft, Writing–review and editing. TP: Writing–review and editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

Author SP was employed by Upstream Biotechnology.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: oilseeds, genetic association, yield, quality, QTL

Citation: Shobhana VG, Kirubakaran SJP, Li S and Parthiban TP (2024) Editorial: Genetic association studies in oil seeds. Front. Genet. 15:1411718. doi: 10.3389/fgene.2024.1411718

Received: 03 April 2024; Accepted: 09 April 2024;
Published: 08 May 2024.

Edited and reviewed by:

Andrew H. Paterson, University of Georgia, United States

Copyright © 2024 Shobhana, Kirubakaran, Li and Parthiban. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: V. G. Shobhana, dmdzaG9iaGFuYUBnbWFpbC5jb20=

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.