Advances in Soybean Genetics and Breeding

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Genetics, Genomics and Breeding".

Deadline for manuscript submissions: closed (25 January 2024) | Viewed by 3690

Special Issue Editors


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Guest Editor
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Interests: soybean genetics; functional genomics; genomic selection; molecular breeding and computational breeding

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Guest Editor
Plant Biotechnology Center of Jilin Agricultural University, Changchun 130118, China
Interests: soybean genetics and breeding; crop biotechnology; functional and applied genomics; crop physiology and stress signaling

Special Issue Information

Dear Colleagues,

Soybean, a wealthy source of edible oil and protein, is cultivated globally. In the last century, conventional breeding has made significant progress in soybean breeding; however, considering its limitations of time-consuming variety development, low genetic gain per unit time, and environment sensitiveness, it is not able to maintain pace with the current population growth and climate change. In this context, molecular breeding has emerged as a potential approach to overcome this limitation and accelerate the crop production. Recent technological advances in the field of genome sequencing, “omics”, genome editing, and artificial intelligence-based approaches (e.g., machine learning and deep learning) have allowed to us explore the in-depth genetic mechanism at high accuracy underlying the important traits of soybean and to further deploy these results for the improvement of soybean yield, quality, and stress tolerance to achieve self-sufficiency in soybean production.

For this Special Issue, we seek the submission of research and review articles related to both basic research and technological advancements in soybean genetics and breeding. Authors are welcome to submit articles in the areas of genetic mapping, gene identification, genomic selection, gene editing, genetic engineering, marker-assisted breeding, omics-assisted breeding, high-throughput phenotyping, and other related areas. It is emphasized that papers submitted in this Special Issue are required to possess novel results and/or new plausible and testable models for the integrative analysis of the different approaches applied to soybean breeding.

Prof. Dr. Xianzhong Feng
Prof. Dr. Piwu Wang
Guest Editors

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Keywords

  • soybean
  • genetic mapping
  • functional genomics
  • yield and quality improvement
  • biotic and abiotic stress resistance
  • omics
  • molecular breeding

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Published Papers (2 papers)

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Research

16 pages, 6134 KiB  
Article
Genome-Wide Association Analysis-Based Mining of Quality Genes Related to Linoleic and Linolenic Acids in Soybean
by Jiabao Wang, Lu Liu, Qi Zhang, Tingting Sun and Piwu Wang
Agriculture 2023, 13(12), 2250; https://doi.org/10.3390/agriculture13122250 - 7 Dec 2023
Viewed by 1274
Abstract
Soybean fat contains five principal fatty acids, and its fatty acid composition and nutritional value depend on the type of soybean oil, storage duration, and conditions. Among the fat contents, polyunsaturated fatty acids, such as linoleic acid and linolenic acid, play an essential [...] Read more.
Soybean fat contains five principal fatty acids, and its fatty acid composition and nutritional value depend on the type of soybean oil, storage duration, and conditions. Among the fat contents, polyunsaturated fatty acids, such as linoleic acid and linolenic acid, play an essential role in maintaining human life activities; thus, increasing the proportions of the linoleic acid and linolenic acid contents can help improve the nutritional value of soybean oil. Our laboratory completed SLAF-seq whole genome sequencing of the natural population (292 soybean varieties) in the previous growth period. In this study, genome-wide association analysis (GWAS) was performed based on the natural population genotypic data and three-year phenotypic data of soybean linoleic acid and linolenic acid contents, and a significant single nucleotide polymorphisms (SNPs) locus (Gm13_10009679) associated with soybean oleic acid content was repeatedly detected over a span of 3 years using the GLM model and MLM model. Additionally, another significant SNP locus (Gm19_41366844) correlated with soybean linolenic acid was identified through the same models. Genes within the 100 Kb interval upstream and downstream of the SNP loci were scanned and analyzed for their functional annotation and enrichment, and one gene related to soybean linoleic acid synthesis (Glyma.13G035600) and one gene related to linolenic acid synthesis (Glyma.19G147400) were screened. The expressions of the candidate genes were verified using qRT-PCR, and based on the verification results, it was hypothesized that Glyma.13G035600 and Glyma.19G147400 positively regulate linoleic acid and linolenic acid synthesis and accumulation, respectively. The above study lays the foundation for further validating gene functions, and analyzing the regulatory mechanisms of linoleic acid and linolenic acid synthesis and accumulation in soybean. Full article
(This article belongs to the Special Issue Advances in Soybean Genetics and Breeding)
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12 pages, 1496 KiB  
Article
Impact of Allelic Variation in Maturity Genes E1E4 on Soybean Adaptation to Central and West Siberian Regions of Russia
by Roman Perfil’ev, Andrey Shcherban, Dmitriy Potapov, Konstantin Maksimenko, Sergey Kiryukhin, Sergey Gurinovich, Veronika Panarina, Revmira Polyudina and Elena Salina
Agriculture 2023, 13(6), 1251; https://doi.org/10.3390/agriculture13061251 - 15 Jun 2023
Cited by 4 | Viewed by 1788
Abstract
Four maturity genes, namely, E1, E2, E3 and E4, have been found to play major roles in controlling the flowering and maturity time of soybean. Which genotypes of E1E4 genes provide effective adaptation to the varied conditions of [...] Read more.
Four maturity genes, namely, E1, E2, E3 and E4, have been found to play major roles in controlling the flowering and maturity time of soybean. Which genotypes of E1E4 genes provide effective adaptation to the varied conditions of Russia are unknown. To clarify this issue, we have studied the allele variation in soybean E1E4 genes in terms of both flowering and maturity time under the natural day-length conditions of Central Russia and Western Siberia in a collection of 176 soybean accessions, including 142 Russian and 34 foreign accessions. As a result, a high frequency of previously determined E1E4 alleles has been identified. The field experiment showed that genotypes with all recessive alleles from e1-nl/e2/e3/e4 and e1-as/e2/e3/e4 provide the effective adaptation of soybean to the mentioned conditions. Cultivars with these genotypes are considered to be most suitable for cultivation in Central Russia and Western Siberia. Full article
(This article belongs to the Special Issue Advances in Soybean Genetics and Breeding)
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