1
|
Tanaka S, Ariyoshi Y, Taniguchi T, Nakagawa ACS, Hamaoka N, Iwaya-Inoue M, Suriyasak C, Ishibashi Y. Heat shock protein 70 is associated with duration of cell proliferation in early pod development of soybean. Commun Biol 2024; 7:755. [PMID: 38906939 PMCID: PMC11192946 DOI: 10.1038/s42003-024-06443-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 06/12/2024] [Indexed: 06/23/2024] Open
Abstract
Pod is an important organ for seed production in soybean. Pod size varies among soybean cultivars, but the mechanism is largely unknown. Here we reveal one of the factors for pod size regulation. We investigate pod size differences between two cultivars. The longer pod of 'Tachinagaha' is due to more cell number than in the short pod of 'Iyodaizu'. POD SIZE OF SOYBEAN 8 (GmPSS8), a member of the heat shock protein 70 (HSP70) family, is identified as a candidate gene for determining pod length in a major QTL for pod length. Expression of GmPSS8 in pods is higher in 'Tachinagaha' than 'Iyodaizu' and is highest in early pod development. The difference in expression is the result of an in/del polymorphism which includes an enhancer motif. Treatment with an HSP70 inhibitor reduces pod length and cell number in the pod. Additionally, shorter pods in Arabidopsis hsp70-1/-4 double mutant are rescued by overexpression of GmPSS8. Our results identify GmPSS8 as a target gene for pod length, which regulates cell number during early pod development through regulation of transcription in soybean. Our findings provide the mechanisms of pod development and suggest possible strategies enhancing yield potential in soybean.
Collapse
Affiliation(s)
- Seiya Tanaka
- Faculty of Agriculture, Kyushu University, Fukuoka, 819-0395, Japan
| | - Yuri Ariyoshi
- Faculty of Agriculture, Kyushu University, Fukuoka, 819-0395, Japan
| | | | - Andressa C S Nakagawa
- Faculty of Agriculture, Kyushu University, Fukuoka, 819-0395, Japan
- Japan International Research Center for Agricultural Sciences, Tsukuba, 305-8686, Japan
| | | | - Mari Iwaya-Inoue
- Faculty of Agriculture, Kyushu University, Fukuoka, 819-0395, Japan
| | | | - Yushi Ishibashi
- Faculty of Agriculture, Kyushu University, Fukuoka, 819-0395, Japan.
| |
Collapse
|
2
|
Goswami K, Badruddeen, Arif M, Akhtar J, Khan MI, Ahmad M. Flavonoids, Isoflavonoids and others Bioactives for Insulin Sensitizations. Curr Diabetes Rev 2024; 20:e270423216247. [PMID: 37102490 DOI: 10.2174/1573399819666230427095200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 04/28/2023]
Abstract
Diabetes is a chronic condition that has an impact on a huge part of the world. Both animals and humans have been demonstrated to benefit from natural goods, and organisms (animals, or microbes). In 2021, approximately 537 million adults (20-79 years) are living with diabetes, making it the one of the biggest cause of death worldwide. Various phytoconstituent preserved β- cells activity helps to prevent the formation of diabetes problems. As a result, β-cells mass and function are key pharmaceutical targets. The purpose of this review is to provide an overview of flavonoids' effects on pancreatic β-cells. Flavonoids have been demonstrated to improve insulin release in cell lines of isolated pancreatic islets and diabetic animal models. Flavonoids are thought to protect β-cells by inhibiting nuclear factor-κB (NF-κB) signaling, activating the phosphatidylinositol 3-kinase (PI3K) pathway, inhibiting nitric oxide production, and lowering reactive oxygen species levels. Flavonoids boost β-cells secretory capacity by improving mitochondrial bioenergetic function and increasing insulin secretion pathways. Some of the bioactive phytoconstituents such as S-methyl cysteine sulfoxides stimulate insulin synthesis in the body and increase pancreatic output. The berberine increased insulin secretion in the HIT-T15 and Insulinoma 6 (MIN6) mouse cell line. Epigallocatechin-3-Gallate protects against toxicity accrued by cytokines, reactive oxygen species (ROS), and hyperglycemia. Quercetin has been proven to boost insulin production by Insulinoma 1 (INS-1) cells and also protect cell apoptosis. Overall flavonoids have beneficial effects on β-cells by prevented their malfunctioning or degradation and improving synthesis or release of insulin from β-cells.
Collapse
Affiliation(s)
- Kushagra Goswami
- Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, U.P. 226026, India
| | - Badruddeen
- Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, U.P. 226026, India
| | - Muhammad Arif
- Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, U.P. 226026, India
| | - Juber Akhtar
- Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, U.P. 226026, India
| | - Mohammad Irfan Khan
- Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, U.P. 226026, India
| | - Mohammad Ahmad
- Faculty of Pharmacy, Integral University, Kursi Road, Lucknow, U.P. 226026, India
| |
Collapse
|
3
|
Million CR, Wijeratne S, Karhoff S, Cassone BJ, McHale LK, Dorrance AE. Molecular mechanisms underpinning quantitative resistance to Phytophthora sojae in Glycine max using a systems genomics approach. FRONTIERS IN PLANT SCIENCE 2023; 14:1277585. [PMID: 38023885 PMCID: PMC10662313 DOI: 10.3389/fpls.2023.1277585] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023]
Abstract
Expression of quantitative disease resistance in many host-pathogen systems is controlled by genes at multiple loci, each contributing a small effect to the overall response. We used a systems genomics approach to study the molecular underpinnings of quantitative disease resistance in the soybean-Phytophthora sojae pathosystem, incorporating expression quantitative trait loci (eQTL) mapping and gene co-expression network analysis to identify the genes putatively regulating transcriptional changes in response to inoculation. These findings were compared to previously mapped phenotypic (phQTL) to identify the molecular mechanisms contributing to the expression of this resistance. A subset of 93 recombinant inbred lines (RILs) from a Conrad × Sloan population were inoculated with P. sojae isolate 1.S.1.1 using the tray-test method; RNA was extracted, sequenced, and the normalized read counts were genetically mapped from tissue collected at the inoculation site 24 h after inoculation from both mock and inoculated samples. In total, more than 100,000 eQTLs were mapped. There was a switch from predominantly cis-eQTLs in the mock treatment to an almost entirely nonoverlapping set of predominantly trans-eQTLs in the inoculated treatment, where greater than 100-fold more eQTLs were mapped relative to mock, indicating vast transcriptional reprogramming due to P. sojae infection occurred. The eQTLs were organized into 36 hotspots, with the four largest hotspots from the inoculated treatment corresponding to more than 70% of the eQTLs, each enriched for genes within plant-pathogen interaction pathways. Genetic regulation of trans-eQTLs in response to the pathogen was predicted to occur through transcription factors and signaling molecules involved in plant-pathogen interactions, plant hormone signal transduction, and MAPK pathways. Network analysis identified three co-expression modules that were correlated with susceptibility to P. sojae and associated with three eQTL hotspots. Among the eQTLs co-localized with phQTLs, two cis-eQTLs with putative functions in the regulation of root architecture or jasmonic acid, as well as the putative master regulators of an eQTL hotspot nearby a phQTL, represent candidates potentially underpinning the molecular control of these phQTLs for resistance.
Collapse
Affiliation(s)
- Cassidy R. Million
- Department of Plant Pathology, The Ohio State University, Wooster, OH, United States
- Center for Soybean Research and Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, United States
| | - Saranga Wijeratne
- Molecular and Cellular Imaging Center, The Ohio State University, Wooster, OH, United States
| | - Stephanie Karhoff
- Center for Soybean Research and Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, United States
- Translational Plant Sciences Graduate Program, The Ohio State University, Columbus, OH, United States
| | - Bryan J. Cassone
- Center for Soybean Research and Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, United States
- Department of Biology, Brandon University, Brandon, Manitoba, MB, Canada
| | - Leah K. McHale
- Center for Soybean Research and Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, United States
- Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, United States
| | - Anne E. Dorrance
- Department of Plant Pathology, The Ohio State University, Wooster, OH, United States
- Center for Soybean Research and Center for Applied Plant Sciences, The Ohio State University, Columbus, OH, United States
| |
Collapse
|
4
|
Ahmed QU, Ali AHM, Mukhtar S, Alsharif MA, Parveen H, Sabere ASM, Nawi MSM, Khatib A, Siddiqui MJ, Umar A, Alhassan AM. Medicinal Potential of Isoflavonoids: Polyphenols That May Cure Diabetes. Molecules 2020; 25:molecules25235491. [PMID: 33255206 PMCID: PMC7727648 DOI: 10.3390/molecules25235491] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/14/2020] [Accepted: 11/18/2020] [Indexed: 01/18/2023] Open
Abstract
In recent years, there is emerging evidence that isoflavonoids, either dietary or obtained from traditional medicinal plants, could play an important role as a supplementary drug in the management of type 2 diabetes mellitus (T2DM) due to their reported pronounced biological effects in relation to multiple metabolic factors associated with diabetes. Hence, in this regard, we have comprehensively reviewed the potential biological effects of isoflavonoids, particularly biochanin A, genistein, daidzein, glycitein, and formononetin on metabolic disorders and long-term complications induced by T2DM in order to understand whether they can be future candidates as a safe antidiabetic agent. Based on in-depth in vitro and in vivo studies evaluations, isoflavonoids have been found to activate gene expression through the stimulation of peroxisome proliferator-activated receptors (PPARs) (α, γ), modulate carbohydrate metabolism, regulate hyperglycemia, induce dyslipidemia, lessen insulin resistance, and modify adipocyte differentiation and tissue metabolism. Moreover, these natural compounds have also been found to attenuate oxidative stress through the oxidative signaling process and inflammatory mechanism. Hence, isoflavonoids have been envisioned to be able to prevent and slow down the progression of long-term diabetes complications including cardiovascular disease, nephropathy, neuropathy, and retinopathy. Further thoroughgoing investigations in human clinical studies are strongly recommended to obtain the optimum and specific dose and regimen required for supplementation with isoflavonoids and derivatives in diabetic patients.
Collapse
Affiliation(s)
- Qamar Uddin Ahmed
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia; (A.H.M.A); (A.S.M.S.); (M.S.M.N.); (A.K.); (M.J.S.)
- Pharmacognosy Research Group, Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia
- Correspondence: (Q.U.A.); (S.M.)
| | - Abdul Hasib Mohd Ali
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia; (A.H.M.A); (A.S.M.S.); (M.S.M.N.); (A.K.); (M.J.S.)
| | - Sayeed Mukhtar
- Department of Chemistry, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia; (M.A.A.); (H.P.)
- Correspondence: (Q.U.A.); (S.M.)
| | - Meshari A. Alsharif
- Department of Chemistry, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia; (M.A.A.); (H.P.)
| | - Humaira Parveen
- Department of Chemistry, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia; (M.A.A.); (H.P.)
| | - Awis Sukarni Mohmad Sabere
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia; (A.H.M.A); (A.S.M.S.); (M.S.M.N.); (A.K.); (M.J.S.)
- Pharmacognosy Research Group, Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia
| | - Mohamed Sufian Mohd. Nawi
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia; (A.H.M.A); (A.S.M.S.); (M.S.M.N.); (A.K.); (M.J.S.)
- Pharmacognosy Research Group, Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia
| | - Alfi Khatib
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia; (A.H.M.A); (A.S.M.S.); (M.S.M.N.); (A.K.); (M.J.S.)
- Pharmacognosy Research Group, Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia
| | - Mohammad Jamshed Siddiqui
- Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia; (A.H.M.A); (A.S.M.S.); (M.S.M.N.); (A.K.); (M.J.S.)
- Pharmacognosy Research Group, Department of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Pahang DM, Malaysia
| | - Abdulrashid Umar
- Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, P M B: 2436 Sokoto, Nigeria; (A.U.); (A.M.A.)
| | - Alhassan Muhammad Alhassan
- Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, P M B: 2436 Sokoto, Nigeria; (A.U.); (A.M.A.)
| |
Collapse
|
5
|
Wu D, Li D, Zhao X, Zhan Y, Teng W, Qiu L, Zheng H, Li W, Han Y. Identification of a candidate gene associated with isoflavone content in soybean seeds using genome-wide association and linkage mapping. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 104:950-963. [PMID: 32862479 DOI: 10.1111/tpj.14972] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 07/29/2020] [Accepted: 08/10/2020] [Indexed: 05/11/2023]
Abstract
Isoflavone, a secondary metabolite produced by Glycine max (L.) Merr. (soybean), is valuable for human and plant health. The genetic architecture of soybean isoflavone content remains unclear, however, despite several mapping studies. We generated genomic data for 200 soybean cultivars and 150 recombinant inbred lines (RILs) to localize putative loci associated with soybean seed isoflavone content. Using a genome-wide association study (GWAS), we identified 87 single-nucleotide polymorphisms (SNPs) that were significantly associated with isoflavone concentration. Using linkage mapping, we identified 37 quantitative trait loci (QTLs) underlying the content of four isoflavones found in the RILs. A major locus on chromosome 8 (qISO8-1) was co-located by both the GWAS and linkage mapping. qISO8-1 was fine mapped to a 99.5-kb region, flanked by SSR_08_1651 and SSR_08_1656, in a BC2 F5 population. GmMPK1, encoding a mitogen-activated protein kinase, was identified as the causal gene in qISO8-1, and two natural GmMPK1 polymorphisms were significantly associated with isoflavone content. Overexpression of GmMPK1 in soybean hairy roots resulted in increased isoflavone concentrations. Overexpressing GmMPK1 in transgenic soybeans had greater resistance to Phytophthora root rot, suggesting that GmMPK1 might increase soybean resistance to biotic stress by influencing isoflavone content. Our results not only increase our understanding of the genetic architecture of soybean seed isoflavone content, but also provide a framework for the future marker-assisted breeding of high isoflavone content in soybean cultivars.
Collapse
Affiliation(s)
- Depeng Wu
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Dongmei Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Xue Zhao
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Yuhang Zhan
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Weili Teng
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Lijuan Qiu
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongkun Zheng
- Bioinformatics Division, Biomarker Technologies Corporation, Beijing, 101300, China
| | - Wenbin Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Yingpeng Han
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| |
Collapse
|
6
|
Balmant KM, Noble JD, C Alves F, Dervinis C, Conde D, Schmidt HW, Vazquez AI, Barbazuk WB, Campos GDL, Resende MFR, Kirst M. Xylem systems genetics analysis reveals a key regulator of lignin biosynthesis in Populus deltoides. Genome Res 2020; 30:1131-1143. [PMID: 32817237 PMCID: PMC7462072 DOI: 10.1101/gr.261438.120] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 07/13/2020] [Indexed: 02/01/2023]
Abstract
Despite the growing resources and tools for high-throughput characterization and analysis of genomic information, the discovery of the genetic elements that regulate complex traits remains a challenge. Systems genetics is an emerging field that aims to understand the flow of biological information that underlies complex traits from genotype to phenotype. In this study, we used a systems genetics approach to identify and evaluate regulators of the lignin biosynthesis pathway in Populus deltoides by combining genome, transcriptome, and phenotype data from a population of 268 unrelated individuals of P. deltoides The discovery of lignin regulators began with the quantitative genetic analysis of the xylem transcriptome and resulted in the detection of 6706 and 4628 significant local- and distant-eQTL associations, respectively. Among the locally regulated genes, we identified the R2R3-MYB transcription factor MYB125 (Potri.003G114100) as a putative trans-regulator of the majority of genes in the lignin biosynthesis pathway. The expression of MYB125 in a diverse population positively correlated with lignin content. Furthermore, overexpression of MYB125 in transgenic poplar resulted in increased lignin content, as well as altered expression of genes in the lignin biosynthesis pathway. Altogether, our findings indicate that MYB125 is involved in the control of a transcriptional coexpression network of lignin biosynthesis genes during secondary cell wall formation in P. deltoides.
Collapse
Affiliation(s)
- Kelly M Balmant
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Jerald D Noble
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
| | - Filipe C Alves
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824, USA
| | - Christopher Dervinis
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Daniel Conde
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Henry W Schmidt
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
| | - Ana I Vazquez
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824, USA
| | - William B Barbazuk
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
- Department of Biology, University of Florida, Gainesville, Florida 32611, USA
- Genetics Institute, University of Florida, Gainesville, Florida 32611, USA
| | - Gustavo de Los Campos
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824, USA
- Statistics Department, Michigan State University, East Lansing, Michigan 48824, USA
| | - Marcio F R Resende
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
- Horticulture Sciences Department, University of Florida, Gainesville, Florida 32611, USA
| | - Matias Kirst
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
- Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611, USA
- Genetics Institute, University of Florida, Gainesville, Florida 32611, USA
| |
Collapse
|
7
|
Sui M, Jing Y, Li H, Zhan Y, Luo J, Teng W, Qiu L, Zheng H, Li W, Zhao X, Han Y. Identification of Loci and Candidate Genes Analyses for Tocopherol Concentration of Soybean Seed. FRONTIERS IN PLANT SCIENCE 2020; 11:539460. [PMID: 33013963 PMCID: PMC7509058 DOI: 10.3389/fpls.2020.539460] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 08/18/2020] [Indexed: 05/20/2023]
Abstract
Tocopherol (Toc) occurs in soybean seeds and is extracted together with the soybean oil. Toc is utilized as an antioxidant in food and an additive in animal feed. A total of 180 representative accessions and 144 recombinant inbred lines (RILs) from the cross of 'Hefeng 25' and 'OAC Bayfield' were selected to evaluate individuals and total Toc concentrations in soybean seeds. The 180 soybean samples were sequenced by the approach of Specific Locus Amplified Fragment Sequencing (SLAF-seq). A total of 22,611 single nucleotide polymorphisms (SNPs) were developed. Nineteen quantitative trait nucleotides (QTNs) were identified associated with individual or total-Toc based on genome-wide association analysis (GWAS). Among them, three QTNs located near known QTLs, and 16 were novel. Eighteen QTLs and nine eQTLs were also detected by linkage mapping. The QTN rs9337368 on Chr.02 was colocalized according to the linkage mapping of the RILs and genome-wide association analysis and regarded as a stable locus for mining the candidate genes in association with Toc. A total of 42 candidate genes near the 200 kbp flanking region of this identified locus were found. Upon a gene-based association, 11 SNPs from five genes out of the 42 candidates were detected. Expression level analysis of five candidate genes revealed that two genes were significantly related to Toc content. The identified loci, along with the candidate genes, might be valuable for increasing the Toc concentration in soybean seeds and improving the nutritional value of soybean oil.
Collapse
Affiliation(s)
- Meinan Sui
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Yan Jing
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Haiyan Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Yuhang Zhan
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Jian Luo
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Weili Teng
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Lijuan Qiu
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI) Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongkun Zheng
- Bioinformatics Division, Biomarker Technologies Corporation, Beijing, China
| | - Wenbin Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
| | - Xue Zhao
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
- *Correspondence: Yingpeng Han, ; Xue Zhao,
| | - Yingpeng Han
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, China
- *Correspondence: Yingpeng Han, ; Xue Zhao,
| |
Collapse
|
8
|
Zafar S, Li YL, Li NN, Zhu KM, Tan XL. Recent advances in enhancement of oil content in oilseed crops. J Biotechnol 2019; 301:35-44. [PMID: 31158409 DOI: 10.1016/j.jbiotec.2019.05.307] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/14/2019] [Accepted: 05/29/2019] [Indexed: 10/26/2022]
Abstract
Plant oils are very valuable agricultural commodity. The manipulation of seed oil composition to deliver enhanced fatty acid compositions, which are appropriate for feed or fuel, has always been a main objective of metabolic engineers. The last two decennary have been noticeable by numerous significant events in genetic engineering for identification of different gene targets to improve oil yield in oilseed crops. Particularly, genetic engineering approaches have presented major breakthrough in elevating oil content in oilseed crops such as Brassica napus and soybean. Additionally, current research efforts to explore the possibilities to modify the genetic expression of key regulators of oil accumulation along with biochemical studies to elucidate lipid biosynthesis will establish protocols to develop transgenic oilseed crops along much improved oil content. In this review, we describe current distinct genetic engineering approaches investigated by researchers for ameliorating oil content and its nutritional quality. Moreover, we will also discuss some auspicious and innovative approaches and challenges for engineering oil content to yield oil at much higher rate in oilseed crops.
Collapse
Affiliation(s)
- Sundus Zafar
- School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, People's Republic of China; Institute of Life Sciences, Jiangsu University, Zhenjiang 212013, People's Republic of China
| | - Yu-Long Li
- Institute of Life Sciences, Jiangsu University, Zhenjiang 212013, People's Republic of China
| | - Nan-Nan Li
- School of Resource and Environment, Southwest University, Chongqing, 400715, People's Republic of China
| | - Ke-Ming Zhu
- Institute of Life Sciences, Jiangsu University, Zhenjiang 212013, People's Republic of China
| | - Xiao-Li Tan
- Institute of Life Sciences, Jiangsu University, Zhenjiang 212013, People's Republic of China.
| |
Collapse
|
9
|
Cai Z, Cheng Y, Ma Z, Liu X, Ma Q, Xia Q, Zhang G, Mu Y, Nian H. Fine-mapping of QTLs for individual and total isoflavone content in soybean (Glycine max L.) using a high-density genetic map. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:555-568. [PMID: 29159422 DOI: 10.1007/s00122-017-3018-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 11/04/2017] [Indexed: 06/07/2023]
Abstract
KEY MESSAGE Fifteen stable QTLs were identified using a high-density soybean genetic map across multiple environments. One major QTL, qIF5-1, contributing to total isoflavone content explained phenotypic variance 49.38, 43.27, 46.59, 45.15 and 52.50%, respectively. Soybeans (Glycine max L.) are a major source of dietary isoflavones. To identify novel quantitative trait loci (QTL) underlying isoflavone content, and to improve the accuracy of marker-assisted breeding in soybean, a valuable mapping population comprised of 196 F7:8-10 recombinant inbred lines (RILs, Huachun 2 × Wayao) was utilized to evaluate individual and total isoflavone content in plants grown in four different environments in Guangdong. A high-density genetic linkage map containing 3469 recombination bin markers based on 0.2 × restriction site-associated DNA tag sequencing (RAD-seq) technology was used to finely map QTLs for both individual and total isoflavone contents. Correlation analyses showed that total isoflavone content, and that of five individual isoflavone, was significantly correlated across the four environments. Based on the high-density genetic linkage map, a total of 15 stable quantitative trait loci (QTLs) associated with isoflavone content across multiple environments were mapped onto chromosomes 02, 05, 07, 09, 10, 11, 13, 16, 17, and 19. Further, one of them, qIF5-1, localized to chromosomes 05 (38,434,171-39,045,620 bp) contributed to almost all isoflavone components across all environments, and explained 6.37-59.95% of the phenotypic variance, especially explained 49.38, 43.27, 46.59, 45.15 and 52.50% for total isoflavone. The results obtained in the present study will pave the way for a better understanding of the genetics of isoflavone accumulation and reveals the scope available for improvement of isoflavone content through marker-assisted selection.
Collapse
Affiliation(s)
- Zhandong Cai
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- Shofine Seed Technology Co., Ltd., Jiaxiang, 272400, Shandong, People's Republic of China
| | - Yanbo Cheng
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- Shofine Seed Technology Co., Ltd., Jiaxiang, 272400, Shandong, People's Republic of China
| | - Zhuwen Ma
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, Guangdong, People's Republic of China
| | - Xinguo Liu
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
| | - Qibin Ma
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China
- Shofine Seed Technology Co., Ltd., Jiaxiang, 272400, Shandong, People's Republic of China
| | - Qiuju Xia
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518086, People's Republic of China
| | - Gengyun Zhang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518086, People's Republic of China
| | - Yinghui Mu
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
- Shofine Seed Technology Co., Ltd., Jiaxiang, 272400, Shandong, People's Republic of China.
| | - Hai Nian
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
- Shofine Seed Technology Co., Ltd., Jiaxiang, 272400, Shandong, People's Republic of China.
| |
Collapse
|
10
|
Yu K, Wang X, Chen F, Peng Q, Chen S, Li H, Zhang W, Fu S, Hu M, Long W, Chu P, Guan R, Zhang J. Quantitative Trait Transcripts Mapping Coupled with Expression Quantitative Trait Loci Mapping Reveal the Molecular Network Regulating the Apetalous Characteristic in Brassica napus L. FRONTIERS IN PLANT SCIENCE 2018; 9:89. [PMID: 29472937 PMCID: PMC5810251 DOI: 10.3389/fpls.2018.00089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 01/16/2018] [Indexed: 05/18/2023]
Abstract
The apetalous trait of rapeseed (Brassica napus, AACC, 2n = 38) is important for breeding an ideal high-yield rapeseed with superior klendusity to Sclerotinia sclerotiorum. Currently, the molecular mechanism underlying the apetalous trait of rapeseed is unclear. In this study, 14 petal regulators genes were chosen as target genes (TGs), and the expression patterns of the 14 TGs in the AH population, containing 189 recombinant inbred lines derived from a cross between apetalous "APL01" and normal "Holly," were analyzed in two environments using qRT-PCR. Phenotypic data of petalous degree (PDgr) in the AH population were obtained from the two environments. Both quantitative trait transcript (QTT)-association mapping and expression QTL (eQTL) analyses of TGs expression levels were performed to reveal regulatory relationships among TGs and PDgr. QTT mapping for PDgr determined that PLURIPETALA (PLP) was the major negative QTT associated with PDgr in both environments, suggesting that PLP negatively regulates the petal development of line "APL01." The QTT mapping of PLP expression levels showed that CHROMATIN-REMODELING PROTEIN 11 (CHR11) was positively associated with PLP expression, indicating that CHR11 acts as a positive regulator of PLP expression. Similarly, QTT mapping for the remaining TGs identified 38 QTTs, associated with 13 TGs, and 31 QTTs, associated with 10 TGs, respectively, in the first and second environments. Additionally, eQTL analyses of TG expression levels showed that 12 and 11 unconditional eQTLs were detected in the first and second environment, respectively. Based on the QTTs and unconditional eQTLs detected, we presented a hypothetical molecular regulatory network in which 14 petal regulators potentially regulated the apetalous trait in "APL01" through the CHR11-PLP pathway. PLP acts directly as the terminal signal integrator negatively regulating petal development in the CHR11-PLP pathway. These findings will aid in the understanding the molecular mechanism underlying the apetalous trait of rapeseed.
Collapse
Affiliation(s)
- Kunjiang Yu
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
- College of Agriculture, Guizhou University, Guiyang, China
| | - Xiaodong Wang
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Feng Chen
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Qi Peng
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Song Chen
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Hongge Li
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Wei Zhang
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Sanxiong Fu
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Maolong Hu
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Weihua Long
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Pu Chu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Rongzhan Guan
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
- *Correspondence: Rongzhan Guan
| | - Jiefu Zhang
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- Jiefu Zhang
| |
Collapse
|
11
|
Kumar J, Gupta DS, Gupta S, Dubey S, Gupta P, Kumar S. Quantitative trait loci from identification to exploitation for crop improvement. PLANT CELL REPORTS 2017; 36:1187-1213. [PMID: 28352970 DOI: 10.1007/s00299-017-2127-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 03/09/2017] [Indexed: 05/24/2023]
Abstract
Advancement in the field of genetics and genomics after the discovery of Mendel's laws of inheritance has led to map the genes controlling qualitative and quantitative traits in crop plant species. Mapping of genomic regions controlling the variation of quantitatively inherited traits has become routine after the advent of different types of molecular markers. Recently, the next generation sequencing methods have accelerated the research on QTL analysis. These efforts have led to the identification of more closely linked molecular markers with gene/QTLs and also identified markers even within gene/QTL controlling the trait of interest. Efforts have also been made towards cloning gene/QTLs or identification of potential candidate genes responsible for a trait. Further new concepts like crop QTLome and QTL prioritization have accelerated precise application of QTLs for genetic improvement of complex traits. In the past years, efforts have also been made in exploitation of a number of QTL for improving grain yield or other agronomic traits in various crops through markers assisted selection leading to cultivation of these improved varieties at farmers' field. In present article, we reviewed QTLs from their identification to exploitation in plant breeding programs and also reviewed that how improved cultivars developed through introgression of QTLs have improved the yield productivity in many crops.
Collapse
Affiliation(s)
- Jitendra Kumar
- Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India.
| | - Debjyoti Sen Gupta
- Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India
| | - Sunanda Gupta
- Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India
| | - Sonali Dubey
- Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India
| | - Priyanka Gupta
- Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur, India
| | - Shiv Kumar
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat-Institutes, B.P. 6299, Rabat, Morocco
| |
Collapse
|
12
|
Kuroha T, Nagai K, Kurokawa Y, Nagamura Y, Kusano M, Yasui H, Ashikari M, Fukushima A. eQTLs Regulating Transcript Variations Associated with Rapid Internode Elongation in Deepwater Rice. FRONTIERS IN PLANT SCIENCE 2017; 8:1753. [PMID: 29081784 PMCID: PMC5645499 DOI: 10.3389/fpls.2017.01753] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 09/25/2017] [Indexed: 05/09/2023]
Abstract
To avoid low oxygen, oxygen deficiency or oxygen deprivation, deepwater rice cultivated in flood planes can develop elongated internodes in response to submergence. Knowledge of the gene regulatory networks underlying rapid internode elongation is important for an understanding of the evolution and adaptation of major crops in response to flooding. To elucidate the genetic and molecular basis controlling their deepwater response we used microarrays and performed expression quantitative trait loci (eQTL) and phenotypic QTL (phQTL) analyses of internode samples of 85 recombinant inbred line (RIL) populations of non-deepwater (Taichung 65)- and deepwater rice (Bhadua). After evaluating the phenotypic response of the RILs exposed to submergence, confirming the genotypes of the populations, and generating 188 genetic markers, we identified 10,047 significant eQTLs comprised of 2,902 cis-eQTLs and 7,145 trans-eQTLs and three significant eQTL hotspots on chromosomes 1, 4, and 12 that affect the expression of many genes. The hotspots on chromosomes 1 and 4 located at different position from phQTLs detected in this study and other previous studies. We then regarded the eQTL hotspots as key regulatory points to infer causal regulatory networks of deepwater response including rapid internode elongation. Our results suggest that the downstream regulation of the eQTL hotspots on chromosomes 1 and 4 is independent, and that the target genes are partially regulated by SNORKEL1 and SNORKEL2 genes (SK1/2), key ethylene response factors. Subsequent bioinformatic analyses, including gene ontology-based annotation and functional enrichment analysis and promoter enrichment analysis, contribute to enhance our understanding of SK1/2-dependent and independent pathways. One remarkable observation is that the functional categories related to photosynthesis and light signaling are significantly over-represented in the candidate target genes of SK1/2. The combined results of these investigations together with genetical genomics approaches using structured populations with a deepwater response are also discussed in the context of current molecular models concerning the rapid internode elongation in deepwater rice. This study provides new insights into the underlying genetic architecture of gene expression regulating the response to flooding in deepwater rice and will be an important community resource for analyses on the genetic basis of deepwater responses.
Collapse
Affiliation(s)
- Takeshi Kuroha
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Japan
- Department of Developmental Biology and Neurosciences, Graduate School of Life Sciences, Tohoku University, Sendai, Japan
- *Correspondence: Takeshi Kuroha, Atsushi Fukushima,
| | - Keisuke Nagai
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Japan
| | - Yusuke Kurokawa
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Japan
| | - Yoshiaki Nagamura
- Genome Resource Unit, National Institute of Agrobiological Sciences, Tsukuba, Japan
| | - Miyako Kusano
- RIKEN Center for Sustainable Resource Science, Yokohama, Japan
- Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan
| | - Hideshi Yasui
- Faculty of Agriculture, Kyushu University, Fukuoka, Japan
| | - Motoyuki Ashikari
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Japan
| | - Atsushi Fukushima
- RIKEN Center for Sustainable Resource Science, Yokohama, Japan
- *Correspondence: Takeshi Kuroha, Atsushi Fukushima,
| |
Collapse
|
13
|
Kumawat G, Gupta S, Ratnaparkhe MB, Maranna S, Satpute GK. QTLomics in Soybean: A Way Forward for Translational Genomics and Breeding. FRONTIERS IN PLANT SCIENCE 2016; 7:1852. [PMID: 28066449 PMCID: PMC5174554 DOI: 10.3389/fpls.2016.01852] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 11/23/2016] [Indexed: 05/19/2023]
Abstract
Food legumes play an important role in attaining both food and nutritional security along with sustainable agricultural production for the well-being of humans globally. The various traits of economic importance in legume crops are complex and quantitative in nature, which are governed by quantitative trait loci (QTLs). Mapping of quantitative traits is a tedious and costly process, however, a large number of QTLs has been mapped in soybean for various traits albeit their utilization in breeding programmes is poorly reported. For their effective use in breeding programme it is imperative to narrow down the confidence interval of QTLs, to identify the underlying genes, and most importantly allelic characterization of these genes for identifying superior variants. In the field of functional genomics, especially in the identification and characterization of gene responsible for quantitative traits, soybean is far ahead from other legume crops. The availability of genic information about quantitative traits is more significant because it is easy and effective to identify homologs than identifying shared syntenic regions in other crop species. In soybean, genes underlying QTLs have been identified and functionally characterized for phosphorous efficiency, flowering and maturity, pod dehiscence, hard-seededness, α-Tocopherol content, soybean cyst nematode, sudden death syndrome, and salt tolerance. Candidate genes have also been identified for many other quantitative traits for which functional validation is required. Using the sequence information of identified genes from soybean, comparative genomic analysis of homologs in other legume crops could discover novel structural variants and useful alleles for functional marker development. The functional markers may be very useful for molecular breeding in soybean and harnessing benefit of translational research from soybean to other leguminous crops. Thus, soybean crop can act as a model crop for translational genomics and breeding of quantitative traits in legume crops. In this review, we summarize current status of identification and characterization of genes underlying QTLs for various quantitative traits in soybean and their significance in translational genomics and breeding of other legume crops.
Collapse
Affiliation(s)
- Giriraj Kumawat
- Crop Improvement Section, ICAR—Indian Institute of Soybean ResearchIndore, India
| | | | | | | | | |
Collapse
|
14
|
Meng S, He J, Zhao T, Xing G, Li Y, Yang S, Lu J, Wang Y, Gai J. Detecting the QTL-allele system of seed isoflavone content in Chinese soybean landrace population for optimal cross design and gene system exploration. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2016; 129:1557-76. [PMID: 27189002 DOI: 10.1007/s00122-016-2724-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 04/28/2016] [Indexed: 05/20/2023]
Abstract
KEY MESSAGE Utilizing an innovative GWAS in CSLRP, 44 QTL 199 alleles with 72.2 % contribution to SIFC variation were detected and organized into a QTL-allele matrix for cross design and gene annotation. The seed isoflavone content (SIFC) of soybeans is of great importance to health care. The Chinese soybean landrace population (CSLRP) as a genetic reservoir was studied for its whole-genome quantitative trait loci (QTL) system of the SIFC using an innovative restricted two-stage multi-locus genome-wide association study procedure (RTM-GWAS). A sample of 366 landraces was tested under four environments and sequenced using RAD-seq (restriction-site-associated DNA sequencing) technique to obtain 116,769 single nucleotide polymorphisms (SNPs) then organized into 29,119 SNP linkage disequilibrium blocks (SNPLDBs) for GWAS. The detected 44 QTL 199 alleles on 16 chromosomes (explaining 72.2 % of the total phenotypic variation) with the allele effects (92 positive and 107 negative) of the CSLRP were organized into a QTL-allele matrix showing the SIFC population genetic structure. Additional differentiation among eco-regions due to the SIFC in addition to that of genome-wide markers was found. All accessions comprised both positive and negative alleles, implying a great potential for recombination within the population. The optimal crosses were predicted from the matrices, showing transgressive potentials in the CSLRP. From the detected QTL system, 55 candidate genes related to 11 biological processes were χ (2)-tested as an SIFC candidate gene system. The present study explored the genome-wide SIFC QTL/gene system with the innovative RTM-GWAS and found the potentials of the QTL-allele matrix in optimal cross design and population genetic and genomic studies, which may have provided a solution to match the breeding by design strategy at both QTL and gene levels in breeding programs.
Collapse
Affiliation(s)
- Shan Meng
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
| | - Jianbo He
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
| | - Tuanjie Zhao
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Guangnan Xing
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yan Li
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Shouping Yang
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jiangjie Lu
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
| | - Yufeng Wang
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China
| | - Junyi Gai
- Soybean Research Institute, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
- National Center for Soybean Improvement, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China.
- Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture, Nanjing, 210095, Jiangsu, China.
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
| |
Collapse
|
15
|
Dwivedi SL, Upadhyaya HD, Chung IM, De Vita P, García-Lara S, Guajardo-Flores D, Gutiérrez-Uribe JA, Serna-Saldívar SO, Rajakumar G, Sahrawat KL, Kumar J, Ortiz R. Exploiting Phenylpropanoid Derivatives to Enhance the Nutraceutical Values of Cereals and Legumes. FRONTIERS IN PLANT SCIENCE 2016; 7:763. [PMID: 27375635 PMCID: PMC4891577 DOI: 10.3389/fpls.2016.00763] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 05/17/2016] [Indexed: 05/29/2023]
Abstract
Phenylpropanoids are a diverse chemical class with immense health benefits that are biosynthesized from the aromatic amino acid L-phenylalanine. This article reviews the progress for accessing variation in phenylpropanoids in germplasm collections, the genetic and molecular basis of phenylpropanoid biosynthesis, and the development of cultivars dense in seed-phenylpropanoids. Progress is also reviewed on high-throughput assays, factors that influence phenylpropanoids, the site of phenylpropanoids accumulation in seed, Genotype × Environment interactions, and on consumer attitudes for the acceptance of staple foods rich in phenylpropanoids. A paradigm shift was noted in barley, maize, rice, sorghum, soybean, and wheat, wherein cultivars rich in phenylpropanoids are grown in Europe and North and Central America. Studies have highlighted some biological constraints that need to be addressed for development of high-yielding cultivars that are rich in phenylpropanoids. Genomics-assisted breeding is expected to facilitate rapid introgression into improved genetic backgrounds by minimizing linkage drag. More research is needed to systematically characterize germplasm pools for assessing variation to support crop genetic enhancement, and assess consumer attitudes to foods rich in phenylpropanoids.
Collapse
Affiliation(s)
- Sangam L. Dwivedi
- International Crops Research Institute for the Semi-Arid TropicsPatancheru, India
| | - Hari D. Upadhyaya
- International Crops Research Institute for the Semi-Arid TropicsPatancheru, India
- Department of Agronomy, Kansas State UniversityManhattan, KS, USA
- UWA Institute of Agriculture, University of Western AustraliaCrawley, WA, Australia
| | - Ill-Min Chung
- Department of Applied Life Science, College of Life and Environmental Science, Konkuk UniversitySeoul, Korea
| | - Pasquale De Vita
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria, Centro di Ricerca per la CerealicolturaFoggia, Italy
| | - Silverio García-Lara
- Tecnológico de Monterrey, Centro de Biotecnología-FEMSA, Escuela de Ingeniería y CienciasMonterrey, Mexico
| | - Daniel Guajardo-Flores
- Tecnológico de Monterrey, Centro de Biotecnología-FEMSA, Escuela de Ingeniería y CienciasMonterrey, Mexico
| | - Janet A. Gutiérrez-Uribe
- Tecnológico de Monterrey, Centro de Biotecnología-FEMSA, Escuela de Ingeniería y CienciasMonterrey, Mexico
| | - Sergio O. Serna-Saldívar
- Tecnológico de Monterrey, Centro de Biotecnología-FEMSA, Escuela de Ingeniería y CienciasMonterrey, Mexico
| | - Govindasamy Rajakumar
- Department of Applied Life Science, College of Life and Environmental Science, Konkuk UniversitySeoul, Korea
| | - Kanwar L. Sahrawat
- International Crops Research Institute for the Semi-Arid TropicsPatancheru, India
| | | | - Rodomiro Ortiz
- Swedish University of Agricultural SciencesAlnarp, Sweden
| |
Collapse
|
16
|
Cheng Q, Li N, Dong L, Zhang D, Fan S, Jiang L, Wang X, Xu P, Zhang S. Overexpression of Soybean Isoflavone Reductase (GmIFR) Enhances Resistance to Phytophthora sojae in Soybean. FRONTIERS IN PLANT SCIENCE 2015; 6:1024. [PMID: 26635848 PMCID: PMC4655237 DOI: 10.3389/fpls.2015.01024] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 11/05/2015] [Indexed: 05/18/2023]
Abstract
Isoflavone reductase (IFR) is an enzyme involved in the biosynthetic pathway of isoflavonoid phytoalexin in plants. IFRs are unique to the plant kingdom and are considered to have crucial roles in plant response to various biotic and abiotic environmental stresses. Here, we report the characterization of a novel member of the soybean isoflavone reductase gene family GmIFR. Overexpression of GmIFR transgenic soybean exhibited enhanced resistance to Phytophthora sojae. Following stress treatments, GmIFR was significantly induced by P. sojae, ethephon (ET), abscisic acid (placeCityABA), salicylic acid (SA). It is located in the cytoplasm when transiently expressed in soybean protoplasts. The daidzein levels reduced greatly for the seeds of transgenic plants, while the relative content of glyceollins in transgenic plants was significantly higher than that of non-transgenic plants. Furthermore, we found that the relative expression levels of reactive oxygen species (ROS) of transgenic soybean plants were significantly lower than those of non-transgenic plants after incubation with P. sojae, suggesting an important role of GmIFR might function as an antioxidant to reduce ROS in soybean. The enzyme activity assay suggested that GmIFR has isoflavone reductase activity.
Collapse
Affiliation(s)
- Qun Cheng
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| | - Ninghui Li
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
- Jiamusi Branch Academy of Heilongjiang Academy of Agricultural SciencesJiamusi, China
| | - Lidong Dong
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| | - Dayong Zhang
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| | - Sujie Fan
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| | - Liangyu Jiang
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| | - Xin Wang
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
- Heilongjiang Academy of Land Reclamation SciencesHarbin, China
| | - Pengfei Xu
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| | - Shuzhen Zhang
- Key Laboratory of Soybean Biology of Chinese Education Ministry, Soybean Research Institute, Northeast Agricultural UniversityHarbin, China
| |
Collapse
|
17
|
Wang Y, Han Y, Zhao X, Li Y, Teng W, Li D, Zhan Y, Li W. Mapping isoflavone QTL with main, epistatic and QTL × environment effects in recombinant inbred lines of soybean. PLoS One 2015; 10:e0118447. [PMID: 25738957 PMCID: PMC4349890 DOI: 10.1371/journal.pone.0118447] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 01/16/2015] [Indexed: 12/16/2022] Open
Abstract
Soybean (Glycine max (L.) Merr.) isoflavone is important for human health and plant defense system. To identify novel quantitative trait loci (QTL) and epistatic QTL underlying isoflavone content in soybean, F5:6, F5:7 and F5:8 populations of 130 recombinant inbred (RI) lines, derived from the cross of soybean cultivar 'Zhong Dou 27' (high isoflavone) and 'Jiu Nong 20' (low isoflavone), were analyzed with 95 new SSR markers. A new linkage map including 194 SSR markers and covering 2,312 cM with mean distance of about 12 cM between markers was constructed. Thirty four QTL for both individual and total seed isoflavone contents of soybean were identified. Six, seven, ten and eleven QTL were associated with daidzein (DZ), glycitein (GC), genistein (GT) and total isoflavone (TI), respectively. Of them 23 QTL were newly identified. The qTIF_1 between Satt423 and Satt569 shared the same marker Satt569 with qDZF_2, qGTF_1 and qTIF_2. The qGTD2_1 between Satt186 and Satt226 was detected in four environments and explained 3.41%-10.98% of the phenotypic variation. The qGTA2_1, overlapped with qGCA2_1 and detected in four environments, was close to the previously identified major QTL for GT, which were responsible for large a effects. QTL (qDZF_2, qGTF_1 and qTIF_2) between Satt144-Satt569 were either clustered or pleiotropic. The qGCM_1, qGTM_1 and qTIM_1 between Satt540-Sat_244 explained 2.02%-9.12% of the phenotypic variation over six environments. Moreover, the qGCE_1 overlapped with qGTE_1 and qTIE_1, the qTIH_2 overlapped with qGTH_1, qGCI_1 overlapped with qDZI_1, qTIL_1 overlapped with qGTL_1, and qTIO_1 overlapped with qGTO_1. In this study, some of unstable QTL were detected in different environments, which were due to weak expression of QTL, QTL by environment interaction in the opposite direction to a effects, and/or epistasis. The markers identified in multi-environments in this study could be applied in the selection of soybean cultivars for higher isoflavone content and in the map-based gene cloning.
Collapse
Affiliation(s)
- Yan Wang
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Yingpeng Han
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Xue Zhao
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Yongguang Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Weili Teng
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Dongmei Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Yong Zhan
- Agricultural Science Academy of Shi He Zi, Xinjiang Province, People’s Republic of China
| | - Wenbin Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China; Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| |
Collapse
|
18
|
Chaudhary J, Patil GB, Sonah H, Deshmukh RK, Vuong TD, Valliyodan B, Nguyen HT. Expanding Omics Resources for Improvement of Soybean Seed Composition Traits. FRONTIERS IN PLANT SCIENCE 2015; 6:1021. [PMID: 26635846 PMCID: PMC4657443 DOI: 10.3389/fpls.2015.01021] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 11/05/2015] [Indexed: 05/19/2023]
Abstract
Food resources of the modern world are strained due to the increasing population. There is an urgent need for innovative methods and approaches to augment food production. Legume seeds are major resources of human food and animal feed with their unique nutrient compositions including oil, protein, carbohydrates, and other beneficial nutrients. Recent advances in next-generation sequencing (NGS) together with "omics" technologies have considerably strengthened soybean research. The availability of well annotated soybean genome sequence along with hundreds of identified quantitative trait loci (QTL) associated with different seed traits can be used for gene discovery and molecular marker development for breeding applications. Despite the remarkable progress in these technologies, the analysis and mining of existing seed genomics data are still challenging due to the complexity of genetic inheritance, metabolic partitioning, and developmental regulations. Integration of "omics tools" is an effective strategy to discover key regulators of various seed traits. In this review, recent advances in "omics" approaches and their use in soybean seed trait investigations are presented along with the available databases and technological platforms and their applicability in the improvement of soybean. This article also highlights the use of modern breeding approaches, such as genome-wide association studies (GWAS), genomic selection (GS), and marker-assisted recurrent selection (MARS) for developing superior cultivars. A catalog of available important resources for major seed composition traits, such as seed oil, protein, carbohydrates, and yield traits are provided to improve the knowledge base and future utilization of this information in the soybean crop improvement programs.
Collapse
|