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Antwi-Boasiako A, Jia S, Liu J, Guo N, Chen C, Karikari B, Feng J, Zhao T. Identification and Genetic Dissection of Resistance to Red Crown Rot Disease in a Diverse Soybean Germplasm Population. PLANTS (BASEL, SWITZERLAND) 2024; 13:940. [PMID: 38611470 PMCID: PMC11013609 DOI: 10.3390/plants13070940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 03/18/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024]
Abstract
Red crown rot (RCR) disease caused by Calonectria ilicicola negatively impacts soybean yield and quality. Unfortunately, the knowledge of the genetic architecture of RCR resistance in soybeans is limited. In this study, 299 diverse soybean accessions were used to explore their genetic diversity and resistance to RCR, and to mine for candidate genes via emergence rate (ER), survival rate (SR), and disease severity (DS) by a multi-locus random-SNP-effect mixed linear model of GWAS. All accessions had brown necrotic lesions on the primary root, with five genotypes identified as resistant. Nine single-nucleotide polymorphism (SNP) markers were detected to underlie RCR response (ER, SR, and DS). Two SNPs colocalized with at least two traits to form a haplotype block which possessed nine genes. Based on their annotation and the qRT-PCR, three genes, namely Glyma.08G074600, Glyma.08G074700, and Glyma.12G043600, are suggested to modulate soybean resistance to RCR. The findings from this study could serve as the foundation for breeding RCR-tolerant soybean varieties, and the candidate genes could be validated to deepen our understanding of soybean response to RCR.
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Affiliation(s)
- Augustine Antwi-Boasiako
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory (ZSBBL), National Innovation Platform for Soybean Breeding and Industry-Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; (A.A.-B.); (S.J.); (J.L.); (N.G.)
- Council for Scientific and Industrial Research-Crops Research Institute (CSIR-CRI), Fumesua, Kumasi P.O. Box 3785, Ghana
| | - Shihao Jia
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory (ZSBBL), National Innovation Platform for Soybean Breeding and Industry-Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; (A.A.-B.); (S.J.); (J.L.); (N.G.)
| | - Jiale Liu
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory (ZSBBL), National Innovation Platform for Soybean Breeding and Industry-Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; (A.A.-B.); (S.J.); (J.L.); (N.G.)
| | - Na Guo
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory (ZSBBL), National Innovation Platform for Soybean Breeding and Industry-Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; (A.A.-B.); (S.J.); (J.L.); (N.G.)
| | - Changjun Chen
- College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China;
| | - Benjamin Karikari
- Department of Agricultural Biotechnology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale P.O. Box TL 1882, Ghana;
- Département de Phytologie, Université Laval, Québec, QC G1V 0A6, Canada
| | - Jianying Feng
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory (ZSBBL), National Innovation Platform for Soybean Breeding and Industry-Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; (A.A.-B.); (S.J.); (J.L.); (N.G.)
| | - Tuanjie Zhao
- Key Laboratory of Biology and Genetics Improvement of Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory (ZSBBL), National Innovation Platform for Soybean Breeding and Industry-Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China; (A.A.-B.); (S.J.); (J.L.); (N.G.)
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Lukanda MM, Dramadri IO, Adjei EA, Badji A, Arusei P, Gitonga HW, Wasswa P, Edema R, Ochwo-Ssemakula M, Tukamuhabwa P, Muthuri HM, Tusiime G. Genome-Wide Association Analysis for Resistance to Coniothyrium glycines Causing Red Leaf Blotch Disease in Soybean. Genes (Basel) 2023; 14:1271. [PMID: 37372451 DOI: 10.3390/genes14061271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
Soybean is a high oil and protein-rich legume with several production constraints. Globally, several fungi, viruses, nematodes, and bacteria cause significant yield losses in soybean. Coniothyrium glycines (CG), the causal pathogen for red leaf blotch disease, is the least researched and causes severe damage to soybean. The identification of resistant soybean genotypes and mapping of genomic regions associated with resistance to CG is critical for developing improved cultivars for sustainable soybean production. This study used single nucleotide polymorphism (SNP) markers generated from a Diversity Arrays Technology (DArT) platform to conduct a genome-wide association (GWAS) analysis of resistance to CG using 279 soybean genotypes grown in three environments. A total of 6395 SNPs was used to perform the GWAS applying a multilocus model Fixed and random model Circulating Probability Unification (FarmCPU) with correction of the population structure and a statistical test p-value threshold of 5%. A total of 19 significant marker-trait associations for resistance to CG were identified on chromosomes 1, 5, 6, 9, 10, 12, 13, 15, 16, 17, 19, and 20. Approximately 113 putative genes associated with significant markers for resistance to red leaf blotch disease were identified across soybean genome. Positional candidate genes associated with significant SNP loci-encoding proteins involved in plant defense responses and that could be associated with soybean defenses against CG infection were identified. The results of this study provide valuable insight for further dissection of the genetic architecture of resistance to CG in soybean. They also highlight SNP variants and genes useful for genomics-informed selection decisions in the breeding process for improving resistance traits in soybean.
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Affiliation(s)
- Musondolya Mathe Lukanda
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
- Faculté des Sciences Agronomiques, Université Catholique du Graben, Butembo P.O. Box 29, Democratic Republic of the Congo
| | - Isaac Onziga Dramadri
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
| | - Emmanuel Amponsah Adjei
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
- Council for Scientific and Industrial Research-Savanna Agricultural Research Institute, Tamale P.O. Box TL 52, Ghana
| | - Arfang Badji
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
| | - Perpetua Arusei
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
- Department of Biological Sciences, Moi University, Eldoret P.O. Box 3900-30100, Kenya
| | - Hellen Wairimu Gitonga
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
| | - Peter Wasswa
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
| | - Richard Edema
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
- Makerere Regional Center for Crop Improvement (MaRCCI), Makerere University, Kampala P.O. Box 7062, Uganda
| | - Mildred Ochwo-Ssemakula
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
| | - Phinehas Tukamuhabwa
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
| | - Harun Murithi Muthuri
- Agricultural Research Service Research Participation Program, Oak Ridge Institute for Science and Education, Oak Ridge, TN 37831, USA
- International Institute of Tropical Agriculture (IITA), ILRI, Nairobi P.O. Box 30709-00100, Kenya
| | - Geoffrey Tusiime
- Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala P.O. Box 7062, Uganda
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Fortney NW, Hanson NJ, Rosa PRF, Donohue TJ, Noguera DR. Diverse Profile of Fermentation Byproducts From Thin Stillage. Front Bioeng Biotechnol 2021; 9:695306. [PMID: 34336807 PMCID: PMC8320890 DOI: 10.3389/fbioe.2021.695306] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/02/2021] [Indexed: 12/25/2022] Open
Abstract
The economy of biorefineries is influenced not only by biofuel production from carbohydrates but also by the production of valuable compounds from largely underutilized industrial residues. Currently, the demand for many chemicals that could be made in a biorefinery, such as succinic acid (SA), medium-chain fatty acids (MCFAs), and lactic acid (LA), is fulfilled using petroleum, palm oil, or pure carbohydrates as raw materials, respectively. Thin stillage (TS), the residual liquid material following distillation of ethanol, is an underutilized coproduct from the starch biofuel industry. This carbon-rich material has the potential for chemical upgrading by microorganisms. Here, we explored the formation of different fermentation products by microbial communities grown on TS using different bioreactor conditions. At the baseline operational condition (6-day retention time, pH 5.5, 35°C), we observed a mixture of MCFAs as the principal fermentation products. Operation of a bioreactor with a 1-day retention time induced an increase in SA production, and a temperature increase to 55°C resulted in the accumulation of lactic and propionic acids. In addition, a reactor operated with a 1-day retention time at 55°C conditions resulted in LA accumulation as the main fermentation product. The prominent members of the microbial community in each reactor were assessed by 16S rRNA gene amplicon sequencing and phylogenetic analysis. Under all operating conditions, members of the Lactobacillaceae family within Firmicutes and the Acetobacteraceae family within Proteobacteria were ubiquitous. Members of the Prevotellaceae family within Bacteroidetes and Lachnospiraceae family within the Clostridiales order of Firmicutes were mostly abundant at 35°C and not abundant in the microbial communities of the TS reactors incubated at 55°C. The ability to adjust bioreactor operating conditions to select for microbial communities with different fermentation product profiles offers new strategies to explore and compare potentially valuable fermentation products from TS and allows industries the flexibility to adapt and switch chemical production based on market prices and demands.
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Affiliation(s)
- Nathaniel W Fortney
- Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Nathaniel J Hanson
- Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, United States.,Wisconsin Youth Apprenticeship Program, Department of Workforce Development, Madison, WI, United States
| | - Paula R F Rosa
- Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, United States.,Department of Chemical Engineering, Federal University of São Carlos, São Carlos, Brazil
| | - Timothy J Donohue
- Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, United States.,Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States
| | - Daniel R Noguera
- Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, United States.,Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, United States
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Development of vinegar obtained from lemon juice: Optimization and chemical characterization of the process. Lebensm Wiss Technol 2019. [DOI: 10.1016/j.lwt.2018.10.096] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Improving Fermentation of Steamed Stalk to Feed Using Candida utilis and Pachysolen tannophilus. ACTA UNIVERSITATIS CIBINIENSIS. SERIES E: FOOD TECHNOLOGY 2019. [DOI: 10.2478/aucft-2018-0012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
In order to improve the protein content of straw feed and reduce the amount of nutrients added, in this paper, the cell wall structure of corn stalk was destroyed by thermophilic digestion and the polysaccharide was degraded into monosaccharide by complex enzyme, and then transformed into bacterial protein by double strain Candida utilis 1807 and Pachysolen tannophilus 1771 fermentation. Single factor experiments and orthogonal test were made to obtain the best process for the feed of double-bacteria synchronous fermentation of stalks. The optimum amount of each nutrient and the inoculation amounts of double bacteria (accounts for the percentage of the original dry straw quality): ammonium sulfate 6.79%, urea 2.72%, yeast powder 1.63%, magnesium sulfate 0.27%, Candida utilis 54.31% and Pachysolen tannophilus 54.31%; The operational parameters of fermentation process were: fermentation temperature 29°C, rotate speed 100 r/min and fermentation time 55 hours. The yield of stalk feed and crude protein was 82.04%, 23.33%, respectively. The crude protein content of stalk feed was 28.44%, which was 4.33 times of original dry stalk. The results showed that the multi-strain distribution and degradation of protein production provide important significance for corn straw bio-utilization.
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