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Fenton S, Jacobs A, Bean CW, Adams CE, Elmer KR. Genomic underpinnings of head and body shape in Arctic charr ecomorph pairs. Mol Ecol 2024; 33:e17305. [PMID: 38421099 DOI: 10.1111/mec.17305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 01/31/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024]
Abstract
Across its Holarctic range, Arctic charr (Salvelinus alpinus) populations have diverged into distinct trophic specialists across independent replicate lakes. The major aspect of divergence between ecomorphs is in head shape and body shape, which are ecomorphological traits reflecting niche use. However, whether the genomic underpinnings of these parallel divergences are consistent across replicates was unknown but key for resolving the substrate of parallel evolution. We investigated the genomic basis of head shape and body shape morphology across four benthivore-planktivore ecomorph pairs of Arctic charr in Scotland. Through genome-wide association analyses, we found genomic regions associated with head shape (89 SNPs) or body shape (180 SNPs) separately and 50 of these SNPs were strongly associated with both body and head shape morphology. For each trait separately, only a small number of SNPs were shared across all ecomorph pairs (3 SNPs for head shape and 10 SNPs for body shape). Signs of selection on the associated genomic regions varied across pairs, consistent with evolutionary demography differing considerably across lakes. Using a comprehensive database of salmonid QTLs newly augmented and mapped to a charr genome, we found several of the head- and body-shape-associated SNPs were within or near morphology QTLs from other salmonid species, reflecting a shared genetic basis for these phenotypes across species. Overall, our results demonstrate how parallel ecotype divergences can have both population-specific and deeply shared genomic underpinnings across replicates, influenced by differences in their environments and demographic histories.
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Affiliation(s)
- Sam Fenton
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Arne Jacobs
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Colin W Bean
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
- NatureScot, Clydebank, UK
| | - Colin E Adams
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
- Scottish Centre for Ecology and the Natural Environment, University of Glasgow, Glasgow, UK
| | - Kathryn R Elmer
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
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2
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Jiang W, Liu Y, Zhang C, Pan L, Wang W, Zhao C, Zhao T, Li Y. Identification of major QTLs for drought tolerance in soybean, together with a novel candidate gene, GmUAA6. J Exp Bot 2024; 75:1852-1871. [PMID: 38226463 DOI: 10.1093/jxb/erad483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
Drought tolerance is a complex trait in soybean that is controlled by polygenetic quantitative trait loci (QTLs). In this study, wilting score, days-to-wilting, leaf relative water content, and leaf relative conductivity were used to identify QTLs associated with drought tolerance in recombinant inbred lines derived from a cross between a drought-sensitive variety, Lin, and a drought-tolerant variety, Meng. A total of 33 drought-tolerance QTLs were detected. Of these 17 were major QTLs. In addition, 15 were novel drought-tolerance QTLs. The most predominant QTL was on chromosome 11. This was detected in at least three environments. The overlapped mapping interval of the four measured traits was 0.2 cM in genetic distance (about 220 kb in physical length). Glyma.11g143500 (designated as GmUAA6), which encodes a UDP-N-acetylglucosamine transporter, was identified as the most likely candidate gene. The allele of GmUAA6 from Lin (GmUAA6Lin) was associated with improved soybean drought tolerance. Overexpression of GmUAA6Lin in Arabidopsis and soybean hairy roots enhanced drought tolerance. Furthermore, a 3-bp insertion/deletion (InDel) in the coding sequence of GmUAA6 explained up to 49.9% of the phenotypic variation in drought tolerance-related traits, suggesting that this InDel might be used in future marker-assisted selection of drought-tolerant lines in soybean breeding programs.
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Affiliation(s)
- Wei Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| | - Yandang Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| | - Chi Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Lang Pan
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Wei Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Chunzhao Zhao
- Shanghai Center for Plant Stress Biology and Center of Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Tuanjie Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
| | - Yan Li
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybeans (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210014, China
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Grierson ERP, Thrimawithana AH, van Klink JW, Lewis DH, Carvajal I, Shiller J, Miller P, Deroles SC, Clearwater MJ, Davies KM, Chagné D, Schwinn KE. A phosphatase gene is linked to nectar dihydroxyacetone accumulation in mānuka (Leptospermum scoparium). New Phytol 2024. [PMID: 38532557 DOI: 10.1111/nph.19714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/06/2024] [Indexed: 03/28/2024]
Abstract
Floral nectar composition beyond common sugars shows great diversity but contributing genetic factors are generally unknown. Mānuka (Leptospermum scoparium) is renowned for the antimicrobial compound methylglyoxal in its derived honey, which originates from the precursor, dihydroxyacetone (DHA), accumulating in the nectar. Although this nectar trait is highly variable, genetic contribution to the trait is unclear. Therefore, we investigated key gene(s) and genomic regions underpinning this trait. We used RNAseq analysis to identify nectary-associated genes differentially expressed between high and low nectar DHA genotypes. We also used a mānuka high-density linkage map and quantitative trait loci (QTL) mapping population, supported by an improved genome assembly, to reveal genetic regions associated with nectar DHA content. Expression and QTL analyses both pointed to the involvement of a phosphatase gene, LsSgpp2. The expression pattern of LsSgpp2 correlated with nectar DHA accumulation, and it co-located with a QTL on chromosome 4. The identification of three QTLs, some of the first reported for a plant nectar trait, indicates polygenic control of DHA content. We have established plant genetics as a key influence on DHA accumulation. The data suggest the hypothesis of LsSGPP2 releasing DHA from DHA-phosphate and variability in LsSgpp2 gene expression contributing to the trait variability.
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Affiliation(s)
- Ella R P Grierson
- The New Zealand Institute for Plant and Food Research Limited (PFR), Palmerston North, 4472, New Zealand
- Te Aka Mātuatua - School of Science, University of Waikato, Hamilton, 3216, New Zealand
| | | | - John W van Klink
- PFR, Chemistry Department, University of Otago, Dunedin, 9016, New Zealand
| | - David H Lewis
- The New Zealand Institute for Plant and Food Research Limited (PFR), Palmerston North, 4472, New Zealand
| | | | - Jason Shiller
- PFR, Te Puke Research Centre, Te Puke, 3182, New Zealand
| | - Poppy Miller
- PFR, Te Puke Research Centre, Te Puke, 3182, New Zealand
| | | | - Michael J Clearwater
- Te Aka Mātuatua - School of Science, University of Waikato, Hamilton, 3216, New Zealand
| | - Kevin M Davies
- The New Zealand Institute for Plant and Food Research Limited (PFR), Palmerston North, 4472, New Zealand
| | - David Chagné
- The New Zealand Institute for Plant and Food Research Limited (PFR), Palmerston North, 4472, New Zealand
| | - Kathy E Schwinn
- The New Zealand Institute for Plant and Food Research Limited (PFR), Palmerston North, 4472, New Zealand
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García-Romeral J, Castanera R, Casacuberta J, Domingo C. Deciphering the Genetic Basis of Allelopathy in japonica Rice Cultivated in Temperate Regions Using a Genome-Wide Association Study. Rice (N Y) 2024; 17:22. [PMID: 38530496 DOI: 10.1186/s12284-024-00701-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024]
Abstract
Allelopathy has been considered as a natural method of weed control. Despite the nature of allelochemical compounds has been studied, little is known about the genetic basis underlying allelopathy. However, it is known that rice exhibits diverse allelopathic potentials across varieties, and breeding for rice plants exhibiting allelopathic potential conferring an advantage against weeds in paddy fields would be highly desirable. Knowledge of the gene factors and the identification of the genomic regions responsible for allelopathy would facilitate breeding programs. Taking advantage of the existing genetic diversity in rice, particularly in temperate japonica rice, we conducted a comprehensive investigation into the genetic determinants that contribute to rice allelopathy. Employing Genome-Wide Association Study, we identified four Quantitative Trait Loci, with the most promising loci situated on chromosome 2 and 5. Subsequent inspection of the genes located within these QTLs revealed genes associated with the biosynthesis of secondary metabolites such as Phenylalanine Ammonia Lyase (PAL), a key enzyme in the synthesis of phenolic compounds, and two genes coding for R2R3-type MYB transcription factors. The identification of these two QTLs associated to allelopathy in rice provides a useful tool for further exploration and targeted breeding strategies.
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Affiliation(s)
- Julia García-Romeral
- Departamento del Arroz, Centro de Genómica, Instituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315. km 10.7, 46113, Moncada, Valencia, Spain
| | - Raúl Castanera
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus Universitat Autònoma de Barcelona (UAB), Bellaterra (Cerdanyola del Vallés), C/de la Vall Moronta, CRAG Building, 08193, Barcelona, Spain
| | - Josep Casacuberta
- Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus Universitat Autònoma de Barcelona (UAB), Bellaterra (Cerdanyola del Vallés), C/de la Vall Moronta, CRAG Building, 08193, Barcelona, Spain
| | - Concha Domingo
- Departamento del Arroz, Centro de Genómica, Instituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315. km 10.7, 46113, Moncada, Valencia, Spain.
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Williams-Simon PA, Oster C, Moaton JA, Ghidey R, Ng'oma E, Middleton KM, King EG. Naturally segregating genetic variants contribute to thermal tolerance in a Drosophila melanogaster model system. Genetics 2024:iyae040. [PMID: 38506092 DOI: 10.1093/genetics/iyae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 07/11/2023] [Accepted: 02/26/2024] [Indexed: 03/21/2024] Open
Abstract
Thermal tolerance is a fundamental physiological complex trait for survival in many species. For example, everyday tasks such as foraging, finding a mate, and avoiding predation, are highly dependent on how well an organism can tolerate extreme temperatures. Understanding the general architecture of the natural variants within the genes that control this trait is of high importance if we want to better comprehend thermal physiology. Here, we take a multipronged approach to further dissect the genetic architecture that controls thermal tolerance in natural populations using the Drosophila Synthetic Population Resource (DSPR) as a model system. First, we used quantitative genetics and Quantitative Trait Loci (QTL) mapping to identify major effect regions within the genome that influences thermal tolerance, then integrated RNA-sequencing to identify differences in gene expression, and lastly, we used the RNAi system to 1) alter tissue-specific gene expression and 2) functionally validate our findings. This powerful integration of approaches not only allows for the identification of the genetic basis of thermal tolerance but also the physiology of thermal tolerance in a natural population, which ultimately elucidates thermal tolerance through a fitness-associated lens.
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Affiliation(s)
- Patricka A Williams-Simon
- Postdoctoral Research Associate, University of Pennsylvania, 433 S University Ave., 226 Leidy Laboratories, Philadelphia, PA 19104, USA
| | - Camille Oster
- Habitat Restoration Specialist, Ash Creek Forest Management, 2796 SE 73rd Ave., Hillsboro, OR 97123, USA
| | - Jordyn A Moaton
- Research Assistant, University of Missouri, 2035 W Wellington Ave., Chicago, IL 60618, USA
| | - Ronel Ghidey
- Biostatistician, ECHO Data Analysis Center, Johns Hopkins Bloomberg School of Public Health, 504 Cathedral St., Baltimore, MD 2120, USA
| | - Enoch Ng'oma
- Assistant Professor of Biological Sciences, University of Missouri, Division of Biology, 226 Tucker Hall, Columbia, MO 65211, USA
| | - Kevin M Middleton
- Associate Professor of Biological Sciences, University of Missouri, 222 Tucker Hall, Columbia, MO 65211, USA
| | - Elizabeth G King
- Associate Professor of Biological Sciences, University of Missouri, 401 Tucker Hall, Columbia, MO 65211, USA
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Renaudineau Y, Charras A, Natoli V, Fusaro M, Smith EMD, Beresford MW, Hedrich CM. Type I interferon associated epistasis may contribute to early disease-onset and high disease activity in juvenile-onset lupus. Clin Immunol 2024:110194. [PMID: 38508295 DOI: 10.1016/j.clim.2024.110194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/01/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024]
Abstract
Pathologic type I interferon (T1IFN) expression is a key feature in systemic lupus erythematosus (SLE) that associates with disease activity. When compared to adult-onset disease, juvenile-onset (j)SLE is characterized by increased disease activity and damage, which likely relates to increased genetic burden. To identify T1IFN-associated gene polymorphisms (TLR7, IRAK1, miR-3142/miR-146a, IRF5, IRF7, IFIH1, IRF8, TYK2, STAT4), identify long-range linkage disequilibrium and gene:gene interrelations, 319 jSLE patients were genotyped using panel sequencing. Coupling phenotypic quantitative trait loci (QTL) analysis identified 10 jSLE QTL that associated with young age at onset (<12 years; IRAK1 [rs1059702], TLR7 [rs3853839], IFIH1 [rs11891191, rs1990760, rs3747517], STAT4 [rs3021866], TYK2 [rs280501], IRF8 [rs1568391, rs6638]), global disease activity (SLEDAI-2 K >10; IFIH1 [rs1990760], STAT4 [rs3021866], IRF8 [rs903202, rs1568391, rs6638]), and mucocutaneous involvement (TLR7 [rs3853839], IFIH1 [rs11891191, rs1990760]). This study suggests T1IFN-associated polymorphisms and gene:gene interrelations in jSLE. Genotyping of jSLE patients may allow for individualized treatment and care.
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Affiliation(s)
- Yves Renaudineau
- Immunology Department Laboratory, Referral Medical Biology Laboratory, Institut Fédératif de Biologie, Toulouse University Hospital Center, France; INFINITy, Toulouse Institute for Infectious and Inflammatory Diseases, INSERM U1291, CNRS U5051, University Toulouse III, Toulouse, France
| | - Amandine Charras
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, UK
| | - Valentina Natoli
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, UK; Università degli Studi di Genova, Dipartimento di Neuroscienze, riabilitazione, oftalmologia, genetica e scienze materno-infantili, DINOGMI, Genoa, Italy
| | - Mathieu Fusaro
- Immunology Department Laboratory, Referral Medical Biology Laboratory, Institut Fédératif de Biologie, Toulouse University Hospital Center, France; INFINITy, Toulouse Institute for Infectious and Inflammatory Diseases, INSERM U1291, CNRS U5051, University Toulouse III, Toulouse, France
| | - Eve M D Smith
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, UK; Department of Rheumatology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Michael W Beresford
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, UK; Department of Rheumatology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Christian M Hedrich
- Department of Women's & Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, UK; Department of Rheumatology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK.
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Patel R, Menon J, Kumar S, Nóbrega MB, Patel DA, Sakure AA, Vaja MB. Modern day breeding approaches for improvement of castor. Heliyon 2024; 10:e27048. [PMID: 38463846 PMCID: PMC10920369 DOI: 10.1016/j.heliyon.2024.e27048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 03/12/2024] Open
Abstract
Castor (Ricinus communis L.) is an industrially important oil producing crop belongs to Euphorbiaceae family. Castor oil has unique chemical properties make it industrially important crop. It is a member of monotypic genus even though it has ample amount of variability. Using this variability, conventionally many varieties and hybrids have been developed. But, like other crops, the modern and unconventional methods of crop improvement has not fully explored in castor. This article discusses the use of polyploidy induction, distant/wide hybridization and mutation breeding as tools for generating variety. Modern approaches accelerate the speed of crop breeding as an alternative tool. To achieve this goal, molecular markers are employed in breeding to capture the genetic variability through molecular analysis and population structuring. Allele mining is used to trace the evolution of alleles, identify new haplotypes and produce allele specific markers for use in marker aided selection using Genome wide association studies (GWAS) and quantitative trait loci (QTL) mapping. Plant genetic transformation is a rapid and effective mode of castor improvement is also discussed here. The efforts towards developing stable regeneration protocol provide a wide range of utility like embryo rescue in distant crosses, development of somaclonal variation, haploid development using anther culture and callus development for stable genetic transformation has reviewed in this article. Omics has provided intuitions to the molecular mechanisms of (a)biotic stress management in castor along with dissected out the possible genes for improving the yield. Relating genes to traits offers additional scientific inevitability leading to enhancement and sympathetic mechanisms of yield improvement and several stress tolerance.
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Affiliation(s)
- Rumit Patel
- Department of Agricultural Biotechnology, Anand Agricultural University, Anand, 388110, India
- Department of Genetics & Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand, 388110, India
| | - Juned Menon
- Department of Genetics & Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand, 388110, India
| | - Sushil Kumar
- Department of Agricultural Biotechnology, Anand Agricultural University, Anand, 388110, India
| | - Márcia B.M. Nóbrega
- Embrapa Algodão, Rua Oswaldo Cruz, nº 1.143, Centenário, CEP 58428-095, Campina Grande, PB, Brazil
| | - Dipak A. Patel
- Department of Agricultural Biotechnology, Anand Agricultural University, Anand, 388110, India
| | - Amar A. Sakure
- Department of Agricultural Biotechnology, Anand Agricultural University, Anand, 388110, India
| | - Mahesh B. Vaja
- Department of Agricultural Biotechnology, Anand Agricultural University, Anand, 388110, India
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Yan Y, Zhu X, Qi H, Zhang H, He J. Regulatory mechanism and molecular genetic dissection of rice ( Oryza sativa L.) grain size. Heliyon 2024; 10:e27139. [PMID: 38486732 PMCID: PMC10938125 DOI: 10.1016/j.heliyon.2024.e27139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/18/2024] [Accepted: 02/25/2024] [Indexed: 03/17/2024] Open
Abstract
With the sharp increase of the global population, adequate food supply is a great challenge. Grain size is an essential determinant of rice yield and quality. It is a typical quantitative trait controlled by multiple genes. In this paper, we summarized the quantitative trait loci (QTL) that have been molecularly characterized and provided a comprehensive summary of the regulation mechanism and genetic pathways of rice grain size. These pathways include the ubiquitin-proteasome system, G-protein, mitogen-activated protein kinase, phytohormone, transcriptional factors, abiotic stress. In addition, we discuss the possible application of advanced molecular biology methods and reasonable breeding strategies, and prospective on the development of high-yielding and high-quality rice varieties using molecular biology techniques.
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Affiliation(s)
- Yuntao Yan
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
| | - Xiaoya Zhu
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
| | - Hui Qi
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
- Hunan Institute of Nuclear Agricultural Science and Space Breeding, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Haiqing Zhang
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
| | - Jiwai He
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
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Gali KK, Jha A, Tar'an B, Burstin J, Aubert G, Bing D, Arganosa G, Warkentin TD. Identification of QTLs associated with seed protein concentration in two diverse recombinant inbred line populations of pea. Front Plant Sci 2024; 15:1359117. [PMID: 38533398 PMCID: PMC10964486 DOI: 10.3389/fpls.2024.1359117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/19/2024] [Indexed: 03/28/2024]
Abstract
Improving the seed protein concentration (SPC) of pea (Pisum sativum L.) has turned into an important breeding objective because of the consumer demand for plant-based protein and demand from protein fractionation industries. To support the marker-assisted selection (MAS) of SPC towards accelerated breeding of improved cultivars, we have explored two diverse recombinant inbred line (RIL) populations to identify the quantitative trait loci (QTLs) associated with SPC. The two RIL populations, MP 1918 × P0540-91 (PR-30) and Ballet × Cameor (PR-31), were derived from crosses between moderate SPC × high SPC accessions. A total of 166 and 159 RILs of PR-30 and PR-31, respectively, were genotyped using an Axiom® 90K SNP array and 13.2K SNP arrays, respectively. The RILs were phenotyped in replicated trials in two and three locations of Saskatchewan, Canada in 2020 and 2021, respectively, for agronomic assessment and SPC. Using composite interval mapping, we identified three QTLs associated with SPC in PR-30 and five QTLs in PR-31, with the LOD value ranging from 3.0 to 11.0. A majority of these QTLs were unique to these populations compared to the previously known QTLs for SPC. The QTL SPC-Ps-5.1 overlapped with the earlier reported SPC associated QTL PC-QTL-3. Three QTLs, SPC-Ps-4.2, SPC-Ps-5.1, and SPC-Ps-7.2 with LOD scores of 7.2, 7.9, and 11.3, and which explained 14.5%, 11.6%, and 11.3% of the phenotypic variance, respectively, can be used for marker-assisted breeding to increase SPC in peas. Eight QTLs associated with the grain yield were identified with LOD scores ranging from 3.1 to 8.2. Two sets of QTLs, SPC-Ps-2.1 and GY-Ps-2.1, and SPC-Ps-5.1 and GY-Ps-5.3, shared the QTL/peak regions. Each set of QTLs contributed to either SPC or grain yield depending on which parent the QTL region is derived from, thus confirming that breeding for SPC should take into consideration the effects on grain yield.
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Affiliation(s)
- Krishna Kishore Gali
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Ambuj Jha
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
- School of Life Sciences, Central University of Gujarat, Gandhinagar, Gujarat, India
| | - Bunyamain Tar'an
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Judith Burstin
- Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
| | - Gregoire Aubert
- Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
| | - Dengjin Bing
- Agriculture and Agri-Food Canada, Lacombe, AB, Canada
| | - Gene Arganosa
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Thomas D Warkentin
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
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Satasiya P, Patel S, Patel R, Prakash O, Modha K, Parekh V, Joshi H, Patel V, Chaudhary A, Sharma D, Prajapati M. Meta-analysis of identified genomic regions and candidate genes underlying salinity tolerance in rice (Oryza sativa L.). Sci Rep 2024; 14:5730. [PMID: 38459066 PMCID: PMC10923909 DOI: 10.1038/s41598-024-54764-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 02/16/2024] [Indexed: 03/10/2024] Open
Abstract
Rice output has grown globally, yet abiotic factors are still a key cause for worry. Salinity stress seems to have the more impact on crop production out of all abiotic stresses. Currently one of the most significant challenges in paddy breeding for salinity tolerance with the help of QTLs, is to determine the QTLs having the best chance of improving salinity tolerance with the least amount of background noise from the tolerant parent. Minimizing the size of the QTL confidence interval (CI) is essential in order to primarily include the genes responsible for salinity stress tolerance. By considering that, a genome-wide meta-QTL analysis on 768 QTLs from 35 rice populations published from 2001 to 2022 was conducted to identify consensus regions and the candidate genes underlying those regions responsible for the salinity tolerance, as it reduces the confidence interval (CI) to many folds from the initial QTL studies. In the present investigation, a total of 65 MQTLs were extracted with an average CI reduced from 17.35 to 1.66 cM including the smallest of 0.01 cM. Identification of the MQTLs for individual traits and then classifying the target traits into correlated morphological, physiological and biochemical aspects, resulted in more efficient interpretation of the salinity tolerance, identifying the candidate genes and to understand the salinity tolerance mechanism as a whole. The results of this study have a huge potential to improve the rice genotypes for salinity tolerance with the help of MAS and MABC.
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Affiliation(s)
- Pratik Satasiya
- Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat, India
| | - Sanyam Patel
- Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat, India
| | - Ritesh Patel
- Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat, India
| | - Om Prakash
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Kaushal Modha
- Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat, India
| | - Vipul Parekh
- Department of Biotechnology, College of Forestry, Navsari Agricultural University, Navsari, Gujarat, India
| | - Haimil Joshi
- Coastal Soil Salinity Research Station Danti-Umbharat, Navsari Agricultural University, Navsari, Gujarat, India
| | - Vipul Patel
- Regional Rice Research Station, Vyara, Navsari Agricultural University, Navsari, Gujarat, India
| | - Ankit Chaudhary
- Kishorbhai Institute of Agriculture Sciences and Research Centre, Uka Tarsadia University, Bardoli, Gujarat, India.
| | - Deepak Sharma
- Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat, India
| | - Maulik Prajapati
- Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat, India
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11
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Edae EA, Kosgey Z, Bajgain P, Ndung'u KC, Gemechu A, Bhavani S, Anderson JA, Rouse MN. The genetics of Ug99 stem rust resistance in spring wheat variety 'Linkert'. Front Plant Sci 2024; 15:1343148. [PMID: 38516672 PMCID: PMC10954791 DOI: 10.3389/fpls.2024.1343148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/12/2024] [Indexed: 03/23/2024]
Abstract
Wheat stem rust caused by Puccinia graminis f. sp. tritici (Pgt) threatens wheat production worldwide. The objective of this study was to characterize wheat stem rust resistance in 'Linkert', a variety with adult plant resistance effective to emerging wheat stem rust pathogen strain Ug99. Two doubled haploid (DH) populations and one recombinant inbred line (RIL) population were developed with 'Linkert' as a stem rust resistant parent. Hard red spring wheat variety 'Forefront' and genetic stock 'LMPG' were used as stem rust susceptible parents of the DH populations. Breeding line 'MN07098-6' was used as a susceptible parent of the RIL population. Both DH and RIL populations with their parents were evaluated both at the seedling stage and in the field against Pgt races. Genotyping data of the DH populations were generated using the wheat iSelect 90k SNP assay. The RIL population was genotyped by genotyping-by-sequencing. We found QTL consistently associated with wheat stem rust resistance on chromosome 2BS for the Linkert/Forefront DH population and the Linkert/MN07098-6 RIL population both in Ethiopia and Kenya. Additional reliable QTL were detected on chromosomes 5BL (125.91 cM) and 4AL (Sr7a) for the Linkert/LMPG population in Ethiopia and Kenya. Different QTL identified in the populations reflect the importance of examining the genetics of resistance in populations derived from adapted germplasm (Forefront and MN07098-6) in addition to a genetic stock (LMPG). The associated markers in this study could be used to track and select for the identified QTL in wheat breeding programs.
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Affiliation(s)
- Erena A. Edae
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, United States
| | - Zennah Kosgey
- Kenya Agricultural and Livestock Research Organization (KALRO), Food Crops Research Centre, Njoro, Kenya
| | - Prabin Bajgain
- Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN, United States
| | - Kimani C. Ndung'u
- Kenya Agricultural and Livestock Research Organization (KALRO), Food Crops Research Centre, Njoro, Kenya
| | - Ashenafi Gemechu
- Ethiopian Institute of Agriculture, Debre Zeit Agricultural Research Center, Bishoftu, Ethiopia
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - James A. Anderson
- Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN, United States
| | - Matthew N. Rouse
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, United States
- Cereal Disease Laboratory, United States Department of Agriculture-Agricultural Research Service, Saint Paul, MN, United States
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12
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Lee SY, Jeung JU, Mo Y. Allelic combinations of Hd1, Hd16, and Ghd7 exhibit pleiotropic effects on agronomic traits in rice. G3 (Bethesda) 2024; 14:jkad300. [PMID: 38168849 PMCID: PMC10917519 DOI: 10.1093/g3journal/jkad300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/24/2023] [Accepted: 12/27/2023] [Indexed: 01/05/2024]
Abstract
Heading date is a critical agronomic trait that significantly affects grain yield and quality in rice. As early heading is typically associated with reduced yield due to shorter growth duration, it is essential to harness optimum heading date genes and their allelic combinations to promote heading while minimizing yield penalties. In this study, we identified quantitative trait loci (QTLs) for heading date and other major agronomic traits in a recombinant inbred line (RIL) population derived from a cross between Koshihikari and Baegilmi. Analyses on 3 major QTLs for heading date and their underlying genes (Hd1, Hd16, and Ghd7) revealed their pleiotropic effects on culm length, panicle length, and head rice percentage. Additionally, Ghd7 exhibited pleiotropic effects on panicle number and grain size. Among 8 different types of allelic combinations of the 3 heading date genes, RILs carrying a single nonfunctional hd16 or ghd7 under the functional background of the other 2 genes (Hd1hd16Ghd7 and Hd1Hd16ghd7) showed potential for maintaining yield and quality-related traits while accelerating heading. These results provide valuable insights for fine-tuning heading dates in rice breeding programs.
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Affiliation(s)
- Seung Young Lee
- Department of Crop Science and Biotechnology, Jeonbuk National University, Jeonju 54896, Republic of Korea
- National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Ji-Ung Jeung
- National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Youngjun Mo
- Department of Crop Science and Biotechnology, Jeonbuk National University, Jeonju 54896, Republic of Korea
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13
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Joshi JR, Paudel D, Eddy E, Charkowski AO, Heuberger AL. Plant necrotrophic bacterial disease resistance phenotypes, QTL, and metabolites identified through integrated genetic mapping and metabolomics in Solanum species. Front Plant Sci 2024; 15:1336513. [PMID: 38504885 PMCID: PMC10949924 DOI: 10.3389/fpls.2024.1336513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/12/2024] [Indexed: 03/21/2024]
Abstract
Most food crops are susceptible to necrotrophic bacteria that cause rotting and wilting diseases in fleshy organs and foods. All varieties of cultivated potato (Solanum tuberosum L.) are susceptible to diseases caused by Pectobacterium species, but resistance has been demonstrated in wild potato relatives including S. chacoense. Previous studies demonstrated that resistance is in part mediated by antivirulence activity of phytochemicals in stems and tubers. Little is known about the genetic basis of antivirulence traits, and the potential for inheritance and introgression into cultivated potato is unclear. Here, the metabolites and genetic loci associated with antivirulence traits in S. chacoense were elucidated by screening a sequenced S. tuberosum x S. chacoense recombinant inbred line (RIL) population for antivirulence traits of its metabolite extracts. Metabolite extracts from the RILs exhibited a quantitative distribution for two antivirulence traits that were positively correlated: quorum sensing inhibition and exo-protease inhibition, with some evidence of transgressive segregation, supporting the role of multiple loci and metabolites regulating these resistance-associated systems. Metabolomics was performed on the highly resistant and susceptible RILs that revealed 30 metabolites associated with resistance, including several alkaloids and terpenes. Specifically, several prenylated metabolites were more abundant in resistant RILs. We constructed a high-density linkage map with 795 SNPs mapped to 12 linkage groups, spanning a length of 1,507 cM and a density of 1 marker per 1.89 cM. Genetic mapping of the antivirulence and metabolite data identified five quantitative trait loci (QTLs) related to quorum sensing inhibition that explained 8-28% of the phenotypic variation and two QTLs for protease activity inhibition that explained 14-19% of the phenotypic variation. Several candidate genes including alkaloid, and secondary metabolite biosynthesis that are related to disease resistance were identified within these QTLs. Taken together, these data support that quorum sensing inhibition and exo-protease inhibition assays may serve as breeding targets to improve resistance to nectrotrophic bacterial pathogens in potato and other plants. The identified candidate genes and metabolites can be utilized in marker assisted selection and genomic selection to improve soft- rot and blackleg disease resistance.
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Affiliation(s)
- Janak R. Joshi
- Department of Plant Sciences & Plant Pathology, Montana State University, Bozeman, MT, United States
- Department of Horticulture & Landscape Architecture, Colorado State University, Fort Collins, CO, United States
| | - Dev Paudel
- Department of Environmental Horticulture, University of Florida Gulf Coast Research and Education Center, Wimauma, FL, United States
| | - Ethan Eddy
- Department of Horticulture & Landscape Architecture, Colorado State University, Fort Collins, CO, United States
| | - Amy O. Charkowski
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, United States
| | - Adam L. Heuberger
- Department of Horticulture & Landscape Architecture, Colorado State University, Fort Collins, CO, United States
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14
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Lu X, Liu P, Tu L, Guo X, Wang A, Zhu Y, Jiang Y, Zhang C, Xu Y, Chen Z, Wu X. Joint-GWAS, Linkage Mapping, and Transcriptome Analysis to Reveal the Genetic Basis of Plant Architecture-Related Traits in Maize. Int J Mol Sci 2024; 25:2694. [PMID: 38473942 DOI: 10.3390/ijms25052694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/04/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
Plant architecture is one of the key factors affecting maize yield formation and can be divided into secondary traits, such as plant height (PH), ear height (EH), and leaf number (LN). It is a viable approach for exploiting genetic resources to improve plant density. In this study, one natural panel of 226 inbred lines and 150 family lines derived from the offspring of T32 crossed with Qi319 were genotyped by using the MaizeSNP50 chip and the genotyping by sequence (GBS) method and phenotyped under three different environments. Based on the results, a genome-wide association study (GWAS) and linkage mapping were analyzed by using the MLM and ICIM models, respectively. The results showed that 120 QTNs (quantitative trait nucleotides) and 32 QTL (quantitative trait loci) related to plant architecture were identified, including four QTL and 40 QTNs of PH, eight QTL and 41 QTNs of EH, and 20 QTL and 39 QTNs of LN. One dominant QTL, qLN7-2, was identified in the Zhangye environment. Six QTNs were commonly identified to be related to PH, EH, and LN in different environments. The candidate gene analysis revealed that Zm00001d021574 was involved in regulating plant architecture traits through the autophagy pathway, and Zm00001d044730 was predicted to interact with the male sterility-related gene ms26. These results provide abundant genetic resources for improving maize plant architecture traits by using approaches to biological breeding.
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Affiliation(s)
- Xuefeng Lu
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
- Ministry of Agriculture and Rural Affairs Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region, Guiyang 550006, China
| | - Pengfei Liu
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Liang Tu
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Xiangyang Guo
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Angui Wang
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Yunfang Zhu
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Yulin Jiang
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
- Ministry of Agriculture and Rural Affairs Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region, Guiyang 550006, China
| | - Chunlan Zhang
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Yan Xu
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Zehui Chen
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Xun Wu
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
- Ministry of Agriculture and Rural Affairs Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region, Guiyang 550006, China
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15
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Wang Y, Saelao P, Chanthavixay G, Gallardo RA, Wolc A, Fulton JE, Dekkers JM, Lamont SJ, Kelly TR, Zhou H. Genomic Regions and Candidate Genes Affecting Response to Heat Stress with Newcastle Virus Infection in Commercial Layer Chicks Using Chicken 600K Single Nucleotide Polymorphism Array. Int J Mol Sci 2024; 25:2640. [PMID: 38473888 DOI: 10.3390/ijms25052640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
Heat stress results in significant economic losses to the poultry industry. Genetics plays an important role in chickens adapting to the warm environment. Physiological parameters such as hematochemical parameters change in response to heat stress in chickens. To explore the genetics of heat stress resilience in chickens, a genome-wide association study (GWAS) was conducted using Hy-Line Brown layer chicks subjected to either high ambient temperature or combined high temperature and Newcastle disease virus infection. Hematochemical parameters were measured during three treatment phases: acute heat stress, chronic heat stress, and chronic heat stress combined with NDV infection. Significant changes in blood parameters were recorded for 11 parameters (sodium (Na+, potassium (K+), ionized calcium (iCa2+), glucose (Glu), pH, carbon dioxide partial pressure (PCO2), oxygen partial pressure (PO2), total carbon dioxide (TCO2), bicarbonate (HCO3), base excess (BE), and oxygen saturation (sO2)) across the three treatments. The GWAS revealed 39 significant SNPs (p < 0.05) for seven parameters, located on Gallus gallus chromosomes (GGA) 1, 3, 4, 6, 11, and 12. The significant genomic regions were further investigated to examine if the genes within the regions were associated with the corresponding traits under heat stress. A candidate gene list including genes in the identified genomic regions that were also differentially expressed in chicken tissues under heat stress was generated. Understanding the correlation between genetic variants and resilience to heat stress is an important step towards improving heat tolerance in poultry.
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Affiliation(s)
- Ying Wang
- Genomics to Improve Poultry Innovation Lab, University of California, Davis, CA 95616, USA
- Department of Animal Science, University of California, Davis, CA 95616, USA
| | - Perot Saelao
- Genomics to Improve Poultry Innovation Lab, University of California, Davis, CA 95616, USA
- Department of Animal Science, University of California, Davis, CA 95616, USA
- Veterinary Pest Genetics Research Unit, United States Department of Agriculture U, Kerrville, TX 78006, USA
| | - Ganrea Chanthavixay
- Genomics to Improve Poultry Innovation Lab, University of California, Davis, CA 95616, USA
- Department of Animal Science, University of California, Davis, CA 95616, USA
| | - Rodrigo A Gallardo
- Genomics to Improve Poultry Innovation Lab, University of California, Davis, CA 95616, USA
- School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Anna Wolc
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
- Hy-Line International, Dallas Center, IA 50063, USA
| | | | - Jack M Dekkers
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Susan J Lamont
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Terra R Kelly
- Genomics to Improve Poultry Innovation Lab, University of California, Davis, CA 95616, USA
- School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Huaijun Zhou
- Genomics to Improve Poultry Innovation Lab, University of California, Davis, CA 95616, USA
- Department of Animal Science, University of California, Davis, CA 95616, USA
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16
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Fu Y, Kelly JA, Gopalakrishnan J, Pelikan RC, Tessneer KL, Pasula S, Grundahl K, Murphy DA, Gaffney PM. Massively parallel reporter assay confirms regulatory potential of h QTLs and reveals important variants in lupus and other autoimmune diseases. HGG Adv 2024; 5:100279. [PMID: 38389303 PMCID: PMC10943488 DOI: 10.1016/j.xhgg.2024.100279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 02/15/2024] [Accepted: 02/18/2024] [Indexed: 02/24/2024] Open
Abstract
We designed a massively parallel reporter assay (MPRA) in an Epstein-Barr virus transformed B cell line to directly characterize the potential for histone post-translational modifications, i.e., histone quantitative trait loci (hQTLs), expression QTLs (eQTLs), and variants on systemic lupus erythematosus (SLE) and autoimmune (AI) disease risk haplotypes to modulate regulatory activity in an allele-dependent manner. Our study demonstrates that hQTLs, as a group, are more likely to modulate regulatory activity in an MPRA compared with other variant classes tested, including a set of eQTLs previously shown to interact with hQTLs and tested AI risk variants. In addition, we nominate 17 variants (including 11 previously unreported) as putative causal variants for SLE and another 14 for various other AI diseases, prioritizing these variants for future functional studies in primary and immortalized B cells. Thus, we uncover important insights into the mechanistic relationships among genotype, epigenetics, and gene expression in SLE and AI disease phenotypes.
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Affiliation(s)
- Yao Fu
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Jennifer A Kelly
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Jaanam Gopalakrishnan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; Neuro-Immune Regulome Unit, National Eye Institute, National Institute of Health, Bethesda, MD 20892, USA
| | - Richard C Pelikan
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Kandice L Tessneer
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Satish Pasula
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Kiely Grundahl
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - David A Murphy
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Patrick M Gaffney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
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17
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Mohanty JK, Thakro V, Yadav A, Nayyar H, Dixit GP, Agarwal P, Parida SK, Jha UC. Delineation of genes for a major QTL governing heat stress tolerance in chickpea. Plant Mol Biol 2024; 114:19. [PMID: 38363401 DOI: 10.1007/s11103-024-01421-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 12/08/2023] [Indexed: 02/17/2024]
Abstract
Chickpea (Cicer arietinum) is a cool season grain legume experiencing severe yield loss during heat stress due to the intensifying climate changes and its associated gradual increase of mean temperature. Hence, understanding the genetic architecture regulating heat stress tolerance has emerged as an important trait to be addressed for enhancing yield and productivity of chickpea under heat stress. The present study is intended to identify the major genomic region(s) governing heat stress tolerance in chickpea. For this, an integrated genomics-assisted breeding strategy involving NGS-based high-resolution QTL-seq assay, QTL region-specific association analysis and molecular haplotyping was deployed in a population of 206 mapping individuals and a diversity panel of 217 germplasm accessions of chickpea. This combinatorial strategy delineated a major 156.8 kb QTL genomic region, which was subsequently narrowed-down to a functional candidate gene CaHSFA5 and its natural alleles associated strongly with heat stress tolerance in chickpea. Superior natural alleles and haplotypes delineated from the CaHSFA5 gene have functional significance in regulating heat stress tolerance in chickpea. Histochemical staining, interaction studies along with differential expression profiling of CaHSFA5 and ROS scavenging genes suggest a cross talk between CaHSFA5 with ROS homeostasis pertaining to heat stress tolerance in chickpea. Heterologous gene expression followed by heat stress screening further validated the functional significance of CaHSFA5 for heat stress tolerance. The salient outcomes obtained here can have potential to accelerate multiple translational genomic analysis including marker-assisted breeding and gene editing in order to develop high-yielding heat stress tolerant chickpea varieties.
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Affiliation(s)
- Jitendra K Mohanty
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Virevol Thakro
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Antima Yadav
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Harsh Nayyar
- Department of Botany, Panjab University, Chandigarh, 160014, India
| | - Girish P Dixit
- Indian Institute of Pulses Research (IIPR), Uttar Pradesh, Kanpur, 208024, India
| | - Pinky Agarwal
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India.
| | - Uday Chand Jha
- Indian Institute of Pulses Research (IIPR), Uttar Pradesh, Kanpur, 208024, India.
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18
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Cosenza F, Shrestha A, Van Inghelandt D, Casale FA, Wu PY, Weisweiler M, Li J, Wespel F, Stich B. Genetic mapping reveals new loci and alleles for flowering time and plant height using the HvDRR population of barley. J Exp Bot 2024:erae010. [PMID: 38330219 DOI: 10.1093/jxb/erae010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Indexed: 02/10/2024]
Abstract
Flowering time and plant height are two critical determinants of yield potential in barley (Hordeum vulgare). Despite their role in the plant physiological regulation, a complete overview of the genetic complexity of flowering time and plant height regulation in barley is still lacking. Through a double round-robin population originated from the crossings of 23 diverse parental inbred lines, we aimed to determine the variance components in the regulation of flowering time and plant height in barley as well as identify new genetic variants by single and multi-population QTL analyses and allele mining. Despite similar genotypic variance, we observed higher environmental variance components for plant height than flowering time. Furthermore, we detected new QTL for flowering time and plant height. Finally, we identified a new functional allelic variant of the main regulatory gene Ppd-H1. Our results show that the genetic architecture of flowering time and plant height might be more complex than reported earlier and that a number of undetected, small effect, or low-frequency, genetic variants underlie the control of these two traits.
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Affiliation(s)
- Francesco Cosenza
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Asis Shrestha
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Delphine Van Inghelandt
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Federico A Casale
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Po-Ya Wu
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Marius Weisweiler
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Jinquan Li
- Max Planck Institute for Plant Breeding Research, 50829 Köln, Germany
| | - Franziska Wespel
- Saatzucht Josef Breun GmbH Co. KG, Amselweg 1, 91074 Herzogenaurach, Germany
| | - Benjamin Stich
- Institute for Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225 Düsseldorf, Germany
- Max Planck Institute for Plant Breeding Research, 50829 Köln, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, 40225 Düsseldorf, Germany
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19
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Mirzaei M, Younkin GC, Powell AF, Alani ML, Strickler SR, Jander G. Aphid Resistance Segregates Independently of Cardenolide and Glucosinolate Content in an Erysimum cheiranthoides (Wormseed Wallflower) F2 Population. Plants (Basel) 2024; 13:466. [PMID: 38498451 PMCID: PMC10893121 DOI: 10.3390/plants13040466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 01/30/2024] [Accepted: 02/02/2024] [Indexed: 03/20/2024]
Abstract
Plants in the genus Erysimum produce both glucosinolates and cardenolides as a defense mechanism against herbivory. Two natural isolates of Erysimum cheiranthoides (wormseed wallflower) differed in their glucosinolate content, cardenolide content, and their resistance to Myzus persicae (green peach aphid), a broad generalist herbivore. Both classes of defensive metabolites were produced constitutively and were not further induced by aphid feeding. To investigate the relative importance of glucosinolates and cardenolides in E. cheiranthoides defense, we generated an improved genome assembly, genetic map, and segregating F2 population. The genotypic and phenotypic analysis of the F2 plants identified quantitative trait loci, which affected glucosinolates and cardenolides, but not the aphid resistance. The abundance of most glucosinolates and cardenolides was positively correlated in the F2 population, indicating that similar processes regulate their biosynthesis and accumulation. Aphid reproduction was positively correlated with glucosinolate content. Although the overall cardenolide content had little effect on aphid growth and survival, there was a negative correlation between aphid reproduction and helveticoside abundance. However, this variation in defensive metabolites could not explain the differences in aphid growth on the two parental lines, suggesting that processes other than the abundance of glucosinolates and cardenolides have a predominant effect on aphid resistance in E. cheiranthoides.
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Affiliation(s)
- Mahdieh Mirzaei
- Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, USA; (M.M.); (G.C.Y.); (A.F.P.); (M.L.A.)
| | - Gordon C. Younkin
- Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, USA; (M.M.); (G.C.Y.); (A.F.P.); (M.L.A.)
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Adrian F. Powell
- Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, USA; (M.M.); (G.C.Y.); (A.F.P.); (M.L.A.)
| | - Martin L. Alani
- Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, USA; (M.M.); (G.C.Y.); (A.F.P.); (M.L.A.)
- Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Susan R. Strickler
- Negaunee Institute for Plant Conservation Science and Action, Chicago Botanic Garden, Glencoe, IL 60022, USA;
- Plant Biology and Conservation Program, Northwestern University, Evanston, IL 60208, USA
| | - Georg Jander
- Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, USA; (M.M.); (G.C.Y.); (A.F.P.); (M.L.A.)
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20
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Yun P, Zhang C, Ma T, Xia J, Zhou K, Wang Y, Li Z. Identification of qGL4.1 and qGL4.2, two closely linked QTL controlling grain length in rice. Mol Breed 2024; 44:11. [PMID: 38304382 PMCID: PMC10828150 DOI: 10.1007/s11032-024-01447-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/03/2024] [Indexed: 02/03/2024]
Abstract
Grain size is an important appearance quality trait in rice, which also affects grain yield. In this study, a recombinant inbred line (RIL) population derived from a cross between indica variety 9311 and japonica variety Cypress was constructed. And 181 out of 600 RILs were sequenced, and a high-density genetic map containing 2842 bin markers was constructed, with a total map length of 1500.6 cM. A total of 10 quantitative trait loci (QTL) related to grain length (GL), grain width (GW), grain length-to-width ratio (LWR), and 1000-grain weight (TGW) were detected under two environments. The genetic effect of qGL4, a minor QTL for GL and TGW, was validated using three heterogeneous inbred family (HIF) segregation populations. It was further dissected into two closed linked QTL, qGL4.1 and qGL4.2. By progeny testing, qGL4.1 and qGL4.2 were successfully delimited to intervals of 1304-kb and 423-kb, respectively. Our results lay the foundation for the map-based cloning of qGL4.1 and qGL4.2 and provide new gene resources for the improvement of grain yield and quality in rice. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01447-y.
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Affiliation(s)
- Peng Yun
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Caijuan Zhang
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Tingchen Ma
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Jiafa Xia
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Kunneng Zhou
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Yuanlei Wang
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Zefu Li
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
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21
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Xing J, Zhang J, Wang Y, Wei X, Yin Z, Zhang Y, Pu A, Dong Z, Long Y, Wan X. Mining genic resources regulating nitrogen-use efficiency based on integrative biological analyses and their breeding applications in maize and other crops. Plant J 2024; 117:1148-1164. [PMID: 37967146 DOI: 10.1111/tpj.16550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/08/2023] [Accepted: 11/05/2023] [Indexed: 11/17/2023]
Abstract
Nitrogen (N) is an essential factor for limiting crop yields, and cultivation of crops with low nitrogen-use efficiency (NUE) exhibits increasing environmental and ecological risks. Hence, it is crucial to mine valuable NUE improvement genes, which is very important to develop and breed new crop varieties with high NUE in sustainable agriculture system. Quantitative trait locus (QTL) and genome-wide association study (GWAS) analysis are the most common methods for dissecting genetic variations underlying complex traits. In addition, with the advancement of biotechnology, multi-omics technologies can be used to accelerate the process of exploring genetic variations. In this study, we integrate the substantial data of QTLs, quantitative trait nucleotides (QTNs) from GWAS, and multi-omics data including transcriptome, proteome, and metabolome and further analyze their interactions to predict some NUE-related candidate genes. We also provide the genic resources for NUE improvement among maize, rice, wheat, and sorghum by homologous alignment and collinearity analysis. Furthermore, we propose to utilize the knowledge gained from classical cases to provide the frameworks for improving NUE and breeding N-efficient varieties through integrated genomics, systems biology, and modern breeding technologies.
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Affiliation(s)
- Jiapeng Xing
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
- Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Beijing Solidwill Sci-Tech Co. Ltd., Beijing, 100192, China
| | - Juan Zhang
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
- Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Beijing Solidwill Sci-Tech Co. Ltd., Beijing, 100192, China
| | - Yanbo Wang
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
| | - Xun Wei
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
- Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Beijing Solidwill Sci-Tech Co. Ltd., Beijing, 100192, China
| | - Zechao Yin
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
| | - Yuqian Zhang
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
| | - Aqing Pu
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
| | - Zhenying Dong
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
| | - Yan Long
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
- Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Beijing Solidwill Sci-Tech Co. Ltd., Beijing, 100192, China
| | - Xiangyuan Wan
- Research Institute of Biology and Agriculture, Shunde Innovation School, Zhongzhi International Institute of Agricultural Biosciences, University of Science and Technology Beijing, Beijing, 100083, China
- Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Beijing Solidwill Sci-Tech Co. Ltd., Beijing, 100192, China
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22
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Wang P, Ma L, Li D, Zhang B, Zhou T, Zhou X, Xing Y. Fine mapping of the panicle length QTL qPL5 in rice. Mol Breed 2024; 44:6. [PMID: 38261843 PMCID: PMC10794681 DOI: 10.1007/s11032-024-01443-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 12/02/2023] [Indexed: 01/25/2024]
Abstract
Panicle length is a crucial trait tightly associated with spikelets per panicle and grain yield in rice. To dissect the genetic basis of panicle length, a population of 161 recombinant inbred lines (RILs) was developed from the cross between an aus variety Chuan 7 (C7) and a tropical Geng variety Haoboka (HBK). C7 has a panicle length of 30 cm, 7 cm longer than that of HBK, and the panicle length was normally distributed in the RIL population. A total of six quantitative trait loci (QTLs) for panicle length were identified, and single QTLs explained the phenotypic variance from 4.9 to 18.1%. Among them, three QTLs were mapped to the regions harbored sd1, DLT, and Ehd1, respectively. To validate the genetic effect of a minor QTL qPL5, a near-isogenic F2 (NIF2) population segregated at qPL5 was developed. Interestingly, panicle length displayed bimodal distribution, and heading date also exhibited significant variation in the NIF2 population. qPL5 accounted for 66.5% of the panicle length variance. The C7 allele at qPL5 increased panicle length by 2.4 cm and promoted heading date by 5 days. Finally, qPL5 was narrowed down to an 80-kb region flanked by markers M2197 and M2205 using a large NIF2 population of 7600 plants. LOC_Os05g37540, encoding a phytochrome signal protein whose homolog in Arabidopsis enlarges panicle length, is regarded as the candidate gene because a single-nucleotide mutation (C1099T) caused a premature stop codon in HBK. The characterization of qPL5 with enlarging panicle length but promoting heading date makes its great value in breeding early mature varieties without yield penalty in rice. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01443-2.
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Affiliation(s)
- Pengfei Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
| | - Ling Ma
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
| | - Daoyang Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
| | - Bo Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
| | - Tianhao Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
| | - Xiangchun Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 China
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23
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Yang X, Li X, Bao Q, Wang Z, He S, Qu X, Tang Y, Song B, Huang J, Yi G. Uncovering Evolutionary Adaptations in Common Warthogs through Genomic Analyses. Genes (Basel) 2024; 15:166. [PMID: 38397156 PMCID: PMC10888464 DOI: 10.3390/genes15020166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/15/2024] [Accepted: 01/20/2024] [Indexed: 02/25/2024] Open
Abstract
In the Suidae family, warthogs show significant survival adaptability and trait specificity. This study offers a comparative genomic analysis between the warthog and other Suidae species, including the Luchuan pig, Duroc pig, and Red River hog. By integrating the four genomes with sequences from the other four species, we identified 8868 single-copy orthologous genes. Based on 8868 orthologous protein sequences, phylogenetic assessments highlighted divergence timelines and unique evolutionary branches within suid species. Warthogs exist on different evolutionary branches compared to DRCs and LCs, with a divergence time preceding that of DRC and LC. Contraction and expansion analyses of warthog gene families have been conducted to elucidate the mechanisms of their evolutionary adaptations. Using GO, KEGG, and MGI databases, warthogs showed a preference for expansion in sensory genes and contraction in metabolic genes, underscoring phenotypic diversity and adaptive evolution direction. Associating genes with the QTLdb-pigSS11 database revealed links between gene families and immunity traits. The overlap of olfactory genes in immune-related QTL regions highlighted their importance in evolutionary adaptations. This work highlights the unique evolutionary strategies and adaptive mechanisms of warthogs, guiding future research into the distinct adaptability and disease resistance in pigs, particularly focusing on traits such as resistance to African Swine Fever Virus.
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Affiliation(s)
- Xintong Yang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China;
| | - Xingzheng Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
| | - Qi Bao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
| | - Zhen Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
| | - Sang He
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
| | - Xiaolu Qu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
| | - Yueting Tang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
- School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Bangmin Song
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
- School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Jieping Huang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, China;
| | - Guoqiang Yi
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; (X.Y.); (X.L.); (Q.B.); (Z.W.); (S.H.); (X.Q.); (Y.T.); (B.S.)
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Foshan 528226, China
- Bama Yao Autonomous County Rural Revitalization Research Institute, Bama 547500, China
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24
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Wang Y, Lu H, Liu X, Liu L, Zhang W, Huang Z, Li K, Xu A. Identification of Yellow Seed Color Genes Using Bulked Segregant RNA Sequencing in Brassica juncea L. Int J Mol Sci 2024; 25:1573. [PMID: 38338852 PMCID: PMC10855766 DOI: 10.3390/ijms25031573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/19/2023] [Accepted: 12/29/2023] [Indexed: 02/12/2024] Open
Abstract
Yellow seed breeding is an effective method to improve oil yield and quality in rapeseed (Brassica napus L.). However, naturally occurring yellow-seeded genotypes have not been identified in B. napus. Mustard (Brassica juncea L.) has some natural, yellow-seeded germplasms, yet the molecular mechanism underlying this trait remains unclear. In this study, a BC9 population derived from the cross of yellow seed mustard "Wuqi" and brown seed mustard "Wugong" was used to analyze the candidate genes controlling the yellow seed color of B. juncea. Subsequently, yellow-seeded (BY) and brown-seeded (BB) bulks were constructed in the BC9 population and subjected to bulked segregant RNA sequencing (BSR-Seq). A total of 511 differentially expressed genes (DEGs) were identified between the brown and yellow seed bulks. Enrichment analysis revealed that these DEGs were involved in the phenylpropanoid biosynthetic process and flavonoid biosynthetic process, including key genes such as 4CL, C4H, LDOX/TT18, PAL1, PAL2, PAL4, TT10, TT12, TT4, TT8, BAN, DFR/TT3, F3H/TT6, TT19, and CHI/TT5. In addition, 111,540 credible single-nucleotide polymorphisms (SNPs) and 86,319 INDELs were obtained and used for quantitative trait locus (QTL) identification. Subsequently, two significant QTLs on chromosome A09, namely, qSCA09-3 and qSCA09-7, were identified by G' analysis, and five DEGs (BjuA09PAL2, BjuA09TT5, BjuA09TT6, BjuA09TT4, BjuA09TT3) involved in the flavonoid pathway were identified as hub genes based on the protein-to-protein network. Among these five genes, only BjuA09PAL2 and BjuA09F3H had SNPs between BY and BB bulks. Interestingly, the majority of SNPs in BjuA09PAL2 were consistent with the SNPs identified between the high-quality assembled B. juncea reference genome "T84-66" (brown-seed) and "AU213" (yellow-seed). Therefore, BjuA09PAL2, which encodes phenylalanine lyase, was considered as the candidate gene associated with yellow seed color of B. juncea. The identification of a novel gene associated with the yellow seed coloration of B. juncea through this study may play a significant role in enhancing yellow seed breeding in rapeseed.
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Affiliation(s)
| | | | | | | | | | | | - Keqi Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Xianyang 712100, China
| | - Aixia Xu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Xianyang 712100, China
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25
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Wu W, Zhang TT, You LL, Wang ZY, Du SQ, Song HY, Wang ZH, Huang YJ, Liao JL. The QTL and Candidate Genes Regulating the Early Tillering Vigor Traits of Late-Season Rice in Double-Cropping Systems. Int J Mol Sci 2024; 25:1497. [PMID: 38338776 PMCID: PMC10855346 DOI: 10.3390/ijms25031497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/18/2024] [Accepted: 01/21/2024] [Indexed: 02/12/2024] Open
Abstract
Rice effective panicle is a major trait for grain yield and is affected by both the genetic tiller numbers and the early tillering vigor (ETV) traits to survive environmental adversities. The mechanism behind tiller bud formation has been well described, while the genes and the molecular mechanism underlying rice-regulating ETV traits are unclear. In this study, the candidate genes in regulating ETV traits have been sought by quantitative trait locus (QTL) mapping and bulk-segregation analysis by resequencing method (BSA-seq) conjoint analysis using rice backcross inbred line (BIL) populations, which were cultivated as late-season rice of double-cropping rice systems. By QTL mapping, seven QTLs were detected on chromosomes 1, 3, 4, and 9, with the logarithm of the odds (LOD) values ranging from 3.52 to 7.57 and explained 3.23% to 12.98% of the observed phenotypic variance. By BSA-seq analysis, seven QTLs on chromosomes 1, 2, 4, 5, 7, and 9 were identified using single-nucleotide polymorphism (SNP) and insertions/deletions (InDel) index algorithm and Euclidean distance (ED) algorithm. The overlapping QTL resulting from QTL mapping and BSA-seq analysis was shown in a 1.39 Mb interval on chromosome 4. In the overlap interval, six genes, including the functional unknown genes Os04g0455650, Os04g0470901, Os04g0500600, and ethylene-insensitive 3 (Os04g0456900), sialyltransferase family domain containing protein (Os04g0506800), and ATOZI1 (Os04g0497300), showed the differential expression between ETV rice lines and late tillering vigor (LTV) rice lines and have a missense base mutation in the genomic DNA sequences of the parents. We speculate that the six genes are the candidate genes regulating the ETV trait in rice, which provides a research basis for revealing the molecular mechanism behind the ETV traits in rice.
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Affiliation(s)
- Wei Wu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
| | - Tian-Tian Zhang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
| | - Li-Li You
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
| | - Zi-Yi Wang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
| | - Si-Qi Du
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
| | - Hai-Yan Song
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
- Key Laboratory of Agriculture Responding to Climate Change, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zao-Hai Wang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
- Key Laboratory of Agriculture Responding to Climate Change, Jiangxi Agricultural University, Nanchang 330045, China
| | - Ying-Jin Huang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
- Key Laboratory of Agriculture Responding to Climate Change, Jiangxi Agricultural University, Nanchang 330045, China
| | - Jiang-Lin Liao
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding (Jiangxi Agricultural University), Ministry of Education of China, Nanchang 330045, China; (W.W.); (H.-Y.S.)
- Key Laboratory of Agriculture Responding to Climate Change, Jiangxi Agricultural University, Nanchang 330045, China
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Mabreja AD, Reyes VP, Soe TK, Shimakawa K, Makihara D, Nishiuchi S, Doi K. Evaluation of Grain-Filling-Related Traits Using Taichung 65 x DV85 Chromosome Segment Substitution Lines (TD-CSSLs) of Rice. Plants (Basel) 2024; 13:289. [PMID: 38256843 PMCID: PMC10818708 DOI: 10.3390/plants13020289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024]
Abstract
Grain yield of rice consists of sink capacity and grain filling. There are some genes known to contribute to sink capacity, but few genes associated with grain filling are known. We conducted a genetic analysis on yield-related traits by using a chromosome segment substitution line population that have introgression from DV85, an aus variety of rice, in the background of T65, a japonica variety. Refined whole-genome genotypes of the 43 TD-CSSLs were obtained by genotyping-by-sequencing. The effects of previously detected quantitative trait loci (QTLs), qNSC1 and qNSC2, were confirmed by the amount of non-structural carbohydrate (NSC) at 5 days after heading (DAH). The CSSL for qSWTR11, the QTL for decrease in shoot weight during the maturity stage, showed the highest NSC at 5 DAH and lowest at 35 DAH. The brown rice yield of these lines were not stably significant. Most of the sink-related traits correlated between the 2 tested years, but most of the grain-filling traits did not show correlation between the 2 years. Correlation analysis revealed that the sink capacity is stable and primarily determines the yield, and grain filling is more affected by the environment. In addition, biomass production before heading and during the maturity stage contributes to higher yield in TD-CSSLs, and the amount of translocation of stem reserve does not affect much to the yield. We conclude that higher NSC at the heading stage and rapid decrease in shoot biomass during the maturity stage did not directly contribute to the yield formation in the japonica genetic background.
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Affiliation(s)
- Abebaw Dessie Mabreja
- Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan; (A.D.M.); (V.P.R.); (K.S.); (S.N.)
- Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Bahir Dar 1937, Ethiopia
| | - Vincent Pamugas Reyes
- Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan; (A.D.M.); (V.P.R.); (K.S.); (S.N.)
| | - Than Kutay Soe
- Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan; (A.D.M.); (V.P.R.); (K.S.); (S.N.)
| | - Kodai Shimakawa
- Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan; (A.D.M.); (V.P.R.); (K.S.); (S.N.)
| | - Daigo Makihara
- International Center for Research and Education in Agriculture, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan;
| | - Shunsaku Nishiuchi
- Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan; (A.D.M.); (V.P.R.); (K.S.); (S.N.)
| | - Kazuyuki Doi
- Graduate School of Bioagicultural Science, Nagoya University, Chikusa, Nagoya 464-8601, Aichi, Japan; (A.D.M.); (V.P.R.); (K.S.); (S.N.)
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Mirzaei M, Younkin GC, Powell AF, Alani ML, Strickler SR, Jander G. Aphid resistance segregates independently of cardiac glycoside and glucosinolate content in an Erysimum cheiranthoides (wormseed wallflower) F2 population. bioRxiv 2024:2024.01.11.575310. [PMID: 38293015 PMCID: PMC10827086 DOI: 10.1101/2024.01.11.575310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Plants in the genus Erysimum produce both glucosinolates and cardiac glycosides as defense against herbivory. Two natural isolates of Erysimum cheiranthoides (wormseed wallflower) differed in their glucosinolate content, cardiac glycoside content, and resistance to Myzus persicae (green peach aphid), a broad generalist herbivore. Both classes of defensive metabolites were produced constitutively and were not induced further by aphid feeding. To investigate the relative importance of glucosinolates and cardiac glycosides in E. cheiranthoides defense, we generated an improved genome assembly, genetic map, and segregating F2 population. Genotypic and phenotypic analysis of the F2 plants identified quantitative trait loci affecting glucosinolates and cardiac glycosides, but not aphid resistance. The abundance of most glucosinolates and cardiac glycosides was positively correlated in the F2 population, indicating that similar processes regulate their biosynthesis and accumulation. Aphid reproduction was positively correlated with glucosinolate content. Although overall cardiac glycoside content had little effect on aphid growth and survival, there was a negative correlation between aphid reproduction and helveticoside abundance. However, this variation in defensive metabolites could not explain the differences in aphid growth on the two parental lines, suggesting that processes other than the abundance of glucosinolates and cardiac glycosides have a predominant effect on aphid resistance in E. cheiranthoides.
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Affiliation(s)
- Mahdieh Mirzaei
- Boyce Thompson Institute, 533 Tower Road, Ithaca NY 14853, USA
| | - Gordon C. Younkin
- Boyce Thompson Institute, 533 Tower Road, Ithaca NY 14853, USA
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, New York 14853, USA
| | | | - Martin L. Alani
- Boyce Thompson Institute, 533 Tower Road, Ithaca NY 14853, USA
- Present address: Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Susan R. Strickler
- Negaunee Institute for Plant Conservation Science and Action, Chicago Botanic Garden, Glencoe, IL 60022, USA
- Plant Biology and Conservation Program, Northwestern University, Evanston, IL 60208, USA
| | - Georg Jander
- Boyce Thompson Institute, 533 Tower Road, Ithaca NY 14853, USA
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Park JR, Kim EG, Jang YH, Kim KM. Utilization of the Winkler scale of plants using big data temperature presented by the Korea Meteorological Administration. Front Plant Sci 2024; 14:1349606. [PMID: 38283972 PMCID: PMC10811219 DOI: 10.3389/fpls.2023.1349606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/27/2023] [Indexed: 01/30/2024]
Abstract
Introduction Rice is an important food source that can provide a stable supply of calories for most people around the world. However, owing to the recent rapid temperature rise, we are facing social issues related to the increase in the Winkler scale. In this study, a strategy for screening potential candidate genes related to the yield according to the Winkler scale is presented, and the possibility of using a candidate gene identified through sequence haplotype and homology analysis as a breeding source is suggested. Methods QTL for the Winkler scale was identified using a population of 120 double haploids derived from a cross between Cheongchoneg, Indica, and Nagdong, Japonica. Results and discussion A total of 79 candidate genes were detected in the identified QTL region, and OsHAq8 was finally screened. Through haplotype analysis, OsHAq8 was derived from the Indica group and orthologous to Graminae's activator of Hsp90 ATPase, suggesting that it is a candidate gene involved in yield according to temperature during the growing period. The expression level of OsHAq8 increased as the Winkler scale increased. The findings of this study can serve as a crucial indicator for predicting harvest time and grain quality while achieving a stable yield through marker selection and adaptation to climate change. Climate change occurs more frequently. In these situations, it is very important to predict harvest time and apply relevant candidate genes to breeding. The candidate genes presented in this study can be effectively applied to rice breeding in preparation for climate change.
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Affiliation(s)
- Jae-Ryoung Park
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju, Republic of Korea
- Coastal Agriculture Research Institute, Kyungpook National University, Daegu, Republic of Korea
| | - Eun-Gyeong Kim
- Coastal Agriculture Research Institute, Kyungpook National University, Daegu, Republic of Korea
| | - Yoon-Hee Jang
- Coastal Agriculture Research Institute, Kyungpook National University, Daegu, Republic of Korea
| | - Kyung-Min Kim
- Coastal Agriculture Research Institute, Kyungpook National University, Daegu, Republic of Korea
- Department of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea
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Dai D, Huang L, Zhang X, Zhang S, Yuan Y, Wu G, Hou Y, Yuan X, Chen X, Xue C. Identification of a Branch Number Locus in Soybean Using BSA-Seq and GWAS Approaches. Int J Mol Sci 2024; 25:873. [PMID: 38255945 PMCID: PMC10815202 DOI: 10.3390/ijms25020873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
The determination of the soybean branch number plays a pivotal role in plant morphogenesis and yield components. This polygenic trait is subject to environmental influences, and despite its significance, the genetic mechanisms governing the soybean branching number remain incompletely understood. To unravel these mechanisms, we conducted a comprehensive investigation employing a genome-wide association study (GWAS) and bulked sample analysis (BSA). The GWAS revealed 18 SNPs associated with the soybean branch number, among which qGBN3 on chromosome 2 emerged as a consistently detected locus across two years, utilizing different models. In parallel, a BSA was executed using an F2 population derived from contrasting cultivars, Wandou35 (low branching number) and Ruidou1 (high branching number). The BSA results pinpointed a significant quantitative trait locus (QTL), designated as qBBN1, located on chromosome 2 by four distinct methods. Importantly, both the GWAS and BSA methods concurred in co-locating qGBN3 and qBBN1. In the co-located region, 15 candidate genes were identified. Through gene annotation and RT-qPCR analysis, we predicted that Glyma.02G125200 and Glyma.02G125600 are candidate genes regulating the soybean branch number. These findings significantly enhance our comprehension of the genetic intricacies regulating the branch number in soybeans, offering promising candidate genes and materials for subsequent investigations aimed at augmenting the soybean yield. This research represents a crucial step toward unlocking the full potential of soybean cultivation through targeted genetic interventions.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Xin Chen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China (S.Z.); (Y.Y.); (Y.H.)
| | - Chenchen Xue
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China (S.Z.); (Y.Y.); (Y.H.)
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Dwivedi V, Pal L, Singh S, Singh NP, Parida SK, Chattopadhyay D. The chickpea WIP2 gene underlying a major QTL contributes to lateral root development. J Exp Bot 2024; 75:642-657. [PMID: 37158162 DOI: 10.1093/jxb/erad171] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 05/05/2023] [Indexed: 05/10/2023]
Abstract
Lateral roots are a major component of root system architecture, and lateral root count (LRC) positively contributes to yield under drought in chickpea. To understand the genetic regulation of LRC, a biparental mapping population derived from two chickpea accessions having contrasting LRCs was genotyped by sequencing, and phenotyped to map four major quantitative trait loci (QTLs) contributing to 13-32% of the LRC trait variation. A single- nucleotide polymorphism tightly linked to the locus contributing to highest trait variation was located on the coding region of a gene (CaWIP2), orthologous to NO TRANSMITTING TRACT/WIP domain protein 2 (NTT/WIP2) gene of Arabidopsis thaliana. A polymorphic simple sequence repeat (SSR) in the CaWIP2 promoter showed differentiation between low versus high LRC parents and mapping individuals, suggesting its utility for marker-assisted selection. CaWIP2 promoter showed strong expression in chickpea apical root meristem and lateral root primordia. Expression of CaWIP2 under its native promoter in the Arabidopsis wip2wip4wip5 mutant rescued its rootless phenotype to produce more lateral roots than the wild-type plants, and led to formation of amyloplasts in the columella. CaWIP2 expression also induced the expression of genes that regulate lateral root emergence. Our study identified a gene-based marker for LRC which will be useful for developing drought-tolerant, high-yielding chickpea varieties.
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Affiliation(s)
- Vikas Dwivedi
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Lalita Pal
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Shilpi Singh
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Nagendra Pratap Singh
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Swarup Kumar Parida
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Debasis Chattopadhyay
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
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De Guidi I, Serre C, Noble J, Ortiz-Julien A, Blondin B, Legras JL. QTL mapping reveals novel genes and mechanisms underlying variations in H2S production during alcoholic fermentation in Saccharomyces cerevisiae. FEMS Yeast Res 2024; 24:foad050. [PMID: 38124683 DOI: 10.1093/femsyr/foad050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/13/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
Saccharomyces cerevisiae requirement for reduced sulfur to synthesize methionine and cysteine during alcoholic fermentation, is mainly fulfilled through the sulfur assimilation pathway. Saccharomyces cerevisiae reduces sulfate into sulfur dioxide (SO2) and sulfide (H2S), whose overproduction is a major issue in winemaking, due to its negative impact on wine aroma. The amount of H2S produced is highly strain-specific and also depends on SO2 concentration, often added to grape must. Applying a bulk segregant analysis to a 96-strain-progeny derived from two strains with different abilities to produce H2S, and comparing allelic frequencies along the genome of pools of segregants producing contrasting H2S quantities, we identified two causative regions involved in H2S production in the presence of SO2. A functional genetic analysis allowed the identification of variants in four genes able to impact H2S formation, viz; ZWF1, ZRT2, SNR2, and YLR125W, and involved in functions and pathways not associated with sulfur metabolism until now. These data point out that, in wine fermentation conditions, redox status, and zinc homeostasis are linked to H2S formation while providing new insights into the regulation of H2S production, and a new vision of the interplay between the sulfur assimilation pathway and cell metabolism.
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Affiliation(s)
- Irene De Guidi
- SPO, Université de Montpellier, INRAE, Institut Agro, Montpellier 34060, France
| | - Céline Serre
- SPO, Université de Montpellier, INRAE, Institut Agro, Montpellier 34060, France
| | | | | | - Bruno Blondin
- SPO, Université de Montpellier, INRAE, Institut Agro, Montpellier 34060, France
| | - Jean-Luc Legras
- SPO, Université de Montpellier, INRAE, Institut Agro, Montpellier 34060, France
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Horitani M, Yamada R, Taroura K, Maeda A, Anai T, Watanabe S. Identification of Genes Responsible for the Synthesis of Glycitein Isoflavones in Soybean Seeds. Plants (Basel) 2024; 13:156. [PMID: 38256710 PMCID: PMC10818676 DOI: 10.3390/plants13020156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/23/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024]
Abstract
Soybean (Glycine max (L.) Merrill) isoflavones are among the most important secondary metabolites, with functional benefits for human health. Soybeans accumulate three aglycone forms of isoflavones: genistein, daidzein, and glycitein. Soybean landrace Kumachi-1 does not accumulate malonylglycitin at all. Gene structure analysis indicated that Glyma.11G108300 (F6H4) of Kumachi-1 has a 3.8-kbp insertion, resulting in a truncated flavonoid 6-hydroxylase (F6H) sequence compared to the wild-type sequence in Fukuyutaka. Mapping experiments using a mutant line (MUT1246) with a phenotype similar to that of Kumachi-1, with a single-nucleotide polymorphism (SNP) in F6H4, revealed co-segregation of this mutation and the absence of glycitein isoflavones. We also identified a mutant line (K01) that exhibited a change in the HPLC retention time of glycitein isoflavones, accumulating glycoside and malonylglycoside forms of 6-hydroxydaidzein. K01 contains an SNP that produces a premature stop codon in Glyma.01G004200 (IOMT3), a novel soybean isoflavone O-methyltransferase (IOMT) gene. We further analyzed transgenic hairy roots of soybeans expressing Glyma.11G108300 (F6H4) and Glyma.01G004200 (IOMT3). Those overexpressing F6H4 accumulated malonylglycoside forms of 6-hydroxydaidzein (M_6HD), and co-expression of F6H4 and IOMT3 increased the level of malonylglycitin but not of M_6HD. These results indicate that F6H4 and IOMT3 are responsible for glycitein biosynthesis in soybean seed hypocotyl.
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Affiliation(s)
- Masaki Horitani
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan; (M.H.)
| | - Risa Yamada
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan; (M.H.)
| | - Kanami Taroura
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan; (M.H.)
| | - Akari Maeda
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan; (M.H.)
| | - Toyoaki Anai
- Faculty of Agriculture, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;
| | - Satoshi Watanabe
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan; (M.H.)
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Hu P, Zhang J, Song Y, Zhao X, Jin X, Su Q, Yang Y, Wang J. Identification of Putative Quantitative Trait Loci for Improved Seed Oil Quality in Peanuts. Genes (Basel) 2024; 15:75. [PMID: 38254964 PMCID: PMC10815147 DOI: 10.3390/genes15010075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 12/31/2023] [Accepted: 01/03/2024] [Indexed: 01/24/2024] Open
Abstract
Improving seed oil quality in peanut (Arachis hypogaea) has long been an aim of breeding programs worldwide. The genetic resources to achieve this goal are limited. We used an advanced recombinant inbred line (RIL) population derived from JH5 × KX01-6 to explore quantitative trait loci (QTL) affecting peanut oil quality and their additive effects, epistatic effects, and QTL × environment interactions. Gas chromatography (GC) analysis suggested seven fatty acids components were obviously detected in both parents and analyzed in a follow-up QTL analysis. The major components, palmitic acid (C16:0), oleic acid (C18:1), and linoleic acid (C18:2), exhibited considerable phenotypic variation and fit the two major gene and minor gene mixed-inheritance model. Seventeen QTL explained 2.57-38.72% of the phenotypic variation in these major components, with LOD values of 4.12-37.56 in six environments, and thirty-five QTL explained 0.94-32.21% of the phenotypic variation, with LOD values of 5.99-150.38 in multiple environments. Sixteen of these QTL were detected in both individual and multiple environments. Among these, qFA_08_1 was a novel QTL with stable, valuable and major effect. Two other major-effect QTL, qFA_09_2 and qFA_19_3, share the same physical position as FAD2A and FAD2B, respectively. Eleven stable epistatic QTL involving nine loci explained 1.30-34.97% of the phenotypic variation, with epistatic effects ranging from 0.09 to 6.13. These QTL could be valuable for breeding varieties with improved oil quality.
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Affiliation(s)
| | | | | | | | | | | | - Yongqing Yang
- The Key Laboratory of Crop Genetics and Breeding of Hebei, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, China; (P.H.); (J.Z.); (Y.S.); (X.Z.); (X.J.); (Q.S.)
| | - Jin Wang
- The Key Laboratory of Crop Genetics and Breeding of Hebei, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, China; (P.H.); (J.Z.); (Y.S.); (X.Z.); (X.J.); (Q.S.)
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Toll K, Willis JH. The genetic basis of traits associated with the evolution of serpentine endemism in monkeyflowers. Evolution 2024; 78:111-126. [PMID: 37930045 DOI: 10.1093/evolut/qpad196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 10/17/2023] [Accepted: 10/27/2023] [Indexed: 11/07/2023]
Abstract
The floras on chemically and physically challenging soils, such as gypsum, shale, and serpentine, are characterized by narrowly endemic species. The evolution of edaphic endemics may be facilitated or constrained by genetic correlations among traits contributing to adaptation and reproductive isolation across soil boundaries. The yellow monkeyflowers in the Mimulus guttatus species complex are an ideal system in which to examine these evolutionary patterns. To determine the genetic basis of adaptive and prezygotic isolating traits, we performed genetic mapping experiments with F2 hybrids derived from a cross between a serpentine endemic, M. nudatus, and its close relative M. guttatus. Few large effect and many small effect QTL contribute to interspecific divergence in life history, floral, and leaf traits, and a history of directional selection contributed to trait divergence. Loci contributing to adaptive traits and prezygotic reproductive isolation overlap, and their allelic effects are largely in the direction of species divergence. These loci contain promising candidate genes regulating flowering time and plant organ size. Together, our results suggest that genetic correlations among traits can facilitate the evolution of adaptation and speciation and may be a common feature of the genetic architecture of divergence between edaphic endemics and their widespread relatives.
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Affiliation(s)
- Katherine Toll
- Department of Biology, Duke University, Durham, NC, United States
| | - John H Willis
- Department of Biology, Duke University, Durham, NC, United States
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Marone D, Laidò G, Saccomanno A, Petruzzino G, Giaretta Azevedo CV, De Vita P, Mastrangelo AM, Gadaleta A, Ammar K, Bassi FM, Wang M, Chen X, Rubiales D, Matny O, Steffenson BJ, Pecchioni N. Genome-wide association study of common resistance to rust species in tetraploid wheat. Front Plant Sci 2024; 14:1290643. [PMID: 38235202 PMCID: PMC10792004 DOI: 10.3389/fpls.2023.1290643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/11/2023] [Indexed: 01/19/2024]
Abstract
Rusts of the genus Puccinia are wheat pathogens. Stem (black; Sr), leaf (brown; Lr), and stripe (yellow; Yr) rust, caused by Puccinia graminis f. sp. tritici (Pgt), Puccinia triticina (Pt), and Puccinia striiformis f. sp. tritici (Pst), can occur singularly or in mixed infections and pose a threat to wheat production globally in terms of the wide dispersal of their urediniospores. The development of durable resistant cultivars is the most sustainable method for controlling them. Many resistance genes have been identified, characterized, genetically mapped, and cloned; several quantitative trait loci (QTLs) for resistance have also been described. However, few studies have considered resistance to all three rust pathogens in a given germplasm. A genome-wide association study (GWAS) was carried out to identify loci associated with resistance to the three rusts in a collection of 230 inbred lines of tetraploid wheat (128 of which were Triticum turgidum ssp. durum) genotyped with SNPs. The wheat panel was phenotyped in the field and subjected to growth chamber experiments across different countries (USA, Mexico, Morocco, Italy, and Spain); then, a mixed linear model (MLM) GWAS was performed. In total, 9, 34, and 5 QTLs were identified in the A and B genomes for resistance to Pgt, Pt, and Pst, respectively, at both the seedling and adult plant stages. Only one QTL on chromosome 4A was found to be effective against all three rusts at the seedling stage. Six QTLs conferring resistance to two rust species at the adult plant stage were mapped: three on chromosome 1B and one each on 5B, 7A, and 7B. Fifteen QTLs conferring seedling resistance to two rusts were mapped: five on chromosome 2B, three on 7B, two each on 5B and 6A, and one each on 1B, 2A, and 7A. Most of the QTLs identified were specific for a single rust species or race of a species. Candidate genes were identified within the confidence intervals of a QTL conferring resistance against at least two rust species by using the annotations of the durum (cv. 'Svevo') and wild emmer wheat ('Zavitan') reference genomes. The 22 identified loci conferring resistance to two or three rust species may be useful for breeding new and potentially durable resistant wheat cultivars.
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Affiliation(s)
- Daniela Marone
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Giovanni Laidò
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Antonietta Saccomanno
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
- Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, Reggio Emilia, Italy
| | - Giuseppe Petruzzino
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Cleber V. Giaretta Azevedo
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Pasquale De Vita
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Anna Maria Mastrangelo
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
| | - Agata Gadaleta
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti (Di.S.S.P.A.), Università di Bari “Aldo Moro”, Bari, Italy
| | - Karim Ammar
- International Maize and Wheat Improvement Centre (CIMMYT), Ciudad de México, Mexico
| | - Filippo M. Bassi
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Meinan Wang
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
| | - Xianming Chen
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
- Wheat Health, Genetics, and Quality Research Unit, United States Department of Agriculture - Agriculture Research Service (USDA-ARS), Pullman, WA, United States
| | - Diego Rubiales
- Institute for Sustainable Agriculture, Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain
| | - Oadi Matny
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, United States
| | - Brian J. Steffenson
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, United States
| | - Nicola Pecchioni
- Centro di Ricerca Cerealicoltura e Colture Industriali, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Foggia, Italy
- Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, Reggio Emilia, Italy
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Ding X, Shi J, Gui J, Zhou H, Yan Y, Zhu X, Xie B, Liu X, He J. Rice Seed Protrusion Quantitative Trait Loci Mapping through Genome-Wide Association Study. Plants (Basel) 2024; 13:134. [PMID: 38202442 PMCID: PMC10780921 DOI: 10.3390/plants13010134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/19/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024]
Abstract
The germination of seeds is a prerequisite for crop production. Protrusion is important for seed germination, and visible radicle protrusion through seed covering layers is the second phase of the process of seed germination. Analyzing the mechanism of protrusion is important for the cultivation of rice varieties. In this study, 302 microcore germplasm populations were used for the GWAS of the protrusion percentage (PP). The frequency distribution of the PP at 48 h and 72 h is continuous, and six PP-associated QTLs were identified, but only qPP2 was detected repeatedly two times. The candidate gene analysis showed that LOC_Os02g57530 (ETR3), LOC_Os01g57610 (GH3.1) and LOC_Os04g0425 (CTB2) were the candidate genes for qPP2, qPP1 and qPP4, respectively. The haplotype (Hap) analysis revealed that Hap1 of ETR3, Hap1 and 3 of GH3.1 and Hap2 and 5 of CTB2 are elite alleles for the PP. Further validation of the germination phenotype of these candidate genes showed that Hap1 of ETR3 is a favorable allele for the germination percentage; Hap3 of GH3.1 is an elite allele for seed germination; and Hap5 of CTB2 is an elite allele for the PP, the germination percentage and the vigor index. The results of this study identified three putative candidate genes that provide valuable information for understanding the genetic control of seed protrusion in rice.
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Affiliation(s)
| | | | | | | | | | | | | | - Xionglun Liu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China; (X.D.); (J.S.); (J.G.); (Y.Y.); (X.Z.); (B.X.)
| | - Jiwai He
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China; (X.D.); (J.S.); (J.G.); (Y.Y.); (X.Z.); (B.X.)
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Yang G, Sun M, Brewer L, Tang Z, Nieuwenhuizen N, Cooney J, Xu S, Sheng J, Andre C, Xue C, Rebstock R, Yang B, Chang W, Liu Y, Li J, Wang R, Qin M, Brendolise C, Allan AC, Espley RV, Lin-Wang K, Wu J. Allelic variation of BBX24 is a dominant determinant controlling red coloration and dwarfism in pear. Plant Biotechnol J 2024. [PMID: 38169146 DOI: 10.1111/pbi.14280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 01/05/2024]
Abstract
Variation in anthocyanin biosynthesis in pear fruit provides genetic germplasm resources for breeding, while dwarfing is an important agronomic trait, which is beneficial to reduce the management costs and allow for the implementation of high-density cultivation. Here, we combined bulked segregant analysis (BSA), quantitative trait loci (QTL), and structural variation (SV) analysis to identify a 14-bp deletion which caused a frame shift mutation and resulted in the premature translation termination of a B-box (BBX) family of zinc transcription factor, PyBBX24, and its allelic variation termed PyBBX24ΔN14 . PyBBX24ΔN14 overexpression promotes anthocyanin biosynthesis in pear, strawberry, Arabidopsis, tobacco, and tomato, while that of PyBBX24 did not. PyBBX24ΔN14 directly activates the transcription of PyUFGT and PyMYB10 through interaction with PyHY5. Moreover, stable overexpression of PyBBX24ΔN14 exhibits a dwarfing phenotype in Arabidopsis, tobacco, and tomato plants. PyBBX24ΔN14 can activate the expression of PyGA2ox8 via directly binding to its promoter, thereby deactivating bioactive GAs and reducing the plant height. However, the nuclear localization signal (NLS) and Valine-Proline (VP) motifs in the C-terminus of PyBBX24 reverse these effects. Interestingly, mutations leading to premature termination of PyBBX24 were also identified in red sports of un-related European pear varieties. We conclude that mutations in PyBBX24 gene link both an increase in pigmentation and a decrease in plant height.
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Affiliation(s)
- Guangyan Yang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu, China
| | - Manyi Sun
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu, China
| | - Lester Brewer
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Zikai Tang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Niels Nieuwenhuizen
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Janine Cooney
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Shaozhuo Xu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Jiawen Sheng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Christelle Andre
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Cheng Xue
- State Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, China
| | - Ria Rebstock
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Bo Yang
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Wenjing Chang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Yueyuan Liu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Jiaming Li
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu, China
| | - Runze Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Mengfan Qin
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Cyril Brendolise
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Andrew C Allan
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Richard V Espley
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Kui Lin-Wang
- The New Zealand Institute for Plant & Food Research Limited, Auckland, New Zealand
| | - Jun Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Horticulture, Nanjing Agricultural University, Nanjing, China
- Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu, China
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Zaïm M, Sanchez-Garcia M, Belkadi B, Filali-Maltouf A, Al Abdallat A, Kehel Z, Bassi FM. Genomic regions of durum wheat involved in water productivity. J Exp Bot 2024; 75:316-333. [PMID: 37702385 PMCID: PMC10735558 DOI: 10.1093/jxb/erad357] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 09/11/2023] [Indexed: 09/14/2023]
Abstract
Durum wheat is a staple food in the Mediterranean Basin, mostly cultivated under rainfed conditions. As such, the crop is often exposed to moisture stress. Therefore, the identification of genetic factors controlling the capacity of genotypes to convert moisture into grain yield (i.e., water productivity) is quintessential to stabilize production despite climatic variations. A global panel of 384 accessions was tested across 18 Mediterranean environments (in Morocco, Lebanon, and Jordan) representing a vast range of moisture levels. The accessions were assigned to water responsiveness classes, with genotypes 'Responsive to Low Moisture' reaching an average +1.5 kg ha-1 mm-1 yield advantage. Genome wide association studies revealed that six loci explained most of this variation. A second validation panel tested under moisture stress confirmed that carrying the positive allele at three loci on chromosomes 1B, 2A, and 7B generated an average water productivity gain of +2.2 kg ha-1 mm-1. These three loci were tagged by kompetitive allele specific PCR (KASP) markers, and these were used to screen a third independent validation panel composed of elites tested across moisture stressed sites. The three KASP combined predicted up to 10% of the variation for grain yield at 60% accuracy. These loci are now ready for molecular pyramiding and transfer across cultivars to improve the moisture conversion of durum wheat.
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Affiliation(s)
- Meryem Zaïm
- Laboratory of Microbiology and Molecular Biology, Faculty of Sciences, University Mohammed V in Rabat, Morocco
- ICARDA, Biodiversity and Integrated Gene Management, P.O. Box 6299, Rabat Institutes, Rabat, Morocco
| | - Miguel Sanchez-Garcia
- ICARDA, Biodiversity and Integrated Gene Management, P.O. Box 6299, Rabat Institutes, Rabat, Morocco
| | - Bouchra Belkadi
- Laboratory of Microbiology and Molecular Biology, Faculty of Sciences, University Mohammed V in Rabat, Morocco
| | - Abdelkarim Filali-Maltouf
- Laboratory of Microbiology and Molecular Biology, Faculty of Sciences, University Mohammed V in Rabat, Morocco
| | - Ayed Al Abdallat
- Faculty of Agriculture, The University of Jordan, Amman 11942, Jordan
| | - Zakaria Kehel
- ICARDA, Biodiversity and Integrated Gene Management, P.O. Box 6299, Rabat Institutes, Rabat, Morocco
| | - Filippo M Bassi
- ICARDA, Biodiversity and Integrated Gene Management, P.O. Box 6299, Rabat Institutes, Rabat, Morocco
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Thakro V, Varshney N, Malik N, Daware A, Srivastava R, Mohanty JK, Basu U, Narnoliya L, Jha UC, Tripathi S, Tyagi AK, Parida SK. Functional allele of a MATE gene selected during domestication modulates seed color in chickpea. Plant J 2024; 117:53-71. [PMID: 37738381 DOI: 10.1111/tpj.16469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/14/2023] [Accepted: 08/29/2023] [Indexed: 09/24/2023]
Abstract
Seed color is one of the key target traits of domestication and artificial selection in chickpeas due to its implications on consumer preference and market value. The complex seed color trait has been well dissected in several crop species; however, the genetic mechanism underlying seed color variation in chickpea remains poorly understood. Here, we employed an integrated genomics strategy involving QTL mapping, high-density mapping, map-based cloning, association analysis, and molecular haplotyping in an inter-specific RIL mapping population, association panel, wild accessions, and introgression lines (ILs) of Cicer gene pool. This delineated a MATE gene, CaMATE23, encoding a Transparent Testa (TT) and its natural allele (8-bp insertion) and haplotype underlying a major QTL governing seed color on chickpea chromosome 4. Signatures of selective sweep and a strong purifying selection reflected that CaMATE23, especially its 8-bp insertion natural allelic variant, underwent selection during chickpea domestication. Functional investigations revealed that the 8-bp insertion containing the third cis-regulatory RY-motif element in the CaMATE23 promoter is critical for enhanced binding of CaFUSCA3 transcription factor, a key regulator of seed development and flavonoid biosynthesis, thereby affecting CaMATE23 expression and proanthocyanidin (PA) accumulation in the seed coat to impart varied seed color in chickpea. Consequently, overexpression of CaMATE23 in Arabidopsis tt12 mutant partially restored the seed color phenotype to brown pigmentation, ascertaining its functional role in PA accumulation in the seed coat. These findings shed new light on the seed color regulation and evolutionary history, and highlight the transcriptional regulation of CaMATE23 by CaFUSCA3 in modulating seed color in chickpea. The functionally relevant InDel variation, natural allele, and haplotype from CaMATE23 are vital for translational genomic research, including marker-assisted breeding, for developing chickpea cultivars with desirable seed color that appeal to consumers and meet global market demand.
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Affiliation(s)
- Virevol Thakro
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Nidhi Varshney
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Naveen Malik
- Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur, 303002, India
| | - Anurag Daware
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Rishi Srivastava
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Jitendra K Mohanty
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Udita Basu
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Laxmi Narnoliya
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Uday Chand Jha
- Indian Institute of Pulses Research (IIPR), Kanpur, 208024, India
| | - Shailesh Tripathi
- Indian Institute of Pulses Research (IIPR), Kanpur, 208024, India
- Division of Genetics, Indian Agricultural Research Institute (IARI), New Delhi, 110012, India
| | - Akhilesh K Tyagi
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
- Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, 110021, India
| | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
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40
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Velasco VV, Ochiai T, Tsudzuki M, Goto N, Ishikawa A. Quantitative trait loci mapping of innate fear behavior in day-old F2 chickens of Japanese Oh-Shamo and White Leghorn breeds using restriction site-associated DNA sequencing. Poult Sci 2024; 103:103228. [PMID: 37989001 PMCID: PMC10667749 DOI: 10.1016/j.psj.2023.103228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/18/2023] [Accepted: 10/20/2023] [Indexed: 11/23/2023] Open
Abstract
Understanding the genetic mechanisms that underlie innate fear behavior is essential for improving the management and performance of the poultry industry. This study aimed to map QTL associated with innate fear responses in open field (OF) and tonic immobility (TI) tests, using an F2 chicken intercross population between 2 behaviorally distinct breeds: the aggressive Japanese Oh-Shamo (OSM) and the docile White Leghorn T-line (WL-T). Genome-wide QTL analysis for the OF and TI traits was conducted using 2,109 single nucleotide polymorphism (SNP) markers obtained through restriction site-associated DNA sequencing (RAD-seq). While several suggestive QTL were identified for TI and OF traits at genome-wide 20% significance threshold levels, the analysis revealed 2 significant QTL for 2 OF traits (total distance and maximum speed) at genome-wide 5% significance threshold levels. These significant QTL were located between 12.34 and 30.49 megabase (Mb) on chromosome 1 and between 40.02 and 63.38 Mb on chromosome 2, explaining 6.75 to 7.40% of the total variances. These findings provide valuable insights for the poultry industry, particularly in refining chicken management strategies and informing targeted breeding efforts.
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Affiliation(s)
| | - Takayuki Ochiai
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan
| | - Masaoki Tsudzuki
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima 739-8528, Japan
| | - Naoki Goto
- Hendrix Genetics BU Layers, Boxmeer 5831 CK, The Netherlands
| | - Akira Ishikawa
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.
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41
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Stack GM, Cala AR, Quade MA, Toth JA, Monserrate LA, Wilkerson DG, Carlson CH, Mamerto A, Michael TP, Crawford S, Smart CD, Smart LB. Genetic Mapping, Identification, and Characterization of a Candidate Susceptibility Gene for Powdery Mildew in Cannabis sativa. Mol Plant Microbe Interact 2024; 37:51-61. [PMID: 37750850 DOI: 10.1094/mpmi-04-23-0043-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Powdery mildew (PM) in Cannabis sativa is most frequently caused by the biotrophic fungus Golovinomyces ambrosiae. Based on previously characterized variation in susceptibility to PM, biparental populations were developed by crossing the most resistant cultivar evaluated, 'FL 58', with a susceptible cultivar, 'TJ's CBD'. F1 progeny were evaluated and displayed a range of susceptibility, and two were self-pollinated to generate two F2 populations. In 2021, the F2 populations (n = 706) were inoculated with PM and surveyed for disease severity. In both F2 populations, 25% of the progeny were resistant, while the remaining 75% showed a range of susceptibility. The F2 populations, as well as selected F1 progeny and the parents, were genotyped with a single-nucleotide polymorphism array, and a consensus genetic map was produced. A major effect quantitative trait locus on C. sativa chromosome 1 (Chr01) and other smaller-effect quantitative trait loci (QTL) on four other chromosomes were identified. The most associated marker on Chr01 was located near CsMLO1, a candidate susceptibility gene. Genomic DNA and cDNA sequencing of CsMLO1 revealed a 6.8-kb insertion in FL 58, relative to TJ's CBD, of which 846 bp are typically spliced into the mRNA transcript encoding a premature stop codon. Molecular marker assays were developed using CsMLO1 sequences to distinguish PM-resistant and PM-susceptible genotypes. These data support the hypothesis that a mutated MLO susceptibility gene confers resistance to PM in C. sativa and provides new genetic resources to develop resistant cultivars. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Affiliation(s)
- George M Stack
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Ali R Cala
- Plant Pathology and Plant Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Michael A Quade
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Jacob A Toth
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Luis A Monserrate
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Dustin G Wilkerson
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Craig H Carlson
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Allen Mamerto
- Plant Molecular and Cellular Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A
| | - Todd P Michael
- Plant Molecular and Cellular Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, U.S.A
| | | | - Christine D Smart
- Plant Pathology and Plant Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
| | - Lawrence B Smart
- Horticulture Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, Geneva, NY 14456, U.S.A
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Fan H, Xu J, Ao D, Jia T, Shi Y, Li N, Jing R, Sun D. QTL Mapping of Trichome Traits and Analysis of Candidate Genes in Leaves of Wheat ( Triticum aestivum L.). Genes (Basel) 2023; 15:42. [PMID: 38254932 PMCID: PMC10815787 DOI: 10.3390/genes15010042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/22/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
Trichome plays an important role in heat dissipation, cold resistance, water absorption, protection of leaves from mechanical damage, and direct exposure to ultraviolet rays. It also plays an important role in the photosynthesis, transpiration, and respiration of plants. However, the genetic basis of trichome traits is not fully understood in wheat. In this study, wheat DH population (Hanxuan 10 × Lumai 14) was used to map quantitative trait loci (QTL) for trichome traits in different parts of flag leaf at 10 days after anther with growing in Zhao County, Hebei Province, and Taigu County, Shanxi Province, respectively. The results showed that trichome density (TD) was leaf center > leaf tip > leaf base and near vein > middle > edge, respectively, in both environments. The trichome length (TL) was leaf tip > leaf center > leaf base and edge > middle > near vein. Significant phenotypic positive correlations were observed between the trichome-related traits of different parts. A total of 83 QTLs for trichome-related traits were mapped onto 18 chromosomes, and each one accounted for 2.41 to 27.99% of the phenotypic variations. Two QTL hotspots were detected in two marker intervals: AX-95232910~AX-95658735 on 3A and AX-94850949~AX-109507404 on 7D. Six possible candidate genes (TraesCS3A02G406000, TraesCS3A02G414900, TraesCS3A02G440900, TraesCS7D02G145200, TraesCS7D02G149200, and TraesCS7D02G152400) for trichome-related traits of wheat leaves were screened out according to their predicted expression levels in wheat leaves. The expression of these genes may be induced by a variety of abiotic stresses. The results provide the basis for further validation and functional characterization of the candidate genes.
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Affiliation(s)
- Hua Fan
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
- Experimental Teaching Center, Shanxi Agricultural University, Taigu, Jinzhong 030800, China
| | - Jianchao Xu
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
| | - Dan Ao
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
| | - Tianxiang Jia
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
| | - Yugang Shi
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
| | - Ning Li
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
| | - Ruilian Jing
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100000, China;
| | - Daizhen Sun
- College of Agronomy, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (H.F.); (J.X.); (D.A.); (T.J.); (Y.S.); (N.L.)
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43
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Li S, Xu S, Zheng J, Du H, Li C, Shen S, Liang S, Wang J, Liu H, Yang L, Xin W, Jia Y, Zou D, Zheng H. Joint QTL Mapping and Transcriptome Sequencing Analysis Reveal Candidate Genes for Salinity Tolerance in Oryza sativa L. ssp. Japonica Seedlings. Int J Mol Sci 2023; 24:17591. [PMID: 38139418 PMCID: PMC10743832 DOI: 10.3390/ijms242417591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/13/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023] Open
Abstract
Salinity stress is one of the major abiotic stresses affecting crop growth and production. Rice is an important food crop in the world, but also a salt-sensitive crop, and the rice seedling stage is the most sensitive to salt stress, which directly affects the final yield formation. In this study, two RIL populations derived from the crosses of CD (salt-sensitive)/WD (salt-tolerant) and KY131 (salt-sensitive)/XBJZ (salt-tolerant) were used as experimental materials, and the score of salinity toxicity (SST), the relative shoot length (RSL), the relative shoot fresh weight (RSFW), and the relative shoot dry weight (RSDW) were used for evaluating the degree of tolerance under salt stress in different lines. The genetic linkage map containing 978 and 527 bin markers were constructed in two RIL populations. A total of 14 QTLs were detected on chromosomes 1, 2, 3, 4, 7, 9, 10, 11, and 12. Among them, qSST12-1, qSST12-2, and qRSL12 were co-localized in a 140-kb overlap interval on chromosome 12, which containing 16 candidate genes. Furthermore, transcriptome sequencing and qRT-PCR were analyzed in CD and WD under normal and 120 mM NaCl stress. LOC_Os12g29330, LOC_Os12g29350, LOC_Os12g29390, and LOC_Os12g29400 were significantly induced by salt stress in both CD and WD. Sequence analysis showed that LOC_Os12g29400 in the salt-sensitive parents CD and KY131 was consistent with the reference sequence (Nipponbare), whereas the salt-tolerant parents WD and XBJZ differed significantly from the reference sequence both in the promoter and exon regions. The salt-tolerant phenotype was identified by using two T3 homozygous mutant plants of LOC_Os12g29400; the results showed that the score of salinity toxicity (SST) of the mutant plants (CR-3 and CR-5) was significantly lower than that of the wild type, and the seedling survival rate (SSR) was significantly higher than that of the wild type, which indicated that LOC_Os12g29400 could negatively regulate the salinity tolerance of rice at the seedling stage. The results lay a foundation for the analysis of the molecular mechanism of rice salinity tolerance and the cultivation of new rice varieties.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Hongliang Zheng
- Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education/College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.L.); (S.X.); (J.Z.); (H.D.); (C.L.); (S.S.); (S.L.); (J.W.); (H.L.); (L.Y.); (W.X.); (Y.J.); (D.Z.)
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Zhang M, Chen D, Tian J, Cao J, Xie K, He Y, Yuan M. OsGELP77, a QTL for broad-spectrum disease resistance and yield in rice, encodes a GDSL-type lipase. Plant Biotechnol J 2023. [PMID: 38100249 DOI: 10.1111/pbi.14271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/15/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023]
Abstract
Lipids and lipid metabolites have essential roles in plant-pathogen interactions. GDSL-type lipases are involved in lipid metabolism modulating lipid homeostasis. Some plant GDSLs modulate lipid metabolism altering hormone signal transduction to regulate host-defence immunity. Here, we functionally characterized a rice lipase, OsGELP77, promoting both immunity and yield. OsGELP77 expression was induced by pathogen infection and jasmonic acid (JA) treatment. Overexpression of OsGELP77 enhanced rice resistance to both bacterial and fungal pathogens, while loss-of-function of osgelp77 showed susceptibility. OsGELP77 localizes to endoplasmic reticulum and is a functional lipase hydrolysing universal lipid substrates. Lipidomics analyses demonstrate that OsGELP77 is crucial for lipid metabolism and lipid-derived JA homeostasis. Genetic analyses confirm that OsGELP77-modulated resistance depends on JA signal transduction. Moreover, population genetic analyses indicate that OsGELP77 expression level is positively correlated with rice resistance against pathogens. Three haplotypes were classified based on nucleotide polymorphisms in the OsGELP77 promoter where OsGELP77Hap3 is an elite haplotype. Three OsGELP77 haplotypes are differentially distributed in wild and cultivated rice, while OsGELP77Hap3 has been broadly pyramided for hybrid rice development. Furthermore, quantitative trait locus (QTL) mapping and resistance evaluation of the constructed near-isogenic line validated OsGELP77, a QTL for broad-spectrum disease resistance. In addition, OsGELP77-modulated lipid metabolism promotes JA accumulation facilitating grain yield. Notably, the hub defence regulator OsWRKY45 acts upstream of OsGELP77 by initiating the JA-dependent signalling to trigger immunity. Together, OsGELP77, a QTL contributing to immunity and yield, is a candidate for breeding broad-spectrum resistant and high-yielding rice.
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Affiliation(s)
- Miaojing Zhang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Dan Chen
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jingjing Tian
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jianbo Cao
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Kabin Xie
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Meng Yuan
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
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Deng K, Zhang H, Wu J, Zhao Z, Wang D, Xu G, Yu J, Ling Y, Zhao F. Development of Single-Segment Substitution Lines and Fine-Mapping of qSPP4 for Spikelets Per Panicle and qGW9 for Grain Width Based on Rice Dual-Segment Substitution Line Z783. Int J Mol Sci 2023; 24:17305. [PMID: 38139135 PMCID: PMC10744095 DOI: 10.3390/ijms242417305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Single segment substitution line (SSSL) libraries are an ideal platform for breeding by design. To develop SSSLs-Xihui18 covering the whole genome, a novel rice chromosome segment substitution line (CSSL), Z783, carrying two substitution segments (average length of 6.55 Mb) on Chr.4 and Chr.9 was identified, which was a gap in the library previously. Z783 was developed from the progeny of recipient "Xihui18" (an indica restorer line) and donor "Huhan3" (a japonica cultivar) by advanced backcross combined molecular marker-assisted selection (MAS). It displayed multiple panicles and less spikelets and wide grains. Then, a F2 population derived from Xihui18/Z783 was used to map quantitative trait loci (QTLs) for yield-related traits by the mixed linear model method. Nine QTLs were detected (p < 0.05). Furthermore, three SSSLs were constructed by MAS, and all 9 QTLs could be validated, and 15 novel QTLs could be detected by these SSSLs by a one-way ANOVA analysis. The genetic analysis showed that qSSP4 for less spikelets and qGW9 for wide grain all displayed dominant gene action in their SSSLs. Finally, qSSP4 and qGW9 were fine-mapped to intervals of 2.75 Mb and 1.84 Mb, on Chromosomes 4 and 9, respectively. The results lay a solid foundation for their map cloning and molecular breeding by design.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Fangming Zhao
- Rice Research Institute, Academy of Agricultural Science, Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, Chongqing 400715, China; (K.D.); (H.Z.); (J.W.); (Z.Z.); (D.W.); (G.X.); (J.Y.); (Y.L.)
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Stapley J, McDonald BA. Quantitative trait locus mapping of osmotic stress response in the fungal wheat pathogen Zymoseptoria tritici. G3 (Bethesda) 2023; 13:jkad226. [PMID: 37774498 DOI: 10.1093/g3journal/jkad226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 10/01/2023]
Abstract
Osmotic stress is a ubiquitous and potent stress for all living organisms, but few studies have investigated the genetic basis of salt tolerance in filamentous fungi. The main aim of this study was to identify regions of the genome associated with tolerance to potassium chloride (KCl) in the wheat pathogen Zymoseptoria tritici. A secondary aim was to identify candidate genes affecting salt tolerance within the most promising chromosomal regions. We achieved these aims with a quantitative trait locus (QTL) mapping study using offspring from 2 crosses grown in vitro in the presence or absence of osmotic stress imposed by 0.75 M KCl. We identified significant QTL for most of the traits in both crosses. Several QTLs overlapped with QTL identified in earlier studies for other traits, and some QTL explained trait variation in both the control and salt stress environments. A significant QTL on chromosome 3 explained variation in colony radius at 8-day postinoculation (dpi) in the KCl environment as well as colony radius KCl tolerance at 8 dpi. The QTL peak had a high logarithm of the odds ratio (LOD) and encompassed an interval containing only 36 genes. Six of these genes present promising candidates for functional analyses. A gene ontology (GO) enrichment analysis of QTL unique to the KCl environment found evidence for the enrichment of functions involved in osmotic stress responses.
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Affiliation(s)
- Jessica Stapley
- Plant Pathology Group, Institute of Integrative Biology, ETH Zurich, Zürich 8092, Switzerland
| | - Bruce A McDonald
- Plant Pathology Group, Institute of Integrative Biology, ETH Zurich, Zürich 8092, Switzerland
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47
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Rios ACH, Nasner SLC, Londoño-Gil M, Gonzalez-Herrera LG, Lopez-Herrera A, Flórez JCR. Genome-wide association study for reproduction traits in Colombian Creole Blanco Orejinegro cattle. Trop Anim Health Prod 2023; 55:429. [PMID: 38044379 DOI: 10.1007/s11250-023-03847-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/27/2023] [Indexed: 12/05/2023]
Abstract
The profitability of the beef cattle production system relies heavily on reproductive traits. Unfortunately, certain traits, such as age at first calving (AFC), calving interval (CI), and gestation length (GL), can pose challenges in traditional breeding programs because of their low heritability (0.01-0.12) and sex-limited characteristics. Another important aspect is the conservation of the genetic resources of animals adapted to the Colombian regions, which implies the preservation and rational use of the creole breeds in the country market. Therefore, this study aimed to identify genomic regions in the creole cattle breed Blanco Orejinegro (BON) that influence the reproductive traits in females. The dataset comprised 439 animals and 118,116 single-nucleotide polymorphisms' (SNPs) markers. The GS3 program was used to identify the SNP effects employing the BAYES Cπ methodology. The number of SNPs with effect for AFC was 25, 1527 for CI, and 23 for GL. Some of the genes found associated with reproductive and growth traits as well as immune response and environmental adaptation ECE1, EPH, EPHB2, SMARCAL1, IGFBP5, IGFBP2, FCGRT, EGFR, MUL1, PINK1, STPG1, CNGB1, TGFB1, OXTR, IL22RA1, MYOM3, OXTR, CNR2, HIVEP3, CTPS1, CXCL8, FCGRT, MREG, TMEM169, PECR, and MC1R. Our results evidenced a high contribution of the genetic architecture of the Colombian creole cattle breed Blanco Orejinegro that may impact should be included in implementing genetic improvement and conservation programs.
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Affiliation(s)
- Ana Cristina Herrera Rios
- Grupo de Investigación Biodiversidad y Genética Molecular (BIOGEM), Universidad Nacional de Colombia Sede Medellín, Carrera 65 N 59A-110, 050034, Medellín, Colombia.
- Grupo de Investigación Nutri-Solla, SOLLA S.A., Cra 42 #33-80, Itagüí, Antioquia, Colombia.
| | - Sindy Liliana Caivio Nasner
- Grupo de Investigación Biomolecular y Pecuaria BIOPEC, Universidad Tecnológica de Pereira, Cra. 27 N10-02, 660003, Pereira, Risaralda, Colombia
| | - Marisol Londoño-Gil
- Grupo de Investigación Biodiversidad y Genética Molecular (BIOGEM), Universidad Nacional de Colombia Sede Medellín, Carrera 65 N 59A-110, 050034, Medellín, Colombia
| | - Luis Gabriel Gonzalez-Herrera
- Grupo de Investigación Biodiversidad y Genética Molecular (BIOGEM), Universidad Nacional de Colombia Sede Medellín, Carrera 65 N 59A-110, 050034, Medellín, Colombia
| | - Albeiro Lopez-Herrera
- Grupo de Investigación Biodiversidad y Genética Molecular (BIOGEM), Universidad Nacional de Colombia Sede Medellín, Carrera 65 N 59A-110, 050034, Medellín, Colombia
| | - Juan Carlos Rincón Flórez
- Grupo de Investigación Biodiversidad y Genética Molecular (BIOGEM), Universidad Nacional de Colombia Sede Medellín, Carrera 65 N 59A-110, 050034, Medellín, Colombia
- Grupo de Investigación Biodiversidad y Genética Molecular (BIOGEM), Universidad Nacional de Colombia Sede Palmira, Carrera 32 N 12 - 00, PC 763352, Palmira, Colombia
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Chen Y, Hu H, Atashi H, Grelet C, Wijnrocx K, Lemal P, Gengler N. Genetic analysis of milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation. J Dairy Sci 2023:S0022-0302(23)00826-3. [PMID: 38056571 DOI: 10.3168/jds.2023-23903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/08/2023] [Indexed: 12/08/2023]
Abstract
Milk citrate is regarded as an early biomarker of negative energy balance (NEB) in dairy cows during early lactation and serves as a suitable candidate phenotype for genomic selection due to its wide availability across a large number of cows through milk mid-infrared spectra prediction. However, its genetic background is not well known. Therefore, the objectives of this study were to (1) analyze the genetic parameters of milk citrate; (2) identify genomic regions associated with milk citrate; (3) analyze the functional annotation of candidate genes and quantitative trait loci (QTL) related to milk citrate in Walloon Holstein cows. In total, 134,517 test-day milk citrate phenotypes (mmol/L) collected within the first 50 d in milk (DIM) on 52,198 Holstein cows were used. These milk citrate phenotypes, predicted by milk mid-infrared spectra, were divided into 3 traits according to the first (citrate1), second (citrate2), and third to fifth parity (citrate3+). Genomic information for 566,170 SNPs was available for 4,479 animals. A multiple-trait repeatability model was used to estimate genetic parameters. A single-step genome-wide association study (GWAS) was used to identify candidate genes for citrate and post-GWAS analysis was done to investigate relationship and function of the identified candidate genes. The heritabilities estimated for citrate1, citrate2 and citrate3+ were 0.40, 0.37 and 0.35, respectively. The genetic correlations between the 3 traits ranged from 0.98 to 0.99. The genomic correlations between the 3 traits were also nearly 1.00 across the genomic regions (1 Mb) in the whole genome, which means that citrate can be considered as a single trait in the first 5 parities. In total, 603 significant SNPs located on 3 genomic regions (chromosome7 68.569 - 68.575 Mb, 14 1.31 - 3.05 Mb, and 20 54.00 - 64.28 Mb), were identified to be associated with milk citrate. We identified 89 candidate genes including GPT, ANKH, PPP1R16A and 32 QTL reported in the literature related to the identified significant SNPs. These identified QTL were mainly reported associated with milk fatty acids and metabolic diseases in dairy cows. This study suggests that milk citrate in Holstein cows is highly heritable and has the potential to be used as an early proxy for the NEB of Holstein cows in a breeding objective.
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Affiliation(s)
- Yansen Chen
- TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium.
| | - Hongqing Hu
- TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium
| | - Hadi Atashi
- TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium; Department of Animal Science, Shiraz University, 71441-13131 Shiraz, Iran
| | - Clément Grelet
- Walloon Agricultural Research Center (CRA-W), 5030 Gembloux, Belgium
| | - Katrien Wijnrocx
- TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium
| | - Pauline Lemal
- TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium
| | - Nicolas Gengler
- TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium
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Kumar H, Panigrahi M, G Strillacci M, Sonejita Nayak S, Rajawat D, Ghildiyal K, Bhushan B, Dutt T. Detection of genome-wide copy number variation in Murrah buffaloes. Anim Biotechnol 2023; 34:3783-3795. [PMID: 37381739 DOI: 10.1080/10495398.2023.2227670] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Riverine Buffaloes, especially the Murrah breed because of their adaptability to harsh climatic conditions, is farmed in many countries to convert low-quality feed into valuable dairy products and meat. Here, we investigated the copy number variations (CNVs) in 296 Murrah buffalo using the Axiom® Buffalo Genotyping Array 90K (Affymetrix, Santa Clara, CA, USA). The CNVs were detected on the autosomes, using the Copy Number Analysis Module (CNAM) using the univariate analysis. 7937 CNVs were detected in 279 Buffaloes, the average length of the CNVs was 119,048.87 bp that ranged between 7800 and 4,561,030 bp. These CNVs were accounting for 10.33% of the buffalo genome, which was comparable to cattle, sheep, and goat CNV analyses. Further, CNVs were merged and 1541 CNVRs were detected using the Bedtools-mergeBed command. 485 genes were annotated within 196 CNVRs that were identified in at least 10 animals of Murrah population. Out of these, 40 CNVRs contained 59 different genes that were associated with 69 different traits. Overall, the study identified a significant number of CNVs and CNVRs in the Murrah breed of buffalo, with a wide range of lengths and frequencies across the autosomes. The identified CNVRs contained genes associated with important traits related to production and reproduction, making them potentially important targets for future breeding and genetic improvement efforts.
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Affiliation(s)
- Harshit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, India
| | - Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, India
| | - Maria G Strillacci
- Department of Veterinary Medicine and Animal Sciences, University of Milan, Lodi, Italy
| | | | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, India
| | - Kanika Ghildiyal
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, India
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50
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Waller H, Blankers T, Xu M, Shaw KL. Quantitative trait loci underlying a speciation phenotype. Insect Mol Biol 2023; 32:592-602. [PMID: 37318126 DOI: 10.1111/imb.12858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 05/12/2023] [Indexed: 06/16/2023]
Abstract
Sexual signalling traits and their associated genetic components play a crucial role in the speciation process, as divergence in these traits can contribute to sexual isolation. Despite their importance, our understanding of the genetic basis of variable sexual signalling traits linked to speciation remains limited. In this study, we present new genetic evidence of Quantitative Trait Loci (QTL) underlying divergent sexual signalling behaviour, specifically pulse rate, in the Hawaiian cricket Laupala. By performing RNA sequencing on the brain and central nervous system of the parental species, we annotate these QTL regions and identify candidate genes associated with pulse rate. Our findings provide insights into the genetic processes driving reproductive isolation during speciation, with implications for understanding the mechanisms underlying species diversity.
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Affiliation(s)
- Hayden Waller
- Department of Neurobiology and Behavior, Cornell University, Ithaca, New York, USA
| | - Thomas Blankers
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Mingzi Xu
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, USA
| | - Kerry L Shaw
- Department of Neurobiology and Behavior, Cornell University, Ithaca, New York, USA
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