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Liu F, Baye W, Zhao K, Tang S, Xie Q, Xie P. Unravelling sorghum functional genomics and molecular breeding: past achievements and future prospects. J Genet Genomics 2024:S1673-8527(24)00194-2. [PMID: 39053846 DOI: 10.1016/j.jgg.2024.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 07/27/2024]
Abstract
Sorghum, renowned for its substantial biomass production and remarkable tolerance to various stresses, possesses extensive gene resources and phenotypic variations. A comprehensive understanding of the genetic basis underlying complex agronomic traits is essential for unlocking the potential of sorghum in addressing food and feed security and utilizing marginal lands. In this context, we provide an overview of the major trends in genomic resource studies focusing on key agronomic traits over the past decade, accompanied by a summary of functional genomic platforms. We also delve into the molecular functions and regulatory networks of impactful genes for important agricultural traits. Lastly, we discuss and synthesize the current challenges and prospects for advancing molecular design breeding by gene-editing and polymerization of the excellent alleles, with the aim of accelerating the development of desired sorghum varieties.
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Affiliation(s)
- Fangyuan Liu
- School of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Wodajo Baye
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China; College of Natural and Computational Science, Woldia University, Woldia, Po.box-400, Ethiopia.
| | - Kangxu Zhao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Sanyuan Tang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Qi Xie
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Peng Xie
- School of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, Guangdong 518107, China.
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2
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Jiao Y, Nigam D, Barry K, Daum C, Yoshinaga Y, Lipzen A, Khan A, Parasa SP, Wei S, Lu Z, Tello-Ruiz MK, Dhiman P, Burow G, Hayes C, Chen J, Brandizzi F, Mortimer J, Ware D, Xin Z. A large sequenced mutant library - valuable reverse genetic resource that covers 98% of sorghum genes. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 117:1543-1557. [PMID: 38100514 DOI: 10.1111/tpj.16582] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/08/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023]
Abstract
Mutant populations are crucial for functional genomics and discovering novel traits for crop breeding. Sorghum, a drought and heat-tolerant C4 species, requires a vast, large-scale, annotated, and sequenced mutant resource to enhance crop improvement through functional genomics research. Here, we report a sorghum large-scale sequenced mutant population with 9.5 million ethyl methane sulfonate (EMS)-induced mutations that covered 98% of sorghum's annotated genes using inbred line BTx623. Remarkably, a total of 610 320 mutations within the promoter and enhancer regions of 18 000 and 11 790 genes, respectively, can be leveraged for novel research of cis-regulatory elements. A comparison of the distribution of mutations in the large-scale mutant library and sorghum association panel (SAP) provides insights into the influence of selection. EMS-induced mutations appeared to be random across different regions of the genome without significant enrichment in different sections of a gene, including the 5' UTR, gene body, and 3'-UTR. In contrast, there were low variation density in the coding and UTR regions in the SAP. Based on the Ka /Ks value, the mutant library (~1) experienced little selection, unlike the SAP (0.40), which has been strongly selected through breeding. All mutation data are publicly searchable through SorbMutDB (https://www.depts.ttu.edu/igcast/sorbmutdb.php) and SorghumBase (https://sorghumbase.org/). This current large-scale sequence-indexed sorghum mutant population is a crucial resource that enriched the sorghum gene pool with novel diversity and a highly valuable tool for the Poaceae family, that will advance plant biology research and crop breeding.
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Affiliation(s)
- Yinping Jiao
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas, 79409, USA
| | - Deepti Nigam
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas, 79409, USA
| | - Kerrie Barry
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Chris Daum
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Yuko Yoshinaga
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Anna Lipzen
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
| | - Adil Khan
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas, 79409, USA
| | - Sai-Praneeth Parasa
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas, 79409, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, 11724, USA
| | - Zhenyuan Lu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, 11724, USA
| | | | - Pallavi Dhiman
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, Texas, 79409, USA
| | - Gloria Burow
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, Texas, 79424, USA
| | - Chad Hayes
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, Texas, 79424, USA
| | - Junping Chen
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, Texas, 79424, USA
| | - Federica Brandizzi
- MSU-DOE Plant Research Lab, Michigan State University, East Lansing, Michigan, USA
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan, USA
- Department of Plant Biology, Michigan State University, East Lansing, Michigan, USA
| | - Jenny Mortimer
- Joint BioEnergy Institute, Emeryville, California, 94608, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California, 94720, USA
- School of Agriculture, Food and Wine, Waite Research Institute, Waite Research Precinct, University of Adelaide, Glen Osmond, South Australia, 5064, Australia
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, 11724, USA
- USDA-ARS NAA Robert W. Holley Center for Agriculture and Health, Agricultural Research Service, Ithaca, New York, 14853, USA
| | - Zhanguo Xin
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, Texas, 79424, USA
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3
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Gupta P, Dholaniya PS, Princy K, Madhavan AS, Sreelakshmi Y, Sharma R. Augmenting tomato functional genomics with a genome-wide induced genetic variation resource. FRONTIERS IN PLANT SCIENCE 2024; 14:1290937. [PMID: 38328621 PMCID: PMC10848261 DOI: 10.3389/fpls.2023.1290937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/22/2023] [Indexed: 02/09/2024]
Abstract
Induced mutations accelerate crop improvement by providing novel disease resistance and yield alleles. However, the alleles with no perceptible phenotype but have an altered function remain hidden in mutagenized plants. The whole-genome sequencing (WGS) of mutagenized individuals uncovers the complete spectrum of mutations in the genome. Genome-wide induced mutation resources can improve the targeted breeding of tomatoes and facilitate functional genomics. In this study, we sequenced 132 doubly ethyl methanesulfonate (EMS)-mutagenized lines of tomato and detected approximately 41 million novel mutations and 5.5 million short InDels not present in the parental cultivar. Approximately 97% of the genome had mutations, including the genes, promoters, UTRs, and introns. More than one-third of genes in the mutagenized population had one or more deleterious mutations predicted by Sorting Intolerant From Tolerant (SIFT). Nearly one-fourth of deleterious genes mapped on tomato metabolic pathways modulate multiple pathway steps. In addition to the reported GC>AT transition bias for EMS, our population also had a substantial number of AT>GC transitions. Comparing mutation frequency among synonymous codons revealed that the most preferred codon is the least mutagenic toward EMS. The validation of a potato leaf-like mutation, reduction in carotenoids in ζ-carotene isomerase mutant fruits, and chloroplast relocation loss in phototropin1 mutant validated the mutation discovery pipeline. Our database makes a large repertoire of mutations accessible to functional genomics studies and breeding of tomatoes.
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Affiliation(s)
- Prateek Gupta
- Repository of Tomato Genomics Resources, Department of Plant Sciences, University of Hyderabad, Hyderabad, India
- Department of Biological Sciences, SRM University-AP, Amaravati, Andhra Pradesh, India
| | - Pankaj Singh Dholaniya
- Department of Biotechnology and Bioinformatics, University of Hyderabad, Hyderabad, India
| | - Kunnappady Princy
- Repository of Tomato Genomics Resources, Department of Plant Sciences, University of Hyderabad, Hyderabad, India
| | - Athira Sethu Madhavan
- Repository of Tomato Genomics Resources, Department of Plant Sciences, University of Hyderabad, Hyderabad, India
| | - Yellamaraju Sreelakshmi
- Repository of Tomato Genomics Resources, Department of Plant Sciences, University of Hyderabad, Hyderabad, India
| | - Rameshwar Sharma
- Repository of Tomato Genomics Resources, Department of Plant Sciences, University of Hyderabad, Hyderabad, India
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Xin Z. Mutagenesis in the Age of Next-Generation-Sequencing and Genome Editing. PLANTS (BASEL, SWITZERLAND) 2023; 12:3403. [PMID: 37836142 PMCID: PMC10574159 DOI: 10.3390/plants12193403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023]
Abstract
Mutagenesis is a proven, classical technique for inducing a broad spectrum of DNA variations and has led to the creation of thousands of improved varieties in many crop species [...].
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Affiliation(s)
- Zhanguo Xin
- Plant Stress and Germplasm Development Unit, USDA-ARS, 3810 4th Street, Lubbock, TX 79415, USA
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5
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Reyero-Saavedra R, Fuentes SI, Leija A, Jiménez-Nopala G, Peláez P, Ramírez M, Girard L, Porch TG, Hernández G. Identification and Characterization of Common Bean ( Phaseolus vulgaris) Non-Nodulating Mutants Altered in Rhizobial Infection. PLANTS (BASEL, SWITZERLAND) 2023; 12:1310. [PMID: 36986997 PMCID: PMC10059843 DOI: 10.3390/plants12061310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/07/2023] [Accepted: 03/12/2023] [Indexed: 06/19/2023]
Abstract
The symbiotic N2-fixation process in the legume-rhizobia interaction is relevant for sustainable agriculture. The characterization of symbiotic mutants, mainly in model legumes, has been instrumental for the discovery of symbiotic genes, but similar studies in crop legumes are scant. To isolate and characterize common bean (Phaseolus vulgaris) symbiotic mutants, an ethyl methanesulphonate-induced mutant population from the BAT 93 genotype was analyzed. Our initial screening of Rhizobium etli CE3-inoculated mutant plants revealed different alterations in nodulation. We proceeded with the characterization of three non-nodulating (nnod), apparently monogenic/recessive mutants: nnod(1895), nnod(2353) and nnod(2114). Their reduced growth in a symbiotic condition was restored when the nitrate was added. A similar nnod phenotype was observed upon inoculation with other efficient rhizobia species. A microscopic analysis revealed a different impairment for each mutant in an early symbiotic step. nnod(1895) formed decreased root hair curling but had increased non-effective root hair deformation and no rhizobia infection. nnod(2353) produced normal root hair curling and rhizobia entrapment to form infection chambers, but the development of the latter was blocked. nnod(2114) formed infection threads that did not elongate and thus did not reach the root cortex level; it occasionally formed non-infected pseudo-nodules. The current research is aimed at mapping the responsible mutated gene for a better understanding of SNF in this critical food crop.
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Affiliation(s)
- Rocío Reyero-Saavedra
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Sara Isabel Fuentes
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Alfonso Leija
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Gladys Jiménez-Nopala
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Pablo Peláez
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Mario Ramírez
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Lourdes Girard
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
| | - Timothy G. Porch
- USDA-ARS, Tropical Agriculture Research Station, 2200 P.A. Campos Avenue, Suite 201, Mayaguez 00680, Puerto Rico;
| | - Georgina Hernández
- Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Avenida Universidad 2001, Cuernavaca 62210, Morelos, Mexico; (R.R.-S.); (S.I.F.); (A.L.); (G.J.-N.); (P.P.); (M.R.); (L.G.)
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6
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Zhang S, Wang J, He W, Kan S, Liao X, Jordan DR, Mace ES, Tao Y, Cruickshank AW, Klein R, Yuan D, Tembrock LR, Wu Z. Variation in mitogenome structural conformation in wild and cultivated lineages of sorghum corresponds with domestication history and plastome evolution. BMC PLANT BIOLOGY 2023; 23:91. [PMID: 36782130 PMCID: PMC9926791 DOI: 10.1186/s12870-023-04104-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Mitochondria are organelles within eukaryotic cells that are central to the metabolic processes of cellular respiration and ATP production. However, the evolution of mitochondrial genomes (mitogenomes) in plants is virtually unknown compared to animal mitogenomes or plant plastids, due to complex structural variation and long stretches of repetitive DNA making accurate genome assembly more challenging. Comparing the structural and sequence differences of organellar genomes within and between sorghum species is an essential step in understanding evolutionary processes such as organellar sequence transfer to the nuclear genome as well as improving agronomic traits in sorghum related to cellular metabolism. RESULTS Here, we assembled seven sorghum mitochondrial and plastid genomes and resolved reticulated mitogenome structures with multilinked relationships that could be grouped into three structural conformations that differ in the content of repeats and genes by contig. The grouping of these mitogenome structural types reflects the two domestication events for sorghum in east and west Africa. CONCLUSIONS We report seven mitogenomes of sorghum from different cultivars and wild sources. The assembly method used here will be helpful in resolving complex genomic structures in other plant species. Our findings give new insights into the structure of sorghum mitogenomes that provides an important foundation for future research into the improvement of sorghum traits related to cellular respiration, cytonuclear incompatibly, and disease resistance.
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Affiliation(s)
- Shuo Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Hubei, Wuhan, 430070, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Guangdong, Shenzhen, 518120, China
| | - Jie Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Guangdong, Shenzhen, 518120, China
| | - Wenchuang He
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Guangdong, Shenzhen, 518120, China
| | - Shenglong Kan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Guangdong, Shenzhen, 518120, China
| | - Xuezhu Liao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Guangdong, Shenzhen, 518120, China
| | - David R Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, 4370, Australia
| | - Emma S Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, 4370, Australia
| | - Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, 4370, Australia
| | - Alan W Cruickshank
- Department of Agriculture and Fisheries (DAF), Agri-Science Queensland, Hermitage Research Facility, Warwick, Queensland, 4370, Australia
| | - Robert Klein
- Southern Plains Agricultural Research Center, USDA-ARS, College Station, Texas, 77845, USA
| | - Daojun Yuan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Hubei, Wuhan, 430070, China
| | - Luke R Tembrock
- Department of Agricultural Biology, Colorado State University, Fort Collins, Colorado, 80523, USA.
| | - Zhiqiang Wu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Guangdong, Shenzhen, 518120, China.
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7
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Simons JM, Herbert TC, Kauffman C, Batete MY, Simpson AT, Katsuki Y, Le D, Amundson D, Buescher EM, Weil C, Tuinstra M, Addo‐Quaye C. Systematic prediction of EMS-induced mutations in a sorghum mutant population. PLANT DIRECT 2022; 6:e404. [PMID: 35647479 PMCID: PMC9132608 DOI: 10.1002/pld3.404] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 04/22/2022] [Accepted: 04/24/2022] [Indexed: 05/14/2023]
Abstract
The precise detection of causal DNA mutations (deoxyribonucleic acid) is very crucial for forward genetic studies. Several sources of errors contribute to false-positive detections by current variant-calling algorithms, which impact associating phenotypes with genotypes. To improve the accuracy of mutation detection, we implemented a binning method for the accurate detection of likely ethyl methanesulfonate (EMS)-induced mutations in a sequenced mutant population. We also implemented a clustering algorithm for detecting likely false negatives with high accuracy. Sorghum bicolor is a very valuable crop species with tremendous potential for uncovering novel gene functions associated with highly desirable agronomical traits. We demonstrate the precision of the described approach in the detection of likely EMS-induced mutations from the publicly available low-cost sequencing of the M3 generation from 600 sorghum BTx623 mutants. The approach detected 3,274,606 single nucleotide polymorphisms (SNPs), of which 96% (3,141,908) were G/C to A/T DNA substitutions, as expected by EMS-mutagenesis mode of action. We demonstrated the general applicability of the described method and showed a high concordance, 94% (3,074,759) SNPs overlap between SAMtools-based and GATK-based variant-calling algorithms. Our clustering algorithm uncovered evidence for an additional 223,048 likely false-negative shared EMS-induced mutations. The final 3,497,654 SNPs represent an 87% increase in SNPs detected from the previous analysis of the mutant population, with an average of one SNP per 125 kb in the sorghum genome. Annotation of the final SNPs revealed 10,263 high-impact and 136,639 moderate-impact SNPs, including 7217 stop-gained mutations, which averages 12 stop-gained mutations per mutant, and four high- or medium-impact SNPs per sorghum gene. We have implemented a public search database for this new genetic resource of 30,285 distinct sorghum genes containing medium- or high-impact EMS-induced mutations. Seedstock for a select 486 of the 600 described mutants are publicly available in the Germplasm Resources Information Network (GRIN) database.
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Affiliation(s)
- Jared M. Simons
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | - Tim C. Herbert
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | - Coleby Kauffman
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | - Marc Y. Batete
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | - Andrew T. Simpson
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
- Present address:
Department of Biological SciencesUniversity of IdahoMoscowIdahoUSA
| | - Yuka Katsuki
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | - Dong Le
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | - Danielle Amundson
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
| | | | - Clifford Weil
- Department of AgronomyPurdue UniversityWest LafayetteIndianaUSA
| | - Mitch Tuinstra
- Department of AgronomyPurdue UniversityWest LafayetteIndianaUSA
| | - Charles Addo‐Quaye
- Division of Natural Sciences and MathematicsLewis‐Clark State CollegeLewistonIdahoUSA
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8
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Amombo E, Ashilenje D, Hirich A, Kouisni L, Oukarroum A, Ghoulam C, El Gharous M, Nilahyane A. Exploring the correlation between salt tolerance and yield: research advances and perspectives for salt-tolerant forage sorghum selection and genetic improvement. PLANTA 2022; 255:71. [PMID: 35190912 PMCID: PMC8860782 DOI: 10.1007/s00425-022-03847-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 01/25/2022] [Indexed: 05/18/2023]
Abstract
Some salt stress response mechanisms can translate into sorghum forage yield and thus act as targets for genetic improvement. Sorghum is a drought-tolerant cereal that is widely grown in the vast Africa's arid and semi-arid areas. Apart from drought, salinity is a major abiotic factor that, in addition to natural causes, has been exacerbated by increased poor anthropological activities. The importance of sorghum as a forage crop in saline areas has yet to be fully realized. Despite intraspecific variation in salt tolerance, sorghum is generally moderately salt-tolerant, and its productivity in saline soils can be remarkably limited. This is due to the difficulty of replicating optimal field saline conditions due to the great heterogeneity of salt distribution in the soil. As a promising fodder crop for saline areas, classic phenotype-based selection methods can be integrated with modern -omics in breeding programs to simultaneously address salt tolerance and production. To enable future manipulation, selection, and genetic improvement of sorghum with high yield and salt tolerance, here, we explore the potential positive correlations between the reliable indices of sorghum performance under salt stress at the phenotypic and genotypic level. We then explore the potential role of modern selection and genetic improvement programs in incorporating these linked salt tolerance and yield traits and propose a mechanism for future studies.
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Affiliation(s)
- Erick Amombo
- African Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laâyoune, Morocco
| | - Dennis Ashilenje
- African Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laâyoune, Morocco
| | - Abdelaziz Hirich
- African Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laâyoune, Morocco
| | - Lamfeddal Kouisni
- African Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laâyoune, Morocco
| | - Abdallah Oukarroum
- AgroBioSciences Department (AgBS), Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco
| | - Cherki Ghoulam
- AgroBioSciences Department (AgBS), Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco
- Center of Agrobiotechnology and Bioengineering, Labelled Research Unit CNRST, Cadi Ayyad University (UCA), Marrakech, Morocco
| | - Mohamed El Gharous
- Agricultural Innovation and Technology Transfer Center (AITTC), Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco
| | - Abdelaziz Nilahyane
- African Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laâyoune, Morocco.
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9
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Silva TN, Thomas JB, Dahlberg J, Rhee SY, Mortimer JC. Progress and challenges in sorghum biotechnology, a multipurpose feedstock for the bioeconomy. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:646-664. [PMID: 34644381 PMCID: PMC8793871 DOI: 10.1093/jxb/erab450] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/10/2021] [Indexed: 05/09/2023]
Abstract
Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop globally by harvested area and production. Its drought and heat tolerance allow high yields with minimal input. It is a promising biomass crop for the production of biofuels and bioproducts. In addition, as an annual diploid with a relatively small genome compared with other C4 grasses, and excellent germplasm diversity, sorghum is an excellent research species for other C4 crops such as maize. As a result, an increasing number of researchers are looking to test the transferability of findings from other organisms such as Arabidopsis thaliana and Brachypodium distachyon to sorghum, as well as to engineer new biomass sorghum varieties. Here, we provide an overview of sorghum as a multipurpose feedstock crop which can support the growing bioeconomy, and as a monocot research model system. We review what makes sorghum such a successful crop and identify some key traits for future improvement. We assess recent progress in sorghum transformation and highlight how transformation limitations still restrict its widespread adoption. Finally, we summarize available sorghum genetic, genomic, and bioinformatics resources. This review is intended for researchers new to sorghum research, as well as those wishing to include non-food and forage applications in their research.
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Affiliation(s)
- Tallyta N Silva
- Joint BioEnergy Institute, Emeryville, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jason B Thomas
- Carnegie Institution for Science, Department of Plant Biology, Stanford, CA, USA
| | - Jeff Dahlberg
- Joint BioEnergy Institute, Emeryville, CA, USA
- UC-ANR-KARE, 9240 S. Riverbend Ave, Parlier, CA, USA
| | - Seung Y Rhee
- Carnegie Institution for Science, Department of Plant Biology, Stanford, CA, USA
- Correspondence: or
| | - Jenny C Mortimer
- Joint BioEnergy Institute, Emeryville, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, SA, Australia
- Correspondence: or
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10
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Xin Z, Wang M, Cuevas HE, Chen J, Harrison M, Pugh NA, Morris G. Sorghum genetic, genomic, and breeding resources. PLANTA 2021; 254:114. [PMID: 34739592 PMCID: PMC8571242 DOI: 10.1007/s00425-021-03742-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 09/28/2021] [Indexed: 05/24/2023]
Abstract
Sorghum research has entered an exciting and fruitful era due to the genetic, genomic, and breeding resources that are now available to researchers and plant breeders. As the world faces the challenges of a rising population and a changing global climate, new agricultural solutions will need to be developed to address the food and fiber needs of the future. To that end, sorghum will be an invaluable crop species as it is a stress-resistant C4 plant that is well adapted for semi-arid and arid regions. Sorghum has already remained as a staple food crop in many parts of Africa and Asia and is critically important for animal feed and niche culinary applications in other regions, such as the United States. In addition, sorghum has begun to be developed into a promising feedstock for forage and bioenergy production. Due to this increasing demand for sorghum and its potential to address these needs, the continuous development of powerful community resources is required. These resources include vast collections of sorghum germplasm, high-quality reference genome sequences, sorghum association panels for genome-wide association studies of traits involved in food and bioenergy production, mutant populations for rapid discovery of causative genes for phenotypes relevant to sorghum improvement, gene expression atlas, and online databases that integrate all resources and provide the sorghum community with tools that can be used in breeding and genomic studies. Used in tandem, these valuable resources will ensure that the rate, quality, and collaborative potential of ongoing sorghum improvement efforts is able to rival that of other major crops.
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Affiliation(s)
- Zhanguo Xin
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, TX, 79424, USA.
| | - Mingli Wang
- Plant Genetic Resources Conservation Unit, USDA-ARS, Griffin, GA, 30223, USA
| | - Hugo E Cuevas
- Tropical Agriculture Research Station, USDA-ARS, Mayagüez, 00680, Puerto Rico
| | - Junping Chen
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, TX, 79424, USA
| | - Melanie Harrison
- Plant Genetic Resources Conservation Unit, USDA-ARS, Griffin, GA, 30223, USA
| | - N Ace Pugh
- Plant Stress and Germplasm Development Unit, Crop Systems Research Laboratory, USDA-ARS, 3810, 4th Street, Lubbock, TX, 79424, USA
| | - Geoffrey Morris
- Crop Quantitative Genomics, Soil and Crop Sciences, Colorado State University, Plant Sciences Building, Fort Collins, CO, 80523, USA
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11
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Boatwright JL, Brenton ZW, Boyles RE, Sapkota S, Myers MT, Jordan KE, Dale SM, Shakoor N, Cooper EA, Morris GP, Kresovich S. Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics. G3-GENES GENOMES GENETICS 2021; 11:6157831. [PMID: 33681979 PMCID: PMC8759819 DOI: 10.1093/g3journal/jkab060] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 02/18/2021] [Indexed: 12/03/2022]
Abstract
Sorghum bicolor, a photosynthetically efficient C4 grass, represents an important source of grain, forage, fermentable sugars, and cellulosic fibers that can be utilized in myriad applications ranging from bioenergy to bioindustrial feedstocks. Sorghum’s efficient fixation of carbon per unit time per unit area per unit input has led to its classification as a preferred biomass crop highlighted by its designation as an advanced biofuel by the U.S. Department of Energy. Due to its extensive genetic diversity and worldwide colonization, sorghum has considerable diversity for a range of phenotypes influencing productivity, composition, and sink/source dynamics. To dissect the genetic basis of these key traits, we present a sorghum carbon-partitioning nested association mapping (NAM) population generated by crossing 11 diverse founder lines with Grassl as the single recurrent female. By exploiting existing variation among cellulosic, forage, sweet, and grain sorghum carbon partitioning regimes, the sorghum carbon-partitioning NAM population will allow the identification of important biomass-associated traits, elucidate the genetic architecture underlying carbon partitioning and improve our understanding of the genetic determinants affecting unique phenotypes within Poaceae. We contrast this NAM population with an existing grain population generated using Tx430 as the recurrent female. Genotypic data are assessed for quality by examining variant density, nucleotide diversity, linkage decay, and are validated using pericarp and testa phenotypes to map known genes affecting these phenotypes. We release the 11-family NAM population along with corresponding genomic data for use in genetic, genomic, and agronomic studies with a focus on carbon-partitioning regimes.
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Affiliation(s)
- J Lucas Boatwright
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| | - Zachary W Brenton
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Carolina Seed Systems, Darlington, SC 29532, USA
| | - Richard E Boyles
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| | - Sirjan Sapkota
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Matthew T Myers
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Kathleen E Jordan
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Savanah M Dale
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Nadia Shakoor
- Donald Danforth Plant Science Center, St. Louis, MI 63132, USA
| | - Elizabeth A Cooper
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 27705, USA
| | - Geoffrey P Morris
- Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA
| | - Stephen Kresovich
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
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12
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Hao H, Li Z, Leng C, Lu C, Luo H, Liu Y, Wu X, Liu Z, Shang L, Jing HC. Sorghum breeding in the genomic era: opportunities and challenges. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1899-1924. [PMID: 33655424 PMCID: PMC7924314 DOI: 10.1007/s00122-021-03789-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 02/05/2021] [Indexed: 05/04/2023]
Abstract
The importance and potential of the multi-purpose crop sorghum in global food security have not yet been fully exploited, and the integration of the state-of-art genomics and high-throughput technologies into breeding practice is required. Sorghum, a historically vital staple food source and currently the fifth most important major cereal, is emerging as a crop with diverse end-uses as food, feed, fuel and forage and a model for functional genetics and genomics of tropical grasses. Rapid development in high-throughput experimental and data processing technologies has significantly speeded up sorghum genomic researches in the past few years. The genomes of three sorghum lines are available, thousands of genetic stocks accessible and various genetic populations, including NAM, MAGIC, and mutagenised populations released. Functional and comparative genomics have elucidated key genetic loci and genes controlling agronomical and adaptive traits. However, the knowledge gained has far away from being translated into real breeding practices. We argue that the way forward is to take a genome-based approach for tailored designing of sorghum as a multi-functional crop combining excellent agricultural traits for various end uses. In this review, we update the new concepts and innovation systems in crop breeding and summarise recent advances in sorghum genomic researches, especially the genome-wide dissection of variations in genes and alleles for agronomically important traits. Future directions and opportunities for sorghum breeding are highlighted to stimulate discussion amongst sorghum academic and industrial communities.
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Affiliation(s)
- Huaiqing Hao
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Zhigang Li
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Chuanyuan Leng
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Cheng Lu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hong Luo
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yuanming Liu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaoyuan Wu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Zhiquan Liu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Li Shang
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Hai-Chun Jing
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- Engineering Laboratory for Grass-based Livestock Husbandry, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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13
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Baba S, Hamasaki T, Sawada K, Orita R, Nagano Y, Kimura K, Goto M, Kobayashi G. Breeding sake yeast and identification of mutation patterns by synchrotron light irradiation. J Biosci Bioeng 2021; 132:265-270. [PMID: 34088597 DOI: 10.1016/j.jbiosc.2021.04.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 10/21/2022]
Abstract
Sake yeast is one of the important factors that characterize the aroma and taste of sake. To obtain sake yeast strains with different metabolic capabilities from other strains, breeding of a sake yeast is an effective way. In this study, sake yeast strain Y5201 was mutagenized by synchrotron light irradiation to obtain the mutant strains showing different brewing characteristics from parental strain Y5201, and comparative genome analysis between strain Y5201 and mutant strains was performed to identify mutation points and patterns induced by synchrotron light irradiation. Screening with the drug-resistant and fermentation tests selected the nine mutants (C18, C19, C29, C50, C51, C52, C54, T25, and T49) from the mutagenized Y5201 cells. Principal component analysis results based on the analysis of the small-scale brewing test metabolites showed that the mutant strain C19 was different from other strains, which had higher productivity of ethyl caproate and isoamyl acetate than those of the Y5201. Comparative genome analysis revealed that mutants by synchrotron light irradiation had a higher diversity of single nucleotide substitutions and a higher frequency of Indel (insertion/deletion) in these DNA than ethyl methanesulfonate and UV irradiation. These results suggest that synchrotron light irradiation is an effective and unique mutagen for yeast breeding.
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Affiliation(s)
- Shuichiro Baba
- United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan
| | - Tomohiro Hamasaki
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Kazutaka Sawada
- Industrial Technology Center of SAGA, 114 Nabeshimacho, Saga 849-0932, Japan
| | - Ryo Orita
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Yukio Nagano
- United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan; Analytical Research Center for Experimental Sciences, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Kei Kimura
- United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan; Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Masatoshi Goto
- United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan; Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Genta Kobayashi
- United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan; Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan.
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14
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Dash L, McEwan RE, Montes C, Mejia L, Walley JW, Dilkes BP, Kelley DR. slim shady is a novel allele of PHYTOCHROME B present in the T-DNA line SALK_015201. PLANT DIRECT 2021; 5:e00326. [PMID: 34136747 PMCID: PMC8197431 DOI: 10.1002/pld3.326] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/13/2021] [Accepted: 04/22/2021] [Indexed: 05/06/2023]
Abstract
Auxin is a hormone that is required for hypocotyl elongation during seedling development. In response to auxin, rapid changes in transcript and protein abundance occur in hypocotyls, and some auxin responsive gene expression is linked to hypocotyl growth. To functionally validate proteomic studies, a reverse genetics screen was performed on mutants in auxin-regulated proteins to identify novel regulators of plant growth. This uncovered a long hypocotyl mutant, which we called slim shady, in an annotated insertion line in IMMUNOREGULATORY RNA-BINDING PROTEIN (IRR). Overexpression of the IRR gene failed to rescue the slim shady phenotype and characterization of a second T-DNA allele of IRR found that it had a wild-type (WT) hypocotyl length. The slim shady mutant has an elevated expression of numerous genes associated with the brassinosteroid-auxin-phytochrome (BAP) regulatory module compared to WT, including transcription factors that regulate brassinosteroid, auxin, and phytochrome pathways. Additionally, slim shady seedlings fail to exhibit a strong transcriptional response to auxin. Using whole genome sequence data and genetic complementation analysis with SALK_015201C, we determined that a novel single nucleotide polymorphism in PHYTOCHROME B was responsible for the slim shady phenotype. This is predicted to induce a frameshift and premature stop codon at leucine 1125, within the histidine kinase-related domain of the carboxy terminus of PHYB, which is required for phytochrome signaling and function. Genetic complementation analyses with phyb-9 confirmed that slim shady is a mutant allele of PHYB. This study advances our understanding of the molecular mechanisms in seedling development, by furthering our understanding of how light signaling is linked to auxin-dependent cell elongation. Furthermore, this study highlights the importance of confirming the genetic identity of research material before attributing phenotypes to known mutations sourced from T-DNA stocks.
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Affiliation(s)
- Linkan Dash
- Department of GeneticsDevelopment and Cell BiologyIowa State UniversityAmesIAUSA
| | - Robert E. McEwan
- Center for Plant BiologyPurdue UniversityWest LafayettINUSA
- Department of Horticulture and Landscape ArchitecturePurdue UniversityWest LafayettINUSA
| | - Christian Montes
- Department of Plant Pathology and MicrobiologyIowa State UniversityAmesIAUSA
| | - Ludvin Mejia
- Department of GeneticsDevelopment and Cell BiologyIowa State UniversityAmesIAUSA
| | - Justin W. Walley
- Department of Plant Pathology and MicrobiologyIowa State UniversityAmesIAUSA
| | - Brian P. Dilkes
- Center for Plant BiologyPurdue UniversityWest LafayettINUSA
- Department of Horticulture and Landscape ArchitecturePurdue UniversityWest LafayettINUSA
- Department of BiochemistryPurdue UniversityWest LafayettINUSA
| | - Dior R. Kelley
- Department of GeneticsDevelopment and Cell BiologyIowa State UniversityAmesIAUSA
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15
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Baxter I. We aren't good at picking candidate genes, and it's slowing us down. CURRENT OPINION IN PLANT BIOLOGY 2020; 54:57-60. [PMID: 32106014 DOI: 10.1016/j.pbi.2020.01.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 01/05/2020] [Accepted: 01/28/2020] [Indexed: 05/26/2023]
Abstract
In order to gain a molecular understanding of the genetic basis for plant traits, we need to be able to identify the underlying gene and the causal allele for genetic loci. This process usually involves a step where a researcher selects likely candidate genes from a list. The process of picking candidate genes is inherently prone to distortion due to human bias, and this is slowing down our research enterprise.
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Affiliation(s)
- Ivan Baxter
- Donald Danforth Plant Science Center, United States.
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16
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Griebel S, Westerman RP, Adeyanju A, Addo-Quaye C, Craig BA, Weil CF, Cunningham SM, Patel B, Campanella OH, Tuinstra MR. Mutations in sorghum SBEIIb and SSIIa affect alkali spreading value, starch composition, thermal properties and flour viscosity. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:3357-3374. [PMID: 31624872 PMCID: PMC6820604 DOI: 10.1007/s00122-019-03430-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 09/17/2019] [Indexed: 05/27/2023]
Abstract
Seven novel alleles of SBEIIb and one allele of SSIIa co-segregated with the ASV phenotype and contributed to distinct starch quality traits important for food-processing applications. Sorghum is an important food crop for millions of people in Africa and Asia. Whole-genome re-sequencing of sorghum EMS mutants exhibiting an alkali spreading value (ASV) phenotype revealed candidate SNPs in Sobic.004G163700 and Sobic.010G093400. Comparative genomics identified Sobic.010G093400 as a starch synthase IIa and Sobic.004G163700 as a starch branching enzyme IIb. Segregation analyses showed that mutations in Sobic.010G093400 or Sobic.004G163700 co-segregated with the ASV phenotype. Mutants in SSIIa exhibited no change in amylose content but expressed lower final viscosity and lower starch gelatinization temperature (GT) than starches from non-mutant plants. The sbeIIb mutants exhibited significantly higher amylose levels and starch GT and lower viscosity compared to non-mutant starches and ssIIa mutants. Mutations in SBEIIb had a dosage-dependent effect on amylose content. Double mutants of sbeIIb and ssIIa resembled their sbeIIb parent in amylose content, starch thermal properties and viscosity profiles. These variants will provide opportunities to produce sorghum varieties with modified starch end-use qualities important for the beer brewing and baking industries and specialty foods for humans with diabetes.
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Affiliation(s)
- Stefanie Griebel
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Richard P Westerman
- College of Agriculture Administration, Purdue University, West Lafayette, IN, 47907, USA
| | - Adedayo Adeyanju
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Charles Addo-Quaye
- Division Natural Sciences and Mathematics, Lewis-Clark State College, Lewiston, ID, 83501, USA
| | - Bruce A Craig
- Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA
| | - Clifford F Weil
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Suzanne M Cunningham
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA
| | - Bhavesh Patel
- Whistler Carbohydrate Research Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Osvaldo H Campanella
- Whistler Carbohydrate Research Center, Purdue University, West Lafayette, IN, 47907, USA
- Department of Food Science and Technology, The Ohio State University, Columbus, OH, 43210-1007, USA
| | - Mitchell R Tuinstra
- Department of Agronomy, Purdue University, Lilly Hall of Life Sciences, 915 W State Street, West Lafayette, IN, 47907, USA.
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17
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Griebel S, Webb MM, Campanella OH, Craig BA, Weil CF, Tuinstra MR. The alkali spreading phenotype in Sorghum bicolor and its relationship to starch gelatinization. J Cereal Sci 2019. [DOI: 10.1016/j.jcs.2019.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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18
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Boyles RE, Brenton ZW, Kresovich S. Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 97:19-39. [PMID: 30260043 DOI: 10.1111/tpj.14113] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 08/30/2018] [Accepted: 09/03/2018] [Indexed: 05/10/2023]
Abstract
With the recent development of genomic resources and high-throughput phenotyping platforms, the 21st century is primed for major breakthroughs in the discovery, understanding and utilization of plant genetic variation. Significant advances in agriculture remain at the forefront to increase crop production and quality to satisfy the global food demand in a changing climate all while reducing the environmental impacts of the world's food production. Sorghum, a resilient C4 grain and grass important for food and energy production, is being extensively dissected genetically and phenomically to help connect the relationship between genetic and phenotypic variation. Unlike genetically modified crops such as corn or soybean, sorghum improvement has relied heavily on public research; thus, many of the genetic resources serve a dual purpose for both academic and commercial pursuits. Genetic and genomic resources not only provide the foundation to identify and understand the genes underlying variation, but also serve as novel sources of genetic and phenotypic diversity in plant breeding programs. To better disseminate the collective information of this community, we discuss: (i) the genomic resources of sorghum that are at the disposal of the research community; (ii) the suite of sorghum traits as potential targets for increasing productivity in contrasting environments; and (iii) the prospective approaches and technologies that will help to dissect the genotype-phenotype relationship as well as those that will apply foundational knowledge for sorghum improvement.
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Affiliation(s)
- Richard E Boyles
- Pee Dee Research and Education Center, Clemson University, 2200 Pocket Rd, Florence, SC, 29506, USA
- Advanced Plant Technology Program, Clemson University, 105 Collings St, Clemson, SC, 29634, USA
| | - Zachary W Brenton
- Advanced Plant Technology Program, Clemson University, 105 Collings St, Clemson, SC, 29634, USA
- Department of Plant and Environment Sciences, Clemson University, 171 Poole Agricultural Center, Clemson, SC, 29634, USA
| | - Stephen Kresovich
- Advanced Plant Technology Program, Clemson University, 105 Collings St, Clemson, SC, 29634, USA
- Department of Plant and Environment Sciences, Clemson University, 171 Poole Agricultural Center, Clemson, SC, 29634, USA
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19
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Li Y, Mehta R, Messing J. A new high-throughput assay for determining soluble sugar in sorghum internode-extracted juice. PLANTA 2018; 248:785-793. [PMID: 29948129 DOI: 10.1007/s00425-018-2932-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 05/31/2018] [Indexed: 05/08/2023]
Abstract
A high-throughput method combining liquid handling system and 96-well microplate pipetting format was developed for total sugar determination. With this new method, we characterized diverse sugar accumulation in sorghum varieties. Sweet sorghum accumulates large amounts of sucrose in its stalk and, therefore, has emerged as one important bioenergy crop. The commonly used sugar measurement, Brix, limits the characterization of internode variation of the sugar concentrations due to its low throughput. Here we developed a low-cost, high-throughput method to determine profiles of total sugars in sorghum internodes with a liquid handling system-based sample preparation and a phenol-sulfuric acid assay in 96-well microplate format. The present method generates results highly correlated with commonly used Brix measurements (r = 0.922). The inter-assay coefficient of variation ranged from 4.8 to 7.6%. The present method can reliably estimate mixed sugars composed of 80% sucrose. We characterized the profiles of 35 sorghum accessions and identified 21 accessions with significantly different sugar concentrations between internodes either due to dried-up internodes or concentration differences. As a high-throughput alternative to Brix measurements, the new method makes it possible to phenotype total sugars from large numbers of internode samples and, therefore, will be useful for genetic and breeding purposes.
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Affiliation(s)
- Yin Li
- Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Rushabh Mehta
- Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Joachim Messing
- Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
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