1
|
Khan A, Tian R, Bean SR, Yerka M, Jiao Y. Transcriptome and metabolome analyses reveal regulatory networks associated with nutrition synthesis in sorghum seeds. Commun Biol 2024; 7:841. [PMID: 38987396 PMCID: PMC11237005 DOI: 10.1038/s42003-024-06525-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 06/28/2024] [Indexed: 07/12/2024] Open
Abstract
Cereal seeds are vital for food, feed, and agricultural sustainability because they store and provide essential nutrients to human and animal food and feed systems. Unraveling molecular processes in seed development is crucial for enhancing cereal grain yield and quality. We analyze spatiotemporal transcriptome and metabolome profiles during sorghum seed development in the inbred line 'BTx623'. Morphological and molecular analyses identify the key stages of seed maturation, specifying starch biosynthesis onset at 5 days post-anthesis (dpa) and protein at 10 dpa. Transcriptome profiling from 1 to 25 dpa reveal dynamic gene expression pathways, shifting from cellular growth and embryo development (1-5 dpa) to cell division, fatty acid biosynthesis (5-25 dpa), and seed storage compounds synthesis in the endosperm (5-25 dpa). Network analysis identifies 361 and 207 hub genes linked to starch and protein synthesis in the endosperm, respectively, which will help breeders enhance sorghum grain quality. The availability of this data in the sorghum reference genome line establishes a baseline for future studies as new pangenomes emerge, which will consider copy number and presence-absence variation in functional food traits.
Collapse
Affiliation(s)
- Adil Khan
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, 79409, USA
| | - Ran Tian
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, 79409, USA
| | - Scott R Bean
- Grain Quality and Structure Research Unit, Center for Grain and Animal Health Research, USDA-ARS, 1515 College Ave, Manhattan, KS, 66502, USA
| | - Melinda Yerka
- Department of Agriculture, Veterinary & Rangeland Sciences, University of Nevada-Reno, Reno, NV, 89557, USA
| | - Yinping Jiao
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, 79409, USA.
| |
Collapse
|
2
|
Li X, Wu ME, Zhang J, Xu J, Diao Y, Li Y. The OsCLV2s-OsCRN1 co-receptor regulates grain shape in rice. J Genet Genomics 2024; 51:691-702. [PMID: 38575110 DOI: 10.1016/j.jgg.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/29/2024] [Accepted: 03/29/2024] [Indexed: 04/06/2024]
Abstract
The highly conserved CLV-WUS negative feedback pathway plays a decisive role in regulating stem cell maintenance in shoot and floral meristems in higher plants, including Arabidopsis, rice, maize, and tomato. Here, we find significant natural variations in the OsCLV2c, OsCLV2d, and OsCRN1 loci in a genome-wide association study of grain shape in rice. OsCLV2a, OsCLV2c, OsCLV2d, and OsCRN1 negatively regulate grain length-width ratio and show distinctive geographical distribution, indica-japonica differentiation, and artificial selection signatures. Notably, OsCLV2a and OsCRN1 interact biochemically and genetically, suggesting that the two components function in a complex to regulate grain shape of rice. Furthermore, the genetic contributions of the haplotypes combining OsCLV2a, OsCLV2c, and OsCRN1 are significantly higher than those of each single gene alone in controlling key yield traits. These findings identify two groups of receptor-like kinases that may function as distinct co-receptors to control grain size in rice, thereby revealing a previously unrecognized role of the CLV class genes in regulating seed development and proposing a framework to understand the molecular mechanisms of the CLV-WUS pathway in rice and other crops.
Collapse
Affiliation(s)
- Xingxing Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China
| | - Meng-En Wu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China
| | - Juncheng Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China
| | - Jingyue Xu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China
| | - Yuanfei Diao
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China
| | - Yibo Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China.
| |
Collapse
|
3
|
Macelline SP, Godwin ID, Liu G, Restall J, Cantor DI, McInerney BV, Toghyani M, Chrystal PV, Selle PH, Liu SY. Transgenic, high-protein sorghums display promise in poultry diets in an initial comparison. Poult Sci 2024; 103:103698. [PMID: 38657523 PMCID: PMC11063504 DOI: 10.1016/j.psj.2024.103698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/17/2024] [Accepted: 03/26/2024] [Indexed: 04/26/2024] Open
Abstract
This study aimed to compare the inclusion of transgenic sorghums against commercially available sorghums on growth performance in broiler chickens. Isonitrogenous and isoenergetic diets were offered to a total 288 male Ross 308 broiler chickens from 14 to 35 d posthatch. Three dietary treatments were diets based on transgenic sorghums with a mean protein content of 154.7 g/kg and 5 treatments were based on commercially available sorghum hybrids with a mean protein content of 90.6 g/kg. Soybean meal inclusions in the commercial sorghum diets averaged 215 g/kg, which was reduced to 171 g/kg in the transgenic sorghum diets because of the higher protein contents. Overall growth performance was highly satisfactory, and commercial sorghums supported 2.55% (2,330 vs. 2,272 g/bird; P = 0.010) more weight gains and 2.74% (2,929 vs. 2,851 g/bird; P = 0.012) higher feed intakes; however, the transgenic sorghums supported a fractionally better FCR (1.255 vs 1.257; P = 0.826). There were no statistical differences in apparent jejunal and ileal starch and protein (N) digestibility coefficients between treatments. The transgenic sorghum diets generated slightly, but significantly, higher AME:GE ratios and AMEn, but the commercial sorghum diets generated 6.33% (235 vs. 221 g/kg; P < 0.001) greater breast meat yields. Apparent ileal digestibility coefficients of 16 amino acids averaged 0.839 and 0.832 for transgenic and commercial sorghum-based diets, respectively, without any significant differences in individual amino acids. This outcome suggests amino acid digestibilities of the transgenic sorghums may be inherently higher than commercial hybrid sorghums as the 25.7% higher average soybean meal inclusions would have advantaged amino acid digestibilities in commercial sorghum diets. The possibility that the digestibilities of amino acids in the kafirin component of transgenic sorghums was enhanced by modifications to the structure of kafirin protein bodies is discussed. In conclusion, transgenic sorghums with higher protein concentrations led to 20.5% reduction of soybean meal inclusions in broiler diets, and this change did not compromise feed conversion efficiency compared to standard commercial hybrid sorghums.
Collapse
Affiliation(s)
- Shemil P Macelline
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, New South Wales 2006; Poultry Research Foundation, The University of Sydney, Camden, New South Wales 2570, Australia
| | - Ian D Godwin
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Guoquan Liu
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Jemma Restall
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - David I Cantor
- Australian Proteome Analysis Facility, Macquarie University, Sydney, New South Wales, Australia
| | - Bernard V McInerney
- Australian Proteome Analysis Facility, Macquarie University, Sydney, New South Wales, Australia
| | - Mehdi Toghyani
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, New South Wales 2006; Poultry Research Foundation, The University of Sydney, Camden, New South Wales 2570, Australia
| | | | - Peter H Selle
- Poultry Research Foundation, The University of Sydney, Camden, New South Wales 2570, Australia; Sydney School of Veterinary Science, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Sonia Yun Liu
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, New South Wales 2006.
| |
Collapse
|
4
|
Haq SAU, Bashir T, Roberts TH, Husaini AM. Ameliorating the effects of multiple stresses on agronomic traits in crops: modern biotechnological and omics approaches. Mol Biol Rep 2023; 51:41. [PMID: 38158512 DOI: 10.1007/s11033-023-09042-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 10/13/2023] [Indexed: 01/03/2024]
Abstract
While global climate change poses a significant environmental threat to agriculture, the increasing population is another big challenge to food security. To address this, developing crop varieties with increased productivity and tolerance to biotic and abiotic stresses is crucial. Breeders must identify traits to ensure higher and consistent yields under inconsistent environmental challenges, possess resilience against emerging biotic and abiotic stresses and satisfy customer demands for safer and more nutritious meals. With the advent of omics-based technologies, molecular tools are now integrated with breeding to understand the molecular genetics of genotype-based traits and develop better climate-smart crops. The rapid development of omics technologies offers an opportunity to generate novel datasets for crop species. Identifying genes and pathways responsible for significant agronomic traits has been made possible by integrating omics data with genetic and phenotypic information. This paper discusses the importance and use of omics-based strategies, including genomics, transcriptomics, proteomics and phenomics, for agricultural and horticultural crop improvement, which aligns with developing better adaptability in these crop species to the changing climate conditions.
Collapse
Affiliation(s)
- Syed Anam Ul Haq
- Genome Engineering and Societal Biotechnology Lab, Division of Plant Biotechnology, SKUAST-K, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Tanzeel Bashir
- Genome Engineering and Societal Biotechnology Lab, Division of Plant Biotechnology, SKUAST-K, Shalimar, Srinagar, Jammu and Kashmir, 190025, India
| | - Thomas H Roberts
- Plant Breeding Institute, School of Life and Environmental Sciences, Faculty of Science, Sydney Institute of Agriculture, The University of Sydney, Eveleigh, Australia
| | - Amjad M Husaini
- Genome Engineering and Societal Biotechnology Lab, Division of Plant Biotechnology, SKUAST-K, Shalimar, Srinagar, Jammu and Kashmir, 190025, India.
| |
Collapse
|
5
|
Ramalingam AP, Mohanavel W, Kambale R, Rajagopalan VR, Marla SR, Prasad PVV, Muthurajan R, Perumal R. Pilot-scale genome-wide association mapping in diverse sorghum germplasms identified novel genetic loci linked to major agronomic, root and stomatal traits. Sci Rep 2023; 13:21917. [PMID: 38081914 PMCID: PMC10713643 DOI: 10.1038/s41598-023-48758-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
This genome-wide association studies (GWAS) used a subset of 96 diverse sorghum accessions, constructed from a large collection of 219 accessions for mining novel genetic loci linked to major agronomic, root morphological and physiological traits. The subset yielded 43,452 high quality single nucleotide polymorphic (SNP) markers exhibiting high allelic diversity. Population stratification showed distinct separation between caudatum and durra races. Linkage disequilibrium (LD) decay was rapidly declining with increasing physical distance across all chromosomes. The initial 50% LD decay was ~ 5 Kb and background level was within ~ 80 Kb. This study detected 42 significant quantitative trait nucleotide (QTNs) for different traits evaluated using FarmCPU, SUPER and 3VmrMLM which were in proximity with candidate genes related and were co-localized in already reported quantitative trait loci (QTL) and phenotypic variance (R2) of these QTNs ranged from 3 to 20%. Haplotype validation of the candidate genes from this study resulted nine genes showing significant phenotypic difference between different haplotypes. Three novel candidate genes associated with agronomic traits were validated including Sobic.001G499000, a potassium channel tetramerization domain protein for plant height, Sobic.010G186600, a nucleoporin-related gene for dry biomass, and Sobic.002G022600 encoding AP2-like ethylene-responsive transcription factor for plant yield. Several other candidate genes were validated and associated with different root and physiological traits including Sobic.005G104100, peroxidase 13-related gene with root length, Sobic.010G043300, homologous to Traes_5BL_8D494D60C, encoding inhibitor of apoptosis with iWUE, and Sobic.010G125500, encoding zinc finger, C3HC4 type domain with Abaxial stomatal density. In this study, 3VmrMLM was more powerful than FarmCPU and SUPER for detecting QTNs and having more breeding value indicating its reliable output for validation. This study justified that the constructed subset of diverse sorghums can be used as a panel for mapping other key traits to accelerate molecular breeding in sorghum.
Collapse
Affiliation(s)
- Ajay Prasanth Ramalingam
- Tamil Nadu Agricultural University, Coimbatore, India
- Department of Agronomy, Kansas State University, Manhattan, KS, USA
| | | | - Rohit Kambale
- Tamil Nadu Agricultural University, Coimbatore, India
| | | | - Sandeep R Marla
- Department of Agronomy, Kansas State University, Manhattan, KS, USA
| | - P V Vara Prasad
- Department of Agronomy, Kansas State University, Manhattan, KS, USA
| | | | - Ramasamy Perumal
- Agricultural Research Center, Kansas State University, Hays, KS, USA.
| |
Collapse
|
6
|
Mohanasundaram B, Pandey S. Moving beyond the arabidopsis-centric view of G-protein signaling in plants. TRENDS IN PLANT SCIENCE 2023; 28:1406-1421. [PMID: 37625950 DOI: 10.1016/j.tplants.2023.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 07/24/2023] [Accepted: 07/28/2023] [Indexed: 08/27/2023]
Abstract
Heterotrimeric G-protein-mediated signaling is a key mechanism to transduce a multitude of endogenous and environmental signals in diverse organisms. The scope and expectations of plant G-protein research were set by pioneering work in metazoans. Given the similarity of the core constituents, G-protein-signaling mechanisms were presumed to be universally conserved. However, because of the enormous diversity of survival strategies and endless forms among eukaryotes, the signal, its interpretation, and responses vary even among different plant groups. Earlier G-protein research in arabidopsis (Arabidopsis thaliana) has emphasized its divergence from Metazoa. Here, we compare recent evidence from diverse plant lineages with the available arabidopsis G-protein model and discuss the conserved and novel protein components, signaling mechanisms, and response regulation.
Collapse
Affiliation(s)
| | - Sona Pandey
- Donald Danforth Plant Science Center, 975 N. Warson Road, St Louis, MO 63132, USA.
| |
Collapse
|
7
|
Zheng H, Dang Y, Sui N. Sorghum: A Multipurpose Crop. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:17570-17583. [PMID: 37933850 DOI: 10.1021/acs.jafc.3c04942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Sorghum (Sorghum bicolor L.) is one of the top five cereal crops in the world in terms of production and planting area and is widely grown in areas with severe abiotic stresses such as drought and saline-alkali land due to its excellent stress resistance. Moreover, sorghum is a rare multipurpose crop that can be classified into grain sorghum, energy sorghum, and silage sorghum according to its domestication direction and utilization traits, endowing it with broad breeding and economic value. In this review, we mainly discuss the latest research progress and regulatory genes of agronomic traits of sorghum as a grain, energy, and silage crop, as well as the future improvement direction of multipurpose sorghum. We also emphasize the feasibility of cultivating multipurpose sorghum through genetic engineering methods by exploring potential targets using wild sorghum germplasm and genetic resources, as well as genomic resources.
Collapse
Affiliation(s)
- Hongxiang Zheng
- Shandong Provincial Key Laboratory of Plant Stress, College of life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Yingying Dang
- Shandong Provincial Key Laboratory of Plant Stress, College of life Sciences, Shandong Normal University, Jinan, 250014, China
- Dongying Institute, Shandong Normal University, Dongying, 257000, China
| | - Na Sui
- Shandong Provincial Key Laboratory of Plant Stress, College of life Sciences, Shandong Normal University, Jinan, 250014, China
| |
Collapse
|
8
|
Liu Q, Tao Y, Ruan YL. How does AT1 increase crop productivity under alkaline stress? TRENDS IN PLANT SCIENCE 2023; 28:1211-1213. [PMID: 37580225 DOI: 10.1016/j.tplants.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 08/16/2023]
Abstract
Alkalinity constrains crop production. Recently, Zhang et al. reported a negative regulator, Alkaline Tolerance 1 (AT1), attenuating phosphorylation of plasma membrane intrinsic protein (PIP2) to block efflux of intracellular reactive oxygen species (ROS) under alkaline stress and boosting yield of cereal crops by 20-30%. However, further efforts are needed to exploit the application of AT1 in breeding alkaline-tolerant crops.
Collapse
Affiliation(s)
- Qingqing Liu
- College of Agriculture, Henan University of Science and Technology, Luoyang 471023, China
| | - Yongfu Tao
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China.
| | - Yong-Ling Ruan
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Horticulture, Northwest A & F University, Yangling, Shaanxi 712100, China; Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra ACT 2601, Australia.
| |
Collapse
|
9
|
Menamo T, Borrell AK, Mace E, Jordan DR, Tao Y, Hunt C, Kassahun B. Genetic dissection of root architecture in Ethiopian sorghum landraces. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:209. [PMID: 37715848 DOI: 10.1007/s00122-023-04457-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 08/28/2023] [Indexed: 09/18/2023]
Abstract
KEY MESSAGE This study quantified genetic variation in root system architecture (root number, angle, length and dry mass) within a diversity panel of 1771 Ethiopian sorghum landraces and identified 22 genomic regions associated with the root variations. The root system architecture (RSA) of crop plants influences adaptation to water-limited conditions and determines the capacity of a plant to access soil water and nutrients. Four key root traits (number, angle, length and dry mass) were evaluated in a diversity panel of 1771 Ethiopian sorghum landraces using purpose-built root chambers. Significant genetic variation was observed in all studied root traits, with nodal root angle ranging from 16.4° to 26.6°, with a high repeatability of 78.9%. Genome wide association studies identified a total of 22 genomic regions associated with root traits which were distributed on all chromosomes except chromosome SBI-10. Among the 22 root genomic regions, 15 co-located with RSA trait QTL previously identified in sorghum, with the remaining seven representing novel RSA QTL. The majority (85.7%) of identified root angle QTL also co-localized with QTL previously identified for stay-green in sorghum. This suggests that the stay-green phenotype might be associated with root architecture that enhances water extraction during water stress conditions. The results open avenues for manipulating root phenotypes to improve productivity in abiotic stress environments via marker-assisted selection.
Collapse
Affiliation(s)
- Temesgen Menamo
- College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia
| | - Andrew K Borrell
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, Hermitage Research Facility, Warwick, QLD, 4370, Australia
- Agri-Science Queensland, Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - David R Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - Colleen Hunt
- Agri-Science Queensland, Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - Bantte Kassahun
- College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia.
| |
Collapse
|
10
|
Ermakova M, Woodford R, Taylor Z, Furbank RT, Belide S, von Caemmerer S. Faster induction of photosynthesis increases biomass and grain yield in glasshouse-grown transgenic Sorghum bicolor overexpressing Rieske FeS. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1206-1216. [PMID: 36789455 DOI: 10.1111/pbi.14030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 02/08/2023] [Indexed: 05/27/2023]
Abstract
Sorghum is one of the most important crops providing food and feed in many of the world's harsher environments. Sorghum utilizes the C4 pathway of photosynthesis in which a biochemical carbon-concentrating mechanism results in high CO2 assimilation rates. Overexpressing the Rieske FeS subunit of the Cytochrome b6 f complex was previously shown to increase the rate of photosynthetic electron transport and stimulate CO2 assimilation in the model C4 plant Setaria viridis. To test whether productivity of C4 crops could be improved by Rieske overexpression, we created transgenic Sorghum bicolor Tx430 plants with increased Rieske content. The transgenic plants showed no marked changes in abundances of other photosynthetic proteins or chlorophyll content. The steady-state rates of electron transport and CO2 assimilation did not differ between the plants with increased Rieske abundance and control plants, suggesting that Cytochrome b6 f is not the only factor limiting electron transport in sorghum at high light and high CO2 . However, faster responses of non-photochemical quenching as well as an elevated quantum yield of Photosystem II and an increased CO2 assimilation rate were observed from the plants overexpressing Rieske during the photosynthetic induction, a process of activation of photosynthesis upon the dark-light transition. As a consequence, sorghum with increased Rieske content produced more biomass and grain when grown in glasshouse conditions. Our results indicate that increasing Rieske content has potential to boost productivity of sorghum and other C4 crops by improving the efficiency of light utilization and conversion to biomass through the faster induction of photosynthesis.
Collapse
Affiliation(s)
- Maria Ermakova
- Centre of Excellence for Translational Photosynthesis, Division of Plant Science, Research School of Biology, The Australian National University, Acton, ACT, Australia
- School of Biological Sciences, Monash University, Melbourne, Vic, Australia
| | - Russell Woodford
- Centre of Excellence for Translational Photosynthesis, Division of Plant Science, Research School of Biology, The Australian National University, Acton, ACT, Australia
| | - Zachary Taylor
- Centre of Excellence for Translational Photosynthesis, Division of Plant Science, Research School of Biology, The Australian National University, Acton, ACT, Australia
- Max Planck Institute of Molecular Plant Physiology, Potsdam, Brandenburg, Germany
| | - Robert T Furbank
- Centre of Excellence for Translational Photosynthesis, Division of Plant Science, Research School of Biology, The Australian National University, Acton, ACT, Australia
| | | | - Susanne von Caemmerer
- Centre of Excellence for Translational Photosynthesis, Division of Plant Science, Research School of Biology, The Australian National University, Acton, ACT, Australia
| |
Collapse
|
11
|
Baloch FS, Altaf MT, Liaqat W, Bedir M, Nadeem MA, Cömertpay G, Çoban N, Habyarimana E, Barutçular C, Cerit I, Ludidi N, Karaköy T, Aasim M, Chung YS, Nawaz MA, Hatipoğlu R, Kökten K, Sun HJ. Recent advancements in the breeding of sorghum crop: current status and future strategies for marker-assisted breeding. Front Genet 2023; 14:1150616. [PMID: 37252661 PMCID: PMC10213934 DOI: 10.3389/fgene.2023.1150616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 04/17/2023] [Indexed: 05/31/2023] Open
Abstract
Sorghum is emerging as a model crop for functional genetics and genomics of tropical grasses with abundant uses, including food, feed, and fuel, among others. It is currently the fifth most significant primary cereal crop. Crops are subjected to various biotic and abiotic stresses, which negatively impact on agricultural production. Developing high-yielding, disease-resistant, and climate-resilient cultivars can be achieved through marker-assisted breeding. Such selection has considerably reduced the time to market new crop varieties adapted to challenging conditions. In the recent years, extensive knowledge was gained about genetic markers. We are providing an overview of current advances in sorghum breeding initiatives, with a special focus on early breeders who may not be familiar with DNA markers. Advancements in molecular plant breeding, genetics, genomics selection, and genome editing have contributed to a thorough understanding of DNA markers, provided various proofs of the genetic variety accessible in crop plants, and have substantially enhanced plant breeding technologies. Marker-assisted selection has accelerated and precised the plant breeding process, empowering plant breeders all around the world.
Collapse
Affiliation(s)
- Faheem Shehzad Baloch
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Muhammad Tanveer Altaf
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Waqas Liaqat
- Department of Field Crops, Faculty of Agriculture, Çukurova University, Adana, Türkiye
| | - Mehmet Bedir
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Muhammad Azhar Nadeem
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Gönül Cömertpay
- Eastern Mediterranean Agricultural Research Institute, Adana, Türkiye
| | - Nergiz Çoban
- Eastern Mediterranean Agricultural Research Institute, Adana, Türkiye
| | - Ephrem Habyarimana
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
| | - Celaleddin Barutçular
- Department of Field Crops, Faculty of Agriculture, Çukurova University, Adana, Türkiye
| | - Ibrahim Cerit
- Eastern Mediterranean Agricultural Research Institute, Adana, Türkiye
| | - Ndomelele Ludidi
- Plant Stress Tolerance Laboratory, Department of Biotechnology, University of the Western Cape, Bellville, South Africa
- DSI-NRF Centre of Excellence in Food Security, University of the Western Cape, Bellville, South Africa
| | - Tolga Karaköy
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Muhammad Aasim
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Yong Suk Chung
- Department of Plant Resources and Environment, Jeju National University, Jeju, Republic of Korea
| | | | - Rüştü Hatipoğlu
- Kırşehir Ahi Evran Universitesi Ziraat Fakultesi Tarla Bitkileri Bolumu, Kırşehir, Türkiye
| | - Kağan Kökten
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye
| | - Hyeon-Jin Sun
- Subtropical Horticulture Research Institute, Jeju National University, Jeju, Republic of Korea
| |
Collapse
|
12
|
Al-Salman Y, Ghannoum O, Cano FJ. Elevated [CO2] negatively impacts C4 photosynthesis under heat and water stress without penalizing biomass. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:2875-2890. [PMID: 36800252 PMCID: PMC10401618 DOI: 10.1093/jxb/erad063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 02/15/2023] [Indexed: 06/06/2023]
Abstract
Elevated [CO2] (eCO2) and water stress reduce leaf stomatal conductance (gs), which may affect leaf thermoregulation during heat waves (heat stress). Two sorghum lines, with different leaf width were grown in a glasshouse at a mean day temperature of 30 °C, under different [CO2] and watering levels, and subjected to heat stress (43 °C) for 6 d at the start of the reproductive stage. We measured leaf photosynthetic and stomatal responses to light transients before harvesting the plants. Photosynthesis at growth conditions (Agrowth) and biomass accumulation were enhanced by eCO2 under control conditions. Heat stress increased gs, especially in wider leaves, and reduced the time constant of stomatal opening (kopen) at ambient [CO2] but not eCO2. However, heat stress reduced photosynthesis under water stress and eCO2 due to increased leaf temperature and reduced evaporative cooling. eCO2 prevented the reduction of biomass under both water and heat stress, possibly due to improved plant and soil water status as a result of reduced gs. Our results suggest that the response of the C4 crop sorghum to future climate conditions depends on the trade-off between low gs needed for high water use efficiency and drought tolerance, and the high gs needed for improved thermoregulation and heat tolerance under an eCO2 future.
Collapse
Affiliation(s)
- Yazen Al-Salman
- ARC Centre of Excellence for Translational Photosynthesis, Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Oula Ghannoum
- ARC Centre of Excellence for Translational Photosynthesis, Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Francisco Javier Cano
- ARC Centre of Excellence for Translational Photosynthesis, Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
- Instituto de Ciencias Forestales (ICIFOR-INIA), CSIC, Carretera de la Coruña km 7.5, 28040, Madrid, Spain
| |
Collapse
|
13
|
Zhang Y, Fan X, Liang D, Guo Q, Zhang X, Nie M, Li C, Meng S, Zhang X, Xu P, Guo W, Wang H, Liu Q, Wu Y. The Identification of a Yield-Related Gene Controlling Multiple Traits Using GWAS in Sorghum ( Sorghum bicolor L.). PLANTS (BASEL, SWITZERLAND) 2023; 12:1557. [PMID: 37050183 PMCID: PMC10097259 DOI: 10.3390/plants12071557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 06/19/2023]
Abstract
Sorghum bicolor (L.) is one of the oldest crops cultivated by human beings which has been used in food and wine making. To understand the genetic diversity of sorghum breeding resources and further guide molecular-marker-assisted breeding, six yield-related traits were analyzed for 214 sorghum germplasm from all over the world, and 2,811,016 single-nucleotide polymorphisms (SNPs) markers were produced by resequencing these germplasms. After controlling Q and K, QTLs were found to be related to the traits using three algorisms. Interestingly, an important QTL was found which may affect multiple traits in this study. It was the most likely candidate gene for the gene SORBI_3008G116500, which was a homolog of Arabidopsis thaliana gene-VIP5 found by analyzing the annotation of the gene in the LD block. The haplotype analysis showed that the SORBI_3008G116500hap3 was the elite haplotype, and it only existed in Chinese germplasms. The traits were proven to be more associated with the SNPs of the SORBI_3008G116500 promoter through gene association studies. Overall, the QTLs and the genes identified in this study would benefit molecular-assisted yield breeding in sorghum.
Collapse
Affiliation(s)
- Yizhong Zhang
- College of Agriculture, Shanxi Agricultural University, Taigu 030801, China
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Xinqi Fan
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Du Liang
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Qi Guo
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Xiaojuan Zhang
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Mengen Nie
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Chunhong Li
- Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Shan Meng
- Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xianggui Zhang
- Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Peng Xu
- Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Wenqi Guo
- Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Huiyan Wang
- College of Agriculture, Shanxi Agricultural University, Taigu 030801, China
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci 030600, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Qingshan Liu
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture (In Preparation), Shanxi Agricultural University, Taiyuan 030031, China
| | - Yuxiang Wu
- College of Agriculture, Shanxi Agricultural University, Taigu 030801, China
| |
Collapse
|
14
|
Zhang H, Yu F, Xie P, Sun S, Qiao X, Tang S, Chen C, Yang S, Mei C, Yang D, Wu Y, Xia R, Li X, Lu J, Liu Y, Xie X, Ma D, Xu X, Liang Z, Feng Z, Huang X, Yu H, Liu G, Wang Y, Li J, Zhang Q, Chen C, Ouyang Y, Xie Q. A Gγ protein regulates alkaline sensitivity in crops. Science 2023; 379:eade8416. [PMID: 36952416 DOI: 10.1126/science.ade8416] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
Abstract
The use of alkaline salt lands for crop production is hindered by a scarcity of knowledge and breeding efforts for plant alkaline tolerance. Through genome association analysis of sorghum, a naturally high-alkaline-tolerant crop, we detected a major locus, Alkaline Tolerance 1 (AT1), specifically related to alkaline-salinity sensitivity. An at1 allele with a carboxyl-terminal truncation increased sensitivity, whereas knockout of AT1 increased tolerance to alkalinity in sorghum, millet, rice, and maize. AT1 encodes an atypical G protein γ subunit that affects the phosphorylation of aquaporins to modulate the distribution of hydrogen peroxide (H2O2). These processes appear to protect plants against oxidative stress by alkali. Designing knockouts of AT1 homologs or selecting its natural nonfunctional alleles could improve crop productivity in sodic lands.
Collapse
Affiliation(s)
- Huili Zhang
- 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
- Breeding Base of State Key Laboratory of Land Degradation and Ecological Restoration of North Western China, School of Agriculture, Ningxia University, Yinchuan 750021, China
| | - Feifei Yu
- 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 Grassland Science and Technology, China Agricultural University, Beijing 100083, China
| | - Peng 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
| | - Shengyuan Sun
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
- Jiangsu Key Laboratory of Crop Genetics and Physiology and Co-Innovation Center for Modern Production Technology of Grain Crops, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou 225009, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, 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
| | - Chengxuan Chen
- 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
| | - Sen Yang
- 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
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cuo Mei
- 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
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dekai Yang
- 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
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaorong Wu
- 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
| | - Ran Xia
- 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
| | - Xu Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Jun Lu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Yuxi Liu
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaowei Xie
- Breeding Base of State Key Laboratory of Land Degradation and Ecological Restoration of North Western China, School of Agriculture, Ningxia University, Yinchuan 750021, China
| | - Dongmei Ma
- Breeding Base of State Key Laboratory of Land Degradation and Ecological Restoration of North Western China, School of Agriculture, Ningxia University, Yinchuan 750021, China
| | - Xing Xu
- Breeding Base of State Key Laboratory of Land Degradation and Ecological Restoration of North Western China, School of Agriculture, Ningxia University, Yinchuan 750021, China
| | - Zhengwei Liang
- Northeast Institute of Geography and Agroecology, Daan National Station for Agro-ecosystem Observation and Research, Chinese Academy of Sciences, Changchun 130102, China
| | - Zhonghui Feng
- University of Chinese Academy of Sciences, Beijing 100049, China
- Northeast Institute of Geography and Agroecology, Daan National Station for Agro-ecosystem Observation and Research, Chinese Academy of Sciences, Changchun 130102, China
| | - Xiahe Huang
- 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
| | - Hong Yu
- 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
| | - Guifu Liu
- 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
| | - Yingchun Wang
- 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
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiayang Li
- 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
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qifa Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yidan Ouyang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, 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
- University of Chinese Academy of Sciences, Beijing 100049, China
- National Center of Technology Innovation for Maize, State Key Laboratory of Maize Germplasm Innovation and Molecular Breeding, Syngenta Group China, Beijing 102206, China
| |
Collapse
|
15
|
Zhang L, Xu J, Ding Y, Cao N, Gao X, Feng Z, Li K, Cheng B, Zhou L, Ren M, Tao Y, Zou G. GWAS of grain color and tannin content in Chinese sorghum based on whole-genome sequencing. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:77. [PMID: 36952041 PMCID: PMC10036430 DOI: 10.1007/s00122-023-04307-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
Seventy-three QTL related to grain color and tannin content were identified in Chinese sorghum accessions, and a new recessive allelic variant of TAN2 gene was discovered. Sorghum is mainly used for brewing distilled liquors in China. Since grain tannins play an important role in liquor brewing, accurately understanding the relationship between grain color and tannin content can provide basis for selection standards of tannin sorghum. We resequenced a panel of 242 Chinese sorghum accessions and performed population structure and genome-wide association study (GWAS) to identify quantitative trait locus (QTL) affecting pericarp color, testa pigment, and tannin content. Phylogenetic analysis, principal component analysis (PCA), and admixture model were used to infer population structure. Two distinct genetic sub-populations were identified according to their corresponding northern and southern geographic origin. To investigate the genetic basis of natural variation in sorghum grain color, GWAS with 2,760,264 SNPs was conducted in four environments using multiple models (Blink, FarmCPU, GLM, and MLM). Seventy-three QTL were identified to be associated for the color of exocarp, mesocarp, testa, and tannin content on all chromosomes except chromosome 5, of which 47 might be novel QTL. Some important QTL were found to colocalize with orthologous genes in the flavonoid biosynthetic pathway from other plants, including orthologous of Arabidopsis (Arabidopsis thaliana) TT2, TT7, TT12, TT16 and AT5G41220 (GST), as well as orthologous of rice (Oryza sativa) MYB61 and OsbHLH025. Our investigation of the variation in grain color and tannin content in Chinese sorghum germplasm may help guide future sorghum breeding for liquor brewing.
Collapse
Affiliation(s)
- Liyi Zhang
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China.
| | - Jianxia Xu
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Yanqing Ding
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Ning Cao
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Xu Gao
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Zhou Feng
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Kuiying Li
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Bing Cheng
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Lengbo Zhou
- Guizhou Institute of Upland Crops, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Mingjian Ren
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Yuezhi Tao
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Zhejiang Key Laboratory of Digital Dry Land Crops, Hangzhou, 310021, China
| | - Guihua Zou
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Zhejiang Key Laboratory of Digital Dry Land Crops, Hangzhou, 310021, China.
| |
Collapse
|
16
|
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.
Collapse
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.
| |
Collapse
|
17
|
Wang H, Zhang Y, Liang D, Zhang X, Fan X, Guo Q, Wang L, Wang J, Liu Q. Genome‑wide identification and characterization of miR396 family members and their target genes GRF in sorghum (Sorghum bicolor (L.) moench). PLoS One 2023; 18:e0285494. [PMID: 37163544 PMCID: PMC10171670 DOI: 10.1371/journal.pone.0285494] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/25/2023] [Indexed: 05/12/2023] Open
Abstract
MicroRNAs (miRNAs) widely participate in plant growth and development. The miR396 family, one of the most conserved miRNA families, remains poorly understood in sorghum. To reveal the evolution and expression pattern of Sbi-miR396 gene family in sorghum, bioinformatics analysis and target gene prediction were performed on the sequences of the Sbi-miR396 gene family members. The results showed that five Sbi-miR396 members, located on chromosomes 4, 6, and 10, were identified at the whole-genome level. The secondary structure analysis showed that the precursor sequences of all five Sbi-miR396 potentially form a stable secondary stem-loop structure, and the mature miRNA sequences were generated on the 5' arm of the precursors. Sequence analysis identified the mature sequences of the five sbi-miR396 genes were high identity, with differences only at the 1st, 9th and 21st bases at the 5' end. Phylogenetic analysis revealed that Sbi-miR396a, Sbi-miR396b, and Sbi-miR396c were clustered into Group I, and Sbi-miR396d and Sbi-miR396e were clustered into Group II, and all five sbi-miR396 genes were closely related to those of maize and foxtail millet. Expression analysis of different tissue found that Sbi-miR396d/e and Sbi-miR396a/b/c were preferentially and barely expressed, respectively, in leaves, flowers, and panicles. Target gene prediction indicates that the growth-regulating factor family members (SbiGRF1/2/3/4/5/6/7/8/10) were target genes of Sbi-miR396d/e. Thus, Sbi-miR396d/e may affect the growth and development of sorghum by targeting SbiGRFs. In addition, expression analysis of different tissues and developmental stages found that all Sbi-miR396 target genes, SbiGRFs, were barely expressed in leaves, root and shoot, but were predominantly expressed in inflorescence and seed development stage, especially SbiGRF1/5/8. Therefore, inhibition the expression of sbi-miR396d/e may increase the expression of SbiGRF1/5/8, thereby affecting floral organ and seed development in sorghum. These findings provide the basis for studying the expression of the Sbi-mir396 family members and the function of their target genes.
Collapse
Affiliation(s)
- Huiyan Wang
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Yizhong Zhang
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Du Liang
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Xiaojuan Zhang
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Xinqi Fan
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Qi Guo
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Linfang Wang
- Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Yuci, Shanxi Province, China
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| | - Jingxue Wang
- School of Life Science, Shanxi University, Taiyuan, Shanxi Province, China
| | - Qingshan Liu
- Shanxi Key Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi Province, China
| |
Collapse
|
18
|
Sun D, Chen S, Cui Z, Lin J, Liu M, Jin Y, Zhang A, Gao Y, Cao H, Ruan Y. Genome-wide association study reveals the genetic basis of brace root angle and diameter in maize. Front Genet 2022; 13:963852. [PMID: 36276979 PMCID: PMC9582141 DOI: 10.3389/fgene.2022.963852] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 09/07/2022] [Indexed: 11/26/2022] Open
Abstract
Brace roots are the main organ to support the above-ground part of maize plant. It involves in plant growth and development by water absorption and lodging resistance. The bracing root angle (BRA) and diameter (BRD) are important components of brace root traits. Illuminating the genetic basis of BRA and BRD will contribute the improvement for mechanized harvest and increasing production. A GWAS of BRA and BRD was conducted using an associated panel composed of 508 inbred lines of maize. The broad-sense heritability of BRA and BRD was estimated to be respectively 71% ± 0.19 and 52% ± 0.14. The phenotypic variation of BRA and BRD in the non-stiff stalk subgroup (NSS) and the stiff stalk subgroup (SS) subgroups are significantly higher than that in the tropical/subtropical subgroup (TST) subgroups. In addition, BRA and BRD are significantly positive with plant height (PH), ear length (EL), and kernel number per row (KNPR). GWAS revealed 27 candidate genes within the threshold of p < 1.84 × 10−6 by both MLM and BLINK models. Among them, three genes, GRMZM2G174736, GRMZM2G445169 and GRMZM2G479243 were involved in cell wall function, and GRMZM2G038073 encoded the NAC transcription factor family proteins. These results provide theoretical support for clarifying the genetic basis of brace roots traits.
Collapse
Affiliation(s)
- Daqiu Sun
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
| | - Sibo Chen
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Northern Geng Super Rice Breeding, Ministry of Education, Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Zhenhai Cui
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
| | - Jingwei Lin
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
| | - Meiling Liu
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
| | - Yueting Jin
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
| | - Ao Zhang
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
| | - Yuan Gao
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
| | - Huiying Cao
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
- *Correspondence: Huiying Cao, ; Yanye Ruan,
| | - Yanye Ruan
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Liaoning Province Research Center of Plant Genetic Engineering Technology, College of Biological Science and Technology, Shenyang Agricultural University, Shenyang, China
- *Correspondence: Huiying Cao, ; Yanye Ruan,
| |
Collapse
|
19
|
Zhi X, Hammer G, Borrell A, Tao Y, Wu A, Hunt C, van Oosterom E, Massey-Reed SR, Cruickshank A, Potgieter AB, Jordan D, Mace E, George-Jaeggli B. Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3057-3071. [PMID: 35933636 PMCID: PMC9482571 DOI: 10.1007/s00122-022-04167-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 06/27/2022] [Indexed: 06/08/2023]
Abstract
Leaf width was correlated with plant-level transpiration efficiency and associated with 19 QTL in sorghum, suggesting it could be a surrogate for transpiration efficiency in large breeding program. Enhancing plant transpiration efficiency (TE) by reducing transpiration without compromising photosynthesis and yield is a desirable selection target in crop improvement programs. While narrow individual leaf width has been correlated with greater intrinsic water use efficiency in C4 species, the extent to which this translates to greater plant TE has not been investigated. The aims of this study were to evaluate the correlation of leaf width with TE at the whole-plant scale and investigate the genetic control of leaf width in sorghum. Two lysimetry experiments using 16 genotypes varying for stomatal conductance and three field trials using a large sorghum diversity panel (n = 701 lines) were conducted. Negative associations of leaf width with plant TE were found in the lysimetry experiments, suggesting narrow leaves may result in reduced plant transpiration without trade-offs in biomass accumulation. A wide range in width of the largest leaf was found in the sorghum diversity panel with consistent ranking among sorghum races, suggesting that environmental adaptation may have a role in modifying leaf width. Nineteen QTL were identified by genome-wide association studies on leaf width adjusted for flowering time. The QTL identified showed high levels of correspondence with those in maize and rice, suggesting similarities in the genetic control of leaf width across cereals. Three a priori candidate genes for leaf width, previously found to regulate dorsoventrality, were identified based on a 1-cM threshold. This study provides useful physiological and genetic insights for potential manipulation of leaf width to improve plant adaptation to diverse environments.
Collapse
Affiliation(s)
- Xiaoyu Zhi
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Henan, China.
| | - Graeme Hammer
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, St Lucia, QLD, Australia
| | - Andrew Borrell
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
| | - Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
| | - Alex Wu
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, St Lucia, QLD, Australia
| | - Colleen Hunt
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia
| | - Erik van Oosterom
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, St Lucia, QLD, Australia
| | - Sean Reynolds Massey-Reed
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
| | - Alan Cruickshank
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia
| | - Andries B Potgieter
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Gatton, QLD, Australia
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia.
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia.
| | - Barbara George-Jaeggli
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia.
| |
Collapse
|
20
|
Ayalew H, Peiris S, Chiluwal A, Kumar R, Tiwari M, Ostmeyer T, Bean S, Jagadish SVK. Stable sorghum grain quality QTL were identified using SC35 × RTx430 mapping population. THE PLANT GENOME 2022; 15:e20227. [PMID: 35880472 DOI: 10.1002/tpg2.20227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/18/2022] [Indexed: 06/15/2023]
Abstract
Understanding the genetic control and inheritance of grain quality traits is instrumental in facilitating end-use quality improvement. This study was conducted to identify and map quantitative trait loci (QTL) controlling protein, starch, and amylose content in grain sorghum [Sorghum bicolor (L.) Moench] grown under variable environmental conditions. A recombinant inbred line (RIL) population derived from a cross between RTx430 and SC35 was evaluated in six environments across Hays and Manhattan, KS. Significant variation was observed in genotype, environment, and genotype × environment interaction for all three quality traits. Unlike the RILs, the two parental lines did not show significant differences for these traits. However, significant transgressive segregation was observed for all traits resulting in phenotypic performance extending beyond the two parents. A total of seven protein, 10 starch, and 10 amylose content QTL were identified. Chromosomal regions and phenotypic variation (PVE) of QTL were variable across growing conditions. Quantitative trait loci hotspots for all three traits were detected on chromosomes 1 (115.2-119.2 cM) and 2 (118.2-127.4 cM). Candidate gene analysis indicated that these QTL hotspots were conditioned by several transcription factors, such as Cytochrome P450 and basic helix-loop-helix DNA binding protein, which regulate starch and protein accumulation in the grain. The identified genomic regions and underlying candidate genes provide a starting point for further validation and marker-assisted gene pyramiding to improve sorghum grain quality.
Collapse
Affiliation(s)
- Habtamu Ayalew
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA
| | - Shantha Peiris
- Grain Quality and Structure Research Unit, CGAHR, USDA-ARS, Manhattan, KS, 66502, USA
| | - Anuj Chiluwal
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA
| | - Ritesh Kumar
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA
| | - Manish Tiwari
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA
| | - Troy Ostmeyer
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA
| | - Scott Bean
- Grain Quality and Structure Research Unit, CGAHR, USDA-ARS, Manhattan, KS, 66502, USA
| | | |
Collapse
|
21
|
Chakrabarty S, Mufumbo R, Windpassinger S, Jordan D, Mace E, Snowdon RJ, Hathorn A. Genetic and genomic diversity in the sorghum gene bank collection of Uganda. BMC PLANT BIOLOGY 2022; 22:378. [PMID: 35906543 PMCID: PMC9335971 DOI: 10.1186/s12870-022-03770-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 07/21/2022] [Indexed: 06/01/2023]
Abstract
BACKGROUND The Plant Genetic Resources Centre at the Uganda National Gene Bank houses has over 3000 genetically diverse landraces and wild relatives of Sorghum bicolor accessions. This genetic diversity resource is untapped, under-utilized, and has not been systematically incorporated into sorghum breeding programs. In this study, we characterized the germplasm collection using whole-genome SNP markers (DArTseq). Discriminant analysis of principal components (DAPC) was implemented to study the racial ancestry of the accessions in comparison to a global sorghum diversity set and characterize the sub-groups present in the Ugandan (UG) germplasm. RESULTS Population structure and phylogenetic analysis revealed the presence of five subgroups among the Ugandan accessions. The samples from the highlands of the southwestern region were genetically distinct as compared to the rest of the population. This subset was predominated by the caudatum race and unique in comparison to the other sub-populations. In this study, we detected QTL for juvenile cold tolerance by genome-wide association studies (GWAS) resulting in the identification of 4 markers associated (-log10p > 3) to survival under cold stress under both field and climate chamber conditions, located on 3 chromosomes (02, 06, 09). To our best knowledge, the QTL on Sb09 with the strongest association was discovered for the first time. CONCLUSION This study demonstrates how genebank genomics can potentially facilitate effective and efficient usage of valuable, untapped germplasm collections for agronomic trait evaluation and subsequent allele mining. In face of adverse climate change, identification of genomic regions potentially involved in the adaptation of Ugandan sorghum accessions to cooler climatic conditions would be of interest for the expansion of sorghum production into temperate latitudes.
Collapse
Affiliation(s)
| | - Raphael Mufumbo
- Department of Plant Breeding, Justus Liebig University, Giessen, Germany
- Uganda National Gene Bank, National Agricultural Research Laboratories, Kampala, Uganda
| | | | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Warwick, QLD, 4370, Australia
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Warwick, QLD, 4370, Australia
| | - Rod J Snowdon
- Department of Plant Breeding, Justus Liebig University, Giessen, Germany.
| | - Adrian Hathorn
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Warwick, QLD, 4370, Australia
| |
Collapse
|
22
|
Simpson CJC, Reeves G, Tripathi A, Singh P, Hibberd JM. Using breeding and quantitative genetics to understand the C4 pathway. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:3072-3084. [PMID: 34747993 PMCID: PMC9126733 DOI: 10.1093/jxb/erab486] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/03/2021] [Indexed: 05/09/2023]
Abstract
Reducing photorespiration in C3 crops could significantly increase rates of photosynthesis and yield. One method to achieve this would be to integrate C4 photosynthesis into C3 species. This objective is challenging as it involves engineering incompletely understood traits into C3 leaves, including complex changes to their biochemistry, cell biology, and anatomy. Quantitative genetics and selective breeding offer underexplored routes to identify regulators of these processes. We first review examples of natural intraspecific variation in C4 photosynthesis as well as the potential for hybridization between C3 and C4 species. We then discuss how quantitative genetic approaches including artificial selection and genome-wide association could be used to better understand the C4 syndrome and in so doing guide the engineering of the C4 pathway into C3 crops.
Collapse
Affiliation(s)
- Conor J C Simpson
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Gregory Reeves
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Anoop Tripathi
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Pallavi Singh
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Julian M Hibberd
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
- Correspondence:
| |
Collapse
|
23
|
Faye JM, Akata EA, Sine B, Diatta C, Cisse N, Fonceka D, Morris GP. Quantitative and population genomics suggest a broad role of stay-green loci in the drought adaptation of sorghum. THE PLANT GENOME 2022; 15:e20176. [PMID: 34817118 DOI: 10.1002/tpg2.20176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/08/2021] [Indexed: 06/13/2023]
Abstract
Drought is a major constraint on plant productivity globally. Sorghum [Sorghum bicolor (L.) Moench] landraces have evolved in drought-prone regions, but the genetics of their adaptation is poorly understood. Here we sought to identify novel drought-tolerance loci and test hypotheses on the role of known loci including those underlying stay-green (Stg) postflowering drought tolerance. We phenotyped 590 diverse sorghum accessions from West Africa in 10 environments, under field-based managed drought stress [preflowering water stress (WS1), postflowering water stress (WS2), and well-watered (WW)] and rainfed (RF) conditions over 4 yr. Days to 50% flowering (DFLo), aboveground dry biomass (DBM), plant height (PH), and plant grain yield components (including grain weight [GrW], panicle weight [PW] and grain number [GrN] per plant, and 1000-grain weight [TGrW]) were measured, and genome-wide association studies (GWAS) was conducted. Broad-sense heritability for biomass and plant grain yield was high (33-92%) across environments. There was a significant correlation between stress tolerance index (STI) for GrW per plant across WS1 and WS2. Genome-wide association studies revealed that SbZfl1 and SbCN12, orthologs of maize (Zea mays L.) flowering genes, likely underlie flowering time variation under these conditions. Genome-wide association studies further identified associations (n = 134; common between two GWAS models) for STI and drought effects on plant yield components including 16 putative pleiotropic associations. Thirty of the associations colocalized with Stg1, Stg2, Stg3, and Stg4 loci and had large effects. Seven lead associations, including some within Stg1, overlapped with positive selection outliers. Our findings reveal previously undescribed natural genetic variation for drought-tolerance-related traits and suggest a broad role of Stg loci in drought adaptation of sorghum.
Collapse
Affiliation(s)
- Jacques M Faye
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, USA
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Eyanawa A Akata
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
- Institut Togolais de Recherche Agronomique, Kara, Togo
| | - Bassirou Sine
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Cyril Diatta
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Ndiaga Cisse
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Daniel Fonceka
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
- AGAP, Univ. Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Geoffrey P Morris
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, USA
- Dep. of Soil & Crop Science, Colorado State Univ., Ft. Collins, CO, 80523, USA
| |
Collapse
|
24
|
Zhao S, Li X, Song J, Li H, Zhao X, Zhang P, Li Z, Tian Z, Lv M, Deng C, Ai T, Chen G, Zhang H, Hu J, Xu Z, Chen J, Ding J, Song W, Chang Y. Genetic dissection of maize plant architecture using a novel nested association mapping population. THE PLANT GENOME 2022; 15:e20179. [PMID: 34859966 DOI: 10.1002/tpg2.20179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 10/25/2021] [Indexed: 06/13/2023]
Abstract
The leaf angle (LA), plant height (PH), and ear height (EH) are key plant architectural traits influencing maize (Zea mays L.) yield. However, their genetic determinants have not yet been well-characterized. Here, we developed a maize advanced backcross-nested association mapping population in Henan Agricultural University (HNAU-NAM1) comprised of 1,625 BC1 F4 /BC2 F4 lines. These were obtained by crossing a diverse set of 12 representative inbred lines with the common GEMS41 line, which were then genotyped using the MaizeSNP9.4K array. Genetic diversity and phenotypic distribution analyses showed considerable levels of genetic variation. We obtained 18-88 quantitative trait loci (QTLs) associated with LA, PH, and EH by using three complementary mapping methods, named as separate linkage mapping, joint linkage mapping, and genome-wide association studies. Our analyses enabled the identification of ten QTL hot-spot regions associated with the three traits, which were distributed on nine different chromosomes. We further selected 13 major QTLs that were simultaneously detected by three methods and deduced the candidate genes, of which eight were not reported before. The newly constructed HNAU-NAM1 population in this study will further broaden our insights into understanding of genetic regulation of plant architecture, thus will help to improve maize yield and provide an invaluable resource for maize functional genomics and breeding research.
Collapse
Affiliation(s)
- Sheng Zhao
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Xueying Li
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Junfeng Song
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural Univ., Beijing, 100193, China
| | - Huimin Li
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Xiaodi Zhao
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Peng Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
- College of Life Science and Technology, Guangxi Univ., Nanning, 530004, China
| | - Zhimin Li
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Zhiqiang Tian
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Meng Lv
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Ce Deng
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Tangshun Ai
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Gengshen Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural Univ., Wuhan, 430070, China
| | - Hui Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Jianlin Hu
- Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Zhijun Xu
- Zhanjiang Experiment Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, 524013, China
| | - Jiafa Chen
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Junqiang Ding
- National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Weibin Song
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural Univ., Beijing, 100193, China
| | - Yuxiao Chang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| |
Collapse
|
25
|
Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize. Int J Mol Sci 2022; 23:ijms23052405. [PMID: 35269548 PMCID: PMC8909957 DOI: 10.3390/ijms23052405] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/06/2022] [Accepted: 02/18/2022] [Indexed: 02/08/2023] Open
Abstract
Grain size, grain number per panicle, and grain weight are crucial determinants of yield-related traits in cereals. Understanding the genetic basis of grain yield-related traits has been the main research object and nodal in crop science. Sorghum and maize, as very close C4 crops with high photosynthetic rates, stress tolerance and large biomass characteristics, are extensively used to produce food, feed, and biofuels worldwide. In this review, we comprehensively summarize a large number of quantitative trait loci (QTLs) associated with grain yield in sorghum and maize. We placed great emphasis on discussing 22 fine-mapped QTLs and 30 functionally characterized genes, which greatly hinders our deep understanding at the molecular mechanism level. This review provides a general overview of the comprehensive findings on grain yield QTLs and discusses the emerging trend in molecular marker-assisted breeding with these QTLs.
Collapse
|
26
|
Zhang F, Qu L, Gu Y, Xu ZH, Xue HW. Resequencing and genome-wide association studies of autotetraploid potato. MOLECULAR HORTICULTURE 2022; 2:6. [PMID: 37789415 PMCID: PMC10515019 DOI: 10.1186/s43897-022-00027-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/01/2022] [Indexed: 10/05/2023]
Abstract
Potato is the fourth most important food crop in the world. Although with a long history for breeding approaches, genomic information and association between genes and agronomic traits remain largely unknown particularly in autotetraploid potato cultivars, which limit the molecular breeding progression. By resequencing the genome of 108 main cultivar potato accessions with rich genetic diversity and population structure from International Potato Center, with approximate 20-fold coverage, we revealed more than 27 million Single Nucleotide Polymorphisms and ~ 3 million Insertion and Deletions with high quality and accuracy. Domestication analysis and genome-wide association studies (GWAS) identified candidate loci related to photoperiodic flowering time and temperature sensitivity as well as disease resistance, providing informative insights into the selection and domestication of cultivar potato. In addition, GWAS with GWASploy for 25 agronomic traits identified candidate loci by association signals, especially those related to tuber size, small-sized tuber weight and tuber thickness that was also validated by transcriptome analysis. Our study provides a valuable resource that facilitates the elucidation of domestication process as well as the genetic studies and agronomic improvement of autotetraploid potato.
Collapse
Affiliation(s)
- Feng Zhang
- College of Agronomy, Gansu Provincial Key Laboratory of Aridland Crop Science, Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China
| | - Li Qu
- Shanghai Collaborative Innovation Center of Agri-Seeds, Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yincong Gu
- Shanghai OEbiotech, Shanghai, 201210, China
| | - Zhi-Hong Xu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Hong-Wei Xue
- Shanghai Collaborative Innovation Center of Agri-Seeds, Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
| |
Collapse
|
27
|
Zhi X, Tao Y, Jordan D, Borrell A, Hunt C, Cruickshank A, Potgieter A, Wu A, Hammer G, George-Jaeggli B, Mace E. Genetic control of leaf angle in sorghum and its effect on light interception. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:801-816. [PMID: 34698817 DOI: 10.1093/jxb/erab467] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
Developing sorghum genotypes adapted to different light environments requires understanding of a plant's ability to capture light, determined through leaf angle specifically. This study dissected the genetic basis of leaf angle in 3 year field trials at two sites, using a sorghum diversity panel (729 accessions). A wide range of variation in leaf angle with medium heritability was observed. Leaf angle explained 36% variation in canopy light extinction coefficient, highlighting the extent to which variation in leaf angle influences light interception at the whole-canopy level. This study also found that the sorghum races of Guinea and Durra consistently having the largest and smallest leaf angle, respectively, highlighting the potential role of leaf angle in adaptation to distinct environments. The genome-wide association study detected 33 quantitative trait loci (QTLs) associated with leaf angle. Strong synteny was observed with previously detected leaf angle QTLs in maize (70%) and rice (40%) within 10 cM, among which the overlap was significantly enriched according to χ2 tests, suggesting a highly consistent genetic control in grasses. A priori leaf angle candidate genes identified in maize and rice were found to be enriched within a 1-cM window around the sorghum leaf angle QTLs. Additionally, protein domain analysis identified the WD40 protein domain as being enriched within a 1-cM window around the QTLs. These outcomes show that there is sufficient heritability and natural variation in the angle of upper leaves in sorghum which may be exploited to change light interception and optimize crop canopies for different contexts.
Collapse
Affiliation(s)
- Xiaoyu Zhi
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
| | - Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
| | - Andrew Borrell
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
| | - Colleen Hunt
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD, Australia
| | - Alan Cruickshank
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD, Australia
| | - Andries Potgieter
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St Lucia, QLD, Australia
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton, QLD, Australia
| | - Alex Wu
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St Lucia, QLD, Australia
| | - Graeme Hammer
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St Lucia, QLD, Australia
| | - Barbara George-Jaeggli
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD, Australia
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD, Australia
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD, Australia
| |
Collapse
|
28
|
Chiluwal A, Perumal R, Poudel HP, Muleta K, Ostmeyer T, Fedenia L, Pokharel M, Bean SR, Sebela D, Bheemanahalli R, Oumarou H, Klein P, Rooney WL, Jagadish SVK. Genetic control of source-sink relationships in grain sorghum. PLANTA 2022; 255:40. [PMID: 35038036 DOI: 10.1007/s00425-022-03822-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 01/04/2022] [Indexed: 06/14/2023]
Abstract
QTL hotspots identified for selected source-sink-related traits provide the opportunity for pyramiding favorable alleles for improving sorghum productivity under diverse environments. A sorghum bi-parental mapping population was evaluated under six different environments at Hays and Manhattan, Kansas, USA, in 2016 and 2017, to identify genomic regions controlling source-sink relationships. The population consisted of 210 recombinant inbred lines developed from US elite post-flowering drought susceptible (RTx430) and a known post-flowering drought tolerant cultivar (SC35). Selected physiological traits related to source (effective quantum yield of photosystem II and chlorophyll index), sink (grain yield per panicle) and panicle neck diameter were recorded during grain filling. The results showed strong phenotypic and genotypic association between panicle neck diameter and grain yield per panicle during mid-grain filling and at maturity. Multiple QTL model revealed 5-12 including 2-5 major QTL for each trait. Among them 3, 7 and 8 QTL for quantum yield, panicle neck diameter and chlorophyll index, respectively, have not been identified previously in sorghum. Phenotypic variation explained by QTL identified across target traits ranged between 5.5 and 25.4%. Panicle neck diameter and grain yield per panicle were positively associated, indicating the possibility of targeting common co-localized QTL to improve both traits simultaneously through marker-assisted selection. Three major QTL hotspots, controlling multiple traits were identified on chromosome 1 (52.23-61.18 Mb), 2 (2.52-11.43 Mb) and 3 (1.32-3.95 Mb). The identified genomic regions and underlying candidate genes can be utilized in pyramiding favorable alleles for improving source-sink relationships in sorghum under diverse environments.
Collapse
Affiliation(s)
- Anuj Chiluwal
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
| | - Ramasamy Perumal
- Agricultural Research Center, Kansas State University, Hays, KS, 67601, USA
| | - Hari P Poudel
- Agriculture and Agri-Food Canada, 5403 First Ave. South, Lethbridge, AB, T1J 4B1, Canada
| | - Kebede Muleta
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
| | - Troy Ostmeyer
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
| | - Lauren Fedenia
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Meghnath Pokharel
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
| | - Scott R Bean
- Grain Quality and Structure Research Unit, CGAHR, USDA-ARS, 1515 College Avenue, Manhattan, KS, 66502, USA
| | - David Sebela
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
| | - Raju Bheemanahalli
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
- Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, 39762, USA
| | - Halilou Oumarou
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA
| | - Patricia Klein
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - William L Rooney
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - S V Krishna Jagadish
- Department of Agronomy, Kansas State University, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS, 66506-5501, USA.
| |
Collapse
|
29
|
Zhi X, Massey-Reed SR, Wu A, Potgieter A, Borrell A, Hunt C, Jordan D, Zhao Y, Chapman S, Hammer G, George-Jaeggli B. Estimating Photosynthetic Attributes from High-Throughput Canopy Hyperspectral Sensing in Sorghum. PLANT PHENOMICS (WASHINGTON, D.C.) 2022; 2022:9768502. [PMID: 35498954 PMCID: PMC9013486 DOI: 10.34133/2022/9768502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/25/2022] [Indexed: 05/04/2023]
Abstract
Sorghum, a genetically diverse C4 cereal, is an ideal model to study natural variation in photosynthetic capacity. Specific leaf nitrogen (SLN) and leaf mass per leaf area (LMA), as well as, maximal rates of Rubisco carboxylation (V cmax), phosphoenolpyruvate (PEP) carboxylation (V pmax), and electron transport (J max), quantified using a C4 photosynthesis model, were evaluated in two field-grown training sets (n = 169 plots including 124 genotypes) in 2019 and 2020. Partial least square regression (PLSR) was used to predict V cmax (R 2 = 0.83), V pmax (R 2 = 0.93), J max (R 2 = 0.76), SLN (R 2 = 0.82), and LMA (R 2 = 0.68) from tractor-based hyperspectral sensing. Further assessments of the capability of the PLSR models for V cmax, V pmax, J max, SLN, and LMA were conducted by extrapolating these models to two trials of genome-wide association studies adjacent to the training sets in 2019 (n = 875 plots including 650 genotypes) and 2020 (n = 912 plots with 634 genotypes). The predicted traits showed medium to high heritability and genome-wide association studies using the predicted values identified four QTL for V cmax and two QTL for J max. Candidate genes within 200 kb of the V cmax QTL were involved in nitrogen storage, which is closely associated with Rubisco, while not directly associated with Rubisco activity per se. J max QTL was enriched for candidate genes involved in electron transport. These outcomes suggest the methods here are of great promise to effectively screen large germplasm collections for enhanced photosynthetic capacity.
Collapse
Affiliation(s)
- Xiaoyu Zhi
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, Warwick, QLD, Australia
| | - Sean Reynolds Massey-Reed
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, Warwick, QLD, Australia
| | - Alex Wu
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, QLD, Australia
| | - Andries Potgieter
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Gatton, QLD, Australia
| | - Andrew Borrell
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, Warwick, QLD, Australia
| | - Colleen Hunt
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, Warwick, QLD, Australia
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD, Australia
| | - David Jordan
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, Warwick, QLD, Australia
| | - Yan Zhao
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, QLD, Australia
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Gatton, QLD, Australia
| | - Scott Chapman
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, QLD, Australia
- School of Agriculture and Food Sciences, The University of Queensland, Gatton, QLD, Australia
| | - Graeme Hammer
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), St Lucia, QLD, Australia
| | - Barbara George-Jaeggli
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, Warwick, QLD, Australia
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD, Australia
| |
Collapse
|
30
|
Yang X, Tucker MR. Establishing a regulatory blueprint for ovule number and function during plant development. CURRENT OPINION IN PLANT BIOLOGY 2021; 63:102095. [PMID: 34428719 DOI: 10.1016/j.pbi.2021.102095] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/20/2021] [Accepted: 07/21/2021] [Indexed: 06/13/2023]
Abstract
The plant ovule is a fundamentally important organ that is the direct progenitor of the seed. It is one of the last structures to form in the flower and contains relatively few tissues, but undergoes complex developmental transitions that are essential for reproduction. Ovule number and flower fertility are important factors influencing yield, yet studies have identified challenges in trying to increase one without compromising the other. Recent findings in Arabidopsis and cereal crops highlight regulatory pathways that contribute to this yield constraint. Here, we consider the basis for variation in ovule number and development, with a particular focus on hormones and transcriptional regulators that constitute promising targets for the optimisation of reproductive traits and yield.
Collapse
Affiliation(s)
- Xiujuan Yang
- Waite Research Institute, School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Urrbrae, SA, 5064, Australia
| | - Matthew R Tucker
- Waite Research Institute, School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Urrbrae, SA, 5064, Australia.
| |
Collapse
|
31
|
Tao Y, Trusov Y, Zhao X, Wang X, Cruickshank AW, Hunt C, van Oosterom EJ, Hathorn A, Liu G, Godwin ID, Botella JR, Mace ES, Jordan DR. Manipulating assimilate availability provides insight into the genes controlling grain size in sorghum. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 108:231-243. [PMID: 34309934 DOI: 10.1111/tpj.15437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/19/2021] [Indexed: 06/13/2023]
Abstract
Variation in grain size, a major determinant of grain yield and quality in cereal crops, is determined by both the plant's genetic potential and the available assimilate to fill the grain in the absence of stress. This study investigated grain size variation in response to variation in assimilate supply in sorghum using a diversity panel (n = 837) and a backcross-nested association mapping population (n = 1421) across four experiments. To explore the effects of genetic potential and assimilate availability on grain size, the top half of selected panicles was removed at anthesis. Results showed substantial variation in five grain size parameters with high heritability. Artificial reduction in grain number resulted in a general increase in grain weight, with the extent of the increase varying across genotypes. Genome-wide association studies identified 44 grain size quantitative trait locus (QTL) that were likely to act on assimilate availability and 50 QTL that were likely to act on genetic potential. This finding was further supported by functional enrichment analysis and co-location analysis with known grain number QTL and candidate genes. RNA interference and overexpression experiments were conducted to validate the function of one of the identified gene, SbDEP1, showing that SbDEP1 positively regulates grain number and negatively regulates grain size by controlling primary branching in sorghum. Haplotype analysis of SbDEP1 suggested a possible role in racial differentiation. The enhanced understanding of grain size variation in relation to assimilate availability presented in this study will benefit sorghum improvement and have implications for other cereal crops.
Collapse
Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Qld, 4370, Australia
| | - Yuri Trusov
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Qld, 4072, Australia
| | - Xianrong Zhao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Qld, 4370, Australia
| | - Xuemin Wang
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Qld, 4370, Australia
| | - Alan W Cruickshank
- Department of Agriculture and Fisheries (DAF), Agri-Science Queensland, Hermitage Research Facility, Warwick, Qld, 4370, Australia
| | - Colleen Hunt
- Department of Agriculture and Fisheries (DAF), Agri-Science Queensland, Hermitage Research Facility, Warwick, Qld, 4370, Australia
| | - Erik J van Oosterom
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Qld, 4072, Australia
| | - Adrian Hathorn
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Qld, 4370, Australia
| | - Guoquan Liu
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Qld, 4072, Australia
| | - Ian D Godwin
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Qld, 4072, Australia
| | - Jose R Botella
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Qld, 4072, Australia
| | - Emma S Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Qld, 4370, Australia
- Department of Agriculture and Fisheries (DAF), Agri-Science Queensland, Hermitage Research Facility, Warwick, Qld, 4370, Australia
| | - David R Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Qld, 4370, Australia
| |
Collapse
|
32
|
Kaur B, Sandhu KS, Kamal R, Kaur K, Singh J, Röder MS, Muqaddasi QH. Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects. PLANTS 2021; 10:plants10101989. [PMID: 34685799 PMCID: PMC8541486 DOI: 10.3390/plants10101989] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 12/22/2022]
Abstract
Omics technologies, namely genomics, transcriptomics, proteomics, metabolomics, and phenomics, are becoming an integral part of virtually every commercial cereal crop breeding program, as they provide substantial dividends per unit time in both pre-breeding and breeding phases. Continuous advances in omics assure time efficiency and cost benefits to improve cereal crops. This review provides a comprehensive overview of the established omics methods in five major cereals, namely rice, sorghum, maize, barley, and bread wheat. We cover the evolution of technologies in each omics section independently and concentrate on their use to improve economically important agronomic as well as biotic and abiotic stress-related traits. Advancements in the (1) identification, mapping, and sequencing of molecular/structural variants; (2) high-density transcriptomics data to study gene expression patterns; (3) global and targeted proteome profiling to study protein structure and interaction; (4) metabolomic profiling to quantify organ-level, small-density metabolites, and their composition; and (5) high-resolution, high-throughput, image-based phenomics approaches are surveyed in this review.
Collapse
Affiliation(s)
- Balwinder Kaur
- Everglades Research and Education Center, University of Florida, 3200 E. Palm Beach Rd., Belle Glade, FL 33430, USA;
| | - Karansher S. Sandhu
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163, USA;
| | - Roop Kamal
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Stadt Seeland, Germany; (R.K.); or (M.S.R.)
| | - Kawalpreet Kaur
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada;
| | - Jagmohan Singh
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India;
| | - Marion S. Röder
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Stadt Seeland, Germany; (R.K.); or (M.S.R.)
| | - Quddoos H. Muqaddasi
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Stadt Seeland, Germany; (R.K.); or (M.S.R.)
- Correspondence: or
| |
Collapse
|
33
|
Liu Y, Wang Z, Wu X, Zhu J, Luo H, Tian D, Li C, Luo J, Zhao W, Hao H, Jing HC. SorGSD: updating and expanding the sorghum genome science database with new contents and tools. BIOTECHNOLOGY FOR BIOFUELS 2021; 14:165. [PMID: 34344425 PMCID: PMC8336335 DOI: 10.1186/s13068-021-02016-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 07/24/2021] [Indexed: 05/17/2023]
Abstract
BACKGROUND As the fifth major cereal crop originated from Africa, sorghum (Sorghum bicolor) has become a key C4 model organism for energy plant research. With the development of high-throughput detection technologies for various omics data, much multi-dimensional and multi-omics information has been accumulated for sorghum. Integrating this information may accelerate genetic research and improve molecular breeding for sorghum agronomic traits. RESULTS We updated the Sorghum Genome SNP Database (SorGSD) by adding new data, new features and renamed it to Sorghum Genome Science Database (SorGSD). In comparison with the original version SorGSD, which contains SNPs from 48 sorghum accessions mapped to the reference genome BTx623 (v2.1), the new version was expanded to 289 sorghum lines with both single nucleotide polymorphisms (SNPs) and small insertions/deletions (INDELs), which were aligned to the newly assembled and annotated sorghum genome BTx623 (v3.1). Moreover, phenotypic data and panicle pictures of critical accessions were provided in the new version. We implemented new tools including ID Conversion, Homologue Search and Genome Browser for analysis and updated the general information related to sorghum research, such as online sorghum resources and literature references. In addition, we deployed a new database infrastructure and redesigned a new user interface as one of the Genome Variation Map databases. The new version SorGSD is freely accessible online at http://ngdc.cncb.ac.cn/sorgsd/ . CONCLUSIONS SorGSD is a comprehensive integration with large-scale genomic variation, phenotypic information and incorporates online data analysis tools for data mining, genome navigation and analysis. We hope that SorGSD could provide a valuable resource for sorghum researchers to find variations they are interested in and generate customized high-throughput datasets for further analysis.
Collapse
Affiliation(s)
- 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
| | - Zhonghuang Wang
- University of Chinese Academy of Sciences, Beijing, 100049 China
- China National Center for Bioinformation, Beijing, 100101 China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
| | - Xiaoyuan Wu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093 China
| | - Junwei Zhu
- China National Center for Bioinformation, Beijing, 100101 China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
| | - Hong Luo
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093 China
| | - Dongmei Tian
- China National Center for Bioinformation, Beijing, 100101 China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
| | - Cuiping Li
- China National Center for Bioinformation, Beijing, 100101 China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
| | - Jingchu Luo
- College of Life Sciences and Center for Bioinformatics, Peking University, Beijing, 100871 China
| | - Wenming Zhao
- University of Chinese Academy of Sciences, Beijing, 100049 China
- China National Center for Bioinformation, Beijing, 100101 China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China
| | - Huaiqing Hao
- 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
| |
Collapse
|
34
|
Ji Q, Zhu H, Huang X, Zhou K, Liu Z, Sun Y, Wang Z, Ke W. Uncovering phylogenetic relationships and genetic diversity of water dropwort using phenotypic traits and SNP markers. PLoS One 2021; 16:e0249825. [PMID: 34228738 PMCID: PMC8259969 DOI: 10.1371/journal.pone.0249825] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 03/25/2021] [Indexed: 12/02/2022] Open
Abstract
The water dropworts Oenanthe linearis Wall. ex DC. and O. javanica (Blume) DC. are aquatic perennial herbs that have been used in China as vegetables and traditional medicines. However, their phylogenetic relationships and genetic diversity are poorly understood. Here, we presented the phenotypic traits and genome-wide DNA marker-based analysis of 158 water dropwort accessions representing both species. The analysis revealed that Oenanthe linearis was readily segregated into linear-leaf and deep-cleft leaf water dropworts according to their leaf shapes at flowering. Oenanthe javanica was classified by clustering analysis into two clusters based mainly on the morphological characteristics of their ultimate segments (leaflets). A set of 11 493 high-quality single-nucleotide polymorphisms was identified and used to construct a phylogenetic tree. There was strong discrimination between O. linearis and O. javanica, which was consistent with their phenotype diversification. The population structure and phylogenetic tree analyses suggested that the O. linearis accessions formed two major groups, corresponding to the linear-leaf and deep-cleft leaf types. The most obvious phenotypic differences between them were fully expressed at the reproductive growth stage. A single-nucleotide polymorphism-based analysis revealed that the O. javanica accessions could be categorized into groups I andII. However, this finding did not entirely align with the clusters revealed by morphological classification. Landraces were clustered into one group along with the remaining wild accessions. Hence, water dropwort domestication was short in duration. The level of genetic diversity for O. linearis (π = 0.1902) was slightly lower than that which was estimated for O. javanica (π = 0.2174). There was a low level of genetic differentiation between O. linearis and O. javanica (Fst = 0.0471). The mean genetic diversity among accessions ranged from 0.1818 for the linear-leaf types to 0.2318 for the groupII accessions. The phenotypic traits and the single-nucleotide polymorphism markers identified here lay empirical foundation for future genomic studies on water dropwort.
Collapse
Affiliation(s)
- Qun Ji
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Honglian Zhu
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Xinfang Huang
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Kai Zhou
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Zhengwei Liu
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Yalin Sun
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Zhixin Wang
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Weidong Ke
- Institute of Vegetables, Wuhan Academy of Agricultural Sciences, Wuhan, Hubei, China
| |
Collapse
|
35
|
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.
Collapse
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.
| |
Collapse
|
36
|
Li H, Hu X, Lovell JT, Grabowski PP, Mamidi S, Chen C, Amirebrahimi M, Kahanda I, Mumey B, Barry K, Kudrna D, Schmutz J, Lachowiec J, Lu C. Genetic dissection of natural variation in oilseed traits of camelina by whole-genome resequencing and QTL mapping. THE PLANT GENOME 2021; 14:e20110. [PMID: 34106529 DOI: 10.1002/tpg2.20110] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/29/2021] [Indexed: 06/12/2023]
Abstract
Camelina [Camelina sativa (L.) Crantz] is an oilseed crop in the Brassicaceae family that is currently being developed as a source of bioenergy and healthy fatty acids. To facilitate modern breeding efforts through marker-assisted selection and biotechnology, we evaluated genetic variation among a worldwide collection of 222 camelina accessions. We performed whole-genome resequencing to obtain single nucleotide polymorphism (SNP) markers and to analyze genomic diversity. We also conducted phenotypic field evaluations in two consecutive seasons for variations in key agronomic traits related to oilseed production such as seed size, oil content (OC), fatty acid composition, and flowering time. We determined the population structure of the camelina accessions using 161,301 SNPs. Further, we identified quantitative trait loci (QTL) and candidate genes controlling the above field-evaluated traits by genome-wide association studies (GWAS) complemented with linkage mapping using a recombinant inbred line (RIL) population. Characterization of the natural variation at the genome and phenotypic levels provides valuable resources to camelina genetic studies and crop improvement. The QTL and candidate genes should assist in breeding of advanced camelina varieties that can be integrated into the cropping systems for the production of high yield of oils of desired fatty acid composition.
Collapse
Affiliation(s)
- Huang Li
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - Xiao Hu
- School of Computing, Montana State University, Bozeman, MT, 59717, USA
| | - John T Lovell
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
| | - Paul P Grabowski
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
| | - Sujan Mamidi
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
| | - Cindy Chen
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Mojgan Amirebrahimi
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Indika Kahanda
- School of Computing, Montana State University, Bozeman, MT, 59717, USA
| | - Brendan Mumey
- School of Computing, Montana State University, Bozeman, MT, 59717, USA
| | - Kerrie Barry
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - David Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Jennifer Lachowiec
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - Chaofu Lu
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| |
Collapse
|
37
|
Berhe M, Dossa K, You J, Mboup PA, Diallo IN, Diouf D, Zhang X, Wang L. Genome-wide association study and its applications in the non-model crop Sesamum indicum. BMC PLANT BIOLOGY 2021; 21:283. [PMID: 34157965 PMCID: PMC8218510 DOI: 10.1186/s12870-021-03046-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 05/17/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Sesame is a rare example of non-model and minor crop for which numerous genetic loci and candidate genes underlying features of interest have been disclosed at relatively high resolution. These progresses have been achieved thanks to the applications of the genome-wide association study (GWAS) approach. GWAS has benefited from the availability of high-quality genomes, re-sequencing data from thousands of genotypes, extensive transcriptome sequencing, development of haplotype map and web-based functional databases in sesame. RESULTS In this paper, we reviewed the GWAS methods, the underlying statistical models and the applications for genetic discovery of important traits in sesame. A novel online database SiGeDiD ( http://sigedid.ucad.sn/ ) has been developed to provide access to all genetic and genomic discoveries through GWAS in sesame. We also tested for the first time, applications of various new GWAS multi-locus models in sesame. CONCLUSIONS Collectively, this work portrays steps and provides guidelines for efficient GWAS implementation in sesame, a non-model crop.
Collapse
Affiliation(s)
- Muez Berhe
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China
- Humera Agricultural Research Center of Tigray Agricultural Research Institute, Humera, Tigray, Ethiopia
| | - Komivi Dossa
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China.
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal.
- Laboratory of Genetics, Horticulture and Seed Sciences, Faculty of Agronomic Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Republic of Benin.
| | - Jun You
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China
| | - Pape Adama Mboup
- Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
| | - Idrissa Navel Diallo
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
- Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
| | - Diaga Diouf
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
| | - Xiurong Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China
| | - Linhai Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China.
| |
Collapse
|
38
|
Tao Y, Luo H, Xu J, Cruickshank A, Zhao X, Teng F, Hathorn A, Wu X, Liu Y, Shatte T, Jordan D, Jing H, Mace E. Extensive variation within the pan-genome of cultivated and wild sorghum. NATURE PLANTS 2021; 7:766-773. [PMID: 34017083 DOI: 10.1038/s41477-021-00925-x] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 04/21/2021] [Indexed: 05/18/2023]
Abstract
Sorghum is a drought-tolerant staple crop for half a billion people in Africa and Asia, an important source of animal feed throughout the world and a biofuel feedstock of growing importance. Cultivated sorghum and its inter-fertile wild relatives constitute the primary gene pool for sorghum. Understanding and characterizing the diversity within this valuable resource is fundamental for its effective utilization in crop improvement. Here, we report analysis of a sorghum pan-genome to explore genetic diversity within the sorghum primary gene pool. We assembled 13 genomes representing cultivated sorghum and its wild relatives, and integrated them with 3 other published genomes to generate a pan-genome of 44,079 gene families with 222.6 Mb of new sequence identified. The pan-genome displays substantial gene-content variation, with 64% of gene families showing presence/absence variation among genomes. Comparisons between core genes and dispensable genes suggest that dispensable genes are important for sorghum adaptation. Extensive genetic variation was uncovered within the pan-genome, and the distribution of these variations was influenced by variation of recombination rate and transposable element content across the genome. We identified presence/absence variants that were under selection during sorghum domestication and improvement, and demonstrated that such variation had important phenotypic outcomes that could contribute to crop improvement. The constructed sorghum pan-genome represents an important resource for sorghum improvement and gene discovery.
Collapse
Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia
| | - Hong Luo
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Jiabao Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Alan Cruickshank
- Hermitage Research Facility, Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Warwick, Queensland, Australia
| | - Xianrong Zhao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia
| | - Fei Teng
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Adrian Hathorn
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia
| | - Xiaoyuan Wu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Yuanming Liu
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Tracey Shatte
- Hermitage Research Facility, Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Warwick, Queensland, Australia
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia.
| | - Haichun Jing
- Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia.
- Hermitage Research Facility, Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Warwick, Queensland, Australia.
| |
Collapse
|
39
|
Genetic dissection of QTLs associated with spikelet-related traits and grain size in sorghum. Sci Rep 2021; 11:9398. [PMID: 33931706 PMCID: PMC8087780 DOI: 10.1038/s41598-021-88917-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 04/19/2021] [Indexed: 11/17/2022] Open
Abstract
Although spikelet-related traits such as size of anther, spikelet, style, and stigma are associated with sexual reproduction in grasses, no QTLs have been reported in sorghum. Additionally, there are only a few reports on sorghum QTLs related to grain size, such as grain length, width, and thickness. In this study, we performed QTL analyses of nine spikelet-related traits (length of sessile spikelet, pedicellate spikelet, pedicel, anther, style, and stigma; width of sessile spikelet and stigma; and stigma pigmentation) and six grain-related traits (length, width, thickness, length/width ratio, length/thickness ratio, and width/thickness ratio) using sorghum recombinant inbred lines. We identified 36 and 7 QTLs for spikelet-related traits and grain-related traits, respectively, and found that most sorghum spikelet organ length- and width-related traits were partially controlled by the dwarf genes Dw1 and Dw3. Conversely, we found that these Dw genes were not strongly involved in the regulation of grain size. The QTLs identified in this study aid in understanding the genetic basis of spikelet- and grain-related traits in sorghum.
Collapse
|
40
|
Wang J, Wu X, Yue W, Zhao C, Yang J, Zhou M. Identification of QTL for barley grain size. PeerJ 2021; 9:e11287. [PMID: 33986999 PMCID: PMC8088763 DOI: 10.7717/peerj.11287] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 03/25/2021] [Indexed: 01/22/2023] Open
Abstract
Background Barley grain size is one of the key factors determining storage capacity during grain filling. Large, well-filled grains also have a high malt extract potential. Grain size is a complex quantitative trait and can be easily affected by environmental factors thus the identification of genes controlling the trait and the use of molecular markers linked to the genes in breeding program is the most effective way of improving grain size. Methods Grain sizes of 188 doubled-haploid (DH) lines derived from the cross of a Japanese malting barley variety (Naso Nijo) and a Chinese feed barley variety (TX9425) were obtained from three different sites in two consecutive years. The average data were used for identifying QTL for grain size. Results A total of four significant QTL were identified for grain length (GL) and three for grain width (GW). The two major GL QTL are located at similar positions to the QTL for malt extract on 2H and uzu gene on 3H, respectively. However, the GL QTL on 2H is more likely a different one from the malt extract QTL as most of the candidate genes are located outside the fine mapped QTL region for malt extract. The GL QTL on 3H is closely linked with uzu gene but not due to a pleiotropic effect of uzu. The three QTL for grain width on 1H, 2H and 5H, respectively, were located at same position to those for GL.
Collapse
Affiliation(s)
- Junmei Wang
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xiaojian Wu
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Wenhao Yue
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Chenchen Zhao
- Tasmanian Institute of Agriculture, University of Tasmania, Prospect, TAS, Australia
| | - Jianming Yang
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Meixue Zhou
- Tasmanian Institute of Agriculture, University of Tasmania, Prospect, TAS, Australia
| |
Collapse
|
41
|
Baggett JP, Tillett RL, Cooper EA, Yerka MK. De novo identification and targeted sequencing of SSRs efficiently fingerprints Sorghum bicolor sub-population identity. PLoS One 2021; 16:e0248213. [PMID: 33684158 PMCID: PMC7939377 DOI: 10.1371/journal.pone.0248213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 02/22/2021] [Indexed: 11/21/2022] Open
Abstract
Recent plant breeding studies of several species have demonstrated the utility of combining molecular assessments of genetic distance into trait-linked SNP genotyping during the development of parent lines to maximize yield gains due to heterosis. SSRs (Short Sequence Repeats) are the molecular marker of choice to determine genetic diversity, but the methods historically used to sequence them have been burdensome. The ability to analyze SSRs in a higher-throughput manner independent of laboratory conditions would increase their utility in molecular ecology, germplasm curation, and plant breeding programs worldwide. This project reports simple bioinformatics methods that can be used to generate genome-wide de novo SSRs in silico followed by targeted Next Generation Sequencing (NGS) validation of those that provide the most information about sub-population identity of a breeding line, which influences heterotic group selection. While these methods were optimized in sorghum [Sorghum bicolor (L.) Moench], they were developed to be applied to any species with a reference genome and high-coverage whole-genome sequencing data of individuals from the sub-populations to be characterized. An analysis of published sorghum genomes selected to represent its five main races (bicolor, caudatum, durra, kafir, and guinea; 75 accessions total) identified 130,120 SSR motifs. Average lengths were 23.8 bp and 95% were between 10 and 92 bp, making them suitable for NGS. Validation through targeted sequencing amplified 188 of 192 assayed SSR loci. Results highlighted the distinctness of accessions from the guinea sub-group margaritiferum from all other sorghum accessions, consistent with previous studies of nuclear and mitochondrial DNA. SSRs that efficiently fingerprinted margaritiferum individuals (Xgma1 -Xgma6) are presented. Developing similar fingerprints of other sub-populations (Xunr1 -Xunr182) was not possible due to the extensive admixture between them in the data set analyzed. In summary, these methods were able to fingerprint specific sub-populations when rates of admixture between them are low.
Collapse
Affiliation(s)
- John P. Baggett
- Department of Biochemistry and Molecular Biology, University of Nevada, Reno, NV, United States of America
| | - Richard L. Tillett
- Nevada Center for Bioinformatics, University of Nevada, Reno, NV, United States of America
| | - Elizabeth A. Cooper
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, United States of America
| | - Melinda K. Yerka
- Department of Agriculture, Veterinary, and Rangeland Sciences, University of Nevada, Reno, NV, United States of America
| |
Collapse
|
42
|
Dhaka N, Sharma R. MicroRNA-mediated regulation of agronomically important seed traits: a treasure trove with shades of grey! Crit Rev Biotechnol 2021; 41:594-608. [PMID: 33682533 DOI: 10.1080/07388551.2021.1873238] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Seed development is an intricate process with multiple levels of regulation. MicroRNAs (miRNAs) have emerged as one of the crucial components of molecular networks underlying agronomically important seed traits in diverse plant species. In fact, loss of function of the genes regulating miRNA biogenesis also exhibits defects in seed development. A total of 21 different miRNAs have experimentally been shown to regulate seed size, nutritional content, vigor, and shattering, and have been reviewed here. The mechanism details of the associated regulatory cascades mediated through transcriptional regulators, phytohormones, basic metabolic machinery, and secondary siRNAs are elaborated. Co-localization of miRNAs and their target regions with seed-related QTLs provides new avenues for engineering these traits using conventional breeding programs or biotechnological interventions. While global analysis of miRNAs using small RNA sequencing studies are expanding the repertoire of candidate miRNAs, recent revelations on their inheritance, transport, and mechanism of action would be instrumental in designing better strategies for optimizing agronomically relevant seed traits.
Collapse
Affiliation(s)
- Namrata Dhaka
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Haryana, India.,Crop Genetics and Informatics Group, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Rita Sharma
- Crop Genetics and Informatics Group, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| |
Collapse
|
43
|
Menamo T, Kassahun B, Borrell AK, Jordan DR, Tao Y, Hunt C, Mace E. Genetic diversity of Ethiopian sorghum reveals signatures of climatic adaptation. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:731-742. [PMID: 33341904 DOI: 10.1007/s00122-020-03727-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 11/06/2020] [Indexed: 05/23/2023]
Abstract
A large collection of Ethiopian sorghum landraces, characterized by agro-ecology and racial-group, was found to contain high levels of diversity and admixture, with significant SNP associations identified for environmental adaptation. Sorghum [Sorghum bicolor L. (Moench)] is a major staple food crop in Ethiopia, exhibiting extensive genetic diversity with adaptations to diverse agroecologies. The environmental and climatic drivers, as well as the genomic basis of adaptation, are poorly understood in Ethiopian sorghum and are critical elements for the development of climate-resilient crops. Exploration of the genome-environment association (GEA) is important for identifying adaptive loci and predicting phenotypic variation. The current study aimed to better understand the GEA of a large collection of Ethiopian sorghum landraces (n = 940), characterized with genome-wide SNP markers, to investigate key traits related to adaptation to temperature, precipitation and altitude. The Ethiopian sorghum landrace collection was found to consist of 12 subpopulations with high levels of admixture (47%), representing all the major racial groups of cultivated sorghum with the exception of kafir. Redundancy analysis indicated that agroecology explained up to 10% of the total SNP variation, and geographical location up to 6%. GEA identified 18 significant SNP markers for environmental variables. These SNPs were found to be significantly enriched (P < 0.05) for a priori QTL for drought and cold adaptation. The findings from this study improve our understanding of the genetic control of adaptive traits in Ethiopian sorghum. Further, the Ethiopian sorghum germplasm collection provides sources of adaptation to harsh environments (cold and/or drought) that could be deployed in breeding programs globally for abiotic stress adaptation.
Collapse
Affiliation(s)
- T Menamo
- College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia
| | - B Kassahun
- College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia
| | - A K Borrell
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, University of Queensland, Warwick, QLD, 4370, Australia
| | - D R Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, University of Queensland, Warwick, QLD, 4370, Australia
| | - Y Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, University of Queensland, Warwick, QLD, 4370, Australia
| | - C Hunt
- Department of Agriculture and Fisheries, Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, 4370, Australia
| | - E Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Hermitage Research Facility, University of Queensland, Warwick, QLD, 4370, Australia.
- Department of Agriculture and Fisheries, Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, 4370, Australia.
| |
Collapse
|
44
|
Burgarella C, Berger A, Glémin S, David J, Terrier N, Deu M, Pot D. The Road to Sorghum Domestication: Evidence From Nucleotide Diversity and Gene Expression Patterns. FRONTIERS IN PLANT SCIENCE 2021; 12:666075. [PMID: 34527004 PMCID: PMC8435843 DOI: 10.3389/fpls.2021.666075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 07/20/2021] [Indexed: 05/17/2023]
Abstract
Native African cereals (sorghum, millets) ensure food security to millions of low-income people from low fertility and drought-prone regions of Africa and Asia. In spite of their agronomic importance, the genetic bases of their phenotype and adaptations are still not well-understood. Here we focus on Sorghum bicolor, which is the fifth cereal worldwide for grain production and constitutes the staple food for around 500 million people. We leverage transcriptomic resources to address the adaptive consequences of the domestication process. Gene expression and nucleotide variability were analyzed in 11 domesticated and nine wild accessions. We documented a downregulation of expression and a reduction of diversity both in nucleotide polymorphism (30%) and gene expression levels (18%) in domesticated sorghum. These findings at the genome-wide level support the occurrence of a global reduction of diversity during the domestication process, although several genes also showed patterns consistent with the action of selection. Nine hundred and forty-nine genes were significantly differentially expressed between wild and domesticated gene pools. Their functional annotation points to metabolic pathways most likely contributing to the sorghum domestication syndrome, such as photosynthesis and auxin metabolism. Coexpression network analyzes revealed 21 clusters of genes sharing similar expression patterns. Four clusters (totaling 2,449 genes) were significantly enriched in differentially expressed genes between the wild and domesticated pools and two were also enriched in domestication and improvement genes previously identified in sorghum. These findings reinforce the evidence that the combined and intricated effects of the domestication and improvement processes do not only affect the behaviors of a few genes but led to a large rewiring of the transcriptome. Overall, these analyzes pave the way toward the identification of key domestication genes valuable for genetic resources characterization and breeding purposes.
Collapse
Affiliation(s)
- Concetta Burgarella
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
- *Correspondence: Concetta Burgarella
| | - Angélique Berger
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Sylvain Glémin
- CNRS, Univ. Rennes, ECOBIO – UMR 6553, Rennes, France
- Department of Ecology and Evolution, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jacques David
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Nancy Terrier
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Monique Deu
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - David Pot
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
- David Pot
| |
Collapse
|
45
|
Talukder SK, Islam MS, Krom N, Chang J, Saha MC. Drought Responsive Putative Marker-Trait Association in Tall Fescue as Influenced by the Presence of a Novel Endophyte. FRONTIERS IN PLANT SCIENCE 2021; 12:729797. [PMID: 34745162 PMCID: PMC8565914 DOI: 10.3389/fpls.2021.729797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/22/2021] [Indexed: 05/04/2023]
Abstract
Tall fescue (Festuca arundinacea Schreb.) is one of the most important cool-season perennial obligatory outcrossing forage grasses in the United States. The production and persistence of tall fescue is significantly affected by drought in the south-central United States. Shoot-specific endophyte (Epichloë coenophiala)-infected tall fescue showed superior performance under both biotic and abiotic stress conditions. We performed a genome-wide association analysis using clonal pairs of novel endophyte AR584-positive (EP) and endophyte-free (EF) tall fescue populations consisting of 205 genotypes to identify marker-trait associations (MTAs) that contribute to drought tolerance. The experiment was performed through November 2014 to June 2018 in the field, and phenotypic data were taken on plant height, plant spread, plant vigor, and dry biomass weight under natural summer conditions of sporadic drought. Genotyping-by-sequencing of the population generated 3,597 high quality single nucleotide polymorphisms (SNPs) for further analysis. We identified 26 putative drought responsive MTAs (17 specific to EP, eight specific to EF, and one in both EP and EF populations) and nine of them (i.e., V.ep_10, S.ef_12, V.ep_27, HSV.ef_31, S.ep_30, SV.ef_32, V.ep_68, V.ef_56, and H.ef_57) were identified within 0.5 Mb region in the tall fescue genome (44.5-44.7, 75.3-75.8, 77.5-77.9 and 143.7-144.2 Mb). Using 26 MTAs, 11 tall fescue genotypes were selected for subsequent study to develop EP and EF drought tolerant tall fescue populations. Ten orthologous genes (six for EP and four for EF population) were identified in Brachypodium genome as potential candidates for drought tolerance in tall fescue, which were also earlier reported for their involvement in abiotic stress tolerance. The MTAs and candidate genes identified in this study will be useful for marker-assisted selection in improving drought tolerance of tall fescue as well opening avenue for further drought study in tall fescue.
Collapse
Affiliation(s)
- Shyamal K. Talukder
- Grass Genomics, Noble Research Institute LLC, Ardmore, OK, United States
- Texas A&M AgriLife Research Center, Beaumont, TX, United States
| | - Md. Shofiqul Islam
- Grass Genomics, Noble Research Institute LLC, Ardmore, OK, United States
| | - Nick Krom
- Scientific Computing, Noble Research Institute LLC, Ardmore, OK, United States
| | - Junil Chang
- Scientific Computing, Noble Research Institute LLC, Ardmore, OK, United States
| | - Malay C. Saha
- Grass Genomics, Noble Research Institute LLC, Ardmore, OK, United States
- *Correspondence: Malay C. Saha,
| |
Collapse
|
46
|
Olanrewaju OS, Oyatomi O, Babalola OO, Abberton M. Breeding Potentials of Bambara Groundnut for Food and Nutrition Security in the Face of Climate Change. FRONTIERS IN PLANT SCIENCE 2021; 12:798993. [PMID: 35069656 PMCID: PMC8768941 DOI: 10.3389/fpls.2021.798993] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 12/09/2021] [Indexed: 05/22/2023]
Abstract
Constant production of quality food should be a norm in any community, but climate change, increasing population, and unavailability of land for farming affect food production. As a result, food scarcity is affecting some communities, especially in the developing world. Finding a stable solution to this problem is a major cause of concern for researchers. Synergistic application of molecular marker techniques with next generation sequencing (NGS) technologies can unlock the potentials hidden in most crop genomes for improving yield and food availability. Most crops such as Bambara groundnut (BGN), Winged bean, and African yam bean are underutilized. These underutilized crops can compete with the major crops such as cowpea, soybean, maize, and rice, in areas of nutrition, ability to withstand drought stress, economic importance, and food production. One of these underutilized crops, BGN [Vigna subterranea (L.), Verdc.], is an indigenous African legume and can survive in tropical climates and marginal soils. In this review, we focus on the roles of BGN and the opportunities it possesses in tackling food insecurity and its benefits to local farmers. We will discuss BGN's potential impact on global food production and how the advances in NGS technologies can enhance its production.
Collapse
Affiliation(s)
- Oluwaseyi Samuel Olanrewaju
- Food Security and Safety Niche Area, Faculty of Natural and Agricultural Sciences, North-West University, Mmabatho, South Africa
- Genetic Resources Center (GRC), International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
| | - Olaniyi Oyatomi
- Genetic Resources Center (GRC), International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
| | - Olubukola Oluranti Babalola
- Food Security and Safety Niche Area, Faculty of Natural and Agricultural Sciences, North-West University, Mmabatho, South Africa
| | - Michael Abberton
- Genetic Resources Center (GRC), International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
- *Correspondence: Michael Abberton,
| |
Collapse
|
47
|
Zou G, Zhai G, Yan S, Li S, Zhou L, Ding Y, Liu H, Zhang Z, Zou J, Zhang L, Chen J, Xin Z, Tao Y. Sorghum qTGW1a encodes a G-protein subunit and acts as a negative regulator of grain size. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:5389-5401. [PMID: 32497208 DOI: 10.1093/jxb/eraa277] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 05/28/2020] [Indexed: 06/11/2023]
Abstract
Grain size is a major determinant of grain yield in sorghum and other cereals. Over 100 quantitative trait loci (QTLs) of grain size have been identified in sorghum. However, no gene underlying any grain size QTL has been cloned. Here, we describe the fine mapping and cloning of one grain size QTL. From an F8 recombinant inbred line population derived from a cross between inbred lines 654 and LTR108, we identified 44 grain size QTLs. One QTL, qTGW1a, was detected consistently on the long arm of chromosome 1 in the span of 4 years. Using the extreme recombinants from an F2:3 fine-mapping population, qTGW1a was delimited within a ~33 kb region containing three predicted genes. One of them, SORBI_3001G341700, predicted to encode a G-protein γ subunit and homologous to GS3 in rice, is likely to be the causative gene for qTGW1a. qTGW1a appears to act as a negative regulator of grain size in sorghum. The functional allele of the putatively causative gene of qTGW1a from inbred line 654 decreased grain size, plant height, and grain yield in transgenic rice. Identification of the gene underlying qTGW1a advances our understanding of the regulatory mechanisms of grain size in sorghum and provides a target to manipulate grain size through genome editing.
Collapse
Affiliation(s)
- Guihua Zou
- Institute of Crop and Nuclear Technology Utilization, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Guowei Zhai
- Institute of Crop and Nuclear Technology Utilization, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Song Yan
- Rice National Engineering Laboratory, Rice Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, China
| | - Sujuan Li
- Institute of Crop and Nuclear Technology Utilization, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Lengbo Zhou
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China
| | - Yanqing Ding
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China
| | - Heqin Liu
- Institute of Crop and Nuclear Technology Utilization, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Zhipeng Zhang
- Chinese National Sorghum Improvement Center, Liaoning Academy of Agricultural Sciences, Shenyang, China
| | - Jianqiu Zou
- Chinese National Sorghum Improvement Center, Liaoning Academy of Agricultural Sciences, Shenyang, China
| | - Liyi Zhang
- Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China
| | - Junping Chen
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, USA
| | - Zhanguo Xin
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, USA
| | - Yuezhi Tao
- Institute of Crop and Nuclear Technology Utilization, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| |
Collapse
|
48
|
Tao Y, George-Jaeggli B, Bouteillé-Pallas M, Tai S, Cruickshank A, Jordan D, Mace E. Genetic Diversity of C 4 Photosynthesis Pathway Genes in Sorghum bicolor (L.). Genes (Basel) 2020; 11:E806. [PMID: 32708598 PMCID: PMC7397294 DOI: 10.3390/genes11070806] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/09/2020] [Accepted: 07/13/2020] [Indexed: 01/28/2023] Open
Abstract
C4 photosynthesis has evolved in over 60 different plant taxa and is an excellent example of convergent evolution. Plants using the C4 photosynthetic pathway have an efficiency advantage, particularly in hot and dry environments. They account for 23% of global primary production and include some of our most productive cereals. While previous genetic studies comparing phylogenetically related C3 and C4 species have elucidated the genetic diversity underpinning the C4 photosynthetic pathway, no previous studies have described the genetic diversity of the genes involved in this pathway within a C4 crop species. Enhanced understanding of the allelic diversity and selection signatures of genes in this pathway may present opportunities to improve photosynthetic efficiency, and ultimately yield, by exploiting natural variation. Here, we present the first genetic diversity survey of 8 known C4 gene families in an important C4 crop, Sorghum bicolor (L.) Moench, using sequence data of 48 genotypes covering wild and domesticated sorghum accessions. Average nucleotide diversity of C4 gene families varied more than 20-fold from the NADP-malate dehydrogenase (MDH) gene family (θπ = 0.2 × 10-3) to the pyruvate orthophosphate dikinase (PPDK) gene family (θπ = 5.21 × 10-3). Genetic diversity of C4 genes was reduced by 22.43% in cultivated sorghum compared to wild and weedy sorghum, indicating that the group of wild and weedy sorghum may constitute an untapped reservoir for alleles related to the C4 photosynthetic pathway. A SNP-level analysis identified purifying selection signals on C4 PPDK and carbonic anhydrase (CA) genes, and balancing selection signals on C4 PPDK-regulatory protein (RP) and phosphoenolpyruvate carboxylase (PEPC) genes. Allelic distribution of these C4 genes was consistent with selection signals detected. A better understanding of the genetic diversity of C4 pathway in sorghum paves the way for mining the natural allelic variation for the improvement of photosynthesis.
Collapse
Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia; (Y.T.); (B.G.-J.); (M.B.-P.); (D.J.)
| | - Barbara George-Jaeggli
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia; (Y.T.); (B.G.-J.); (M.B.-P.); (D.J.)
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD 4370, Australia;
| | - Marie Bouteillé-Pallas
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia; (Y.T.); (B.G.-J.); (M.B.-P.); (D.J.)
| | | | - Alan Cruickshank
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD 4370, Australia;
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia; (Y.T.); (B.G.-J.); (M.B.-P.); (D.J.)
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia; (Y.T.); (B.G.-J.); (M.B.-P.); (D.J.)
- Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD 4370, Australia;
| |
Collapse
|
49
|
Kajiya-Kanegae H, Takanashi H, Fujimoto M, Ishimori M, Ohnishi N, Wacera W F, Omollo EA, Kobayashi M, Yano K, Nakano M, Kozuka T, Kusaba M, Iwata H, Tsutsumi N, Sakamoto W. RAD-seq-Based High-Density Linkage Map Construction and QTL Mapping of Biomass-Related Traits in Sorghum using the Japanese Landrace Takakibi NOG. PLANT & CELL PHYSIOLOGY 2020; 61:1262-1272. [PMID: 32353144 DOI: 10.1093/pcp/pcaa056] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 04/21/2020] [Indexed: 06/11/2023]
Abstract
Sorghum [Sorghum bicolor (L.) Moench] grown locally by Japanese farmers is generically termed Takakibi, although its genetic diversity compared with geographically distant varieties or even within Takakibi lines remains unclear. To explore the genomic diversity and genetic traits controlling biomass and other physiological traits in Takakibi, we focused on a landrace, NOG, in this study. Admixture analysis of 460 sorghum accessions revealed that NOG belonged to the subgroup that represented Asian sorghums, and it was only distantly related to American/African accessions including BTx623. In an attempt to dissect major traits related to biomass, we generated a recombinant inbred line (RIL) from a cross between BTx623 and NOG, and we constructed a high-density linkage map based on 3,710 single-nucleotide polymorphisms obtained by restriction-site-associated DNA sequencing of 213 RIL individuals. Consequently, 13 fine quantitative trait loci (QTLs) were detected on chromosomes 2, 3, 6, 7, 8 and 9, which included five QTLs for days to heading, three for plant height (PH) and total shoot fresh weight and two for Brix. Furthermore, we identified two dominant loci for PH as being identical to the previously reported dw1 and dw3. Together, these results corroborate the diversified genome of Japanese Takakibi, while the RIL population and high-density linkage map generated in this study will be useful for dissecting other important traits in sorghum.
Collapse
Affiliation(s)
- Hiromi Kajiya-Kanegae
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8517, Japan
| | - Hideki Takanashi
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Masaru Fujimoto
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Motoyuki Ishimori
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Norikazu Ohnishi
- Institute of Plant Science and Resources, Okayama University, Kurashiki, Okayama, 710-0046 Japan
| | - Fiona Wacera W
- Institute of Plant Science and Resources, Okayama University, Kurashiki, Okayama, 710-0046 Japan
| | - Everlyne A Omollo
- Institute of Plant Science and Resources, Okayama University, Kurashiki, Okayama, 710-0046 Japan
| | - Masaaki Kobayashi
- Department of Life Sciences Faculty of Agriculture, Meiji University, Kawasaki, Kanagawa, 214-8571 Japan
| | - Kentaro Yano
- Department of Life Sciences Faculty of Agriculture, Meiji University, Kawasaki, Kanagawa, 214-8571 Japan
| | - Michiharu Nakano
- Graduate School of Integral Science for Life, Hiroshima University, Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8526 Japan
| | - Toshiaki Kozuka
- Graduate School of Integral Science for Life, Hiroshima University, Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8526 Japan
| | - Makoto Kusaba
- Graduate School of Integral Science for Life, Hiroshima University, Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8526 Japan
| | - Hiroyoshi Iwata
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Nobuhiro Tsutsumi
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Wataru Sakamoto
- Institute of Plant Science and Resources, Okayama University, Kurashiki, Okayama, 710-0046 Japan
| |
Collapse
|