1
|
Ahn E, Prom LK, Park S, Hu Z, Magill CW. Genome-Wide Association Analysis Uncovers Genes Associated with Resistance to Head Smut Pathotype 5 in Senegalese Sorghum Accessions. PLANTS (BASEL, SWITZERLAND) 2024; 13:977. [PMID: 38611506 PMCID: PMC11013943 DOI: 10.3390/plants13070977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 03/18/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024]
Abstract
A newly documented pathotype 5 of the soil-borne fungus Sporisorium reilianum, causing head smut in sorghum, was tested against 153 unexplored Senegalese sorghum accessions. Among the 153 sorghum accessions tested, 63 (41%) exhibited complete resistance, showing no signs of infection by the fungus. The remaining 90 accessions (59%) displayed varying degrees of susceptibility. Sorghum responses against S. reilianum were explored to analyze the potential link with previously known seed morphology-related traits and new phenotype data from 59 lines for seed weight. A genome-wide association study (GWAS) screened 297,876 SNPs and identified highly significant associations (p < 1 × 10-5) with head smut resistance in sorghum. By mapping these significant SNPs to the reference genome, this study revealed 35 novel candidate defense genes potentially involved in disease resistance.
Collapse
Affiliation(s)
- Ezekiel Ahn
- USDA-ARS Sustainable Perennial Crops Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;
| | - Louis K. Prom
- USDA-ARS Southern Plains Agricultural Research Center, College Station, TX 77845, USA;
| | - Sunchung Park
- USDA-ARS Sustainable Perennial Crops Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;
| | - Zhenbin Hu
- USDA-ARS Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;
| | - Clint W. Magill
- Department of Plant Pathology & Microbiology, Texas A&M University, College Station, TX 77843, USA
| |
Collapse
|
2
|
Zhang Y, Chen J, Gao Z, Wang H, Liang D, Guo Q, Zhang X, Fan X, Wu Y, Liu Q. Identification of heterosis and combining ability in the hybrids of male sterile and restorer sorghum [Sorghum bicolor (L.) Moench] lines. PLoS One 2024; 19:e0296416. [PMID: 38166022 PMCID: PMC10760902 DOI: 10.1371/journal.pone.0296416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 12/12/2023] [Indexed: 01/04/2024] Open
Abstract
In sorghum [Sorghum bicolor (L.) Moench], combining ability and heterosis analysis are commonly used to evaluate superior parental lines and to screen for strongly heterotic hybrids, which helps in sorghum variety selection and breeding. In this context, combining ability and heterosis analysis were assessed using 14 restorer lines and seven cytoplasmic male sterile (CMS) lines in 2019 and 2020. The analysis of variance of all cross combinations had highly significant differences for all characters studied, which indicated a wide variation across the parents, lines, testers, and crosses. Combining ability analysis showed that the general combining ability (GCA) and specific combining ability (SCA) of the different parents were differed significantly among different traits. Most combinations with high SCA also showed high GCA in their parent lines. The heritability in the narrow sense of grain weight per panicle and grain yield was relatively low, indicating that the ability of these traits to be directly inherited by offspring was weak, that they were greatly affected by the environment. The better-parent heterosis for plant height, grain weight per panicle, panicle length, and 1000-grain weight was consistent with the order of mid-parent heterosis from strong to weak. The GCA effects of two lines 10480A, 3765A and three testers 0-30R, R111, and JY15R were significant for the majority of the agronomic traits including grain yield and might be used for improving the yield of grains in sorghum as parents of excellent specific combining ability. Seven strongly heterotic F1 hybrids were screened; of these, hybrids 3765A × R111, 1102A × L2R, and 3765A × JY15R showed significant increases in seed iristectorigenin A content and will feature into the creation of new sorghum varieties rich in iristectorigenin A.
Collapse
Affiliation(s)
- Yizhong Zhang
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, People’s Republic of China
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci, Shanxi, People’s Republic of China
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Jing Chen
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, People’s Republic of China
| | - Zhenfeng Gao
- College of Food Science and Engineering, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Huiyan Wang
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci, Shanxi, People’s Republic of China
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Du Liang
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci, Shanxi, People’s Republic of China
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Qi Guo
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci, Shanxi, People’s Republic of China
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Xiaojuan Zhang
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci, Shanxi, People’s Republic of China
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Xinqi Fan
- Sorghum Research Institute, Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Shanxi Agricultural University, Yuci, Shanxi, People’s Republic of China
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| | - Yuxiang Wu
- College of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, People’s Republic of China
| | - Qingshan Liu
- National Laboratory of Minor Crops Germplasm Innovation and Molecular Breeding (in preparation), State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi, People’s Republic of China
| |
Collapse
|
3
|
Kumar N, Boatwright JL, Sapkota S, Brenton ZW, Ballén-Taborda C, Myers MT, Cox WA, Jordan KE, Kresovich S, Boyles RE. Discovering useful genetic variation in the seed parent gene pool for sorghum improvement. Front Genet 2023; 14:1221148. [PMID: 37790706 PMCID: PMC10544336 DOI: 10.3389/fgene.2023.1221148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 09/04/2023] [Indexed: 10/05/2023] Open
Abstract
Multi-parent populations contain valuable genetic material for dissecting complex, quantitative traits and provide a unique opportunity to capture multi-allelic variation compared to the biparental populations. A multi-parent advanced generation inter-cross (MAGIC) B-line (MBL) population composed of 708 F6 recombinant inbred lines (RILs), was recently developed from four diverse founders. These selected founders strategically represented the four most prevalent botanical races (kafir, guinea, durra, and caudatum) to capture a significant source of genetic variation to study the quantitative traits in grain sorghum [Sorghum bicolor (L.) Moench]. MBL was phenotyped at two field locations for seven yield-influencing traits: panicle type (PT), days to anthesis (DTA), plant height (PH), grain yield (GY), 1000-grain weight (TGW), tiller number per meter (TN) and yield per panicle (YPP). High phenotypic variation was observed for all the quantitative traits, with broad-sense heritabilities ranging from 0.34 (TN) to 0.84 (PH). The entire population was genotyped using Diversity Arrays Technology (DArTseq), and 8,800 single nucleotide polymorphisms (SNPs) were generated. A set of polymorphic, quality-filtered markers (3,751 SNPs) and phenotypic data were used for genome-wide association studies (GWAS). We identified 52 marker-trait associations (MTAs) for the seven traits using BLUPs generated from replicated plots in two locations. We also identified desirable allelic combinations based on the plant height loci (Dw1, Dw2, and Dw3), which influences yield related traits. Additionally, two novel MTAs were identified each on Chr1 and Chr7 for yield traits independent of dwarfing genes. We further performed a multi-variate adaptive shrinkage analysis and 15 MTAs with pleiotropic effect were identified. The five best performing MBL progenies were selected carrying desirable allelic combinations. Since the MBL population was designed to capture significant diversity for maintainer line (B-line) accessions, these progenies can serve as valuable resources to develop superior sorghum hybrids after validation of their general combining abilities via crossing with elite pollinators. Further, newly identified desirable allelic combinations can be used to enrich the maintainer germplasm lines through marker-assisted backcross breeding.
Collapse
Affiliation(s)
- Neeraj Kumar
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - J. Lucas Boatwright
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - Sirjan Sapkota
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
| | - Zachary W. Brenton
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Carolina Seed Systems, Darlington, SC, United States
| | - Carolina Ballén-Taborda
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
- Pee Dee Research and Education Center, Clemson University, Florence, SC, United States
| | - Matthew T. Myers
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - William A. Cox
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - Kathleen E. Jordan
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
| | - Stephen Kresovich
- Advanced Plant Technology, Clemson University, Clemson, SC, United States
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
- Feed the Future Innovation Lab for Crop Improvement, Cornell University, Ithaca, NY, United States
| | - Richard E. Boyles
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, United States
- Pee Dee Research and Education Center, Clemson University, Florence, SC, United States
| |
Collapse
|
4
|
Ro N, Haile M, Ko HC, Cho GT, Lee J, Kim B, Lee S, Kim SH. Genome-Wide Association Study of Phenolic Content and Antioxidant Properties in Eggplant Germplasm. Genes (Basel) 2023; 14:1315. [PMID: 37510220 PMCID: PMC10379237 DOI: 10.3390/genes14071315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
The phenolic compounds in eggplant offer potential natural antioxidants for improved health. A large number of samples were examined in order to find eggplant germplasm with a high potential for health promotion. A genome-wide association study (GWAS) was conducted to identify single nucleotide polymorphisms (SNPs) associated with variations in total phenolic content (TPC) and antioxidant activity in eggplants, including ABTS (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) scavenging activity and ferric reducing antioxidant power (FRAP). TPC values varied from 14.19 to 842.90 mg gallic acid equivalent (GAE)/100 g of dry weight of eggplant fruit powder. TPC showed a strong positive correlation with both FRAP and ABTS (r = 0.89 *** and 0.77 ***, respectively). The GWAS identified 20 SNPs that were significantly associated out of 29,183 SNPs. Out of the 20 significant SNPs, 11 showed associations with TPC, 4 with ABTS activity, and 5 with FRAP. Among the SNPs associated with TPC, one SNP was found on each of Chromosomes 3, 4, 7, and 12. In contrast, Chromosome 5 comprised two SNPs associated to TPC. Furthermore, the gene encoding IRX12 laccase-4 on Chromosome 10 was found to contain five SNPs associated with TPC. Four significantly linked SNPs on Chromosomes 1 (1 SNP), 4 (2 SNPs), and 10 (1 SNP) were found to be related to ABTS activity. The identified SNPs will be further examined as markers for selecting desirable eggplant varieties and exploring the links between candidate genes, phenolic content, and antioxidant activity. The findings of this study could assist in further study and the development of eggplants with improved health advantages through targeted breeding.
Collapse
Affiliation(s)
- Nayoung Ro
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Mesfin Haile
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Ho-Cheol Ko
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Gyu-Taek Cho
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Jungro Lee
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Bichsaem Kim
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Sookyeong Lee
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| | - Seong-Hoon Kim
- National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Republic of Korea
| |
Collapse
|
5
|
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
|
6
|
Wondimu Z, Dong H, Paterson AH, Worku W, Bantte K. Genome-wide association study reveals genomic loci influencing agronomic traits in Ethiopian sorghum ( Sorghum bicolor (L.) Moench) landraces. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:32. [PMID: 37312746 PMCID: PMC10248676 DOI: 10.1007/s11032-023-01381-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 04/11/2023] [Indexed: 06/15/2023]
Abstract
Uncovering the genetic basis of agronomic traits in sorghum landraces that have adapted to various agro-climatic conditions would contribute to sorghum improvement efforts around the world. To identify quantitative trait nucleotides (QTNs) associated with nine agronomic traits in a panel of 304 sorghum accessions collected from diverse environments across Ethiopia (considered to be the center of origin and diversity), multi-locus genome-wide association studies (ML-GWAS) were performed using 79,754 high quality single nucleotide polymorphism (SNP) markers. Association analyses using six ML-GWAS models identified a set of 338 significantly (LOD ≥ 3)-associated QTNs for nine agronomic traits of sorghum accessions evaluated in two environments (E1 and E2) and their combined dataset (Em). Of these, 121 reliable QTNs, including 13 for flowering time (DF), 13 for plant height (PH), 9 for tiller number (TN), 15 for panicle weight (PWT), 30 for grain yield per panicle (GYP), 12 for structural panicle mass (SPM), 13 for hundred seed weight (HSW), 6 for grain number per panicle (GNP), and 10 for panicle exertion (PE) were consistently detected by at least three ML-GWAS methods and/or in two different environments. Notably, Ethylene responsive transcription factor gene AP2/ERF, known for regulation of plant growth, and the sorghum Terminal flower1/TF1 gene, which functions in the control of floral architecture, were identified as strong candidate genes associated with PH and HSW, respectively. This study provides an entry point for further validation studies to elucidate complex mechanisms controlling important agronomic traits in sorghum. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01381-5.
Collapse
Affiliation(s)
- Zeleke Wondimu
- College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia
| | - Hongxu Dong
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602 USA
| | - Andrew H. Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602 USA
| | - Walelign Worku
- College of Agriculture, Hawassa University, P.O. Box 05, Hawassa, Ethiopia
| | - Kassahun Bantte
- College of Agriculture and Veterinary Medicine, Jimma University, P.O. Box 307, Jimma, Ethiopia
| |
Collapse
|
7
|
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
|
8
|
Takanashi H. Genetic control of morphological traits useful for improving sorghum. BREEDING SCIENCE 2023; 73:57-69. [PMID: 37168813 PMCID: PMC10165342 DOI: 10.1270/jsbbs.22069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/14/2022] [Indexed: 05/13/2023]
Abstract
Global climate change and global warming, coupled with the growing population, have raised concerns about sustainable food supply and bioenergy demand. Sorghum [Sorghum bicolor (L.) Moench] ranks fifth among cereals produced worldwide; it is a C4 crop with a higher stress tolerance than other major cereals and has a wide range of uses, such as grains, forage, and biomass. Therefore, sorghum has attracted attention as a promising crop for achieving sustainable development goals (SDGs). In addition, sorghum is a suitable genetic model for C4 grasses because of its high morphological diversity and relatively small genome size compared to other C4 grasses. Although sorghum breeding and genetic studies have lagged compared to other crops such as rice and maize, recent advances in research have identified several genes and many quantitative trait loci (QTLs) that control important agronomic traits in sorghum. This review outlines traits and genetic information with a focus on morphogenetic aspects that may be useful in sorghum breeding for grain and biomass utilization.
Collapse
Affiliation(s)
- Hideki Takanashi
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
- Corresponding author (e-mail: )
| |
Collapse
|
9
|
Wenndt A, Boyles R, Ackerman A, Sapkota S, Repka A, Nelson R. Host Determinants of Fungal Species Composition and Symptom Manifestation in the Sorghum Grain Mold Disease Complex. PLANT DISEASE 2023; 107:315-325. [PMID: 36800304 DOI: 10.1094/pdis-03-22-0675-re] [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: 06/18/2023]
Abstract
Sorghum grain mold (SGM) is an important multifungal disease complex affecting sorghum (Sorghum bicolor) production systems worldwide. SGM-affected sorghum grain can be contaminated with potent fumonisin mycotoxins produced by Fusarium verticillioides, a prevalent SGM-associated taxon. Historically, efforts to improve resistance to SGM have achieved only limited success. Classical approaches to evaluating SGM resistance are based solely on disease severity, which offers little insight regarding the distinct symptom manifestations within the disease complex. In this study, three novel phenotypes were developed to facilitate assessment of SGM symptom manifestation. A sorghum diversity panel composed of 390 accessions was inoculated with endogenous strains of F. verticillioides and evaluated for these phenotypes, as well as for the conventional panicle grain mold severity rating phenotype, in South Carolina, U.S.A., in 2017 and 2019. Distributions of phenotype values were examined, broad-sense heritability was estimated, and relationships to botanical race were explored. A typology of SGM symptom manifestations was developed to classify accessions using principal component analysis and k-means clustering, constituting a novel option for basing breeding decisions on SGM outcomes more nuanced than disease severity. Genome-wide association studies were performed using SGM trait data, resulting in the identification of 19 significant single nucleotide polymorphisms in linkage disequilibrium with a total of 86 gene models. Our findings provide a basis of exploratory evidence regarding the genetic architecture of SGM symptom manifestation and indicate that traits other than disease severity could be tractable targets for SGM resistance breeding.
Collapse
Affiliation(s)
- Anthony Wenndt
- Plant Pathology and Plant-Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853
| | - Richard Boyles
- Plant and Environmental Sciences, Pee Dee Research and Education Center, Clemson University, Florence, SC 29506
| | - Arlyn Ackerman
- Plant and Environmental Sciences, Pee Dee Research and Education Center, Clemson University, Florence, SC 29506
| | - Sirjan Sapkota
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634
| | - Ace Repka
- Plant Pathology and Plant-Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853
| | - Rebecca Nelson
- Plant Pathology and Plant-Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853
| |
Collapse
|
10
|
Nagesh Kumar MV, Ramya V, Govindaraj M, Dandapani A, Maheshwaramma S, Ganapathy KN, Kavitha K, Goverdhan M, Jagadeeshwar R. India's rainfed sorghum improvement: Three decades of genetic gain assessment for yield, grain quality, grain mold and shoot fly resistance. FRONTIERS IN PLANT SCIENCE 2022; 13:1056040. [PMID: 36600924 PMCID: PMC9806348 DOI: 10.3389/fpls.2022.1056040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Sorghum is a climate-resilient cereal and staple food crop for more than 200 million people in arid and semi-arid countries of Asia and Africa. Despite the economic importance, the productivity of sorghum in India is constrained by biotic and abiotic stresses such as incidences of shoot fly, grain mold and drought. Indian sorghum breeding focused on dual-purpose (grain and fodder), short-duration varieties with multiple resistance/tolerance to pests and diseases and improved nutritional quality (high protein, iron and zinc and low fat). In this context, it is important to ascertain the genetic progress made over 30 years by assessing the efficiency of past achievements in genetic yield potential and to facilitate future genetic improvement. The current study determined the genetic gain in 24 sorghum varieties developed by the national and state level research systems during 1990-2020. The 24 varieties were evaluated for three years (2018-2020) at six locations in Telangana state for yield, nutritional characteristics and tolerance to shoot fly and grain mold. The absolute grain yield genetic gain from the base year 1990 is 44.93 kg/ha/yr over the first released variety CSV 15. The realized mean yield increased from 2658 kg/ha of the variety CSV 15 in 1990s to 4069 kg/ha of SPV 2579 developed in 2020s. The absolute genetic gain for grain mold resistance is -0.11 per year with an overall relative gain of 1.46% over CSV 15. The top varieties for grain yield (SPV 2579, SPV 2678 and SPV 2578), fodder yield (PYPS 2, SPV 2769 and SPV 2679), shoot fly tolerance (PYPS 8, PYPS 2 and SPV 2179), mold tolerance (PYPS 8, PYPS 2 and SPV 2579) and high protein (PYPS 8, PYPS 2 and SPV 2769) were identified for possible scale up and further use in breeding program diversification. The study revealed that sorghum varieties bred with diverse genetic backgrounds such as landraces and with tolerance to pests and diseases had stable yield performance. Application of genomics and other precision tools can double genetic gains for these traits to strengthen sorghum cultivation in rainfed areas serving food and nutrition security.
Collapse
Affiliation(s)
| | - Vittal Ramya
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India
| | - Mahalingam Govindaraj
- HarvestPlus program, The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Appavoo Dandapani
- Indian Council of Agricultural Research-National Academy of Agricultural Research Management, Rajendranagar, Hyderabad, Telangana, India
| | - Setaboyine Maheshwaramma
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India
| | - Kuyyamudi Nanaiah Ganapathy
- Indian Council of Agricultural Research -Indian Institute of Millets Research Rajendranagar, Hyderabad, Telangana, India
| | - Kosnam Kavitha
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India
| | - Manthati Goverdhan
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India
| | - Rumandla Jagadeeshwar
- Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India
| |
Collapse
|
11
|
Enyew M, Feyissa T, Carlsson AS, Tesfaye K, Hammenhag C, Seyoum A, Geleta M. Genome-wide analyses using multi-locus models revealed marker-trait associations for major agronomic traits in Sorghum bicolor. FRONTIERS IN PLANT SCIENCE 2022; 13:999692. [PMID: 36275578 PMCID: PMC9585286 DOI: 10.3389/fpls.2022.999692] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/14/2022] [Indexed: 06/01/2023]
Abstract
Globally, sorghum is the fifth most important cereal crop, and it is a major crop in Ethiopia, where it has a high genetic diversity. The country's sorghum gene pool contributes significantly to sorghum improvement worldwide. This study aimed to identify genomic regions and candidate genes associated with major agronomic traits in sorghum by using its genetic resources in Ethiopia for a genome-wide association study (GWAS). Phenotypic data of days to flowering (DTF), plant height (PH), panicle length (PALH), panicle width (PAWD), panicle weight (PAWT), and grain yield (GY) were collected from a GWAS panel comprising 324 sorghum accessions grown in three environments. SeqSNP, a targeted genotyping method, was used to genotype the panel using 5,000 gene-based single nucleotide polymorphism (SNP) markers. For marker-trait association (MTA) analyses, fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK) models were used. In all traits, high phenotypic variation was observed, with broad-sense heritability ranging from 0.32 (for GY) to 0.90 (for PALH). A population structure, principal component analysis, and kinship analysis revealed that the accessions could be divided into two groups. In total, 54 MTAs were identified, 11 of which were detected by both BLINK and farmCPU. MTAs identified for each trait ranged from five (PAWT and GY) to fourteen (PH) representing both novel and previously identified quantitative trait loci (QTLs). Three SNPs were associated with more than one trait, including a SNP within the Sobic.004G189200 gene that was associated with PH and PAWT. Major effect SNP loci, Sbi2393610 (PVE = 23.3%), Sbi10438246 (PVE = 35.2%), Sbi17789352 (PVE = 11.9%) and Sbi30169733 (PVE = 18.9%) on chromosomes 1, 3, 5 and 9 that showed strong association signals for PAWD, DTF, GY and PALH, respectively, were major findings of this study. The SNP markers and candidate genes identified in this study provide insights into the genetic control of grain yield and related agronomic traits, and once validated, the markers could be used in genomics-led breeding.
Collapse
Affiliation(s)
- Muluken Enyew
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - Tileye Feyissa
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Anders S. Carlsson
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - Kassahun Tesfaye
- Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
- Ethiopian Biotechnology Institute, Addis Ababa, Ethiopia
| | - Cecilia Hammenhag
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - Amare Seyoum
- National Sorghum Research Program, Crop Research Department, Melkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Adama, Ethiopia
| | - Mulatu Geleta
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| |
Collapse
|
12
|
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
|
13
|
Boatwright JL, Sapkota S, Jin H, Schnable JC, Brenton Z, Boyles R, Kresovich S. Sorghum Association Panel whole-genome sequencing establishes cornerstone resource for dissecting genomic diversity. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 111:888-904. [PMID: 35653240 PMCID: PMC9544330 DOI: 10.1111/tpj.15853] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/27/2022] [Accepted: 05/28/2022] [Indexed: 05/26/2023]
Abstract
Association mapping panels represent foundational resources for understanding the genetic basis of phenotypic diversity and serve to advance plant breeding by exploring genetic variation across diverse accessions. We report the whole-genome sequencing (WGS) of 400 sorghum (Sorghum bicolor (L.) Moench) accessions from the Sorghum Association Panel (SAP) at an average coverage of 38× (25-72×), enabling the development of a high-density genomic marker set of 43 983 694 variants including single-nucleotide polymorphisms (approximately 38 million), insertions/deletions (indels) (approximately 5 million), and copy number variants (CNVs) (approximately 170 000). We observe slightly more deletions among indels and a much higher prevalence of deletions among CNVs compared to insertions. This new marker set enabled the identification of several novel putative genomic associations for plant height and tannin content, which were not identified when using previous lower-density marker sets. WGS identified and scored variants in 5-kb bins where available genotyping-by-sequencing (GBS) data captured no variants, with half of all bins in the genome falling into this category. The predictive ability of genomic best unbiased linear predictor (GBLUP) models was increased by an average of 30% by using WGS markers rather than GBS markers. We identified 18 selection peaks across subpopulations that formed due to evolutionary divergence during domestication, and we found six Fst peaks resulting from comparisons between converted lines and breeding lines within the SAP that were distinct from the peaks associated with historic selection. This population has served and continues to serve as a significant public resource for sorghum research and demonstrates the value of improving upon existing genomic resources.
Collapse
Affiliation(s)
- J. Lucas Boatwright
- Department of Plant and Environmental SciencesClemson UniversityClemsonSouth Carolina29634USA
- Advanced Plant TechnologyClemson UniversityClemsonSouth Carolina29634USA
| | - Sirjan Sapkota
- Advanced Plant TechnologyClemson UniversityClemsonSouth Carolina29634USA
| | - Hongyu Jin
- Center for Plant Science Innovation and Department of Agronomy and HorticultureUniversity of Nebraska‐LincolnLincolnNebraska68588USA
| | - James C. Schnable
- Center for Plant Science Innovation and Department of Agronomy and HorticultureUniversity of Nebraska‐LincolnLincolnNebraska68588USA
| | | | - Richard Boyles
- Department of Plant and Environmental SciencesClemson UniversityClemsonSouth Carolina29634USA
- Pee Dee Research and Education CenterClemson UniversityFlorenceSouth Carolina29506USA
| | - Stephen Kresovich
- Department of Plant and Environmental SciencesClemson UniversityClemsonSouth Carolina29634USA
- Advanced Plant TechnologyClemson UniversityClemsonSouth Carolina29634USA
- Feed the Future Innovation Lab for Crop ImprovementCornell UniversityIthacaNew York14850USA
| |
Collapse
|
14
|
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
|
15
|
Poosapati S, Poretsky E, Dressano K, Ruiz M, Vazquez A, Sandoval E, Estrada-Cardenas A, Duggal S, Lim JH, Morris G, Szczepaniec A, Walse SS, Ni X, Schmelz EA, Huffaker A. A sorghum genome-wide association study (GWAS) identifies a WRKY transcription factor as a candidate gene underlying sugarcane aphid (Melanaphis sacchari) resistance. PLANTA 2022; 255:37. [PMID: 35020066 DOI: 10.1007/s00425-021-03814-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/19/2021] [Indexed: 06/14/2023]
Abstract
A WRKY transcription factor identified through forward genetics is associated with sorghum resistance to the sugarcane aphid and through heterologous expression reduces aphid populations in multiple plant species. Crop plant resistance to insect pests is based on genetically encoded traits which often display variability across diverse germplasm. In a comparatively recent event, a predominant sugarcane aphid (SCA: Melanaphis sacchari) biotype has become a significant agronomic pest of grain sorghum (Sorghum bicolor). To uncover candidate genes underlying SCA resistance, we used a forward genetics approach combining the genetic diversity present in the Sorghum Association Panel (SAP) and the Bioenergy Association Panel (BAP) for a genome-wide association study, employing an established SCA damage rating. One major association was found on Chromosome 9 within the WRKY transcription factor 86 (SbWRKY86). Transcripts encoding SbWRKY86 were previously identified as upregulated in SCA-resistant germplasm and the syntenic ortholog in maize accumulates following Rhopalosiphum maidis infestation. Analyses of SbWRKY86 transcripts displayed patterns of increased SCA-elicited accumulation in additional SCA-resistant sorghum lines. Heterologous expression of SbWRKY86 in both tobacco (Nicotiana benthamiana) and Arabidopsis resulted in reduced population growth of green peach aphid (Myzus persicae). Comparative RNA-Seq analyses of Arabidopsis lines expressing 35S:SbWRKY86-YFP identified changes in expression for a small network of genes associated with carbon-nitrogen metabolism and callose deposition, both contributing factors to defense against aphids. As a test of altered plant responses, 35S:SbWRKY86-YFP Arabidopsis lines were activated using the flagellin epitope elicitor, flg22, and displayed significant increases in callose deposition. Our findings indicate that both heterologous and increased native expression of the transcription factor SbWRKY86 contributes to reduced aphid levels in diverse plant models.
Collapse
Affiliation(s)
- Sowmya Poosapati
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Elly Poretsky
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Keini Dressano
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Miguel Ruiz
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Armando Vazquez
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Evan Sandoval
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Adelaida Estrada-Cardenas
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Sarthak Duggal
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Jia-Hui Lim
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Geoffrey Morris
- Soil and Crop Sciences, Colorado State University, 307 University Ave., Fort Collins, CO, 80523-1177, USA
| | - Adrianna Szczepaniec
- Agricultural Biology, Colorado State University, 307 University Ave., Fort Collins, CO, 80523-1177, USA
| | - Spencer S Walse
- USDA-Agricultural Research Service, San Joaquin Valley Agricultural Sciences Center, 9611 South Riverbend Avenue, Parlier, CA, 93648-9757, USA
| | - Xinzhi Ni
- Crop Genetics and Breeding Research Unit, USDA-ARS, 115 Coastal Way, Tifton, GA, 31793, USA
| | - Eric A Schmelz
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA
| | - Alisa Huffaker
- Section of Cell and Developmental Biology, University of California at San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0116, USA.
| |
Collapse
|
16
|
Chakrabarty S, Kravcov N, Schaffasz A, Snowdon RJ, Wittkop B, Windpassinger S. Genetic Architecture of Novel Sources for Reproductive Cold Tolerance in Sorghum. FRONTIERS IN PLANT SCIENCE 2021; 12:772177. [PMID: 34899798 PMCID: PMC8652046 DOI: 10.3389/fpls.2021.772177] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 10/19/2021] [Indexed: 06/02/2023]
Abstract
Enhancements in reproductive cold tolerance of sorghum are essential to expand growing areas into both high-latitude temperate areas and tropical high-altitude environments. Here we present first insights into the genetic architecture of this trait via genome-wide association studies in a broad genetic diversity set (n = 330) phenotyped in multi-location field trials including high-altitude tropical (Mexico) and high-latitude temperate (Germany) environments. We observed a high degree of phenotypic variation and identified several novel, temperate-adapted accessions with superior and environmentally stable cold tolerance. Good heritability indicates strong potential for implementation of reproductive cold tolerance in breeding. Although the trait was found to be strongly quantitative, promising genomic regions with multiple-trait associations were found, including hotspots on chromosomes 3 and 10 which contain candidate genes implicated in different developmental and survival processes under abiotic stress conditions.
Collapse
Affiliation(s)
| | | | | | | | | | - Steffen Windpassinger
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University Giessen, Giessen, Germany
| |
Collapse
|
17
|
Denault WRP, Gjessing HK, Juodakis J, Jacobsson B, Jugessur A. Wavelet Screening: a novel approach to analyzing GWAS data. BMC Bioinformatics 2021; 22:484. [PMID: 34620077 PMCID: PMC8499521 DOI: 10.1186/s12859-021-04356-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Background Traditional methods for single-variant genome-wide association study (GWAS) incur a substantial multiple-testing burden because of the need to test for associations with a vast number of single-nucleotide polymorphisms (SNPs) simultaneously. Further, by ignoring more complex joint effects of nearby SNPs within a given region, these methods fail to consider the genomic context of an association with the outcome. Results To address these shortcomings, we present a more powerful method for GWAS, coined ‘Wavelet Screening’ (WS), that greatly reduces the number of tests to be performed. This is achieved through the use of a sliding-window approach based on wavelets to sequentially screen the entire genome for associations. Wavelets are oscillatory functions that are useful for analyzing the local frequency and time behavior of signals. The signals can then be divided into different scale components and analyzed separately. In the current setting, we consider a sequence of SNPs as a genetic signal, and for each screened region, we transform the genetic signal into the wavelet space. The null and alternative hypotheses are modeled using the posterior distribution of the wavelet coefficients. WS is enhanced by using additional information from the regression coefficients and by taking advantage of the pyramidal structure of wavelets. When faced with more complex genetic signals than single-SNP associations, we show via simulations that WS provides a substantial gain in power compared to both the traditional GWAS modeling and another popular regional association test called SNP-set (Sequence) Kernel Association Test (SKAT). To demonstrate feasibility, we applied WS to a large Norwegian cohort (N=8006) with genotypes and information available on gestational duration. Conclusions WS is a powerful and versatile approach to analyzing whole-genome data and lends itself easily to investigating various omics data types. Given its broader focus on the genomic context of an association, WS may provide additional insight into trait etiology by revealing genes and loci that might have been missed by previous efforts.
Collapse
Affiliation(s)
- William R P Denault
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway. .,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway. .,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
| | - Håkon K Gjessing
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Julius Juodakis
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bo Jacobsson
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Astanand Jugessur
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| |
Collapse
|
18
|
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
|
19
|
Boatwright JL, Brenton ZW, Boyles RE, Sapkota S, Myers MT, Jordan KE, Dale SM, Shakoor N, Cooper EA, Morris GP, Kresovich S. Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics. G3-GENES GENOMES GENETICS 2021; 11:6157831. [PMID: 33681979 PMCID: PMC8759819 DOI: 10.1093/g3journal/jkab060] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 02/18/2021] [Indexed: 12/03/2022]
Abstract
Sorghum bicolor, a photosynthetically efficient C4 grass, represents an important source of grain, forage, fermentable sugars, and cellulosic fibers that can be utilized in myriad applications ranging from bioenergy to bioindustrial feedstocks. Sorghum’s efficient fixation of carbon per unit time per unit area per unit input has led to its classification as a preferred biomass crop highlighted by its designation as an advanced biofuel by the U.S. Department of Energy. Due to its extensive genetic diversity and worldwide colonization, sorghum has considerable diversity for a range of phenotypes influencing productivity, composition, and sink/source dynamics. To dissect the genetic basis of these key traits, we present a sorghum carbon-partitioning nested association mapping (NAM) population generated by crossing 11 diverse founder lines with Grassl as the single recurrent female. By exploiting existing variation among cellulosic, forage, sweet, and grain sorghum carbon partitioning regimes, the sorghum carbon-partitioning NAM population will allow the identification of important biomass-associated traits, elucidate the genetic architecture underlying carbon partitioning and improve our understanding of the genetic determinants affecting unique phenotypes within Poaceae. We contrast this NAM population with an existing grain population generated using Tx430 as the recurrent female. Genotypic data are assessed for quality by examining variant density, nucleotide diversity, linkage decay, and are validated using pericarp and testa phenotypes to map known genes affecting these phenotypes. We release the 11-family NAM population along with corresponding genomic data for use in genetic, genomic, and agronomic studies with a focus on carbon-partitioning regimes.
Collapse
Affiliation(s)
- J Lucas Boatwright
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| | - Zachary W Brenton
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Carolina Seed Systems, Darlington, SC 29532, USA
| | - Richard E Boyles
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| | - Sirjan Sapkota
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Matthew T Myers
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Kathleen E Jordan
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Savanah M Dale
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA
| | - Nadia Shakoor
- Donald Danforth Plant Science Center, St. Louis, MI 63132, USA
| | - Elizabeth A Cooper
- Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 27705, USA
| | - Geoffrey P Morris
- Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA
| | - Stephen Kresovich
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA.,Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
| |
Collapse
|
20
|
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
|
21
|
Mural RV, Grzybowski M, Miao C, Damke A, Sapkota S, Boyles RE, Salas Fernandez MG, Schnable PS, Sigmon B, Kresovich S, Schnable JC. Meta-Analysis Identifies Pleiotropic Loci Controlling Phenotypic Trade-offs in Sorghum. Genetics 2021; 218:6294935. [PMID: 34100945 PMCID: PMC9335936 DOI: 10.1093/genetics/iyab087] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/07/2021] [Indexed: 01/03/2023] Open
Abstract
Community association populations are composed of phenotypically and genetically diverse accessions. Once these populations are genotyped, the resulting marker data can be reused by different groups investigating the genetic basis of different traits. Because the same genotypes are observed and scored for a wide range of traits in different environments, these populations represent a unique resource to investigate pleiotropy. Here we assembled a set of 234 separate trait datasets for the Sorghum Association Panel, a group of 406 sorghum genotypes widely employed by the sorghum genetics community. Comparison of genome wide association studies conducted with two independently generated marker sets for this population demonstrate that existing genetic marker sets do not saturate the genome and likely capture only 35-43% of potentially detectable loci controlling variation for traits scored in this population. While limited evidence for pleiotropy was apparent in cross-GWAS comparisons, a multivariate adaptive shrinkage approach recovered both known pleiotropic effects of existing loci and new pleiotropic effects, particularly significant impacts of known dwarfing genes on root architecture. In addition, we identified new loci with pleiotropic effects consistent with known trade-offs in sorghum development. These results demonstrate the potential for mining existing trait datasets from widely used community association populations to enable new discoveries from existing trait datasets as new, denser genetic marker datasets are generated for existing community association populations.
Collapse
Affiliation(s)
- Ravi V Mural
- Center for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Marcin Grzybowski
- Center for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Chenyong Miao
- Center for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Alyssa Damke
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Sirjan Sapkota
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634 USA.,Department of Plant and Environment Sciences, Clemson University, Clemson, SC 29634 USA
| | - Richard E Boyles
- Department of Plant and Environment Sciences, Clemson University, Clemson, SC 29634 USA.,Pee Dee Research and Education Center, Clemson University, Florence, SC 29532 USA
| | | | | | - Brandi Sigmon
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| | - Stephen Kresovich
- Department of Plant and Environment Sciences, Clemson University, Clemson, SC 29634 USA.,Feed the Future Innovation Lab for Crop Improvement Cornell University, Ithaca, NY 14850 USA
| | - James C Schnable
- Center for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588 USA
| |
Collapse
|
22
|
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
|
23
|
Gao L, Meng C, Yi T, Xu K, Cao H, Zhang S, Yang X, Zhao Y. Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat. BMC PLANT BIOLOGY 2021; 21:144. [PMID: 33740889 PMCID: PMC7980635 DOI: 10.1186/s12870-021-02925-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 03/11/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Identifying the loci and dissecting the genetic architecture underlying wheat yield- and quality-related traits are essential for wheat breeding. A genome-wide association study was conducted using a high-density 90 K SNP array to analyze the yield- and quality-related traits of 543 bread wheat varieties. RESULTS A total of 11,140 polymorphic SNPs were distributed on 21 chromosomes, including 270 significant SNPs associated with 25 yield- and quality-related traits. Additionally, 638 putative candidate genes were detected near the significant SNPs based on BLUP data, including three (TraesCS7A01G482000, TraesCS4B01G343700, and TraesCS6B01G295400) related to spikelet number per spike, diameter of the first internode, and grain volume. The three candidate genes were further analyzed using stage- and tissue- specific gene expression data derived from an RNA-seq analysis. These genes are promising candidates for enhancing yield- and quality-related traits in wheat. CONCLUSIONS The results of this study provide a new insight to understand the genetic basis of wheat yield and quality. Furthermore, the markers detected in this study may be applicable for marker-assisted selection in wheat breeding programs.
Collapse
Affiliation(s)
- Le Gao
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Chengsheng Meng
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Tengfei Yi
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Ke Xu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Huiwen Cao
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Shuhua Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Xueju Yang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
| | - Yong Zhao
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
| |
Collapse
|
24
|
De La Torre AR, Wilhite B, Puiu D, St. Clair JB, Crepeau MW, Salzberg SL, Langley CH, Allen B, Neale DB. Dissecting the Polygenic Basis of Cold Adaptation Using Genome-Wide Association of Traits and Environmental Data in Douglas-fir. Genes (Basel) 2021; 12:110. [PMID: 33477542 PMCID: PMC7831106 DOI: 10.3390/genes12010110] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 02/06/2023] Open
Abstract
Understanding the genomic and environmental basis of cold adaptation is key to understand how plants survive and adapt to different environmental conditions across their natural range. Univariate and multivariate genome-wide association (GWAS) and genotype-environment association (GEA) analyses were used to test associations among genome-wide SNPs obtained from whole-genome resequencing, measures of growth, phenology, emergence, cold hardiness, and range-wide environmental variation in coastal Douglas-fir (Pseudotsuga menziesii). Results suggest a complex genomic architecture of cold adaptation, in which traits are either highly polygenic or controlled by both large and small effect genes. Newly discovered associations for cold adaptation in Douglas-fir included 130 genes involved in many important biological functions such as primary and secondary metabolism, growth and reproductive development, transcription regulation, stress and signaling, and DNA processes. These genes were related to growth, phenology and cold hardiness and strongly depend on variation in environmental variables such degree days below 0c, precipitation, elevation and distance from the coast. This study is a step forward in our understanding of the complex interconnection between environment and genomics and their role in cold-associated trait variation in boreal tree species, providing a baseline for the species' predictions under climate change.
Collapse
Affiliation(s)
- Amanda R. De La Torre
- School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ 86011, USA;
| | - Benjamin Wilhite
- School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ 86011, USA;
| | - Daniela Puiu
- Center for Computational Biology, Department of Biomedical Engineering, Computer Science and Biostatistics, John Hopkins University, 3100 Wyman Park Dr, Wyman Park Building, Room S220, Baltimore, MD 21211, USA; (D.P.); (S.L.S.)
| | - John Bradley St. Clair
- USDA Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR 97331, USA;
| | - Marc W. Crepeau
- Department of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA; (M.W.C.); (C.H.L.)
| | - Steven L. Salzberg
- Center for Computational Biology, Department of Biomedical Engineering, Computer Science and Biostatistics, John Hopkins University, 3100 Wyman Park Dr, Wyman Park Building, Room S220, Baltimore, MD 21211, USA; (D.P.); (S.L.S.)
| | - Charles H. Langley
- Department of Evolution and Ecology, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA; (M.W.C.); (C.H.L.)
| | - Brian Allen
- Department of Plant Sciences, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA; (B.A.); (D.B.N.)
| | - David B. Neale
- Department of Plant Sciences, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA; (B.A.); (D.B.N.)
| |
Collapse
|
25
|
Sapkota S, Boatwright JL, Jordan K, Boyles R, Kresovich S. Identification of Novel Genomic Associations and Gene Candidates for Grain Starch Content in Sorghum. Genes (Basel) 2020; 11:E1448. [PMID: 33276449 PMCID: PMC7760202 DOI: 10.3390/genes11121448] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 11/10/2020] [Accepted: 11/27/2020] [Indexed: 01/15/2023] Open
Abstract
Starch accumulated in the endosperm of cereal grains as reserve energy for germination serves as a staple in human and animal nutrition. Unraveling genetic control for starch metabolism is important for breeding grains with high starch content. In this study, we used a sorghum association panel with 389 individuals and 141,557 single nucleotide polymorphisms (SNPs) to fit linear mixed models (LMM) for identifying genomic regions and potential candidate genes associated with starch content. Three associated genomic regions, one in chromosome (chr) 1 and two novel associations in chr-8, were identified using combination of LMM and Bayesian sparse LMM. All significant SNPs were located within protein coding genes, with SNPs ∼ 52 Mb of chr-8 encoding a Casperian strip membrane protein (CASP)-like protein (Sobic.008G111500) and a heat shock protein (HSP) 90 (Sobic.008G111600) that were highly expressed in reproductive tissues including within the embryo and endosperm. The HSP90 is a potential hub gene with gene network of 75 high-confidence first interactors that is enriched for five biochemical pathways including protein processing. The first interactors of HSP90 also showed high transcript abundance in reproductive tissues. The candidates of this study are likely involved in intricate metabolic pathways and represent candidate gene targets for source-sink activities and drought and heat stress tolerance during grain filling.
Collapse
Affiliation(s)
- Sirjan Sapkota
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634, USA; (J.L.B.); (K.J.); (S.K.)
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA;
| | - J. Lucas Boatwright
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634, USA; (J.L.B.); (K.J.); (S.K.)
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA;
| | - Kathleen Jordan
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634, USA; (J.L.B.); (K.J.); (S.K.)
| | - Richard Boyles
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA;
- Pee Dee Research and Education Center, Clemson University, Florence, SC 29506, USA
| | - Stephen Kresovich
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634, USA; (J.L.B.); (K.J.); (S.K.)
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA;
| |
Collapse
|
26
|
Sattayachiti W, Wanchana S, Arikit S, Nubankoh P, Patarapuwadol S, Vanavichit A, Darwell CT, Toojinda T. Genome-Wide Association Analysis Identifies Resistance Loci for Bacterial Leaf Streak Resistance in Rice ( Oryza sativa L.). PLANTS (BASEL, SWITZERLAND) 2020; 9:E1673. [PMID: 33260392 PMCID: PMC7761455 DOI: 10.3390/plants9121673] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/14/2020] [Accepted: 11/26/2020] [Indexed: 12/31/2022]
Abstract
Bacterial leaf streak (BLS) caused by Xanthomonas oryzae pv. oryzicola (Xoc) is one of the most devastating diseases in rice production areas, especially in humid tropical and subtropical zones throughout Asia and worldwide. A genome-wide association study (GWAS) analysis conducted on a collection of 236 diverse rice accessions, mainly indica varieties, identified 12 quantitative trait loci (QTLs) on chromosomes 1, 2, 3, 4, 5, 8, 9 and 11, conferring resistance to five representative isolates of Thai Xoc. Of these, five QTLs conferred resistance to more than one Xoc isolates. Two QTLs, qBLS5.1 and qBLS2.3, were considered promising QTLs for broad-spectrum resistance to BLS. The xa5 gene was proposed as a potential candidate gene for qBLS5.1 and three genes, encoding pectinesterase inhibitor (OsPEI), eukaryotic zinc-binding protein (OsRAR1), and NDP epimerase function, were proposed as candidate genes for qBLS2.3. Results from this study provide an insight into the potential QTLs and candidate genes for BLS resistance in rice. The recessive xa5 gene is suggested as a potential candidate for strong influence on broad-spectrum resistance and as a focal target in rice breeding programs for BLS resistance.
Collapse
Affiliation(s)
- Wannapa Sattayachiti
- Plant Breeding Program, Faculty of Agriculture at Kamphaeng Saen, Kesetsart University, Nakhon Pathom 73140, Thailand;
| | - Samart Wanchana
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| | - Siwaret Arikit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand; (S.A.); (A.V.)
- Rice Science Center, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
- Center of Excellence on Rice Precision Breeding for Food Security, Quality, and Nutrition, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
| | - Phakchana Nubankoh
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| | - Sujin Patarapuwadol
- Department of Plant Pathology, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand;
| | - Apichart Vanavichit
- Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand; (S.A.); (A.V.)
- Rice Science Center, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
- Center of Excellence on Rice Precision Breeding for Food Security, Quality, and Nutrition, Kasetsart University, Kamphaeng Saen, Nakhon Pathom 73140, Thailand
| | - Clive T. Darwell
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| | - Theerayut Toojinda
- National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Pahonyothin Road, Khlong Nueng, Khlong Luang, PathumThani 12120, Thailand; (S.W.); (P.N.); (C.T.D.)
| |
Collapse
|
27
|
Donde R, Mohapatra S, Baksh SKY, Padhy B, Mukherjee M, Roy S, Chattopadhyay K, Anandan A, Swain P, Sahoo KK, Singh ON, Behera L, Dash SK. Identification of QTLs for high grain yield and component traits in new plant types of rice. PLoS One 2020; 15:e0227785. [PMID: 32673318 PMCID: PMC7365460 DOI: 10.1371/journal.pone.0227785] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 06/11/2020] [Indexed: 11/18/2022] Open
Abstract
A panel of 60 genotypes comprising New Plant Types (NPTs) along with indica, tropical and temperate japonica genotypes was phenotypically evaluated for four seasons in irrigated situation for grain yield per se and component traits. Twenty NPT genotypes were found promising with an average grain yield varying from 5.45 to 8.8 t/ha. A total of 85 SSR markers were used in the study to identify QTLs associated with grain yield per se and related traits. Sixty-six (77.65%) markers were found to be polymorphic. The PIC values varied from 0.516 to 0.92 with an average of 0.704. A moderate level of genetic diversity (0.39) was detected among genotypes. Variation to the tune of 8% within genotypes, 68% among the genotypes within the population and 24% among the populations were observed (AMOVA). This information may help in identification of potential parents for development of transgressive segregants with very high yield. The association analysis using GLM and MLM models led to the identification of 30 and 10 SSR markers associated with 70 and 16 QTLs, respectively. Thirty novel QTLs linked with 16 SSRs were identified to be associated with eleven traits, namely tiller number (qTL-6.1, qTL-11.1, qTL-4.1), panicle length (qPL-1.1, qPL-5.1, qPL-7.1, qPL-8.1), flag leaf length (qFLL-8.1, qFLL-9.1), flag leaf width (qFLW-6.2, qFLW-5.1, qFLW-8.1, qFLW-7.1), total no. of grains (qTG-2.2, qTG-a7.1), thousand-grain weight (qTGW-a1.1, qTGW-a9.2, qTGW-5.1, qTGW-8.1), fertile grains (qFG-7.1), seed length-breadth ratio (qSlb-3.1), plant height (qPHT-6.1, qPHT-9.1), days to 50% flowering (qFD-1.1) and grain yield per se (qYLD-5.1, qYLD-6.1a, qYLD-11.1).Some of the SSRs were co-localized with more than two traits. The highest co-localization was identified with RM5709 linked to nine traits, followed by RM297 with five traits. Similarly, RM5575, RM204, RM168, RM112, RM26499 and RM22899 were also recorded to be co-localized with more than one trait and could be rated as important for marker-assisted backcross breeding programs, for pyramiding of these QTLs for important yield traits, to produce new-generation rice for prospective increment in yield potentiality and breaking yield ceiling.
Collapse
Affiliation(s)
- Ravindra Donde
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - Shibani Mohapatra
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - S. K. Yasin Baksh
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - Barada Padhy
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - Mitadru Mukherjee
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - Somnath Roy
- ICAR-NRRI, Regional Research Station (CRURRS), Hazaribagh, Jharkhand
| | | | - A. Anandan
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - Padmini Swain
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | | | - Onkar Nath Singh
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | - Lambodar Behera
- ICAR-National Rice Research Institute (NRRI), Cuttack, Odisha, India
| | | |
Collapse
|
28
|
Pavan S, Delvento C, Ricciardi L, Lotti C, Ciani E, D'Agostino N. Recommendations for Choosing the Genotyping Method and Best Practices for Quality Control in Crop Genome-Wide Association Studies. Front Genet 2020; 11:447. [PMID: 32587600 PMCID: PMC7299185 DOI: 10.3389/fgene.2020.00447] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 04/14/2020] [Indexed: 12/19/2022] Open
Abstract
High-throughput genotyping boosts genome-wide association studies (GWAS) in crop species, leading to the identification of single-nucleotide polymorphisms (SNPs) associated with economically important traits. Choosing a cost-effective genotyping method for crop GWAS requires careful examination of several aspects, namely, the purpose and the scale of the study, crop-specific genomic features, and technical and economic matters associated with each genotyping option. Once genotypic data have been obtained, quality control (QC) procedures must be applied to avoid bias and false signals in genotype–phenotype association tests. QC for human GWAS has been extensively reviewed; however, QC for crop GWAS may require different actions, depending on the GWAS population type. Here, we review most popular genotyping methods based on next-generation sequencing (NGS) and array hybridization, and report observations that should guide the investigator in the choice of the genotyping method for crop GWAS. We provide recommendations to perform QC in crop species, and deliver an overview of bioinformatics tools that can be used to accomplish all needed tasks. Overall, this work aims to provide guidelines to harmonize those procedures leading to SNP datasets ready for crop GWAS.
Collapse
Affiliation(s)
- Stefano Pavan
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy.,Institute of Biomedical Technologies, National Research Council (CNR), Bari, Italy
| | - Chiara Delvento
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Luigi Ricciardi
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Concetta Lotti
- Department of Agricultural, Food and Environmental Sciences, University of Foggia, Foggia, Italy
| | - Elena Ciani
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari Aldo Moro, Bari, Italy
| | - Nunzio D'Agostino
- Department of Agricultural Sciences, University of Naples Federico II, Naples, Italy
| |
Collapse
|
29
|
Tao Y, Zhao X, Wang X, Hathorn A, Hunt C, Cruickshank AW, van Oosterom EJ, Godwin ID, Mace ES, Jordan DR. Large-scale GWAS in sorghum reveals common genetic control of grain size among cereals. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:1093-1105. [PMID: 31659829 PMCID: PMC7061873 DOI: 10.1111/pbi.13284] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 09/30/2019] [Accepted: 10/24/2019] [Indexed: 05/20/2023]
Abstract
Grain size is a key yield component of cereal crops and a major quality attribute. It is determined by a genotype's genetic potential and its capacity to fill the grains. This study aims to dissect the genetic architecture of grain size in sorghum. An integrated genome-wide association study (GWAS) was conducted using a diversity panel (n = 837) and a BC-NAM population (n = 1421). To isolate genetic effects associated with genetic potential of grain size, rather than the genotype's capacity to fill the grains, a treatment of removing half of the panicle was imposed during flowering. Extensive and highly heritable variation in grain size was observed in both populations in 5 field trials, and 81 grain size QTL were identified in subsequent GWAS. These QTL were enriched for orthologues of known grain size genes in rice and maize, and had significant overlap with SNPs associated with grain size in rice and maize, supporting common genetic control of this trait among cereals. Grain size genes with opposite effect on grain number were less likely to overlap with the grain size QTL from this study, indicating the treatment facilitated identification of genetic regions related to the genetic potential of grain size. These results enhance understanding of the genetic architecture of grain size in cereal, and pave the way for exploration of underlying molecular mechanisms and manipulation of this trait in breeding practices.
Collapse
Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
| | - Xianrong Zhao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
| | - Xuemin Wang
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
| | - Adrian Hathorn
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
| | - Colleen Hunt
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
- Agri‐Science QueenslandDepartment of Agriculture and Fisheries (DAF)Hermitage Research FacilityWarwickQldAustralia
| | - Alan W. Cruickshank
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
- Agri‐Science QueenslandDepartment of Agriculture and Fisheries (DAF)Hermitage Research FacilityWarwickQldAustralia
| | - Erik J. van Oosterom
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandBrisbaneQldAustralia
| | - Ian D. Godwin
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandBrisbaneQldAustralia
| | - Emma S. Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
- Agri‐Science QueenslandDepartment of Agriculture and Fisheries (DAF)Hermitage Research FacilityWarwickQldAustralia
| | - David R. Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandHermitage Research FacilityWarwickQldAustralia
| |
Collapse
|
30
|
Flinn B, Dale S, Disharoon A, Kresovich S. Comparative Analysis of In Vitro Responses and Regeneration between Diverse Bioenergy Sorghum Genotypes. PLANTS (BASEL, SWITZERLAND) 2020; 9:E248. [PMID: 32075100 PMCID: PMC7076383 DOI: 10.3390/plants9020248] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 01/24/2020] [Accepted: 02/11/2020] [Indexed: 01/09/2023]
Abstract
Sorghum has been considered a recalcitrant plant in vitro and suffers from a lack of regeneration protocols that function broadly and efficiently across a range of genotypes. This study was initiated to identify differential genotype-in vitro protocol responses across a range of bioenergy sorghum parental lines and the common grain sorghum genotype Tx430 in order to characterize response profiles for use in future genetic studies. Two different in vitro protocols, LG and WU, were used for comparisons. Distinct genotype-protocol responses were observed, and the WU protocol performed significantly better for plantlet regeneration. Most bioenergy genotypes performed as well, if not better than Tx430, with Rio and PI329311 as the top regenerating lines. Genotypes displayed protocol-dependent, differential phenolic exudation responses, as indicated by medium browning. During the callus induction phase, genotypes prone to medium browning exhibited a response on WU medium which was either equal or greater than on LG medium. Genotype- and protocol-dependent albino plantlet regeneration was also noted, with three of the bioenergy genotypes showing albino plantlet regeneration. Grassl, Rio and Pink Kafir were susceptible to albino plantlet regeneration, with the response strongly associated with the WU protocol. These bioenergy parental genotypes, and their differential responses under two in vitro protocols, provide tools to further explore and assess the role of genetic loci, candidate genes, and allelic variants in the regulation of in vitro responsiveness in sorghum.
Collapse
Affiliation(s)
- Barry Flinn
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634, USA;
| | - Savanah Dale
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (S.D.); (A.D.)
| | - Andrew Disharoon
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (S.D.); (A.D.)
| | - Stephen Kresovich
- Advanced Plant Technology Program, Clemson University, Clemson, SC 29634, USA;
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (S.D.); (A.D.)
| |
Collapse
|
31
|
Li Q, Qi J, Qin X, Dou W, Lei T, Hu A, Jia R, Jiang G, Zou X, Long Q, Xu L, Peng A, Yao L, Chen S, He Y. CitGVD: a comprehensive database of citrus genomic variations. HORTICULTURE RESEARCH 2020; 7:12. [PMID: 32025315 PMCID: PMC6994598 DOI: 10.1038/s41438-019-0234-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 11/09/2019] [Accepted: 12/05/2019] [Indexed: 05/29/2023]
Abstract
Citrus is one of the most important commercial fruit crops worldwide. With the vast genomic data currently available for citrus fruit, genetic relationships, and molecular markers can be assessed for the development of molecular breeding and genomic selection strategies. In this study, to permit the ease of access to these data, a web-based database, the citrus genomic variation database (CitGVD, http://citgvd.cric.cn/home) was developed as the first citrus-specific comprehensive database dedicated to genome-wide variations including single nucleotide polymorphisms (SNPs) and insertions/deletions (INDELs). The current version (V1.0.0) of CitGVD is an open-access resource centered on 1,493,258,964 high-quality genomic variations and 84 phenotypes of 346 organisms curated from in-house projects and public resources. CitGVD integrates closely related information on genomic variation annotations, related gene annotations, and details regarding the organisms, incorporating a variety of built-in tools for data accession and analysis. As an example, CitGWAS can be used for genome-wide association studies (GWASs) with SNPs and phenotypic data, while CitEVOL can be used for genetic structure analysis. These features make CitGVD a comprehensive web portal and bioinformatics platform for citrus-related studies. It also provides a model for analyzing genome-wide variations for a wide range of crop varieties.
Collapse
Affiliation(s)
- Qiang Li
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Jingjing Qi
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Xiujuan Qin
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Wanfu Dou
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Tiangang Lei
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Anhua Hu
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Ruirui Jia
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, 401331 Chongqing, China
| | - Guojin Jiang
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Xiuping Zou
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Qin Long
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Lanzhen Xu
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Aihong Peng
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Lixiao Yao
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Shanchun Chen
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| | - Yongrui He
- Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, 400712 Chongqing, China
| |
Collapse
|
32
|
Cuevas HE, Prom LK. Evaluation of genetic diversity, agronomic traits, and anthracnose resistance in the NPGS Sudan Sorghum Core collection. BMC Genomics 2020; 21:88. [PMID: 31992189 PMCID: PMC6988227 DOI: 10.1186/s12864-020-6489-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 01/13/2020] [Indexed: 12/15/2022] Open
Abstract
Background The United States Department of Agriculture (USDA) National Plant Germplasm System (NPGS) sorghum core collection contains 3011 accessions randomly selected from 77 countries. Genomic and phenotypic characterization of this core collection is necessary to encourage and facilitate its utilization in breeding programs and to improve conservation efforts. In this study, we examined the genome sequences of 318 accessions belonging to the NPGS Sudan sorghum core set, and characterized their agronomic traits and anthracnose resistance response. Results We identified 183,144 single nucleotide polymorphisms (SNPs) located within or in proximity of 25,124 annotated genes using the genotyping-by-sequencing (GBS) approach. The core collection was genetically highly diverse, with an average pairwise genetic distance of 0.76 among accessions. Population structure and cluster analysis revealed five ancestral populations within the Sudan core set, with moderate to high level of genetic differentiation. In total, 171 accessions (54%) were assigned to one of these populations, which covered 96% of the total genomic variation. Genome scan based on Tajima’s D values revealed two populations under balancing selection. Phenotypic analysis showed differences in agronomic traits among the populations, suggesting that these populations belong to different ecogeographical regions. A total of 55 accessions were resistant to anthracnose; these accessions could represent multiple resistance sources. Genome-wide association study based on fixed and random model Circulating Probability (farmCPU) identified genomic regions associated with plant height, flowering time, panicle length and diameter, and anthracnose resistance response. Integrated analysis of the Sudan core set and sorghum association panel indicated that a large portion of the genetic variation in the Sudan core set might be present in breeding programs but remains unexploited within some clusters of accessions. Conclusions The NPGS Sudan core collection comprises genetically and phenotypically diverse germplasm with multiple anthracnose resistance sources. Population genomic analysis could be used to improve screening efforts and identify the most valuable germplasm for breeding programs. The new GBS data set generated in this study represents a novel genomic resource for plant breeders interested in mining the genetic diversity of the NPGS sorghum collection.
Collapse
Affiliation(s)
- Hugo E Cuevas
- USDA-ARS, Tropical Agriculture Research Station, 2200 Pedro Albizu Campos Avenue, Mayaguez, 00680, Puerto Rico
| | - Louis K Prom
- USDA-ARS, Southern Plains Agriculture Research Center, College Station, TX, 77845, USA.
| |
Collapse
|
33
|
Sakamoto L, Kajiya-Kanegae H, Noshita K, Takanashi H, Kobayashi M, Kudo T, Yano K, Tokunaga T, Tsutsumi N, Iwata H. Comparison of shape quantification methods for genomic prediction, and genome-wide association study of sorghum seed morphology. PLoS One 2019; 14:e0224695. [PMID: 31751371 PMCID: PMC6872133 DOI: 10.1371/journal.pone.0224695] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 10/18/2019] [Indexed: 11/19/2022] Open
Abstract
Seed shape is an important agronomic trait with continuous variation among genotypes. Therefore, the quantitative evaluation of this variation is highly important. Among geometric morphometrics methods, elliptic Fourier analysis and semi-landmark analysis are often used for the quantification of biological shape variations. Elliptic Fourier analysis is an approximation method to treat contours as a waveform. Semi-landmark analysis is a method of superimposed points in which the differences of multiple contour positions are minimized. However, no detailed comparison of these methods has been undertaken. Moreover, these shape descriptors vary when the scale and direction of the contour and the starting point of the contour trace change. Thus, these methods should be compared with respect to the standardization of the scale and direction of the contour and the starting point of the contour trace. In the present study, we evaluated seed shape variations in a sorghum (Sorghum bicolor Moench) germplasm collection to analyze the association between shape variations and genome-wide single-nucleotide polymorphisms by genomic prediction (GP) and genome-wide association studies (GWAS). In our analysis, we used all possible combinations of three shape description methods and eight standardization procedures for the scale and direction of the contour as well as the starting point of the contour trace; these combinations were compared in terms of GP accuracy and the GWAS results. We compared the shape description methods (elliptic Fourier descriptors and the coordinates of superposed pseudo-landmark points) and found that principal component analysis of their quantitative descriptors yielded similar results. Different scaling and direction standardization procedures caused differences in the principal component scores, average shape, and the results of GP and GWAS.
Collapse
Affiliation(s)
- Lisa Sakamoto
- Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan
- JSPS Research Fellow, Tokyo, Japan
| | | | - Koji Noshita
- Department of Biology, Kyushu University, Fukuoka, Japan
- PRESTO, JST, Saitama, Japan
| | - Hideki Takanashi
- Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan
| | | | - Toru Kudo
- Faculty of Agriculture, Meiji University, Kanagawa, Japan
| | - Kentaro Yano
- Faculty of Agriculture, Meiji University, Kanagawa, Japan
| | | | - Nobuhiro Tsutsumi
- Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan
| | - Hiroyoshi Iwata
- Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan
- * E-mail:
| |
Collapse
|
34
|
Dampanaboina L, Jiao Y, Chen J, Gladman N, Chopra R, Burow G, Hayes C, Christensen SA, Burke J, Ware D, Xin Z. Sorghum MSD3 Encodes an ω-3 Fatty Acid Desaturase that Increases Grain Number by Reducing Jasmonic Acid Levels. Int J Mol Sci 2019; 20:ijms20215359. [PMID: 31661847 PMCID: PMC6862555 DOI: 10.3390/ijms20215359] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/25/2019] [Accepted: 10/26/2019] [Indexed: 12/31/2022] Open
Abstract
Grain number per panicle is an important component of grain yield in sorghum (Sorghum bicolor (L.)) and other cereal crops. Previously, we reported that mutations in multi-seeded 1 (MSD1) and MSD2 genes result in a two-fold increase in grain number per panicle due to the restoration of the fertility of the pedicellate spikelets, which invariably abort in natural sorghum accessions. Here, we report the identification of another gene, MSD3, which is also involved in the regulation of grain numbers in sorghum. Four bulked F2 populations from crosses between BTx623 and each of the independent msd mutants p6, p14, p21, and p24 were sequenced to 20× coverage of the whole genome on a HiSeq 2000 system. Bioinformatic analyses of the sequence data showed that one gene, Sorbi_3001G407600, harbored homozygous mutations in all four populations. This gene encodes a plastidial ω-3 fatty acid desaturase that catalyzes the conversion of linoleic acid (18:2) to linolenic acid (18:3), a substrate for jasmonic acid (JA) biosynthesis. The msd3 mutants had reduced levels of linolenic acid in both leaves and developing panicles that in turn decreased the levels of JA. Furthermore, the msd3 panicle phenotype was reversed by treatment with methyl-JA (MeJA). Our characterization of MSD1, MSD2, and now MSD3 demonstrates that JA-regulated processes are critical to the msd phenotype. The identification of the MSD3 gene reveals a new target that could be manipulated to increase grain number per panicle in sorghum, and potentially other cereal crops, through the genomic editing of MSD3 functional orthologs.
Collapse
Affiliation(s)
- Lavanya Dampanaboina
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
| | - Yinping Jiao
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY 11724, USA.
| | - Junping Chen
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
| | - Nicholas Gladman
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY 11724, USA.
| | - Ratan Chopra
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
- Current address: Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA.
| | - Gloria Burow
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
| | - Chad Hayes
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
| | - Shawn A Christensen
- Chemistry Research Unit, USDA-ARS, 1700 S.W. 23rd Drive, Gainesville, FL 32608, USA.
| | - John Burke
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY 11724, USA.
- U.S. Department of Agriculture-Agricultural Research Service, NEA Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, New York, NY 14853, USA.
| | - Zhanguo Xin
- Plant Stress and Germplasm Development Unit, Cropping Systems Research Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.
| |
Collapse
|
35
|
Genomic signatures of seed mass adaptation to global precipitation gradients in sorghum. Heredity (Edinb) 2019; 124:108-121. [PMID: 31316156 PMCID: PMC6906510 DOI: 10.1038/s41437-019-0249-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Revised: 06/07/2019] [Accepted: 06/21/2019] [Indexed: 12/14/2022] Open
Abstract
Seed mass is a key component of adaptation in plants and a determinant of yield in crops. The climatic drivers and genomic basis of seed mass variation remain poorly understood. In the cereal crop Sorghum bicolor, globally-distributed landraces harbor abundant variation in seed mass, which is associated with precipitation in their agroclimatic zones of origin. This study aimed to test the hypothesis that diversifying selection across precipitation gradients, acting on ancestral cereal grain size regulators, underlies seed mass variation in global sorghum germplasm. We tested this hypothesis in a set of 1901 georeferenced and genotyped sorghum landraces, 100-seed mass from common gardens, and bioclimatic precipitation variables. As predicted, 100-seed mass in global germplasm varies significantly among botanical races and is correlated to proxies of the precipitation gradients. With general and mixed linear model genome-wide associations, we identified 29 and 56 of 100 a priori candidate seed size genes with polymorphisms in the top 1% of seed mass association, respectively. Eleven of these genes harbor polymorphisms associated with the precipitation gradient, including orthologs of genes that regulate seed size in other cereals. With FarmCPU, 13 significant SNPs were identified, including one at an a priori candidate gene. Finally, we identified eleven colocalized outlier SNPs associated with seed mass and precipitation that also carry signatures of selection based on FST scans and PCAdapt, which represents a significant enrichment. Our findings suggest that seed mass in sorghum was shaped by diversifying selection on drought stress, and can inform genomics-enabled breeding for climate-resilient cereals.
Collapse
|
36
|
Cuevas HE, Fermin-Pérez RA, Prom LK, Cooper EA, Bean S, Rooney WL. Genome-Wide Association Mapping of Grain Mold Resistance in the US Sorghum Association Panel. THE PLANT GENOME 2019; 12. [PMID: 31290917 DOI: 10.3835/plantgenome2018.09.0070] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Sorghum [ (L.) Moench] production in warm and humid regions is limited by grain mold disease, which can be caused by a complex of >40 pathogenic and opportunistic fungi. The identification of resistant plants within temperate-adapted germplasm is imperative for the development of better-adapted varieties. The performance of 331 accessions from the previously genotyped sorghum association panel (SAP) was evaluated in four tropical environments. Only 18 accessions showed low seed deterioration and high emergence rates. The resistant accessions showed high variation in seed tannin contents and panicle shape, indicating that grain mold resistance is not associated with a single phenotypic trait. Seed mycoflora analysis recovered pathogenic fungi , , and in both resistant and susceptible accessions. By genome-wide association scans using 268,289 single nucleotide polymorphisms (SNPs), we identified two loci associated with low seed deterioration and another associated with emergence rate. Candidate genes within these loci included one gene () and two genes ( and ) with domains associated with systemic acquired resistance, suggesting that resistance involved pathogen recognition and downstream signaling cascades. This study provides insight into the genetic control of grain mold resistance as well as valuable accessions for breeding programs in temperate environments.
Collapse
|
37
|
Liu XP, Hawkins C, Peel MD, Yu LX. Genetic Loci Associated with Salt Tolerance in Advanced Breeding Populations of Tetraploid Alfalfa Using Genome-Wide Association Studies. THE PLANT GENOME 2019; 12:180026. [PMID: 30951087 DOI: 10.3835/plantgenome2018.05.0026] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Many agricultural lands in the western United States consist of soil with high concentrations of salt, which is detrimental to alfalfa ( L.) growth and production, especially in the region where water resource is limited. Developing alfalfa varieties with salt tolerance is imperative for sustainable production under increasing soil salinity. In the present study, we used advanced alfalfa breeding populations and evaluated five traits related to salt tolerance including biomass dry weight (DW) and fresh weight (FW), plant height (PH), leaf relative water content (RWC), and stomatal conductance (SC) under control and salt stress. Stress susceptibility index (SSI) of each trait and single-nucleotide polymorphism (SNP) markers generated by genotyping-by-sequencing (GBS) were used for genome-wide association studies (GWAS) to identify loci associated with salt tolerance. A total of 53 significant SNPs associated with salt tolerance were identified and they were located at 49 loci through eight chromosomes. A Basic Local Alignment Search Tool (BLAST) search of the regions surrounding the SNPs revealed 21 putative candidate genes associated with salt tolerance. The genetic architecture for traits related to salt tolerance characterized in this report could help in understanding the genetic mechanism by which salt stress affects plant growth and production in alfalfa. The markers and candidate genes identified in the present study would be useful for marker-assisted selection (MAS) in breeding salt-tolerant alfalfa after validation of the markers.
Collapse
|
38
|
Boyles RE, Brenton ZW, Kresovich S. Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 97:19-39. [PMID: 30260043 DOI: 10.1111/tpj.14113] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 08/30/2018] [Accepted: 09/03/2018] [Indexed: 05/10/2023]
Abstract
With the recent development of genomic resources and high-throughput phenotyping platforms, the 21st century is primed for major breakthroughs in the discovery, understanding and utilization of plant genetic variation. Significant advances in agriculture remain at the forefront to increase crop production and quality to satisfy the global food demand in a changing climate all while reducing the environmental impacts of the world's food production. Sorghum, a resilient C4 grain and grass important for food and energy production, is being extensively dissected genetically and phenomically to help connect the relationship between genetic and phenotypic variation. Unlike genetically modified crops such as corn or soybean, sorghum improvement has relied heavily on public research; thus, many of the genetic resources serve a dual purpose for both academic and commercial pursuits. Genetic and genomic resources not only provide the foundation to identify and understand the genes underlying variation, but also serve as novel sources of genetic and phenotypic diversity in plant breeding programs. To better disseminate the collective information of this community, we discuss: (i) the genomic resources of sorghum that are at the disposal of the research community; (ii) the suite of sorghum traits as potential targets for increasing productivity in contrasting environments; and (iii) the prospective approaches and technologies that will help to dissect the genotype-phenotype relationship as well as those that will apply foundational knowledge for sorghum improvement.
Collapse
Affiliation(s)
- Richard E Boyles
- Pee Dee Research and Education Center, Clemson University, 2200 Pocket Rd, Florence, SC, 29506, USA
- Advanced Plant Technology Program, Clemson University, 105 Collings St, Clemson, SC, 29634, USA
| | - Zachary W Brenton
- Advanced Plant Technology Program, Clemson University, 105 Collings St, Clemson, SC, 29634, USA
- Department of Plant and Environment Sciences, Clemson University, 171 Poole Agricultural Center, Clemson, SC, 29634, USA
| | - Stephen Kresovich
- Advanced Plant Technology Program, Clemson University, 105 Collings St, Clemson, SC, 29634, USA
- Department of Plant and Environment Sciences, Clemson University, 171 Poole Agricultural Center, Clemson, SC, 29634, USA
| |
Collapse
|
39
|
Zhou R, Dossa K, Li D, Yu J, You J, Wei X, Zhang X. Genome-Wide Association Studies of 39 Seed Yield-Related Traits in Sesame ( Sesamum indicum L.). Int J Mol Sci 2018; 19:ijms19092794. [PMID: 30227628 PMCID: PMC6164633 DOI: 10.3390/ijms19092794] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 09/07/2018] [Accepted: 09/13/2018] [Indexed: 01/23/2023] Open
Abstract
Sesame is poised to become a major oilseed crop owing to its high oil quality and adaptation to various ecological areas. However, the seed yield of sesame is very low and the underlying genetic basis is still elusive. Here, we performed genome-wide association studies of 39 seed yield-related traits categorized into five major trait groups, in three different environments, using 705 diverse lines. Extensive variation was observed for the traits with capsule size, capsule number and seed size-related traits, found to be highly correlated with seed yield indexes. In total, 646 loci were significantly associated with the 39 traits (p < 10-7) and resolved to 547 quantitative trait loci QTLs. We identified six multi-environment QTLs and 76 pleiotropic QTLs associated with two to five different traits. By analyzing the candidate genes for the assayed traits, we retrieved 48 potential genes containing significant functional loci. Several homologs of these candidate genes in Arabidopsis are described to be involved in seed or biomass formation. However, we also identified novel candidate genes, such as SiLPT3 and SiACS8, which may control capsule length and capsule number traits. Altogether, we provided the highly-anticipated basis for research on genetics and functional genomics towards seed yield improvement in sesame.
Collapse
Affiliation(s)
- Rong Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
| | - Komivi Dossa
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
- Centre d'Etude Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), Route de Khombole, Thiès, Thiès Escale Thiès BP3320, Senegal.
| | - Donghua Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
| | - Jingyin Yu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
| | - Jun You
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
| | - Xin Wei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
- College of Life and Environmental Sciences, Shanghai Normal University, Shanghai 200234, China.
| | - Xiurong Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture, No. 2 Xudong 2nd Road, Wuhan 430062, China.
| |
Collapse
|
40
|
Bekele WA, Wight CP, Chao S, Howarth CJ, Tinker NA. Haplotype-based genotyping-by-sequencing in oat genome research. PLANT BIOTECHNOLOGY JOURNAL 2018; 16:1452-1463. [PMID: 29345800 PMCID: PMC6041447 DOI: 10.1111/pbi.12888] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 01/05/2018] [Accepted: 01/10/2018] [Indexed: 05/05/2023]
Abstract
In a de novo genotyping-by-sequencing (GBS) analysis of short, 64-base tag-level haplotypes in 4657 accessions of cultivated oat, we discovered 164741 tag-level (TL) genetic variants containing 241224 SNPs. From this, the marker density of an oat consensus map was increased by the addition of more than 70000 loci. The mapped TL genotypes of a 635-line diversity panel were used to infer chromosome-level (CL) haplotype maps. These maps revealed differences in the number and size of haplotype blocks, as well as differences in haplotype diversity between chromosomes and subsets of the diversity panel. We then explored potential benefits of SNP vs. TL vs. CL GBS variants for mapping, high-resolution genome analysis and genomic selection in oats. A combined genome-wide association study (GWAS) of heading date from multiple locations using both TL haplotypes and individual SNP markers identified 184 significant associations. A comparative GWAS using TL haplotypes, CL haplotype blocks and their combinations demonstrated the superiority of using TL haplotype markers. Using a principal component-based genome-wide scan, genomic regions containing signatures of selection were identified. These regions may contain genes that are responsible for the local adaptation of oats to Northern American conditions. Genomic selection for heading date using TL haplotypes or SNP markers gave comparable and promising prediction accuracies of up to r = 0.74. Genomic selection carried out in an independent calibration and test population for heading date gave promising prediction accuracies that ranged between r = 0.42 and 0.67. In conclusion, TL haplotype GBS-derived markers facilitate genome analysis and genomic selection in oat.
Collapse
Affiliation(s)
- Wubishet A. Bekele
- Ottawa Research and Development CentreAgriculture and Agri‐Food CanadaOttawaONCanada
| | - Charlene P. Wight
- Ottawa Research and Development CentreAgriculture and Agri‐Food CanadaOttawaONCanada
| | - Shiaoman Chao
- USDA‐ARS Cereal Crops Research UnitRed River Valley Agricultural Research CenterFargoNDUSA
| | - Catherine J. Howarth
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Nicholas A. Tinker
- Ottawa Research and Development CentreAgriculture and Agri‐Food CanadaOttawaONCanada
| |
Collapse
|
41
|
Cuevas HE, Prom LK, Cooper EA, Knoll JE, Ni X. Genome-Wide Association Mapping of Anthracnose ( Colletotrichum sublineolum) Resistance in the U.S. Sorghum Association Panel. THE PLANT GENOME 2018; 11:170099. [PMID: 30025025 DOI: 10.3835/plantgenome2017.11.0099] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
The productivity and profitability of sorghum [ (L.) Moench] is reduced by susceptibility to fungal diseases, such as anthracnose ( P. Henn.). A limited number of resistant accessions are present in the temperate-adapted germplasm; other exotic sources of resistance are not currently available for breeding programs. Among 335 accessions available to breeders from a previously genotyped sorghum association panel (SAP), we found that 75 were resistant to anthracnose. A phylogenetic analysis of these accessions showed high genetic diversity and multiple resistance sources. Genome-wide association scans (GWAS) were conducted using 268,289 single-nucleotide polymorphisms to identify loci associated with anthracnose resistance. Using logistic regressions for binary measures of resistance responses, we identified three loci within a region on chromosome 5 that have been previously associated with three sources of anthracnose resistance. A GWAS limited to Caudatum germplasm identified an association with a region on chromosome 1 and with the same previous region on chromosome 5. Candidate genes within these loci were related to R-gene families, signaling cascades, and transcriptional reprogramming, suggesting that the resistance response is controlled by multiple defense mechanisms. The strategic integration of exotic resistant germplasm into the SAP is needed to identify additional rare resistance alleles via GWAS.
Collapse
|
42
|
Tao Y, Mace E, George-Jaeggli B, Hunt C, Cruickshank A, Henzell R, Jordan D. Novel Grain Weight Loci Revealed in a Cross between Cultivated and Wild Sorghum. THE PLANT GENOME 2018; 11:170089. [PMID: 30025022 DOI: 10.3835/plantgenome2017.10.0089] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Grain weight has increased during domestication of cereals. Together with grain number it determines yield, but the two are often negatively correlated. Understanding the genetic architecture of grain weight and its relationship with grain number is critical to enhance crop yield. Sorghum is an important food, feed, and biofuel crop well-known for its adaptation to drought and heat. This study aimed to dissect the genetic basis of thousand grain weight (TGW) in a BCF population between a domesticated sorghum accession and its wild progenitor, subsp. and investigate its relationship with grain number. Thousand grain weight, grain number, and yield were measured in field trials in two successive years. A strong negative correlation between TGW and grain number was observed in both trials. In total, 17 TGW quantitative trait loci (QTL) were identified, with 11 of them exhibiting an opposing effect on grain number, implying the correlation between TGW and grain number is due to pleiotropy. Nine grain size candidate genes were identified within 6 TGW QTL, and of these 5 showed signatures of selection during sorghum domestication. Large-effect QTL in this study that have not been identified previously in cultivated sorghum were found to contain candidate genes with domestication signal, indicating that these QTL were affected during sorghum domestication. This study sheds new light on the genetic basis of TGW, its relationship with grain number, and sorghum domestication.
Collapse
|
43
|
MSD1 regulates pedicellate spikelet fertility in sorghum through the jasmonic acid pathway. Nat Commun 2018; 9:822. [PMID: 29483511 PMCID: PMC5826930 DOI: 10.1038/s41467-018-03238-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 01/26/2018] [Indexed: 01/08/2023] Open
Abstract
Grain number per panicle (GNP) is a major determinant of grain yield in cereals. However, the mechanisms that regulate GNP remain unclear. To address this issue, we isolate a series of sorghum [Sorghum bicolor (L.) Moench] multiseeded (msd) mutants that can double GNP by increasing panicle size and altering floral development so that all spikelets are fertile and set grain. Through bulk segregant analysis by next-generation sequencing, we identify MSD1 as a TCP (Teosinte branched/Cycloidea/PCF) transcription factor. Whole-genome expression profiling reveals that jasmonic acid (JA) biosynthetic enzymes are transiently activated in pedicellate spikelets. Young msd1 panicles have 50% less JA than wild-type (WT) panicles, and application of exogenous JA can rescue the msd1 phenotype. Our results reveal a new mechanism for increasing GNP, with the potential to boost grain yield, and provide insight into the regulation of plant inflorescence architecture and development. Inflorescence architecture affects crop grain yield. Here, the authors deploy whole-genome sequencing-based bulk segregant analysis to identify the causal gene of a sorghum multi-seeded (msd) mutant and suggest MSD1 regulating the fertility of the pedicellate spikelets through jasmonic acid pathway.
Collapse
|
44
|
Dwivedi SL, Scheben A, Edwards D, Spillane C, Ortiz R. Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes. FRONTIERS IN PLANT SCIENCE 2017; 8:1461. [PMID: 28900432 PMCID: PMC5581882 DOI: 10.3389/fpls.2017.01461] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 08/07/2017] [Indexed: 05/03/2023]
Abstract
There is a need to accelerate crop improvement by introducing alleles conferring host plant resistance, abiotic stress adaptation, and high yield potential. Elite cultivars, landraces and wild relatives harbor useful genetic variation that needs to be more easily utilized in plant breeding. We review genome-wide approaches for assessing and identifying alleles associated with desirable agronomic traits in diverse germplasm pools of cereals and legumes. Major quantitative trait loci and single nucleotide polymorphisms (SNPs) associated with desirable agronomic traits have been deployed to enhance crop productivity and resilience. These include alleles associated with variation conferring enhanced photoperiod and flowering traits. Genetic variants in the florigen pathway can provide both environmental flexibility and improved yields. SNPs associated with length of growing season and tolerance to abiotic stresses (precipitation, high temperature) are valuable resources for accelerating breeding for drought-prone environments. Both genomic selection and genome editing can also harness allelic diversity and increase productivity by improving multiple traits, including phenology, plant architecture, yield potential and adaptation to abiotic stresses. Discovering rare alleles and useful haplotypes also provides opportunities to enhance abiotic stress adaptation, while epigenetic variation has potential to enhance abiotic stress adaptation and productivity in crops. By reviewing current knowledge on specific traits and their genetic basis, we highlight recent developments in the understanding of crop functional diversity and identify potential candidate genes for future use. The storage and integration of genetic, genomic and phenotypic information will play an important role in ensuring broad and rapid application of novel genetic discoveries by the plant breeding community. Exploiting alleles for yield-related traits would allow improvement of selection efficiency and overall genetic gain of multigenic traits. An integrated approach involving multiple stakeholders specializing in management and utilization of genetic resources, crop breeding, molecular biology and genomics, agronomy, stress tolerance, and reproductive/seed biology will help to address the global challenge of ensuring food security in the face of growing resource demands and climate change induced stresses.
Collapse
Affiliation(s)
| | - Armin Scheben
- School of Biological Sciences, Institute of Agriculture, University of Western Australia, PerthWA, Australia
| | - David Edwards
- School of Biological Sciences, Institute of Agriculture, University of Western Australia, PerthWA, Australia
| | - Charles Spillane
- Plant and AgriBiosciences Research Centre, Ryan Institute, National University of Ireland GalwayGalway, Ireland
| | - Rodomiro Ortiz
- Department of Plant Breeding, Swedish University of Agricultural SciencesAlnarp, Sweden
| |
Collapse
|
45
|
Chen J, Chopra R, Hayes C, Morris G, Marla S, Burke J, Xin Z, Burow G. Genome-Wide Association Study of Developing Leaves' Heat Tolerance during Vegetative Growth Stages in a Sorghum Association Panel. THE PLANT GENOME 2017; 10. [PMID: 28724078 DOI: 10.3835/plantgenome2016.09.0091] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Heat stress reduces grain yield and quality worldwide. Enhancing heat tolerance of crops at all developmental stages is one of the essential strategies required for sustaining agricultural production especially as frequency of temperature extremes escalates in response to climate change. Although heat tolerance mechanisms have been studied extensively in model plant species, little is known about the genetic control underlying heat stress responses of crop plants at the vegetative stage under field conditions. To dissect the genetic basis of heat tolerance in sorghum [ (L.) Moench], we performed a genome-wide association study (GWAS) for traits responsive to heat stress at the vegetative stage in an association panel. Natural variation in leaf firing (LF) and leaf blotching (LB) were evaluated separately for 3 yr in experimental fields at three locations where sporadic heat waves occurred throughout the sorghum growing season. We identified nine single-nucleotide polymorphisms (SNPs) that were significantly associated with LF and five SNPs that were associated with LB. Candidate genes near the SNPs were investigated and 14 were directly linked to biological pathways involved in plant stress responses including heat stress response. The findings of this study provide new knowledge on the genetic control of leaf traits responsive to heat stress in sorghum, which could aid in elucidating the genetic and molecular mechanisms of vegetative stage heat tolerance in crops. The results also provide candidate markers for molecular breeding of enhanced heat tolerance in cereal and bioenergy crops.
Collapse
|
46
|
Boyles RE, Pfeiffer BK, Cooper EA, Rauh BL, Zielinski KJ, Myers MT, Brenton Z, Rooney WL, Kresovich S. Genetic dissection of sorghum grain quality traits using diverse and segregating populations. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2017; 130:697-716. [PMID: 28028582 PMCID: PMC5360839 DOI: 10.1007/s00122-016-2844-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 12/17/2016] [Indexed: 05/20/2023]
Abstract
KEY MESSAGE Coordinated association and linkage mapping identified 25 grain quality QTLs in multiple environments, and fine mapping of the Wx locus supports the use of high-density genetic markers in linkage mapping. There is a wide range of end-use products made from cereal grains, and these products often demand different grain characteristics. Fortunately, cereal crop species including sorghum [Sorghum bicolor (L.) Moench] contain high phenotypic variation for traits influencing grain quality. Identifying genetic variants underlying this phenotypic variation allows plant breeders to develop genotypes with grain attributes optimized for their intended usage. Multiple sorghum mapping populations were rigorously phenotyped across two environments (SC Coastal Plain and Central TX) in 2 years for five major grain quality traits: amylose, starch, crude protein, crude fat, and gross energy. Coordinated association and linkage mapping revealed several robust QTLs that make prime targets to improve grain quality for food, feed, and fuel products. Although the amylose QTL interval spanned many megabases, the marker with greatest significance was located just 12 kb from waxy (Wx), the primary gene regulating amylose production in cereal grains. This suggests higher resolution mapping in recombinant inbred line (RIL) populations can be obtained when genotyped at a high marker density. The major QTL for crude fat content, identified in both a RIL population and grain sorghum diversity panel, encompassed the DGAT1 locus, a critical gene involved in maize lipid biosynthesis. Another QTL on chromosome 1 was consistently mapped in both RIL populations for multiple grain quality traits including starch, crude protein, and gross energy. Collectively, these genetic regions offer excellent opportunities to manipulate grain composition and set up future studies for gene validation.
Collapse
Affiliation(s)
- Richard E Boyles
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, 29634, USA.
- Advanced Plant Technology Program, Clemson University, Clemson, SC, 29634, USA.
| | - Brian K Pfeiffer
- Department of Soil and Crop Sciences, Texas A&M University, 2474 TAMU, College Station, TX, 77843, USA
| | - Elizabeth A Cooper
- Advanced Plant Technology Program, Clemson University, Clemson, SC, 29634, USA
| | - Bradley L Rauh
- Advanced Plant Technology Program, Clemson University, Clemson, SC, 29634, USA
| | - Kelsey J Zielinski
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, 28081, USA
| | - Matthew T Myers
- Advanced Plant Technology Program, Clemson University, Clemson, SC, 29634, USA
| | - Zachary Brenton
- Institute of Translational Genomics, Clemson University, Clemson, SC, 29634, USA
| | - William L Rooney
- Department of Soil and Crop Sciences, Texas A&M University, 2474 TAMU, College Station, TX, 77843, USA
| | - Stephen Kresovich
- Advanced Plant Technology Program, Clemson University, Clemson, SC, 29634, USA
- Institute of Translational Genomics, Clemson University, Clemson, SC, 29634, USA
| |
Collapse
|
47
|
Chopra R, Burow G, Burke JJ, Gladman N, Xin Z. Genome-wide association analysis of seedling traits in diverse Sorghum germplasm under thermal stress. BMC PLANT BIOLOGY 2017; 17:12. [PMID: 28086798 PMCID: PMC5237230 DOI: 10.1186/s12870-016-0966-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 12/23/2016] [Indexed: 05/20/2023]
Abstract
BACKGROUND Climate variability due to fluctuation in temperature is a worldwide concern that imperils crop production. The need to understand how the germplasm variation in major crops can be utilized to aid in discovering and developing breeding lines that can withstand and adapt to temperature fluctuations is more necessary than ever. Here, we analyzed the genetic variation associated with responses to thermal stresses in a sorghum association panel (SAP) representing major races and working groups to identify single nucleotide polymorphisms (SNPs) that are associated with resilience to temperature stress in a major cereal crop. RESULTS The SAP exhibited extensive variation for seedling traits under cold and heat stress. Genome-wide analyses identified 30 SNPs that were strongly associated with traits measured at seedling stage under cold stress and tagged genes that act as regulators of anthocyanin expression and soluble carbohydrate metabolism. Meanwhile, 12 SNPs were significantly associated with seedling traits under heat stress and these SNPs tagged genes that function in sugar metabolism, and ion transport pathways. Evaluation of co-expression networks for genes near the significantly associated SNPs indicated complex gene interactions for cold and heat stresses in sorghum. We focused and validated the expression of four genes in the network of Sb06g025040, a basic-helix-loop-helix (bHLH) transcription factor that was proposed to be involved in purple color pigmentation of leaf, and observed that genes in this network were upregulated during cold stress in a moderately tolerant line as compared to the more sensitive line. CONCLUSION This study facilitated the tagging of genome regions associated with variation in seedling traits of sorghum under cold and heat stress. These findings show the potential of genotype information for development of temperature resilient sorghum cultivars and further characterization of genes and their networks responsible for adaptation to thermal stresses. Knowledge on the gene networks from this research can be extended to the other cereal crops to better understand the genetic basis of resilience to temperature fluctuations during plant developmental stages.
Collapse
Affiliation(s)
- Ratan Chopra
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, 79415, USA.
| | - Gloria Burow
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, 79415, USA.
| | - John J Burke
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, 79415, USA
| | - Nicholas Gladman
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, 79415, USA
| | - Zhanguo Xin
- Plant Stress & Germplasm Development Unit, Cropping Systems Research Laboratory, USDA-ARS, Lubbock, TX, 79415, USA
| |
Collapse
|
48
|
Genetic architecture of kernel composition in global sorghum germplasm. BMC Genomics 2017; 18:15. [PMID: 28056770 PMCID: PMC5217548 DOI: 10.1186/s12864-016-3403-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 12/09/2016] [Indexed: 12/30/2022] Open
Abstract
Background Sorghum [Sorghum bicolor (L.) Moench] is an important cereal crop for dryland areas in the United States and for small-holder farmers in Africa. Natural variation of sorghum grain composition (protein, fat, and starch) between accessions can be used for crop improvement, but the genetic controls are still unresolved. The goals of this study were to quantify natural variation of sorghum grain composition and to identify single-nucleotide polymorphisms (SNPs) associated with variation in grain composition concentrations. Results In this study, we quantified protein, fat, and starch in a global sorghum diversity panel using near-infrared spectroscopy (NIRS). Protein content ranged from 8.1 to 18.8%, fat content ranged from 1.0 to 4.3%, and starch content ranged from 61.7 to 71.1%. Durra and bicolor-durra sorghum from Ethiopia and India had the highest protein and fat and the lowest starch content, while kafir sorghum from USA, India, and South Africa had the lowest protein and the highest starch content. Genome-wide association studies (GWAS) identified quantitative trait loci (QTL) for sorghum protein, fat, and starch. Previously published RNAseq data was used to identify candidate genes within a GWAS QTL region. A putative alpha-amylase 3 gene, which has previously been shown to be associated with grain composition traits, was identified as a strong candidate for protein and fat variation. Conclusions We identified promising sources of genetic material for manipulation of grain composition traits, and several loci and candidate genes that may control sorghum grain composition. This survey of grain composition in sorghum germplasm and identification of protein, fat, and starch QTL contributes to our understanding of the genetic basis of natural variation in sorghum grain nutritional traits. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3403-x) contains supplementary material, which is available to authorized users.
Collapse
|
49
|
Tao Y, Mace ES, Tai S, Cruickshank A, Campbell BC, Zhao X, Van Oosterom EJ, Godwin ID, Botella JR, Jordan DR. Whole-Genome Analysis of Candidate genes Associated with Seed Size and Weight in Sorghum bicolor Reveals Signatures of Artificial Selection and Insights into Parallel Domestication in Cereal Crops. FRONTIERS IN PLANT SCIENCE 2017. [PMID: 28769949 DOI: 10.3389/fp/s.2017.01237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Seed size and seed weight are major quality attributes and important determinants of yield that have been strongly selected for during crop domestication. Limited information is available about the genetic control and genes associated with seed size and weight in sorghum. This study identified sorghum orthologs of genes with proven effects on seed size and weight in other plant species and searched for evidence of selection during domestication by utilizing resequencing data from a diversity panel. In total, 114 seed size candidate genes were identified in sorghum, 63 of which exhibited signals of purifying selection during domestication. A significant number of these genes also had domestication signatures in maize and rice, consistent with the parallel domestication of seed size in cereals. Seed size candidate genes that exhibited differentially high expression levels in seed were also found more likely to be under selection during domestication, supporting the hypothesis that modification to seed size during domestication preferentially targeted genes for intrinsic seed size rather than genes associated with physiological factors involved in the carbohydrate supply and transport. Our results provide improved understanding of the complex genetic control of seed size and weight and the impact of domestication on these genes.
Collapse
Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
| | - Emma S Mace
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
- Department of Agriculture and Fisheries, Hermitage Research FacilityWarwick, QLD, Australia
| | | | - Alan Cruickshank
- Department of Agriculture and Fisheries, Hermitage Research FacilityWarwick, QLD, Australia
| | - Bradley C Campbell
- School of Agriculture and Food Sciences, University of QueenslandBrisbane, QLD, Australia
| | - Xianrong Zhao
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
| | - Erik J Van Oosterom
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandBrisbane, QLD, Australia
| | - Ian D Godwin
- School of Agriculture and Food Sciences, University of QueenslandBrisbane, QLD, Australia
| | - Jose R Botella
- School of Agriculture and Food Sciences, University of QueenslandBrisbane, QLD, Australia
| | - David R Jordan
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
| |
Collapse
|
50
|
Tao Y, Mace ES, Tai S, Cruickshank A, Campbell BC, Zhao X, Van Oosterom EJ, Godwin ID, Botella JR, Jordan DR. Whole-Genome Analysis of Candidate genes Associated with Seed Size and Weight in Sorghum bicolor Reveals Signatures of Artificial Selection and Insights into Parallel Domestication in Cereal Crops. FRONTIERS IN PLANT SCIENCE 2017; 8:1237. [PMID: 28769949 PMCID: PMC5513986 DOI: 10.3389/fpls.2017.01237] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 06/30/2017] [Indexed: 05/22/2023]
Abstract
Seed size and seed weight are major quality attributes and important determinants of yield that have been strongly selected for during crop domestication. Limited information is available about the genetic control and genes associated with seed size and weight in sorghum. This study identified sorghum orthologs of genes with proven effects on seed size and weight in other plant species and searched for evidence of selection during domestication by utilizing resequencing data from a diversity panel. In total, 114 seed size candidate genes were identified in sorghum, 63 of which exhibited signals of purifying selection during domestication. A significant number of these genes also had domestication signatures in maize and rice, consistent with the parallel domestication of seed size in cereals. Seed size candidate genes that exhibited differentially high expression levels in seed were also found more likely to be under selection during domestication, supporting the hypothesis that modification to seed size during domestication preferentially targeted genes for intrinsic seed size rather than genes associated with physiological factors involved in the carbohydrate supply and transport. Our results provide improved understanding of the complex genetic control of seed size and weight and the impact of domestication on these genes.
Collapse
Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
- *Correspondence: Yongfu Tao
| | - Emma S. Mace
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
- Department of Agriculture and Fisheries, Hermitage Research FacilityWarwick, QLD, Australia
- Emma S. Mace
| | | | - Alan Cruickshank
- Department of Agriculture and Fisheries, Hermitage Research FacilityWarwick, QLD, Australia
| | - Bradley C. Campbell
- School of Agriculture and Food Sciences, University of QueenslandBrisbane, QLD, Australia
| | - Xianrong Zhao
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
| | - Erik J. Van Oosterom
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandBrisbane, QLD, Australia
| | - Ian D. Godwin
- School of Agriculture and Food Sciences, University of QueenslandBrisbane, QLD, Australia
| | - Jose R. Botella
- School of Agriculture and Food Sciences, University of QueenslandBrisbane, QLD, Australia
| | - David R. Jordan
- Queensland Alliance for Agriculture and Food Innovation, University of QueenslandWarwick, QLD, Australia
- David R. Jordan
| |
Collapse
|