1
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Lu Q, Zhao H, Zhang Z, Bai Y, Zhao H, Liu G, Liu M, Zheng Y, Zhao H, Gong H, Chen L, Deng X, Hong X, Liu T, Li B, Lu P, Wen F, Wang L, Li Z, Li H, Li H, Zhang L, Ma W, Liu C, Bai Y, Xin B, Chen J, E L, Lai J, Song W. Genomic variation in weedy and cultivated broomcorn millet accessions uncovers the genetic architecture of agronomic traits. Nat Genet 2024; 56:1006-1017. [PMID: 38658793 DOI: 10.1038/s41588-024-01718-6] [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: 01/08/2023] [Accepted: 03/15/2024] [Indexed: 04/26/2024]
Abstract
Large-scale genomic variations are fundamental resources for crop genetics and breeding. Here we sequenced 1,904 genomes of broomcorn millet to an average of 40× sequencing depth and constructed a comprehensive variation map of weedy and cultivated accessions. Being one of the oldest cultivated crops, broomcorn millet has extremely low nucleotide diversity and remarkably rapid decay of linkage disequilibrium. Genome-wide association studies identified 186 loci for 12 agronomic traits. Many causative candidate genes, such as PmGW8 for grain size and PmLG1 for panicle shape, showed strong selection signatures during domestication. Weedy accessions contained many beneficial variations for the grain traits that are largely lost in cultivated accessions. Weedy and cultivated broomcorn millet have adopted different loci controlling flowering time for regional adaptation in parallel. Our study uncovers the unique population genomic features of broomcorn millet and provides an agronomically important resource for cereal crops.
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Affiliation(s)
- Qiong Lu
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Hainan Zhao
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
- Frontiers Science Center for Molecular Design Breeding (Ministry of Education), China Agricultural University, Beijing, People's Republic of China
| | - Zhengquan Zhang
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Yuhe Bai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Haiming Zhao
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Guoqing Liu
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, People's Republic of China
| | - Minxuan Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
| | - Yunxiao Zheng
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Haiyue Zhao
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Huihui Gong
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Lingwei Chen
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Xizhen Deng
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Xiangde Hong
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Tianxiang Liu
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Baichuan Li
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Ping Lu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
| | - Feng Wen
- Tongliao Agricultural and Animal Husbandry Research Institute, Tongliao, People's Republic of China
| | - Lun Wang
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, People's Republic of China
| | - Zhijiang Li
- Institute of Crop Resources Research, Heilongjiang Academy of Agricultural Sciences, Harbin, People's Republic of China
| | - Hai Li
- High Latitude Crops Institute, Shanxi Agricultural University, Datong, People's Republic of China
| | - Haiquan Li
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, People's Republic of China
| | - Like Zhang
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Wenhui Ma
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Chunqing Liu
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Yan Bai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Beibei Xin
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Jian Chen
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Lizhu E
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Jinsheng Lai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
- Frontiers Science Center for Molecular Design Breeding (Ministry of Education), China Agricultural University, Beijing, People's Republic of China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, People's Republic of China
- Sanya Institute of China Agricultural University, Sanya, People's Republic of China
| | - Weibin Song
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
- Frontiers Science Center for Molecular Design Breeding (Ministry of Education), China Agricultural University, Beijing, People's Republic of China.
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, People's Republic of China.
- Sanya Institute of China Agricultural University, Sanya, People's Republic of China.
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2
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Jiao S, Mamidi S, Chamberlin MA, Beatty M, Thatcher S, Simcox KD, Maina F, Wang-Nan H, Johal GS, Heetland L, Marla SR, Meeley RB, Schmutz J, Morris GP, Multani DS. Parallel tuning of semi-dwarfism via differential splicing of Brachytic1 in commercial maize and smallholder sorghum. THE NEW PHYTOLOGIST 2023; 240:1930-1943. [PMID: 37737036 DOI: 10.1111/nph.19273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/19/2023] [Indexed: 09/23/2023]
Abstract
In the current genomic era, the search and deployment of new semi-dwarf alleles have continued to develop better plant types in all cereals. We characterized an agronomically optimal semi-dwarf mutation in Zea mays L. and a parallel polymorphism in Sorghum bicolor L. We cloned the maize brachytic1 (br1-Mu) allele by a modified PCR-based Sequence Amplified Insertion Flanking Fragment (SAIFF) approach. Histology and RNA-Seq elucidated the mechanism of semi-dwarfism. GWAS linked a sorghum plant height QTL with the Br1 homolog by resequencing a West African sorghum landraces panel. The semi-dwarf br1-Mu allele encodes an MYB transcription factor78 that positively regulates stalk cell elongation by interacting with the polar auxin pathway. Semi-dwarfism is due to differential splicing and low functional Br1 wild-type transcript expression. The sorghum ortholog, SbBr1, co-segregates with the major plant height QTL qHT7.1 and is alternatively spliced. The high frequency of the Sbbr1 allele in African landraces suggests that African smallholder farmers used the semi-dwarf allele to improve plant height in sorghum long before efforts to introduce Green Revolution-style varieties in the 1960s. Surprisingly, variants for differential splicing of Brachytic1 were found in both commercial maize and smallholder sorghum, suggesting parallel tuning of plant architecture across these systems.
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Affiliation(s)
- Shuping Jiao
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Sujan Mamidi
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | | | - Mary Beatty
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Shawn Thatcher
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Kevin D Simcox
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Fanna Maina
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Hu Wang-Nan
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Gurmukh S Johal
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA
| | - Lynn Heetland
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Sandeep R Marla
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Robert B Meeley
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Geoffrey P Morris
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
- Soil & Crop Sciences, Colorado State University, Plant Sciences Building, Fort Collins, CO, 11111, USA
| | - Dilbag S Multani
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
- Napigen Inc., 200 Powder Mill Road, Delaware Innovation Space - E500, Wilmington, DE, 19803, USA
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3
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Guden B, Yol E, Erdurmus C, Lucas SJ, Uzun B. Construction of a high-density genetic linkage map and QTL mapping for bioenergy-related traits in sweet sorghum [ Sorghum bicolor (L.) Moench]. FRONTIERS IN PLANT SCIENCE 2023; 14:1081931. [PMID: 37342135 PMCID: PMC10278949 DOI: 10.3389/fpls.2023.1081931] [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: 10/27/2022] [Accepted: 05/15/2023] [Indexed: 06/22/2023]
Abstract
Sorghum is an important but arguably undervalued cereal crop, grown in large areas in Asia and Africa due to its natural resilience to drought and heat. There is growing demand for sweet sorghum as a source of bioethanol as well as food and feed. The improvement of bioenergy-related traits directly affects bioethanol production from sweet sorghum; therefore, understanding the genetic basis of these traits would enable new cultivars to be developed for bioenergy production. In order to reveal the genetic architecture behind bioenergy-related traits, we generated an F2 population from a cross between sweet sorghum cv. 'Erdurmus' and grain sorghum cv. 'Ogretmenoglu'. This was used to construct a genetic map from SNPs discovered by double-digest restriction-site associated DNA sequencing (ddRAD-seq). F3 lines derived from each F2 individual were phenotyped for bioenergy-related traits in two different locations and their genotypes were analyzed with the SNPs to identify QTL regions. On chromosomes 1, 7, and 9, three major plant height (PH) QTLs (qPH1.1, qPH7.1, and qPH9.1) were identified, with phenotypic variation explained (PVE) ranging from 10.8 to 34.8%. One major QTL (qPJ6.1) on chromosome 6 was associated with the plant juice trait (PJ) and explained 35.2% of its phenotypic variation. For fresh biomass weight (FBW), four major QTLs (qFBW1.1, qFBW6.1, qFBW7.1, and qFBW9.1) were determined on chromosomes 1, 6, 7, and 9, which explained 12.3, 14.5, 10.6, and 11.9% of the phenotypic variation, respectively. Moreover, two minor QTLs (qBX3.1 and qBX7.1) of Brix (BX) were mapped on chromosomes 3 and 7, explaining 8.6 and 9.7% of the phenotypic variation, respectively. The QTLs in two clusters (qPH7.1/qBX7.1 and qPH7.1/qFBW7.1) overlapped for PH, FBW and BX. The QTL, qFBW6.1, has not been previously reported. In addition, eight SNPs were converted into cleaved amplified polymorphic sequences (CAPS) markers, which can be easily detected by agarose gel electrophoresis. These QTLs and molecular markers can be used for pyramiding and marker-assisted selection studies in sorghum, to develop advanced lines that include desirable bioenergy-related traits.
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Affiliation(s)
- Birgul Guden
- Department of Field Crops, Faculty of Agriculture, Akdeniz University, Antalya, Türkiye
| | - Engin Yol
- Department of Field Crops, Faculty of Agriculture, Akdeniz University, Antalya, Türkiye
| | - Cengiz Erdurmus
- Department of Field Crops, West Mediterranean Agricultural Research Institute, Antalya, Türkiye
| | - Stuart James Lucas
- Sabanci University Nanotechnology Research and Application Centre, Sabanci University, Istanbul, Türkiye
| | - Bulent Uzun
- Department of Field Crops, Faculty of Agriculture, Akdeniz University, Antalya, Türkiye
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4
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Diatta-Holgate E, Hugghis E, Weil C, Faye JM, Danquah A, Diatta C, Tongoona P, Danquah EY, Cisse N, Tuinstra MR. Natural variability for protein digestibility and grain quality traits in a West African Sorghum Association Panel. J Cereal Sci 2022. [DOI: 10.1016/j.jcs.2022.103504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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5
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Maina F, Harou A, Hamidou F, Morris GP. Genome-wide association studies identify putative pleiotropic locus mediating drought tolerance in sorghum. PLANT DIRECT 2022; 6:e413. [PMID: 35774626 PMCID: PMC9219007 DOI: 10.1002/pld3.413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/17/2022] [Accepted: 05/28/2022] [Indexed: 06/01/2023]
Abstract
Drought is a key constraint on plant productivity and threat to food security. Sorghum (Sorghum bicolor L. Moench), a global staple food and forage crop, is among the most drought-adapted cereal crops, but its adaptation is not yet well understood. This study aims to better understand the genetic basis of preflowering drought in sorghum and identify loci underlying variation in water use and yield components under drought. A panel of 219 diverse sorghum from West Africa was phenotyped for yield components and water use in an outdoor large-tube lysimeter system under well-watered (WW) versus a preflowering drought water-stressed (WS) treatment. The experimental system was validated based on characteristic drought response in international drought tolerant check genotypes and genome-wide association studies (GWAS) that mapped the major height locus at QHT7.1 and Dw3. GWAS further identified marker trait associations (MTAs) for drought-related traits (plant height, flowering time, forage biomass, grain weight, water use) that each explained 7-70% of phenotypic variance. Most MTAs for drought-related traits correspond to loci not previously reported, but some MTA for forage biomass and grain weight under WS co-localized with staygreen post-flowering drought tolerance loci (Stg3a and Stg4). A globally common allele at S7_50055849 is associated with several yield components under drought, suggesting that it tags a major pleiotropic variant controlling assimilate partitioning to grain versus vegetative biomass. The GWAS revealed oligogenic variants for drought tolerance in sorghum landraces, which could be used as trait predictive markers for improved drought adaptation.
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Affiliation(s)
- Fanna Maina
- Department of AgronomyKansas State UniversityManhattanKansasUSA
- Institut National de la Recherche Agronomique du NigerNiameyNiger
| | - Abdou Harou
- International Crops Research Institute for the Semi‐Arid Tropics – Sahelian CenterNiameyNiger
| | - Falalou Hamidou
- International Crops Research Institute for the Semi‐Arid Tropics – Sahelian CenterNiameyNiger
- Department of Biology, Faculty of Sciences and TechnologyAbdou Moumouni UniversityNiameyNiger
| | - Geoffrey P. Morris
- Department of Soil & Crop ScienceColorado State UniversityFort CollinsColoradoUSA
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6
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Simpson CJC, Reeves G, Tripathi A, Singh P, Hibberd JM. Using breeding and quantitative genetics to understand the C4 pathway. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:3072-3084. [PMID: 34747993 PMCID: PMC9126733 DOI: 10.1093/jxb/erab486] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/03/2021] [Indexed: 05/09/2023]
Abstract
Reducing photorespiration in C3 crops could significantly increase rates of photosynthesis and yield. One method to achieve this would be to integrate C4 photosynthesis into C3 species. This objective is challenging as it involves engineering incompletely understood traits into C3 leaves, including complex changes to their biochemistry, cell biology, and anatomy. Quantitative genetics and selective breeding offer underexplored routes to identify regulators of these processes. We first review examples of natural intraspecific variation in C4 photosynthesis as well as the potential for hybridization between C3 and C4 species. We then discuss how quantitative genetic approaches including artificial selection and genome-wide association could be used to better understand the C4 syndrome and in so doing guide the engineering of the C4 pathway into C3 crops.
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Affiliation(s)
- Conor J C Simpson
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Gregory Reeves
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Anoop Tripathi
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Pallavi Singh
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Julian M Hibberd
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
- Correspondence:
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7
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Faye JM, Akata EA, Sine B, Diatta C, Cisse N, Fonceka D, Morris GP. Quantitative and population genomics suggest a broad role of stay-green loci in the drought adaptation of sorghum. THE PLANT GENOME 2022; 15:e20176. [PMID: 34817118 DOI: 10.1002/tpg2.20176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/08/2021] [Indexed: 06/13/2023]
Abstract
Drought is a major constraint on plant productivity globally. Sorghum [Sorghum bicolor (L.) Moench] landraces have evolved in drought-prone regions, but the genetics of their adaptation is poorly understood. Here we sought to identify novel drought-tolerance loci and test hypotheses on the role of known loci including those underlying stay-green (Stg) postflowering drought tolerance. We phenotyped 590 diverse sorghum accessions from West Africa in 10 environments, under field-based managed drought stress [preflowering water stress (WS1), postflowering water stress (WS2), and well-watered (WW)] and rainfed (RF) conditions over 4 yr. Days to 50% flowering (DFLo), aboveground dry biomass (DBM), plant height (PH), and plant grain yield components (including grain weight [GrW], panicle weight [PW] and grain number [GrN] per plant, and 1000-grain weight [TGrW]) were measured, and genome-wide association studies (GWAS) was conducted. Broad-sense heritability for biomass and plant grain yield was high (33-92%) across environments. There was a significant correlation between stress tolerance index (STI) for GrW per plant across WS1 and WS2. Genome-wide association studies revealed that SbZfl1 and SbCN12, orthologs of maize (Zea mays L.) flowering genes, likely underlie flowering time variation under these conditions. Genome-wide association studies further identified associations (n = 134; common between two GWAS models) for STI and drought effects on plant yield components including 16 putative pleiotropic associations. Thirty of the associations colocalized with Stg1, Stg2, Stg3, and Stg4 loci and had large effects. Seven lead associations, including some within Stg1, overlapped with positive selection outliers. Our findings reveal previously undescribed natural genetic variation for drought-tolerance-related traits and suggest a broad role of Stg loci in drought adaptation of sorghum.
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Affiliation(s)
- Jacques M Faye
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, USA
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Eyanawa A Akata
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
- Institut Togolais de Recherche Agronomique, Kara, Togo
| | - Bassirou Sine
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Cyril Diatta
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Ndiaga Cisse
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
| | - Daniel Fonceka
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Institut Sénégalais de Recherches Agricoles, Thiès, Senegal
- AGAP, Univ. Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Geoffrey P Morris
- Dep. of Agronomy, Kansas State Univ., Manhattan, KS, USA
- Dep. of Soil & Crop Science, Colorado State Univ., Ft. Collins, CO, 80523, USA
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8
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Muleta KT, Felderhoff T, Winans N, Walstead R, Charles JR, Armstrong JS, Mamidi S, Plott C, Vogel JP, Lemaux PG, Mockler TC, Grimwood J, Schmutz J, Pressoir G, Morris GP. The recent evolutionary rescue of a staple crop depended on over half a century of global germplasm exchange. SCIENCE ADVANCES 2022; 8:eabj4633. [PMID: 35138897 PMCID: PMC8827733 DOI: 10.1126/sciadv.abj4633] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Rapid environmental change can lead to population extinction or evolutionary rescue. The global staple crop sorghum (Sorghum bicolor) has recently been threatened by a global outbreak of an aggressive new biotype of sugarcane aphid (SCA; Melanaphis sacchari). We characterized genomic signatures of adaptation in a Haitian breeding population that had rapidly adapted to SCA infestation, conducting evolutionary population genomics analyses on 296 Haitian lines versus 767 global accessions. Genome scans and geographic analyses suggest that SCA adaptation has been conferred by a globally rare East African allele of RMES1, which spread to breeding programs in Africa, Asia, and the Americas. De novo genome sequencing revealed potential causative variants at RMES1. Markers developed from the RMES1 sweep predicted resistance in eight independent commercial and public breeding programs. These findings demonstrate the value of evolutionary genomics to develop adaptive trait technology and highlight the benefits of global germplasm exchange to facilitate evolutionary rescue.
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Affiliation(s)
- Kebede T. Muleta
- Department of Agronomy, Kansas State University, Manhattan, KS 66502, USA
| | - Terry Felderhoff
- Department of Agronomy, Kansas State University, Manhattan, KS 66502, USA
| | - Noah Winans
- Department of Agronomy, Kansas State University, Manhattan, KS 66502, USA
| | - Rachel Walstead
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Jean Rigaud Charles
- Chibas and Faculty of Agriculture and Environmental Sciences, Quisqueya University, Port-au-Prince, Haiti
| | - J. Scott Armstrong
- U.S. Department of Agriculture, Agricultural Research Service, Wheat, Peanut and Other Field Crops Research Unit, 1301 North Western Rd., Stillwater, OK 74075, USA
| | - Sujan Mamidi
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Chris Plott
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - John P. Vogel
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Peggy G. Lemaux
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Todd C. Mockler
- Donald Danforth Plant Science Center, St. Louis, MO 63132, USA
| | - Jane Grimwood
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Gael Pressoir
- Chibas and Faculty of Agriculture and Environmental Sciences, Quisqueya University, Port-au-Prince, Haiti
| | - Geoffrey P. Morris
- Department of Agronomy, Kansas State University, Manhattan, KS 66502, USA
- Department of Soil and Crop Science, Colorado State University, Fort Collins, CO 80526, USA
- Corresponding author.
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9
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Silva TN, Thomas JB, Dahlberg J, Rhee SY, Mortimer JC. Progress and challenges in sorghum biotechnology, a multipurpose feedstock for the bioeconomy. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:646-664. [PMID: 34644381 PMCID: PMC8793871 DOI: 10.1093/jxb/erab450] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/10/2021] [Indexed: 05/09/2023]
Abstract
Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop globally by harvested area and production. Its drought and heat tolerance allow high yields with minimal input. It is a promising biomass crop for the production of biofuels and bioproducts. In addition, as an annual diploid with a relatively small genome compared with other C4 grasses, and excellent germplasm diversity, sorghum is an excellent research species for other C4 crops such as maize. As a result, an increasing number of researchers are looking to test the transferability of findings from other organisms such as Arabidopsis thaliana and Brachypodium distachyon to sorghum, as well as to engineer new biomass sorghum varieties. Here, we provide an overview of sorghum as a multipurpose feedstock crop which can support the growing bioeconomy, and as a monocot research model system. We review what makes sorghum such a successful crop and identify some key traits for future improvement. We assess recent progress in sorghum transformation and highlight how transformation limitations still restrict its widespread adoption. Finally, we summarize available sorghum genetic, genomic, and bioinformatics resources. This review is intended for researchers new to sorghum research, as well as those wishing to include non-food and forage applications in their research.
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Affiliation(s)
- Tallyta N Silva
- Joint BioEnergy Institute, Emeryville, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jason B Thomas
- Carnegie Institution for Science, Department of Plant Biology, Stanford, CA, USA
| | - Jeff Dahlberg
- Joint BioEnergy Institute, Emeryville, CA, USA
- UC-ANR-KARE, 9240 S. Riverbend Ave, Parlier, CA, USA
| | - Seung Y Rhee
- Carnegie Institution for Science, Department of Plant Biology, Stanford, CA, USA
- Correspondence: or
| | - Jenny C Mortimer
- Joint BioEnergy Institute, Emeryville, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, SA, Australia
- Correspondence: or
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Volk GM, Byrne PF, Coyne CJ, Flint-Garcia S, Reeves PA, Richards C. Integrating Genomic and Phenomic Approaches to Support Plant Genetic Resources Conservation and Use. PLANTS (BASEL, SWITZERLAND) 2021; 10:2260. [PMID: 34834625 PMCID: PMC8619436 DOI: 10.3390/plants10112260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 05/17/2023]
Abstract
Plant genebanks provide genetic resources for breeding and research programs worldwide. These programs benefit from having access to high-quality, standardized phenotypic and genotypic data. Technological advances have made it possible to collect phenomic and genomic data for genebank collections, which, with the appropriate analytical tools, can directly inform breeding programs. We discuss the importance of considering genebank accession homogeneity and heterogeneity in data collection and documentation. Citing specific examples, we describe how well-documented genomic and phenomic data have met or could meet the needs of plant genetic resource managers and users. We explore future opportunities that may emerge from improved documentation and data integration among plant genetic resource information systems.
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Affiliation(s)
- Gayle M. Volk
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
| | - Patrick F. Byrne
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA;
| | - Clarice J. Coyne
- United States Department of Agriculture, Agricultural Research Service, Western Regional Plant Introduction Station, Pullman, WA 99164, USA;
| | - Sherry Flint-Garcia
- Plant Genetics Research Unit, United States Department of Agriculture, Agricultural Research Service, Columbia, MO 65211, USA;
| | - Patrick A. Reeves
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
| | - Chris Richards
- United States Department of Agriculture, Agricultural Research Service, National Laboratory for Genetic Resources Preservation, Fort Collins, CO 80521, USA; (P.A.R.); (C.R.)
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