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Singh S, Jighly A, Sehgal D, Burgueño J, Joukhadar R, Singh SK, Sharma A, Vikram P, Sansaloni CP, Govindan V, Bhavani S, Randhawa M, Solis-Moya E, Singh S, Pardo N, Arif MAR, Laghari KA, Basandrai D, Shokat S, Chaudhary HK, Saeed NA, Basandrai AK, Ledesma-Ramírez L, Sohu VS, Imtiaz M, Sial MA, Wenzl P, Singh GP, Bains NS. Direct introgression of untapped diversity into elite wheat lines. NATURE FOOD 2021; 2:819-827. [PMID: 37117978 DOI: 10.1038/s43016-021-00380-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 08/27/2021] [Indexed: 04/30/2023]
Abstract
The effective utilization of natural variation has become essential in addressing the challenges that climate change and population growth pose to global food security. Currently adopted protracted approaches to introgress exotic alleles into elite cultivars need substantial transformation. Here, through a strategic three-way crossing scheme among diverse exotics and the best historical elites (exotic/elite1//elite2), 2,867 pre-breeding lines were developed, genotyped and screened for multiple agronomic traits in four mega-environments. A meta-genome-wide association study, selective sweeps and haplotype-block-based analyses unveiled selection footprints in the genomes of pre-breeding lines as well as exotic-specific associations with agronomic traits. A simulation with a neutrality assumption demonstrated that many pre-breeding lines had significant exotic contributions despite substantial selection bias towards elite genomes. National breeding programmes worldwide have adopted 95 lines for germplasm enhancement, and 7 additional lines are being advanced in varietal release trials. This study presents a great leap forwards in the mobilization of GenBank variation to the breeding pipelines.
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Affiliation(s)
- Sukhwinder Singh
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
- Geneshifters, Pullman, WA, USA.
| | - A Jighly
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, Australia
| | - D Sehgal
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - J Burgueño
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - R Joukhadar
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, Australia
| | - S K Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - A Sharma
- Department of Plant Breeding & Genetics, Punjab Agricultural University, Ludhiana, India
| | - P Vikram
- International Center for Biosaline Agriculture, Dubai, United Arab Emirates
| | - C P Sansaloni
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - V Govindan
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - S Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - M Randhawa
- CIMMYT-World Agroforestry Centre (ICRAF), Nairobi, Kenya
| | - E Solis-Moya
- Carretera Celaya-San Miguel de Allende, Celaya, México
| | - S Singh
- ICAR-National Institute of Plant Biotechnology, New Delhi, India
| | - N Pardo
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - M A R Arif
- Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan
| | - K A Laghari
- Nuclear Institute of Agriculture, Tando Jam, Pakistan
| | - D Basandrai
- CSK Himachal Pradesh Agricultural University Palampur, Palampur, India
| | - S Shokat
- Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan
- Department of Plant and Environmental Sciences, Crop Science, University of Copenhagen, Taastrup, Denmark
| | - H K Chaudhary
- CSK Himachal Pradesh Agricultural University Palampur, Palampur, India
| | - N A Saeed
- Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan
| | - A K Basandrai
- CSK Himachal Pradesh Agricultural University Palampur, Palampur, India
| | | | - V S Sohu
- Department of Plant Breeding & Genetics, Punjab Agricultural University, Ludhiana, India
| | | | - M A Sial
- Nuclear Institute of Agriculture, Tando Jam, Pakistan
| | | | - G P Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - N S Bains
- Department of Plant Breeding & Genetics, Punjab Agricultural University, Ludhiana, India
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Shi L, Wang K, Du L, Song Y, Li H, Ye X. Genome-Wide Identification and Expression Profiling Analysis of WOX Family Protein-Encoded Genes in Triticeae Species. Int J Mol Sci 2021; 22:ijms22179325. [PMID: 34502234 PMCID: PMC8431079 DOI: 10.3390/ijms22179325] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/05/2021] [Accepted: 08/25/2021] [Indexed: 11/16/2022] Open
Abstract
The WOX family is a group of plant-specific transcription factors which regulate plant growth and development, cell division and differentiation. From the available genome sequence databases of nine Triticeae species, 199 putative WOX genes were identified. Most of the identified WOX genes were distributed on the chromosomes of homeologous groups 1 to 5 and originated via the orthologous evolution approach. Parts of WOX genes in Triticum aestivum were confirmed by the specific PCR markers using a set of Triticum. durum-T. aestivum genome D substitution lines. All of these identified WOX proteins could be grouped into three clades, similar to those in rice and Arabidopsis. WOX family members were conserved among these Triticeae plants; all of them contained the HOX DNA-binding homeodomain, and WUS clade members contained the characteristic WUS-box motif, while only WUS and WOX9 contained the EAR motif. The RNA-seq and qPCR analysis revealed that the TaWOX genes had tissue-specific expression feature. From the expression patterns of TaWOX genes during immature embryo callus production, TaWOX9 is likely closely related with the regulation of regeneration process in T. aestivum. The findings in this study could provide a basis for evolution and functional investigation and practical application of the WOX family genes in Triticeae species.
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Affiliation(s)
- Lei Shi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (L.S.); (K.W.); (L.D.)
- Key Laboratory of Agricultural Biotechnology of Ningxia, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China;
| | - Ke Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (L.S.); (K.W.); (L.D.)
| | - Lipu Du
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (L.S.); (K.W.); (L.D.)
| | - Yuxia Song
- Key Laboratory of Agricultural Biotechnology of Ningxia, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China;
| | - Huihui Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (L.S.); (K.W.); (L.D.)
- Correspondence: (H.L.); (X.Y.)
| | - Xingguo Ye
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (L.S.); (K.W.); (L.D.)
- National Key Facility of Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- Correspondence: (H.L.); (X.Y.)
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Jighly A, Lin Z, Pembleton LW, Cogan NOI, Spangenberg GC, Hayes BJ, Daetwyler HD. Boosting Genetic Gain in Allogamous Crops via Speed Breeding and Genomic Selection. FRONTIERS IN PLANT SCIENCE 2019; 10:1364. [PMID: 31803197 PMCID: PMC6873660 DOI: 10.3389/fpls.2019.01364] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 10/03/2019] [Indexed: 05/13/2023]
Abstract
Breeding schemes that utilize modern breeding methods like genomic selection (GS) and speed breeding (SB) have the potential to accelerate genetic gain for different crops. We investigated through stochastic computer simulation the advantages and disadvantages of adopting both GS and SB (SpeedGS) into commercial breeding programs for allogamous crops. In addition, we studied the effect of omitting one or two selection stages from the conventional phenotypic scheme on GS accuracy, genetic gain, and inbreeding. As an example, we simulated GS and SB for five traits (heading date, forage yield, seed yield, persistency, and quality) with different genetic architectures and heritabilities (0.7, 0.3, 0.4, 0.1, and 0.3; respectively) for a tall fescue breeding program. We developed a new method to simulate correlated traits with complex architectures of which effects can be sampled from multiple distributions, e.g. to simulate the presence of both minor and major genes. The phenotypic selection scheme required 11 years, while the proposed SpeedGS schemes required four to nine years per cycle. Generally, SpeedGS schemes resulted in higher genetic gain per year for all traits especially for traits with low heritability such as persistency. Our results showed that running more SB rounds resulted in higher genetic gain per cycle when compared to phenotypic or GS only schemes and this increase was more pronounced per year when cycle time was shortened by omitting cycle stages. While GS accuracy declined with additional SB rounds, the decline was less in round three than in round two, and it stabilized after the fourth SB round. However, more SB rounds resulted in higher inbreeding rate, which could limit long-term genetic gain. The inbreeding rate was reduced by approximately 30% when generating the initial population for each cycle through random crosses instead of generating half-sib families. Our study demonstrated a large potential for additional genetic gain from combining GS and SB. Nevertheless, methods to mitigate inbreeding should be considered for optimal utilization of these highly accelerated breeding programs.
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Affiliation(s)
- Abdulqader Jighly
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora,VIC, Australia
- *Correspondence: Abdulqader Jighly,
| | - Zibei Lin
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
| | - Luke W. Pembleton
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
| | - Noel O. I. Cogan
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora,VIC, Australia
| | - German C. Spangenberg
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora,VIC, Australia
| | - Ben J. Hayes
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, University of Queensland, QLD, Australia
| | - Hans D. Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora,VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora,VIC, Australia
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