Stepwise selection on homeologous PRR genes controlling flowering and maturity during soybean domestication.


Journal

Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904

Informations de publication

Date de publication:
04 2020
Historique:
received: 09 10 2019
accepted: 27 02 2020
pubmed: 2 4 2020
medline: 27 6 2020
entrez: 2 4 2020
Statut: ppublish

Résumé

Adaptive changes in plant phenology are often considered to be a feature of the so-called 'domestication syndrome' that distinguishes modern crops from their wild progenitors, but little detailed evidence supports this idea. In soybean, a major legume crop, flowering time variation is well characterized within domesticated germplasm and is critical for modern production, but its importance during domestication is unclear. Here, we identify sequential contributions of two homeologous pseudo-response-regulator genes, Tof12 and Tof11, to ancient flowering time adaptation, and demonstrate that they act via LHY homologs to promote expression of the legume-specific E1 gene and delay flowering under long photoperiods. We show that Tof12-dependent acceleration of maturity accompanied a reduction in dormancy and seed dispersal during soybean domestication, possibly predisposing the incipient crop to latitudinal expansion. Better understanding of this early phase of crop evolution will help to identify functional variation lost during domestication and exploit its potential for future crop improvement.

Identifiants

pubmed: 32231277
doi: 10.1038/s41588-020-0604-7
pii: 10.1038/s41588-020-0604-7
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

428-436

Références

Darwin, C. On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life (John Murray, 1859).
Hammer, K. Das domestikations syndrom. Kulturpflanze 32, 11–34 (1984).
Harlan, J. R. Crops and Man 2nd edn (American Society of Agronomy, 1992).
Doebley, J. F., Gaut, B. S. & Smith, B. D. The molecular genetics of crop domestication. Cell 127, 1309–1321 (2006).
pubmed: 17190597
Olsen, K. M. & Wendel, J. F. A bountiful harvest: genomic insights into crop domestication phenotypes. Annu. Rev. Plant Biol. 64, 47–70 (2013).
pubmed: 23451788
Meyer, R. S. & Purugganan, M. D. Evolution of crop species: genetics of domestication and diversification. Nat. Rev. Genet. 14, 840–852 (2013).
pubmed: 24240513
Graham, P. H. & Vance, C. P. Legumes: importance and constraints to greater use. Plant Physiol. 131, 872–877 (2003).
pubmed: 12644639 pmcid: 1540286
Hymowitz, T. On the domestication of the soybean. Econ. Bot. 24, 408–421 (1970).
Carter, T. E., Nelson, R., Sneller, C. H. & Cui, Z. in Soybeans: Improvement, Production and Uses 3rd edn (eds Shibbles, R. M. et al.) Ch. 8 (American Society of Agronomy, 2004).
Li, Y. et al. Genetic structure and diversity of cultivated soybean (Glycine max (L.) Merr.) landraces in China. Theor. Appl. Genet. 117, 857–871 (2008).
pubmed: 18587557
Cao, D. et al. Molecular bases of flowering under long days and stem growth habit in soybean. J. Exp. Bot. 68, 1873–1884 (2017).
pubmed: 28338712
Zhou, Z. et al. Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nat. Biotechnol. 33, 408–414 (2015).
pubmed: 25643055
Fang, C. et al. Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean. Genome Biol. 18, 161 (2017).
pubmed: 28838319 pmcid: 5571659
Qi, X. et al. Identification of a novel salt tolerance gene in wild soybean by whole-genome sequencing. Nat. Commun. 5, 4340 (2014).
pubmed: 25004933
Li, M. W., Liu, W., Lam, H. M. & Gendron, J. M. Characterization of two growth period QTLs reveals modification of PRR3 genes during soybean domestication. Plant Cell Physiol. 60, 407–420 (2019).
pubmed: 30418611
Li, S., Cao, Y., He, J., Zhao, T. & Gai, J. Detecting the QTL-allele system conferring flowering date in a nested association mapping population of soybean using a novel procedure. Theor. Appl. Genet. 130, 2297–2314 (2017).
pubmed: 28799029
Lu, S. et al. Identification of additional QTLs for flowering time by removing the effect of the maturity gene E1 in soybean. J. Integr. Agr. 15, 42–49 (2016).
Shen, Y. et al. De novo assembly of a Chinese soybean genome. Sci. China Life Sci. 61, 871–884 (2018).
pubmed: 30062469
Xia, Z. et al. Positional cloning and characterization reveal the molecular basis for soybean maturity locus E1 that regulates photoperiodic flowering. Proc. Natl Acad. Sci. USA 109, E2155–E2164 (2012).
pubmed: 22619331 pmcid: 3420212
Lu, S. et al. Natural variation at the soybean J locus improves adaptation to the tropics and enhances yield. Nat. Genet. 49, 773–779 (2017).
pubmed: 28319089
Kong, F. et al. Two coordinately regulated homologs of FLOWERING LOCUS T are involved in the control of photoperiodic flowering in soybean. Plant Physiol. 154, 1220–1231 (2010).
pubmed: 20864544 pmcid: 2971601
Nakamichi, N. et al. Transcriptional repressor PRR5 directly regulates clock-output pathways. Proc. Natl Acad. Sci. USA 109, 17123–17128 (2012).
pubmed: 23027938 pmcid: 3479524
Wang, M. et al. Parallel selection on a dormancy gene during domestication of crops from multiple families. Nat. Genet. 50, 1435–1441 (2018).
pubmed: 30250128
Dong, Y. et al. Pod shattering resistance associated with domestication is mediated by a NAC gene in soybean. Nat. Commun. 5, 3352 (2014).
pubmed: 24549030
Sun, L. et al. GmHs1-1, encoding a calcineurin-like protein, controls hard-seededness in soybean. Nat. Genet. 47, 939–943 (2015).
pubmed: 26098868
Sedivy, E. J., Wu, F. & Hanzawa, Y. Soybean domestication: the origin, genetic architecture and molecular bases. New Phytol. 214, 539–553 (2017).
pubmed: 28134435
Jiang, B. et al. Allelic combinations of soybean maturity loci E1, E2, E3 and E4 result in diversity of maturity and adaptation to different latitudes. PLoS ONE 8, e106042 (2014).
Ogiso-Tanaka, E., Shimizu, T., Hajika, M., Kaga, A. & Ishimoto, M. Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max). DNA Res. 3, 243–260 (2019).
Nakamichi, N. et al. Arabidopsis clock-associated pseudo-response regulators PRR9, PRR7 and PRR5 coordinatevely and positively regulate flowering time through the canonical CONSTANS-dependent photoperiodic pathway. Plant Cell Physiol. 48, 822–832 (2007).
pubmed: 17504813
Turner, A., Beales, J., Faure, S., Dunford, R. P. & Laurie, D. A. The pseudo-response regulator Ppd-H1 provides adaptation to photoperiod in barley. Science 310, 1031–1034 (2005).
pubmed: 16284181
Beales, J., Turner, A., Griffiths, S., Snape, J. W. & Laurie, D. A. A pseudo-response regulator is misexpressed in the photoperiod insensitive Ppd-D1a mutant of wheat (Triticum aestivum L.). Theor. Appl. Genet. 115, 721–733 (2007).
pubmed: 17634915
Nishida, H. et al. Structural variation in the 50 upstream region of photoperiod-insensitive alleles Ppd-A1a and Ppd-B1a identified in hexaploid wheat (Triticum aestivum L.), and their effect on heading time. Mol. Breed. 31, 27–37 (2013).
Koo, B.-H. et al. Natural variation in OsPRR37 regulates heading date and contributes to rice cultivation at a wide range of latitudes. Mol. Plant 6, 1877–1888 (2013).
pubmed: 23713079
Murphy, R. L. et al. Coincident light and clock regulation of pseudoresponse regulator protein 37 (PRR37) controls photoperiodic flowering in sorghum. Proc. Natl Acad. Sci. USA 108, 16469–16474 (2011).
pubmed: 21930910 pmcid: 3182727
Klein, R. R. et al. Allelic variants in the PRR37 gene and the human-mediated dispersal and diversification of sorghum. Theor. Appl. Genet. 9, 1669–1683 (2015).
Purugganan, M. D. Evolutionary insights into the nature of plant domestication. Curr. Biol. 14, R705–R714 (2019).
Weller, J. L. et al. A conserved molecular basis for photoperiod adaptation in two temperate legumes. Proc. Natl Acad. Sci. USA 109, 21158–21163 (2012).
pubmed: 23213200 pmcid: 3529011
Weller, J. L. et al. Parallel origins of photoperiod adaptation following dual domestications of common bean. J. Exp. Bot. 70, 1209–1219 (2019).
pubmed: 31222352
Blackman, B. K., Strasburg, J. L., Raduski, A. R., Michaels, S. D. & Rieseberg, L. H. The role of recently derived FT paralogs in sunflower domestication. Curr. Biol. 20, 629–635 (2010).
pubmed: 20303265 pmcid: 2898918
Blackman, B. K. et al. Contributions of flowering time genes to sunflower domestication and improvement. Genetics 187, 271–287 (2011).
pubmed: 20944017 pmcid: 3018319
Pin, P. A. et al. The role of a pseudo-response regulator gene in life cycle adaptation and domestication of beet. Curr. Biol. 22, 1095–1101 (2012).
pubmed: 22608508
Guo, L. et al. Stepwise cis-regulatory changes in ZCN8 contribute to maize flowering time adaptation. Curr. Biol. 28, 3005–3015 (2018).
pubmed: 30220503 pmcid: 6537595
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
pubmed: 19451168 pmcid: 2705234
McKenna, A. et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010).
pubmed: 20644199 pmcid: 2928508
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).
pubmed: 19505943 pmcid: 2723002
Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6, 80–92 (2012).
pubmed: 22728672 pmcid: 3679285
Felsenstein, J. PHYLIP-Phylogeny Inference Package (version 3.2). Cladistics 5, 164–166 (1989).
Falush, D., Stephens, M. & Pritchard, J. K. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164, 1567–1587 (2003).
pubmed: 12930761 pmcid: 1462648
Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).
pubmed: 17701901 pmcid: 1950838
Wang, M. et al. Asymmetric subgenome selection and cis-regulatory divergence during cotton domestication. Nat. Genet. 49, 579–587 (2017).
pubmed: 28263319
Fehr, W. R. & Cavines, C. E. Stages of Soybean Development Special Report (Iowa State Univ., 1977).
Fang, C. et al. Rapid identification of consistent novel QTLs underlying long-juvenile trait in soybean by multiple genetic populations and genotyping-by-sequencing. Mol. Breed. 39, 80 (2019).
Kong, L. et al. Quantitative trait locus mapping of flowering time and maturity in soybean using next-generation sequencing-based analysis. Front. Plant Sci. 9, 995 (2018).
pubmed: 30050550 pmcid: 6050445
Van Ooijen J. MapQTL 5 Software for the Mapping of Quantitative Trait Loci in Experimental Populations (Kyazma, 2004).
Nan, H. et al. GmFT2a and GmFT5a redundantly and differentially regulate flowering through interaction with and upregulation of the bZIP transcription factor GmFDL19 in soybean. PLoS ONE 9, e97669 (2014).
pubmed: 24845624 pmcid: 4028237
Cao, D. et al. GmCOL1a and GmCOL1b function as flowering repressors in soybean under long-day conditions. Plant Cell Physiol. 56, 2409–2422 (2015).
pubmed: 26508522
Ma, X. et al. A robust CRISPR/Cas9 system for convenient, high-efficiency multiplex genome editing in monocot and dicot plants. Mol. Plant 8, 1274–1284 (2015).
pubmed: 25917172
Ren, S. et al. CLE25 peptide regulates phloem initiation in Arabidopsis through a CLERK-CLV2 receptor complex. J. Integr. Plant Biol. 10, 1043–1061 (2019).
Hou, X. et al. Nuclear factor Y-mediated H3K27me3 demethylation of the SOC1 locus orchestrates flowering responses of Arabidopsis. Nat. Commun. 5, 4601 (2014).
pubmed: 25105952
Studer, A., Zhao, Q., Ross-Ibarra, J. & Doebley, J. Identification of a functional transposon insertion in the maize domestication gene tb1. Nat. Genet. 43, 1160–1163 (2011).
pubmed: 21946354 pmcid: 3686474
Huang, C. et al. ZmCCT9 enhances maize adaptation to higher latitudes. Proc. Natl Acad. Sci. USA 15, E334–E341 (2018).
Lynch, M. & Conery, J. S. The evolutionary fate and consequences of duplicate genes. Science 290, 1151–1155 (2000).
pubmed: 11073452

Auteurs

Sijia Lu (S)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.
The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China.

Lidong Dong (L)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Chao Fang (C)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Shulin Liu (S)

State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.

Lingping Kong (L)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Qun Cheng (Q)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Liyu Chen (L)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Tong Su (T)

The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China.
University of Chinese Academy of Sciences, Beijing, China.

Haiyang Nan (H)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Dan Zhang (D)

Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China.

Lei Zhang (L)

Anhui Academy of Agricultural Sciences, Hefei, China.

Zhijuan Wang (Z)

State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.

Yongqing Yang (Y)

Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China.

Deyue Yu (D)

National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.

Xiaolei Liu (X)

Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.

Qingyong Yang (Q)

Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China.

Xiaoya Lin (X)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Yang Tang (Y)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Xiaohui Zhao (X)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Xinquan Yang (X)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Changen Tian (C)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.

Qiguang Xie (Q)

Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, China.

Xia Li (X)

State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.

Xiaohui Yuan (X)

School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China. yuanxiaohui@whut.edu.cn.

Zhixi Tian (Z)

State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China. zxtian@genetics.ac.cn.
University of Chinese Academy of Sciences, Beijing, China. zxtian@genetics.ac.cn.

Baohui Liu (B)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China. liubh@iga.ac.cn.
The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China. liubh@iga.ac.cn.

James L Weller (JL)

School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia. jim.weller@utas.edu.au.

Fanjiang Kong (F)

Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China. kongfj@gzhu.edu.cn.
The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China. kongfj@gzhu.edu.cn.
University of Chinese Academy of Sciences, Beijing, China. kongfj@gzhu.edu.cn.

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Classifications MeSH