Genome-wide analysis of the SWEET gene family and its response to powdery mildew and leaf spot infection in the common oat (Avena sativa L.).


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
24 Oct 2024
Historique:
received: 07 05 2024
accepted: 22 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 25 10 2024
Statut: epublish

Résumé

The nutritional quality and yield of oats (Avena sativa) are often compromised by plant diseases such as red leaf, powdery mildew, and leaf spot. Sugars Will Eventually be Exported Transporters (SWEETs) are newly identified sugar transporters involved in regulating plant growth and stress responses. However, the roles of SWEET genes in biotic stress responses remain uncharacterized in oats. In this study, 13 AsSWEET genes were identified across nine chromosomes of the oat genome, all of which were predicted to contain seven transmembrane regions. Phylogenetic analysis revealed four clades of AsSWEET proteins, with high homology to SWEET proteins in the Poaceae family. Collinearity analysis demonstrated strong relationships between oat and Zea mays SWEETs. Using subcellular localization prediction tools, AsSWEET proteins were predicted to localize to the plasma membrane. Promoter analysis revealed cis-acting elements associated with light response, growth, and stress regulation. Six AsSWEET proteins were predicted to interact in a network centered on AsSWEET1a and AsSWEET11. Gene expression analysis of two oat varieties, 'ForagePlus' and 'Molasses', indicated significant expression differences in several AsSWEET genes following infection with powdery mildew or leaf spot, including AsSWEET1a, AsSWEET1b, AsSWEET2b, AsSWEET3a, AsSWEET11, and AsSWEET16. These SWEET genes are potential candidates for disease resistance in oats. This study provides a foundation for understanding the regulatory mechanisms of AsSWEET genes, particularly in response to powdery mildew and leaf spot, and offers insights for enhancing oat molecular breeding.

Identifiants

pubmed: 39448896
doi: 10.1186/s12864-024-10933-8
pii: 10.1186/s12864-024-10933-8
doi:

Substances chimiques

Plant Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

995

Subventions

Organisme : China National Center of Pratacultural Technology Innovation (under preparation) Special Fund for Innovation Platform Construction
ID : CCPTZX2023B05
Organisme : China National Center of Pratacultural Technology Innovation (under preparation) Special Fund for Innovation Platform Construction
ID : CCPTZX2023B05
Organisme : China National Center of Pratacultural Technology Innovation (under preparation) Special Fund for Innovation Platform Construction
ID : CCPTZX2023B05
Organisme : China National Center of Pratacultural Technology Innovation (under preparation) Special Fund for Innovation Platform Construction
ID : CCPTZX2023B05
Organisme : National Natural Science Foundation of China
ID : 32360342, 32301491
Organisme : National Natural Science Foundation of China
ID : 32360342, 32301491
Organisme : Chief Scientist and Program in Gansu Province ,China
ID : 23ZDKA013
Organisme : Chief Scientist and Program in Gansu Province ,China
ID : 23ZDKA013

Informations de copyright

© 2024. The Author(s).

Références

Walmsley AR, Barrett MP, Bringaud F, Gould GW. Sugar transporters from bacteria, parasites and mammals: structure–activity relationships. Trends Biochem Sci. 1998;23(12):476–81. https://doi.org/10.1016/S0968-0004(98)01326-7 .
doi: 10.1016/S0968-0004(98)01326-7 pubmed: 9868370
Zhao L, Yao J, Chen W, Li Y, Lü Y, Guo Y. A genome–wide analysis of SWEET gene family in cotton and their expressions under different stresses. J Cotton Res. 2018;1:1–15. https://doi.org/10.1186/s42397-018-0007-9 .
doi: 10.1186/s42397-018-0007-9
Ruan Y. Sucrose metabolism: gateway to diverse carbon use and sugar signaling. Annu Rev Plant Biol. 2014;65:33–67. https://doi.org/10.1146/annurev-arplant-050213-040251 .
doi: 10.1146/annurev-arplant-050213-040251 pubmed: 24579990
Rolland F, Moore B, Sheen J. Sugar sensing and signaling in plants. Plant Cell. 2002;14(suppl_1):S185–205. https://doi.org/10.3389/fpls.2014.00113 .
doi: 10.3389/fpls.2014.00113 pubmed: 12045277 pmcid: 151255
Slewinski TL. Diverse functional roles of monosaccharide transporters and their homologs in vascular plants: a physiological perspective. Mol Plant. 2011;4(4):641–62. https://doi.org/10.1016/j.pbi.2010.02.001 .
doi: 10.1016/j.pbi.2010.02.001 pubmed: 21746702
Kühn C, Grof PL. Sucrose transporters of higher plants. Curr Opin Plant biol. 2010;13(3):287–97. https://doi.org/10.1016/j.pbi.2010.02.001 .
doi: 10.1016/j.pbi.2010.02.001
Ayre B. Membrane–transport systems for sucrose in relation to whole–plant carbon partitioning. Mol Plant. 2011;4(3):377–94. https://doi.org/10.1093/mp/ssr014 .
doi: 10.1093/mp/ssr014 pubmed: 21502663
Chen L, Hou B, Lalonde S, Takanaga H, Hartung ML, Qu XQ. Sugar transporters for intercellular exchange and nutrition of pathogens. Nature. 2010;468(7323):527–32. https://doi.org/10.1038/nature09606 .
doi: 10.1038/nature09606 pubmed: 21107422 pmcid: 3000469
Chang A, Lin R, Studley W, Tran C. Phylogeny as a guide to structure and function of membrane transport proteins. Mol Membr Biol. 2004;21(3):171–81. https://doi.org/10.1080/09687680410001720830 .
doi: 10.1080/09687680410001720830 pubmed: 15204625
Chen L, Qu X, Hou B, Sosso D, Osorio S, Fernie A, Frommer WB. Sucrose efflux mediated by SWEET proteins as a key step for phloem transport. Sci. 2012;335(6065):207–11. https://doi.org/10.1126/science.1213351 .
doi: 10.1126/science.1213351
Xuan Y, Hu Y, Chen L, Sosso D, Ducat DC, Hou B, Frommer WB. Functional role of oligomerization for bacterial and plant SWEET sugar transporter family. Proc. Natl. Acad. Sci. 2013; 110(39): E3685–E3694. https://doi.org/10.1073/pnas.1311244110
Singh J, Das S, Jagadis Gupta K, Ranjan A, Foyer CH, Thakur JK. Physiological implications of SWEETs in plants and their potential applications in improving source–sink relationships for enhanced yield. Plant Biotechnol J. 2023;21(8):1528–41. https://doi.org/10.1111/pbi.13982 .
doi: 10.1111/pbi.13982 pubmed: 36529911 pmcid: 10363763
Liu Y, Song Y, Ruan Y. Sugar conundrum in plant–pathogen interactions: roles of invertase and sugar transporters depend on pathosystems. J Exp Bot. 2022;73(7):1910–25. https://doi.org/10.1093/jxb/erab562 .
doi: 10.1093/jxb/erab562 pubmed: 35104311 pmcid: 8982439
Li Y, Wang Y, Zhang H, et al. The plasma membrane-localized sucrose transporter IbSWEET10 contributes to the resistance of sweet potato to Fusarium oxysporum. Front Plant Sci. 2017;8:197. https://doi.org/10.3389/fpls.2017.00197 .
doi: 10.3389/fpls.2017.00197 pubmed: 28261250 pmcid: 5306249
Chong J, Piron MC, Meyer S, Merdinoglu D, Bertsch C, Mestre P. The SWEET family of sugar transporters in grapevine: VvSWEET4 is involved in the interaction with Botrytis Cinerea. J Exp Bot. 2014;65(22):6589–601. https://doi.org/10.1093/jxb/eru375 .
doi: 10.1093/jxb/eru375 pubmed: 25246444
Sun M, Zhang Z, Ren Z, Wang X, Sun W, Feng H, et al. The GhSWEET42 glucose transporter participates in Verticillium Dahliae infection in cotton. Front Plant Sci. 2021;12:690754. https://doi.org/10.3389/fpls.2021.690754 .
doi: 10.3389/fpls.2021.690754 pubmed: 34386026 pmcid: 8353158
Breia R, Conde A, Pimentel D, Conde C, Fortes AM, Granell A, Gerós H. VvSWEET7 is a mono-and disaccharide transporter up-regulated in response to Botrytis cinerea infection in grape berries. Front Plant Sci. 2020;10:1753. https://doi.org/10.3389/fpls.2019.01753 .
doi: 10.3389/fpls.2019.01753 pubmed: 32047506 pmcid: 6996298
Bolouri Moghaddam MR, Van den Ende W. Sugars and plant innate immunity. J Exp Bot. 2012;63(11):3989–98. https://doi.org/10.1093/jxb/ers129 .
doi: 10.1093/jxb/ers129 pubmed: 22553288
Trouvelot S, Héloir MC, Poinssot B, Gauthier A, Paris F, Combier M. Carbohydrates in plant immunity and plant protection: roles and potential application as foliar sprays. Front Plant Sci. 2014;5:592. https://doi.org/10.3389/fpls.2014.00592 .
doi: 10.3389/fpls.2014.00592 pubmed: 25408694 pmcid: 4219568
Marshall A, Cowan S, Edwards S, Griffiths I, Howarth C, Langdon T, White E. Crops that feed the world 9. Oats–a cereal crop for human and livestock feed with industrial applications. Food Secur. 2013;5:13–33. https://doi.org/10.1007/s12571-012-0232-x .
doi: 10.1007/s12571-012-0232-x
Cerecetto V, Leoni C, Jurburg SD, Kampouris ID, Smalla K, Babin D. Pasture-crop rotations modulate the soil and rhizosphere microbiota and preserve soil structure supporting oat cultivation in the Pampa biome. Soil Biol Biochem. 2024;195:109451. https://doi.org/10.1016/j.soilbio.2024.109451 .
doi: 10.1016/j.soilbio.2024.109451
Achleitner A, Tinker NA, Zechner E, Buerstmayr H. Genetic diversity among oat varieties of worldwide origin and associations of AFLP markers with quantitative traits. Theor Appl Genet. 2008;117:1041–53. https://doi.org/10.1007/s00122-008-0843-y .
doi: 10.1007/s00122-008-0843-y pubmed: 18633590
Stewart D, McDougall G. Oat agriculture, cultivation and breeding targets: implications for human nutrition and health. Br J Nutr. 2014;112(S2):S50–7. https://doi.org/10.1017/S0007114514002736 .
doi: 10.1017/S0007114514002736 pubmed: 25267245
Hanse B, Schneider JHM, Termorshuizen AJ, Varrelmann M. Pests and diseases contribute to sugar beet yield difference between top and averagely managed farms. Crop Prot. 2011;30(6):671–8. https://doi.org/10.1016/j.cropro.2011.02.018 .
doi: 10.1016/j.cropro.2011.02.018
Haber S, Harder DE. Oat diseases and pathologic techniques. Oat Sci Technol. 1992;33:307–425. https://doi.org/10.2134/agronmonogr33 .
doi: 10.2134/agronmonogr33
Jacobsen BJ, Zidack NK, Larson BJ. The role of Bacillus–based biological control agents in integrated pest management systems: plant diseases. Phytopathology. 2004;94(11):1272–5. https://doi.org/10.1094/PHYTO.2004.94.11.1272 .
doi: 10.1094/PHYTO.2004.94.11.1272 pubmed: 18944466
Nassarawa SS, Luo Z, Lu Y. Conventional and emerging techniques for detection of foodborne pathogens in horticulture crops: a leap to food safety. Food Bioprocess Tech. 2022;15(6):1248–67. https://doi.org/10.1007/s11947-021-02730-y .
doi: 10.1007/s11947-021-02730-y
Qin JX, Jiang YJ, Lu YZ, Peng ZHAO, Wu BJ, Li HX, et al. Genome-wide identification and transcriptome profiling reveal great expansion of SWEET gene family and their wide-spread responses to abiotic stress in wheat (Triticum aestivum L). J Integr Agric. 2020;19(7):1704–20. https://doi.org/10.1016/S2095-3119(19)62761-9 .
doi: 10.1016/S2095-3119(19)62761-9
Saddhe AA, Manuka R, Penna S. Plant sugars: Homeostasis and transport under abiotic stress in plants. Physiol Plant. 2021;171(4):739–55. https://doi.org/10.1111/ppl.13283 .
doi: 10.1111/ppl.13283 pubmed: 33215734
Xuan C, Lan G, Si F, Zeng Z, Wang C, Yadav V. Systematic genome–wide study and expression analysis of SWEET gene family: Sugar transporter family contributes to biotic and abiotic stimuli in watermelon. Int J Mol Sci. 2021;22(16):8407. https://doi.org/10.3390/ijms22168407 .
doi: 10.3390/ijms22168407 pubmed: 34445115 pmcid: 8395094
Borghi M, Fernie AR. Floral metabolism of sugars and amino acids: implications for pollinators’ preferences and seed and fruit set. Plant Physiol. 2017;175(4):1510–24. https://doi.org/10.1104/pp.17.01164 .
doi: 10.1104/pp.17.01164 pubmed: 28986424 pmcid: 5717749
Rolland F, Baena–Gonzalez E, Sheen J. Sugar sensing and signaling in plants: conserved and novel mechanisms. Annu Rev Plant Biol. 2006;57:675–709. https://doi.org/10.1146/annurev.arplant.57.032905.105441 .
doi: 10.1146/annurev.arplant.57.032905.105441 pubmed: 16669778
Ye R, Wang M, Du H, Chhajed S, Koh J, Liu K. Glucose–driven TOR–FIE–PRC2 signalling controls plant development. Nature. 2022;609(7929):986–93. https://doi.org/10.1038/s41586-022-05171-5 .
doi: 10.1038/s41586-022-05171-5 pubmed: 36104568 pmcid: 9530021
Chen Q, Hu T, Li X, Song C, Zhu J, Chen L, Zhao Y. Phosphorylation of SWEET sucrose transporters regulates plant root: shoot ratio under drought. Nat Plants. 2022;8(1):68–77. https://doi.org/10.1038/s41477-021-01040-7 .
doi: 10.1038/s41477-021-01040-7 pubmed: 34949800
Gong Z, Yang S. Drought meets SWEET. Nat Plants. 2022;8(1):25–6. https://doi.org/10.1038/s41477-021-01032-7 .
doi: 10.1038/s41477-021-01032-7 pubmed: 34949801
Zhang R, Niu K, Ma H. Identification and expression analysis of the SWEET gene family from Poa pratensis under abiotic stresses. DNA Cell Biol. 2020;39(9):1606–20. https://doi.org/10.1089/dna.2020.5418 .
doi: 10.1089/dna.2020.5418 pubmed: 32749870
Mizuno H, Kasuga S, Kawahigashi H. The sorghum SWEET gene family: stem sucrose accumulation as revealed through transcriptome profiling. Biotechnol Biofuels. 2016;9:1–12. https://doi.org/10.1186/s13068-016-0546-6 .
doi: 10.1186/s13068-016-0546-6
Yang YTC, Fan H, Wang JJ, Zhu N, Liu Z. Bioinformatics and expression analysis of maize sugar transporter gene ZmSWEET10a. Mol. Plant Breed. 2018;16(20):6537–44. https://doi.org/10.13271/j.mpb.016.006537 . (In Chinese).
doi: 10.13271/j.mpb.016.006537
Gautam T, Dutta M, Jaiswal V, Zinta G, Gahlaut V, Kumar S. Emerging roles of SWEET sugar transporters in plant development and abiotic stress responses. Cells. 2022;11(8):1303. https://doi.org/10.3390/cells11081303 .
doi: 10.3390/cells11081303 pubmed: 35455982 pmcid: 9031177
Fleet J, Ansari M, Pittman JK. Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters. Front Plant Sci. 2022;13:960133. https://doi.org/10.3389/fpls.2022.960133 .
doi: 10.3389/fpls.2022.960133 pubmed: 36186040 pmcid: 9520054
Dempsey DMA, Shah J, Klessig DF. Salicylic acid and disease resistance in plants. Crit Rev Plant Sci. 1999;18(4):547–75. https://doi.org/10.1080/07352689991309397 .
doi: 10.1080/07352689991309397
Muhammad I, Shalmani A, Ali M, Yang QH, Ahmad H, Li FB. Mechanisms regulating the dynamics of photosynthesis under abiotic stresses. Front Plant Sci. 2021;11:615942. https://doi.org/10.3389/fpls.2020.615942 .
doi: 10.3389/fpls.2020.615942 pubmed: 33584756 pmcid: 7876081
Eom JS, Chen LQ, Sosso D, Julius BT, Lin IW, Qu XQ, et al. SWEETs, transporters for intracellular and intercellular sugar translocation. Curr Opin Plant Biol. 2015;25:53–62. https://doi.org/10.1016/j.pbi.2015.04.005 .
doi: 10.1016/j.pbi.2015.04.005 pubmed: 25988582
Zhou J, Peng Z, Long J, Sosso D, Liu B, Eom JS. Gene targeting by the TAL effector PthXo2 reveals cryptic resistance gene for bacterial blight of rice. Plant J. 2015;82(4):632–43. https://doi.org/10.1111/tpj.12838 .
doi: 10.1111/tpj.12838 pubmed: 25824104
Gao Y, Zhang C, Han X, et al. Inhibition of OsSWEET11 function in mesophyll cells improves resistance of rice to sheath blight disease. Mol Plant Pathol. 2018;19(9):2149–61. https://doi.org/10.1111/mpp.12689 .
doi: 10.1111/mpp.12689 pubmed: 29660235 pmcid: 6638089
Zhang L, Li M, Ye G, He M, Wang J, Na T. Cloning and expression analysis of a Sugar transporter protein gene in Potato. Acta Bot Boreal -Occident Sin. 2019;39(9):1528-33. https://doi.org/10.7606/j.issn.1000-4025.2019.09.1528 . (In Chinese).
doi: 10.7606/j.issn.1000-4025.2019.09.1528
Walerowski P, Gündel A, Yahaya N, Truman W, Sobczak M, Olszak M, et al. Clubroot disease stimulates early steps of phloem differentiation and recruits SWEET sucrose transporters within developing galls. Plant Cell. 2018;30(12):3058–73. https://doi.org/10.1105/tpc.18.00283 .
doi: 10.1105/tpc.18.00283 pubmed: 30413655 pmcid: 6354258
Fan X, Ye HM, Wang G, Zhou J. Y. The effect of heterologous expression of StSWEET16b gene on fructose content and late blight resistance in tobacco. Journal of Agricultural Biotechnology. 2021;29(6):1031–1039. https://kns.cnki.net/kcms/detail/11.3342.S.20210511.1018.010.html . (In Chinese).
Kamal N, Tsardakas Renhuldt N, Bentzer J, Gundlach H, Haberer G, Juhász A. The mosaic oat genome gives insights into a uniquely healthy cereal crop. Nature. 2022;606(7912):113–9. https://doi.org/10.1038/s41586-022-04732-y .
doi: 10.1038/s41586-022-04732-y pubmed: 35585233 pmcid: 9159951
Chen C, Wu Y, Li J, Wang X, Zeng Z, Xu J. TBtools–II: a one for all, all for one bioinformatics platform for biological big–data mining. Mol Plant. 2023;16(11):1733–42. https://doi.org/10.1016/j.molp.2023.09.010 .
doi: 10.1016/j.molp.2023.09.010 pubmed: 37740491
Gasteiger E, Hoogland C, Gattiker A, Duvaud SE, Wilkins MR, Appel RD, Bairoch A. Protein identification and analysis tools on the ExPASy server. Humana Press. 2005. https://doi.org/10.1385/1-59259-890-0:571 .
doi: 10.1385/1-59259-890-0:571
Hallgren J, Tsirigos KD, Pedersen MD, Almagro Armenteros JJ, Marcatili P, Nielsen H. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks. BioRxiv. 2022;487609. https://doi.org/10.1101/2022.04.08.487609 .
Chou K, Shen H. Cell–PLoc 2.0: an improved package of web–servers for predicting subcellular localization of proteins in various organisms. Nat Sci. 2010;2(10):1090. https://doi.org/10.4236/ns.2010.210136 .
doi: 10.4236/ns.2010.210136
Waterhouse A, Bertoni M, Bienert S, Studer G, Tauriello G, Gumienny R. SWISS–MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res. 2018;46(W1):W296–303. https://doi.org/10.1093/nar/gky427 .
doi: 10.1093/nar/gky427 pubmed: 29788355 pmcid: 6030848
Bienert S, Waterhouse A, De Beer TA, Tauriello G, Studer G, Bordoli L, Schwede T. The SWISS–MODEL repository—new features and functionality. Nucleic Acids Res. 2017;45(D1):D313–9. https://doi.org/10.1093/nar/gkw1132 .
doi: 10.1093/nar/gkw1132 pubmed: 27899672
Guex N, Peitsch MC, Schwede T. Automated comparative protein structure modeling with SWISS-MODEL and Swiss‐PdbViewer: a historical perspective. Electrophoresis. 2009;30(S1):S162–73. https://doi.org/10.1002/elps.200900140 .
doi: 10.1002/elps.200900140 pubmed: 19517507
Studer G, Rempfer C, Waterhouse AM, Gumienny R, Haas J, Schwede T. QMEANDisCo—distance constraints applied on model quality estimation. Bioinformatics. 2020;36(6):1765–71. https://doi.org/10.1093/bioinformatics/btz828 .
doi: 10.1093/bioinformatics/btz828 pubmed: 31697312
Bertoni M, Kiefer F, Biasini M, Bordoli L, Schwede T. Modeling protein quaternary structure of homo–and hetero–oligomers beyond binary interactions by homology. Sci Rep-uk. 2017;7(1):10480. https://doi.org/10.1038/s41598-017-09654-8 .
doi: 10.1038/s41598-017-09654-8
Ghorbel M, Zribi I, Chihaoui M, Alghamidi A, Mseddi K, Brini F. Genome-wide investigation and expression analysis of the Catalase Gene Family in Oat plants (Avena sativa L). Plants. 2023;12(21):3694. https://doi.org/10.3390/plants12213694 .
doi: 10.3390/plants12213694 pubmed: 37960051 pmcid: 10650400
Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, Xia R. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020;13(8):1194–202. https://doi.org/10.1016/j.molp.2020.06.009 .
doi: 10.1016/j.molp.2020.06.009 pubmed: 32585190
Lescot M, Déhais P, Thijs G, Marchal K, Moreau Y, Van de Peer Y. PlantCARE, a database of plant cis–acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002;30(1):325–7. https://doi.org/10.1093/nar/30.1.325 .
doi: 10.1093/nar/30.1.325 pubmed: 11752327 pmcid: 99092
Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, et al. Circos: an information aesthetic for comparative genomics. Genome Res. 2009;19(9):1639–45. https://doi.org/10.1101/gr.092759.109 . http://www.genome.org/cgi/doi/ .
doi: 10.1101/gr.092759.109 pubmed: 19541911 pmcid: 2752132
Franceschini A, Szklarczyk D, Frankild S, Kuhn M, Simonovic M, Roth A, et al. STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 2012;41(D1):D808–15. https://doi.org/10.1093/nar/gks1094 .
doi: 10.1093/nar/gks1094 pubmed: 23203871 pmcid: 3531103
Damgaard MV, Treebak JT. Protocol for qPCR analysis that corrects for cDNA amplification efficiency. STAR Protoc. 2022;3(3):101515. https://doi.org/10.1016/j.xpro.2022.101515 .
doi: 10.1016/j.xpro.2022.101515 pubmed: 35819886 pmcid: 9283931

Auteurs

Yuanbo Pan (Y)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.

Kuiju Niu (K)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China. niukj@gsau.edu.cn.

Peiqin Miao (P)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.

Guiqin Zhao (G)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.

Yuehua Zhang (Y)

National Center of Pratacultural Technology Innovation (under preparation), Hohhot, 810016, Inner Mongolia, China.

Zeliang Ju (Z)

Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining, 810016, Qinghai, China.

Jikuan Chai (J)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.

Juanjuan Yang (J)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.

Xiaoning Cui (X)

College of Pratacultural Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.

Ran Zhang (R)

Institute of Ecological Protection and Restoration, Grassland Research Center, Chinese Academy of Forestry, National Forestry and Grassland Administration, Beijing, 100091, China.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Animals Hemiptera Insect Proteins Phylogeny Insecticides
Amaryllidaceae Alkaloids Lycoris NADPH-Ferrihemoprotein Reductase Gene Expression Regulation, Plant Plant Proteins
Drought Resistance Gene Expression Profiling Gene Expression Regulation, Plant Gossypium Multigene Family

Classifications MeSH