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Research Articles

Vol. 12 No. 1 (2025)

Introgression profiling of F4 population derived from the cross of Zea mays × Teosinte spp. Mexicana using SSR markers

DOI
https://doi.org/10.14719/pst.3704
Submitted
13 April 2024
Published
28-01-2025 — Updated on 30-01-2025
Versions

Abstract

To increase the production of crops together with resistance to biotic and abiotic stresses, germplasm enrichment is much more important in any breeding programme. Exploitation of Teosinte and Tripsacum, the wild relatives of maize, as the sources of novel genes to improve resiliency, adaptability and productivity in maize, has been documented. In the present study, teosinte was used in the crossing programme. The experiment material comprised 109 RILs derived from Teosinte spp. mexicana and popcorn. Using SSR markers, the introgression profiling of teosinte-derived maize F4 population (109 maize-teosinte derivatives). Morphological characterization for different parameters, i.e., days to maturity, number of cobs, number of tillers, seed rows per cob and cob length, showed significant variation among all the traits studied. The highest significant positive correlation was observed between the number of rows per cob and cob length. Introgression profiles of different lines were inferred from the consensus of genotypic and morphological data, which revealed that the marker bnlg1297 was common among the lines that exhibit a higher number of tillers and cobs. Therefore, these specific genomic regions might be associated with these traits. Thus, these results showed different parental contributions, which leads to diversification in the progenies derived from diverse crosses in maize. Further, such crosses appear crucial for producing germplasm for which breeders are looking.

References

  1. Karn A, Gillman, JD, Flint-Garcia SA. Genetic analysis of teosinte alleles for kernel composition traits in maize. G3: Genes, Genomes, Genetics. 2017;7(4):1157-64. https://doi.org/10.1534/g3.117.039529
  2. Doebley J, Bacigalupo A, Stec A. Inheritance of kernel weight in two maize-teosinte hybrid populations: implications for crop evolution. J Hered. 1995;85(3):191-95. https://doi.org/10.1093/oxfordjournals.jhered.a111434
  3. Flint-GarciaSA. Genetics and consequences of crop domestication. J Agric Food Chem. 2013;61(35):8267-76. https://doi.org/10.1021/jf305511d
  4. FAOSTAT. Food and Agriculture Organisation of United Nations [internet]. FAOSTAT statistical database; 2020 [cited 2024 Oct 18]. Available from: https://www.fao.org
  5. Yang N, Wang Y, Liu X, Jin M, Vallebueno-Estrada M, Calfee E, Chen L, Dilkes BP, Gui S, Fan X, Harper TK. Two teosintes made modern maize. Science. 2023;382(6674):eadg8940. https://doi.org/10.1126/science. adg8940
  6. Mangelsdorf PC. Introgression in maize. Euphytica. 1961;10(2):157-68. https://doi.org/10.1007/bf00022207
  7. Anderson E, Hubrich L. Hybridization in Tradescantia. III. The evidence for introgressive hybridization. Am J Bot. 1938;396-402. https://doi.org/10.2307/2436413
  8. Leonova IN. Molecular markers: Implementation in crop plant breeding for identification, introgression and gene pyramiding. Rus J Gen Appl Res. 2013;3(6):464-73. https://doi.org/10.1134/s2079059713060051
  9. Hufford MB, Lubinksy P, Pyhäjärvi T, Devengenzo MT, Ellstrand NC, Ross-Ibarra J. The genomic signature of crop-wild introgression in maize. PLoS Gen. 2013;9(5): e1003477. https://doi.org/10.1371/journal.pgen.1003477
  10. Yang L, Yang CJ, Cheng Q, Xue W, Doebley JF. Mapping Prolificacy QTL in Maize and Teosinte. J Hered.2016;107(7):674-8. https://doi.org/10.1093/jhered/esw064
  11. Watson SA. Description, development, structure and composition of the corn kernel. In: White PJ, Johnson LA, editor. Corn: chemistry and technology. vol 2. St. Paul:American Association of Cereal Chemists; 2003. p. 69-106.
  12. Flint-Garcia, Sherry A, Bodnar AL, Scott MP. "Wide variability in kernel composition, seed characteristics and zein profiles among diverse maize inbreds, landraces and teosinte. Theor App Genet. 2009; 119:1129-42. https://doi.org/10.1007/s00122-009-1115-1
  13. Yang LiYan YL, Yang ChinJian YC, Cheng Qi CQ, Xue Wei XW, Doebley JF.Mapping prolificacy QTL in maize and teosinte. J Hered. 2016;107(7):674-8. https://doi.org/10.1093/jhered/esw064
  14. Karen SP, Lopes de Souza Junior C, Pereira de Souza A, Augusto Franco Garcia A. QTL mapping for yield components in a tropical maize population using microsatellite markers. Hereditas. 2008;145(4):194-203. https://doi.org/10.1111/j.0018-0661.2008.02065.x
  15. Lin Z, Zhou L, Zhong S, Fang X, Liu H, Li Y, Lin Z. A gene regulatory network for tiller development mediated by Tin8 in maize. J Exp Bot. 2022;73(1):110-22. https://doi.org/10.1093/jxb/erab399
  16. Wei T, Simko V, Levy M, Xie Y, Jin Y, Zemla J. Package corrplot. Statistician. 2017;56:316-24.
  17. Murray MG, Thompson WF. Rapid isolation of high molecular weight plant DNA, Nucl Acid Res. 1980;8:4321-5. https://doi.org/10.1093/nar/8.19.4321
  18. Doebley JF. Molecular systematics of Zea (Gramineae). Maydica. 1990;35(2):143-50.
  19. Kumar A, Singh NK, Adhikari S, Joshi A. Morphological and molecular characterization of teosinte derived maize population. Indian J Genet Plant Breed. 2019;79(04):670-7.https://doi.org/10.31742/ijgpb.79.4.4
  20. Adhikari S, Joshi A, Singh NK. Phenotypic characterization and microsatellite marker analysis of elite maize inbred and teosinte (Zea mays ssp. parviglumis) accession. Pantnagar J Res. 2019;17(2):123-8
  21. Canci H, Toker C. Evaluation of annual wild Cicer species for drought and heat resistance under field conditions. Genet Resour Crop Evol. 2019;56:1-6. https://doi.org/10.1007/s10722-008-9335-9
  22. Timonova EM, Leonova IN, Röder MS, Salina EA. Marker-assisted development and characterization of a set of Triticum aestivum lines carrying different introgressions from the T. timopheevii genome. Mol Breed. 2013; 31:123-36. https://doi.org/10.1007/s11032-012-9776-x
  23. Mallick N, Vinod Sharma JB, Tomar RS, Sivasamy M, Prabhu KV. Marker?assisted backcross breeding to combine multiple rust resistance in wheat. Plant breed. 2015;134(2):1727. https://doi.org/10.1111/pbr.12242/full
  24. Warschefsky E, Penmetsa RV, Cook DR, Von Wettberg EJ. Back to the wilds: tapping evolutionary adaptations for resilient crops through systematic hybridization with crop wild relatives. Am J Bot. 2014;101(10):1791-1800.https://doi.org/10.3732/ajb.1400116
  25. Tanksley SD, McCouch SR. Seed banks and molecular maps: unlocking genetic potential from the wild. Science. 1997;277(5329):1063-6. https://doi.org/10.1126/science.277.5329.106
  26. Adhikari S, Joshi A, Kumar A, Singh NK, Jaiswal JP, Jeena AS. Revealing the genetic diversity of teosinte introgressed maize population by morphometric traits and microsatellite markers. J Plant Biochem. 2022;31.4:720-73. https://doi.org/10.1007/s13562-021-00710-z
  27. Young ND, Tanksley SD. Restriction fragment length polymorphism maps and the concept of graphical genotypes. Theor Appl Genet. 1989;77(1):95-101. https://doi.org/10.1007/BF00292322

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