Characterization of the Moroccan Barley Germplasm Preserved in the Polish Genebank As a First Step Towards Selecting Forms with Increased Drought Tolerance

Overview

Journal Int J Mol Sci

Publisher MDPI

Specialties Biochemistry
Chemistry
Molecular Biology

Date 2023 Nov 25

PMID 38003539

Authors

Maja Boczkowska

Marta Puchta-Jasinska

Paulina Bolc

Kinga Moskal

Szymon Pula

Adrian Motor

Katarzyna Baczek

Jolanta Groszyk

Wieslaw Podyma

Affiliations

Soon will be listed here.

Abstract

In marginal, arid, and semi-arid areas of Morocco, crops are often exposed to multiple abiotic and biotic stresses that have a major impact on yield. Farmer-maintained Moroccan landraces have been shaped by the impact of very strong selection pressures, gradually adapting to the local ecosystem and obsolete low-input agricultural practices without improvement towards high yield and quality. Considering the increasing threat of drought in Poland, it is necessary to introduce germplasm with tolerance to water deficit into barley breeding programs. The aim of this research was a DArTseq-based genetic characterization of a collection of germplasm of Moroccan origin, conserved in the Polish genebank. The results showed that all conserved landraces have a high level of heterogeneity and their gene pool is different from the material developed by Polish breeders. Based on the analysis of eco-geographical data, locations with extremely different intensities of drought stress were selected. A total of 129 SNPs unique to accessions from these locations were identified. In the neighborhood of the clusters of unique SNPs on chromosomes 5H and 6H, genes that may be associated with plant response to drought stress were identified. The results obtained may provide a roadmap for further research to support Polish barley breeding for increased drought tolerance.

References

Sharma S, Schulthess A, Bassi F, Badaeva E, Neumann K, Graner A . Introducing Beneficial Alleles from Plant Genetic Resources into the Wheat Germplasm. Biology (Basel). 2021; 10(10). PMC: 8533267. DOI: 10.3390/biology10100982. View

Casanas F, Simo J, Casals J, Prohens J . Toward an Evolved Concept of Landrace. Front Plant Sci. 2017; 8:145. PMC: 5296298. DOI: 10.3389/fpls.2017.00145. View

Xu Z, Zhou G, Shimizu H . Plant responses to drought and rewatering. Plant Signal Behav. 2010; 5(6):649-54. PMC: 3001553. DOI: 10.4161/psb.5.6.11398. View

Molina-Cano J, Russell J, Moralejo M, Escacena J, Arias G, Powell W . Chloroplast DNA microsatellite analysis supports a polyphyletic origin for barley. Theor Appl Genet. 2005; 110(4):613-9. DOI: 10.1007/s00122-004-1878-3. View

Hill C, Angessa T, Zhang X, Chen K, Zhou G, Tan C . A global barley panel revealing genomic signatures of breeding in modern Australian cultivars. Plant J. 2021; 106(2):419-434. DOI: 10.1111/tpj.15173. View

Abatzoglou J, Dobrowski S, Parks S, Hegewisch K . TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Sci Data. 2018; 5:170191. PMC: 5759372. DOI: 10.1038/sdata.2017.191. View

Edwards K, Johnstone C, Thompson C . A simple and rapid method for the preparation of plant genomic DNA for PCR analysis. Nucleic Acids Res. 1991; 19(6):1349. PMC: 333874. DOI: 10.1093/nar/19.6.1349. View

Mascher M, Gundlach H, Himmelbach A, Beier S, Twardziok S, Wicker T . A chromosome conformation capture ordered sequence of the barley genome. Nature. 2017; 544(7651):427-433. DOI: 10.1038/nature22043. View

Rocha J, Sarkis J, Thomas A, Pitou L, Radzimanowski J, Audry M . Structural insights and membrane binding properties of MGD1, the major galactolipid synthase in plants. Plant J. 2016; 85(5):622-33. DOI: 10.1111/tpj.13129. View

10.

Preisner M, Wojtasik W, Kostyn K, Boba A, Czuj T, Szopa J . The cinnamyl alcohol dehydrogenase family in flax: Differentiation during plant growth and under stress conditions. J Plant Physiol. 2017; 221:132-143. DOI: 10.1016/j.jplph.2017.11.015. View

11.

Bhasin M, Reinherz E, Reche P . Recognition and classification of histones using support vector machine. J Comput Biol. 2006; 13(1):102-12. DOI: 10.1089/cmb.2006.13.102. View

12.

Kabir N, Wang X, Lu L, Qanmber G, Liu L, Si A . Functional characterization of TBL genes revealed the role of GhTBL7 and GhTBL58 in cotton fiber elongation. Int J Biol Macromol. 2023; 241:124571. DOI: 10.1016/j.ijbiomac.2023.124571. View

13.

Piechota U, Czembor P, Slowacki P, Czembor J . Identifying a novel powdery mildew resistance gene in a barley landrace from Morocco. J Appl Genet. 2019; 60(3-4):243-254. PMC: 6803565. DOI: 10.1007/s13353-019-00505-y. View

14.

Peakall R, Smouse P . GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update. Bioinformatics. 2012; 28(19):2537-9. PMC: 3463245. DOI: 10.1093/bioinformatics/bts460. View

15.

Kim Y, Bae J, Huh G . Transcriptional regulation of the cinnamyl alcohol dehydrogenase gene from sweet potato in response to plant developmental stage and environmental stress. Plant Cell Rep. 2010; 29(7):779-91. PMC: 2886125. DOI: 10.1007/s00299-010-0864-2. View

16.

Tanno K, Taketa S, Takeda K, Komatsuda T . A DNA marker closely linked to the vrs1 locus (row-type gene) indicates multiple origins of six-rowed cultivated barley ( Hordeum vulgare L.). Theor Appl Genet. 2003; 104(1):54-60. DOI: 10.1007/s001220200006. View

17.

Dziurdziak J, Podyma W, Bujak H, Boczkowska M . Tracking Changes in the Spring Barley Gene Pool in Poland during 120 Years of Breeding. Int J Mol Sci. 2022; 23(9). PMC: 9099733. DOI: 10.3390/ijms23094553. View

18.

Colmenero-Flores J, Franco-Navarro J, Cubero-Font P, Peinado-Torrubia P, Rosales M . Chloride as a Beneficial Macronutrient in Higher Plants: New Roles and Regulation. Int J Mol Sci. 2019; 20(19). PMC: 6801462. DOI: 10.3390/ijms20194686. View

19.

Wonneberger R, Schreiber M, Haaning A, Muehlbauer G, Waugh R, Stein N . Major chromosome 5H haplotype switch structures the European two-rowed spring barley germplasm of the past 190 years. Theor Appl Genet. 2023; 136(8):174. PMC: 10361897. DOI: 10.1007/s00122-023-04418-7. View

20.

Evanno G, Regnaut S, Goudet J . Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005; 14(8):2611-20. DOI: 10.1111/j.1365-294X.2005.02553.x. View