Detection of Grain Yield QTLs in the Durum Population Lahn/Cham1 Tested in Contrasting Environments

Overview

Journal Turk J Biol

Specialty Biology

Date 2021 Feb 18

PMID 33597823

Citations 1

Authors

Issame Farouk

Ahmad Alsaleh

Jihan Motowaj

Fatima Gaboun

Bouchra Belkadi

Abdelkarim Filali Maltouf

Zakaria Kehel

Ismahane Elouafi

Nasserelhaq Nsarellah

Miloudi M Nachit

Affiliations

Soon will be listed here.

Abstract

Durum wheat ( L. var durum) is tetraploid wheat (AABB); it is the main source of semolina and other pasta products. Grain yield in wheat is quantitatively inherited and influenced by the environment. The genetic map construction constitutes the essential step in identifying quantitative trait loci (QTLs) linked to complex traits, such as grain yield. The study aimed to construct a genetic linkage map of two parents that are widely grown durum cultivars (Lahn and Cham1) in the Mediterranean basin, which is characterized by varying climate changes. The genetic linkage map of Lahn/Cham1 population consisted of 112 recombinant inbred lines (RILs) and was used to determine QTLs linked to the grain yield in 11 contrasting environments (favorable, cold, dry, and hot). Simple sequence repeat (SSR) molecular markers were used to construct an anchor map, which was later enriched with single nucleotide polymorphisms (SNPs). The map was constructed with 247 SSRs and enriched with 1425 SNPs. The map covered 6122.22 cM. One hundred and twenty-six QTLs were detected on different chromosomes. Chromosomes 2A and 4B harbored the most significant grain yield QTLs. Furthermore, by comparison with several wheat mapping populations, all the A and B chromosomes of Lahn/Cham1 QTLs contributed to grain yield. The results showed that the detected QTLs can be used as a potential candidate for marker-assisted selection in durum breeding programs.

Citing Articles

High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress.

Merida-Garcia R, Galvez S, Solis I, Martinez-Moreno F, Camino C, Soriano J Front Plant Sci. 2024; 15:1470520.

PMID: 39649812 PMC: 11620856. DOI: 10.3389/fpls.2024.1470520.

References

Sourdille P, Cadalen T, Guyomarch H, Snape J, Perretant M, Charmet G . An update of the Courtot x Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat. Theor Appl Genet. 2003; 106(3):530-8. DOI: 10.1007/s00122-002-1044-8. View

Li H, Ye G, Wang J . A modified algorithm for the improvement of composite interval mapping. Genetics. 2006; 175(1):361-74. PMC: 1775001. DOI: 10.1534/genetics.106.066811. View

Farre A, Sayers L, Leverington-Waite M, Goram R, Orford S, Wingen L . Application of a library of near isogenic lines to understand context dependent expression of QTL for grain yield and adaptive traits in bread wheat. BMC Plant Biol. 2016; 16(1):161. PMC: 4952066. DOI: 10.1186/s12870-016-0849-6. View

Elouafi I, Nachit M . A genetic linkage map of the Durum x Triticum dicoccoides backcross population based on SSRs and AFLP markers, and QTL analysis for milling traits. Theor Appl Genet. 2003; 108(3):401-13. DOI: 10.1007/s00122-003-1440-8. View

Roder M, Korzun V, Wendehake K, Plaschke J, Tixier M, Leroy P . A microsatellite map of wheat. Genetics. 1998; 149(4):2007-23. PMC: 1460256. DOI: 10.1093/genetics/149.4.2007. View

Zhang W, Chao S, Manthey F, Chicaiza O, Brevis J, Echenique V . QTL analysis of pasta quality using a composite microsatellite and SNP map of durum wheat. Theor Appl Genet. 2008; 117(8):1361-77. DOI: 10.1007/s00122-008-0869-1. View

Edwards D, Wilcox S, Barrero R, Fleury D, Cavanagh C, Forrest K . Bread matters: a national initiative to profile the genetic diversity of Australian wheat. Plant Biotechnol J. 2012; 10(6):703-8. DOI: 10.1111/j.1467-7652.2012.00717.x. View

Tura H, Edwards J, Gahlaut V, Garcia M, Sznajder B, Baumann U . QTL analysis and fine mapping of a QTL for yield-related traits in wheat grown in dry and hot environments. Theor Appl Genet. 2019; 133(1):239-257. PMC: 7990757. DOI: 10.1007/s00122-019-03454-6. View

Kuchel H, Williams K, Langridge P, Eagles H, Jefferies S . Genetic dissection of grain yield in bread wheat. I. QTL analysis. Theor Appl Genet. 2007; 115(8):1029-41. DOI: 10.1007/s00122-007-0629-7. View

10.

Abiola O, Angel J, Avner P, Bachmanov A, Belknap J, Bennett B . The nature and identification of quantitative trait loci: a community's view. Nat Rev Genet. 2003; 4(11):911-6. PMC: 2063446. DOI: 10.1038/nrg1206. View

11.

Soriano J, Malosetti M, Rosello M, Sorrells M, Royo C . Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis. PLoS One. 2017; 12(5):e0178290. PMC: 5444813. DOI: 10.1371/journal.pone.0178290. View

12.

Heidari B, Sayed-Tabatabaei B, Saeidi G, Kearsey M, Suenaga K . Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat. Genome. 2011; 54(6):517-27. DOI: 10.1139/g11-017. View

13.

Bogard M, Jourdan M, Allard V, Martre P, Perretant M, Ravel C . Anthesis date mainly explained correlations between post-anthesis leaf senescence, grain yield, and grain protein concentration in a winter wheat population segregating for flowering time QTLs. J Exp Bot. 2011; 62(10):3621-36. DOI: 10.1093/jxb/err061. View

14.

Zhang L, Luo J, Hao M, Zhang L, Yuan Z, Yan Z . Genetic map of Triticum turgidum based on a hexaploid wheat population without genetic recombination for D genome. BMC Genet. 2012; 13:69. PMC: 3470960. DOI: 10.1186/1471-2156-13-69. View

15.

Habash D, Baudo M, Hindle M, Powers S, Defoin-Platel M, Mitchell R . Systems responses to progressive water stress in durum wheat. PLoS One. 2014; 9(9):e108431. PMC: 4180936. DOI: 10.1371/journal.pone.0108431. View

16.

Xu D, Wen W, Fu L, Li F, Li J, Xie L . Genetic dissection of a major QTL for kernel weight spanning the Rht-B1 locus in bread wheat. Theor Appl Genet. 2019; 132(11):3191-3200. DOI: 10.1007/s00122-019-03418-w. View

17.

McIntyre C, Mathews K, Rattey A, Chapman S, Drenth J, Ghaderi M . Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theor Appl Genet. 2009; 120(3):527-41. DOI: 10.1007/s00122-009-1173-4. View

18.

Habash D, Kehel Z, Nachit M . Genomic approaches for designing durum wheat ready for climate change with a focus on drought. J Exp Bot. 2009; 60(10):2805-15. DOI: 10.1093/jxb/erp211. View

19.

Almeida G, Makumbi D, Magorokosho C, Nair S, Borem A, Ribaut J . QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance. Theor Appl Genet. 2012; 126(3):583-600. PMC: 3579412. DOI: 10.1007/s00122-012-2003-7. View

20.

Quarrie S, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C . A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring x SQ1 and its use to compare QTLs for grain yield across a range of environments. Theor Appl Genet. 2005; 110(5):865-80. DOI: 10.1007/s00122-004-1902-7. View