Quantitative Trait Loci for Leaf Chlorophyll Fluorescence Parameters, Chlorophyll and Carotenoid Contents in Relation to Biomass and Yield in Bread Wheat and Their Chromosome Deletion Bin Assignments

Overview

Journal Mol Breed

Specialties Biotechnology
Molecular Biology

Date 2013 Jun 25

PMID 23794940

Citations 31

Authors

I Czyczylo-Mysza

M Tyrka

I Marcinska

E Skrzypek

M Karbarz

M Dziurka

T Hura

K Dziurka

S A Quarrie

Affiliations

Soon will be listed here.

Abstract

Relatively little is known of the genetic control of chlorophyll fluorescence (CF) and pigment traits important in determining efficiency of photosynthesis in wheat and its association with biomass productivity. A doubled haploid population of 94 lines from the wheat cross Chinese Spring × SQ1 was trialled under optimum glasshouse conditions for 4 years to identify quantitative trait loci (QTL) for CF traits including, for the first time in wheat, JIP-test parameters per excited cross section (CS): ABS/CS, DI/CS, TR/CS, RC/CS and ET/CS, key parameters determining efficiency of the photosynthetic apparatus, as well as chlorophyll and carotenoid contents to establish associations with biomass and grain yield. The existing genetic map was extended to 920 loci by adding Diversity Arrays Technology markers. Markers and selected genes for photosynthetic light reactions, pigment metabolism and biomass accumulation were located to chromosome deletion bins. Across all CF traits and years, 116 QTL for CF were located on all chromosomes except 7B, and 39 QTL were identified for pigments on the majority of chromosomes, excluding 1A, 2A, 4A, 3B, 5B, 1D, 2D, 5D, 6D and 7D. Thirty QTL for plant productivity traits were mapped on chromosomes 3A, 5A, 6A, 7A, 1B, 2B, 4B, 6B, 7B, 3D and 4D. A region on chromosome 6B was identified where 14 QTL for CF parameters coincided with QTL for chlorophyll content and grain weight per ear. Thirty-five QTL regions were coincident with candidate genes. The environment was shown to dominate in determining expression of genes for those traits.

Citing Articles

Chlorophyll Fluorescence in Wheat Breeding for Heat and Drought Tolerance.

Abdullaev F, Pirogova P, Vodeneev V, Sherstneva O Plants (Basel). 2024; 13(19).

PMID: 39409648 PMC: 11478672. DOI: 10.3390/plants13192778.

Integrating multiple statistical indices to measure the stability of photosynthetic pigment content and composition in Brassica juncea (L.) Czern germplasm under varying environmental conditions.

Ansari A, Akhatar J, Sharma S, Banga S, Atri C Photosynth Res. 2024; 162(1):63-74.

PMID: 39133366 DOI: 10.1007/s11120-024-01116-3.

Genome-wide association study unravels genomic regions associated with chlorophyll fluorescence parameters in wheat (Triticum aestivum L.) under different sowing conditions.

Gudi S, Saini D, Halladakeri P, Singh G, Singh S, Kaur S Plant Cell Rep. 2023; 42(9):1453-1472.

PMID: 37338572 DOI: 10.1007/s00299-023-03041-6.

Physiological and sucrose metabolic responses to waterlogging stress in balloon flower ( () ).

Ji H, Hyun T Physiol Mol Biol Plants. 2023; 29(4):591-600.

PMID: 37181045 PMC: 10148697. DOI: 10.1007/s12298-023-01310-y.

Overexpression of the bZIP Transcription Factor, , Increases the Stress Tolerance in .

Eom S, Lim H, Hyun T Biology (Basel). 2023; 12(4).

PMID: 37106717 PMC: 10136179. DOI: 10.3390/biology12040517.

References

Akbari M, Wenzl P, Caig V, Carling J, Xia L, Yang S . Diversity arrays technology (DArT) for high-throughput profiling of the hexaploid wheat genome. Theor Appl Genet. 2006; 113(8):1409-20. DOI: 10.1007/s00122-006-0365-4. View

Habash D, Bernard S, Schondelmaier J, Weyen J, Quarrie S . The genetics of nitrogen use in hexaploid wheat: N utilisation, development and yield. Theor Appl Genet. 2006; 114(3):403-19. DOI: 10.1007/s00122-006-0429-5. View

Semagn K, Bjornstad A, Skinnes H, Maroy A, Tarkegne Y, William M . Distribution of DArT, AFLP, and SSR markers in a genetic linkage map of a doubled-haploid hexaploid wheat population. Genome. 2006; 49(5):545-55. DOI: 10.1139/g06-002. View

Wang F, Wang G, Li X, Huang J, Zheng J . Heredity, physiology and mapping of a chlorophyll content gene of rice (Oryza sativa L.). J Plant Physiol. 2007; 165(3):324-30. DOI: 10.1016/j.jplph.2006.11.006. View

Rustenholz C, Choulet F, Laugier C, Safar J, Simkova H, Dolezel J . A 3,000-loci transcription map of chromosome 3B unravels the structural and functional features of gene islands in hexaploid wheat. Plant Physiol. 2011; 157(4):1596-608. PMC: 3327205. DOI: 10.1104/pp.111.183921. View

Wang R, Hai L, Zhang X, You G, Yan C, Xiao S . QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai x Yu8679. Theor Appl Genet. 2008; 118(2):313-25. DOI: 10.1007/s00122-008-0901-5. View

Force L, Critchley C, van Rensen J . New fluorescence parameters for monitoring photosynthesis in plants. Photosynth Res. 2005; 78(1):17-33. DOI: 10.1023/A:1026012116709. View

Falbel T, Staehelin L, Adams 3rd W . Analysis of xanthophyll cycle carotenoids and chlorophyll fluorescence in light intensity-dependent chlorophyll-deficient mutants of wheat and barley. Photosynth Res. 2013; 42(3):191-202. DOI: 10.1007/BF00018262. View

Prasad M, Kumar N, Kulwal P, Roder M, Balyan H, Dhaliwal H . QTL analysis for grain protein content using SSR markers and validation studies using NILs in bread wheat. Theor Appl Genet. 2003; 106(4):659-67. DOI: 10.1007/s00122-002-1114-y. View

10.

Crossa J, Burgueno J, Dreisigacker S, Vargas M, Herrera-Foessel S, Lillemo M . Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure. Genetics. 2007; 177(3):1889-913. PMC: 2147943. DOI: 10.1534/genetics.107.078659. View

11.

McCartney C, Somers D, Humphreys D, Lukow O, Ames N, Noll J . Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452x'AC Domain'. Genome. 2006; 48(5):870-83. DOI: 10.1139/g05-055. View

12.

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

13.

Laperche A, Brancourt-Hulmel M, Heumez E, Gardet O, Le Gouis J . Estimation of genetic parameters of a DH wheat population grown at different N stress levels characterized by probe genotypes. Theor Appl Genet. 2006; 112(5):797-807. DOI: 10.1007/s00122-005-0176-z. View

14.

White J, Law J, Mackay I, Chalmers K, Smith J, Kilian A . The genetic diversity of UK, US and Australian cultivars of Triticum aestivum measured by DArT markers and considered by genome. Theor Appl Genet. 2007; 116(3):439-53. DOI: 10.1007/s00122-007-0681-3. View

15.

Maccaferri M, Sanguineti M, Demontis A, El-Ahmed A, Garcia del Moral L, Maalouf F . Association mapping in durum wheat grown across a broad range of water regimes. J Exp Bot. 2010; 62(2):409-38. DOI: 10.1093/jxb/erq287. View

16.

Groos C, Robert N, Bervas E, Charmet G . Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet. 2003; 106(6):1032-40. DOI: 10.1007/s00122-002-1111-1. View

17.

Jaccoud D, Peng K, Feinstein D, Kilian A . Diversity arrays: a solid state technology for sequence information independent genotyping. Nucleic Acids Res. 2001; 29(4):E25. PMC: 29632. DOI: 10.1093/nar/29.4.e25. View

18.

Yin Z, Meng F, Song H, He X, Xu X, Yu D . Mapping quantitative trait loci associated with chlorophyll a fluorescence parameters in soybean (Glycine max (L.) Merr.). Planta. 2010; 231(4):875-85. DOI: 10.1007/s00425-009-1094-0. View

19.

Agenbag G, Pretorius Z, Boyd L, Bender C, Prins R . Identification of adult plant resistance to stripe rust in the wheat cultivar Cappelle-Desprez. Theor Appl Genet. 2012; 125(1):109-20. DOI: 10.1007/s00122-012-1819-5. View

20.

Zhang K, Fang Z, Liang Y, Tian J . Genetic dissection of chlorophyll content at different growth stages in common wheat. J Genet. 2009; 88(2):183-9. DOI: 10.1007/s12041-009-0026-x. View