Literature DB >> 23794940

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.

I Czyczyło-Mysza1, M Tyrka, I Marcińska, E Skrzypek, M Karbarz, M Dziurka, T Hura, K Dziurka, S A Quarrie.   

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 (CSm): ABS/CSm, DIo/CSm, TRo/CSm, RC/CSm and ETo/CSm, 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.

Entities:  

Keywords:  Chlorophyll fluorescence kinetics; Deletion bin; Photosynthetic pigment content; Quantitative trait loci; Triticum aestivum; Yield and biomass

Year:  2013        PMID: 23794940      PMCID: PMC3684715          DOI: 10.1007/s11032-013-9862-8

Source DB:  PubMed          Journal:  Mol Breed        ISSN: 1380-3743            Impact factor:   2.589


  37 in total

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Authors:  R X Wang; L Hai; X Y Zhang; G X You; C S Yan; S H Xiao
Journal:  Theor Appl Genet       Date:  2008-10-14       Impact factor: 5.699

2.  A 3,000-loci transcription map of chromosome 3B unravels the structural and functional features of gene islands in hexaploid wheat.

Authors:  Camille Rustenholz; Frédéric Choulet; Christel Laugier; Jan Safár; Hana Simková; Jaroslav Dolezel; Federica Magni; Simone Scalabrin; Federica Cattonaro; Sonia Vautrin; Arnaud Bellec; Hélène Bergès; Catherine Feuillet; Etienne Paux
Journal:  Plant Physiol       Date:  2011-10-27       Impact factor: 8.340

3.  The genetics of nitrogen use in hexaploid wheat: N utilisation, development and yield.

Authors:  Dimah Z Habash; Stephanie Bernard; Jörg Schondelmaier; Jens Weyen; Steve A Quarrie
Journal:  Theor Appl Genet       Date:  2006-12-16       Impact factor: 5.699

4.  Diversity arrays technology (DArT) for high-throughput profiling of the hexaploid wheat genome.

Authors:  Mona Akbari; Peter Wenzl; Vanessa Caig; Jason Carling; Ling Xia; Shiying Yang; Grzegorz Uszynski; Volker Mohler; Anke Lehmensiek; Haydn Kuchel; Mathew J Hayden; Neil Howes; Peter Sharp; Peter Vaughan; Bill Rathmell; Eric Huttner; Andrzej Kilian
Journal:  Theor Appl Genet       Date:  2006-10-11       Impact factor: 5.699

5.  Distribution of DArT, AFLP, and SSR markers in a genetic linkage map of a doubled-haploid hexaploid wheat population.

Authors:  Kassa Semagn; Asmund Bjørnstad; Helge Skinnes; Anne Guri Marøy; Yalew Tarkegne; Manilal William
Journal:  Genome       Date:  2006-05       Impact factor: 2.166

6.  Heredity, physiology and mapping of a chlorophyll content gene of rice (Oryza sativa L.).

Authors:  Fenghua Wang; Guixue Wang; Xianyong Li; Junli Huang; Jiakui Zheng
Journal:  J Plant Physiol       Date:  2007-02-15       Impact factor: 3.549

7.  QTL analysis for grain protein content using SSR markers and validation studies using NILs in bread wheat.

Authors:  M Prasad; N Kumar; P L Kulwal; M S Röder; H S Balyan; H S Dhaliwal; P K Gupta
Journal:  Theor Appl Genet       Date:  2002-10-19       Impact factor: 5.699

8.  Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.

Authors:  José Crossa; Juan Burgueño; Susanne Dreisigacker; Mateo Vargas; Sybil A Herrera-Foessel; Morten Lillemo; Ravi P Singh; Richard Trethowan; Marilyn Warburton; Jorge Franco; Matthew Reynolds; Jonathan H Crouch; Rodomiro Ortiz
Journal:  Genetics       Date:  2007-10-18       Impact factor: 4.562

9.  Analysis of xanthophyll cycle carotenoids and chlorophyll fluorescence in light intensity-dependent chlorophyll-deficient mutants of wheat and barley.

Authors:  T G Falbel; L A Staehelin; W W Adams
Journal:  Photosynth Res       Date:  1994-12       Impact factor: 3.573

10.  New fluorescence parameters for monitoring photosynthesis in plants.

Authors:  Lesleigh Force; Christa Critchley; Jack J S van Rensen
Journal:  Photosynth Res       Date:  2003       Impact factor: 3.429

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  19 in total

1.  QTLs for cell wall-bound phenolics in relation to the photosynthetic apparatus activity and leaf water status under drought stress at different growth stages of triticale.

Authors:  Tomasz Hura; Mirosław Tyrka; Katarzyna Hura; Agnieszka Ostrowska; Kinga Dziurka
Journal:  Mol Genet Genomics       Date:  2016-12-27       Impact factor: 3.291

2.  Regions of the bread wheat D genome associated with variation in key photosynthesis traits and shoot biomass under both well watered and water deficient conditions.

Authors:  Svetlana Osipova; Alexey Permyakov; Marina Permyakova; Tatyana Pshenichnikova; Vasiliy Verkhoturov; Alexandr Rudikovsky; Elena Rudikovskaya; Alexandr Shishparenok; Alexey Doroshkov; Andreas Börner
Journal:  J Appl Genet       Date:  2015-09-15       Impact factor: 3.240

Review 3.  Frequently asked questions about chlorophyll fluorescence, the sequel.

Authors:  Hazem M Kalaji; Gert Schansker; Marian Brestic; Filippo Bussotti; Angeles Calatayud; Lorenzo Ferroni; Vasilij Goltsev; Lucia Guidi; Anjana Jajoo; Pengmin Li; Pasquale Losciale; Vinod K Mishra; Amarendra N Misra; Sergio G Nebauer; Simonetta Pancaldi; Consuelo Penella; Martina Pollastrini; Kancherla Suresh; Eduardo Tambussi; Marcos Yanniccari; Marek Zivcak; Magdalena D Cetner; Izabela A Samborska; Alexandrina Stirbet; Katarina Olsovska; Kristyna Kunderlikova; Henry Shelonzek; Szymon Rusinowski; Wojciech Bąba
Journal:  Photosynth Res       Date:  2016-11-04       Impact factor: 3.573

4.  Copy Number Variation of Cytokinin Oxidase Gene Tackx4 Associated with Grain Weight and Chlorophyll Content of Flag Leaf in Common Wheat.

Authors:  Cheng Chang; Jie Lu; Hai-Ping Zhang; Chuan-Xi Ma; Genlou Sun
Journal:  PLoS One       Date:  2015-12-29       Impact factor: 3.240

5.  Identification of Quantitative Trait Loci and Water Environmental Interactions for Developmental Behaviors of Leaf Greenness in Wheat.

Authors:  Delong Yang; Mengfei Li; Yuan Liu; Lei Chang; Hongbo Cheng; Jingjing Chen; Shouxi Chai
Journal:  Front Plant Sci       Date:  2016-03-08       Impact factor: 5.753

6.  Populations of doubled haploids for genetic mapping in hexaploid winter triticale.

Authors:  M Tyrka; S Oleszczuk; J Rabiza-Swider; H Wos; M Wedzony; J Zimny; A Ponitka; A Ślusarkiewicz-Jarzina; R J Metzger; P S Baenziger; A J Lukaszewski
Journal:  Mol Breed       Date:  2018-03-30       Impact factor: 2.589

7.  Identification of genomic loci associated with 21chlorophyll fluorescence phenotypes by genome-wide association analysis in soybean.

Authors:  Matthew Herritt; Arun Prabhu Dhanapal; Larry C Purcell; Felix B Fritschi
Journal:  BMC Plant Biol       Date:  2018-11-29       Impact factor: 4.215

8.  Association Mapping of Total Carotenoids in Diverse Soybean Genotypes Based on Leaf Extracts and High-Throughput Canopy Spectral Reflectance Measurements.

Authors:  Arun Prabhu Dhanapal; Jeffery D Ray; Shardendu K Singh; Valerio Hoyos-Villegas; James R Smith; Larry C Purcell; C Andy King; Felix B Fritschi
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

9.  Haplotype hitchhiking promotes trait coselection in Brassica napus.

Authors:  Lunwen Qian; Wei Qian; Rod J Snowdon
Journal:  Plant Biotechnol J       Date:  2016-01-23       Impact factor: 9.803

10.  Genetic analysis of water loss of excised leaves associated with drought tolerance in wheat.

Authors:  Ilona Mieczysława Czyczyło-Mysza; Izabela Marcińska; Edyta Skrzypek; Jan Bocianowski; Kinga Dziurka; Dragana Rančić; Radenko Radošević; Sofija Pekić-Quarrie; Dejan Dodig; Stephen Alexander Quarrie
Journal:  PeerJ       Date:  2018-07-06       Impact factor: 2.984

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