Literature DB >> 20183920

Mapping quantitative trait loci associated with chlorophyll a fluorescence parameters in soybean (Glycine max (L.) Merr.).

Zhitong Yin1, Fanfan Meng, Haina Song, Xiaohong He, Xiaoming Xu, Deyue Yu.   

Abstract

Chlorophyll a fluorescence parameters can provide qualitative and quantitative information about photosynthetic processes in chloroplasts. JIP-test and modulated fluorescence (MF) parameters are commonly used chlorophyll a fluorescence parameters. This study was conducted to identify quantitative trait loci (QTLs) associated with JIP-test parameters, MF parameters, and photosynthetic rate (P(N)), and to examine the relationships among them in soybean (Glycine max (L.) Merr.). Pot and field experiments were performed to evaluate 184 recombinant inbred lines (RILs) for five JIP-test parameters (ABS/RC, TR(O)/ABS, ET(O)/TR(O), RE(O)/ET(O), and PI(ABS)), four MF parameters (Fv/Fm, Fv'/Fm', PhiPSII, and qP), and P(N).Significant correlations were commonly observed among JIP-test parameters, MF parameters, and P(N). QTL mapping analysis identified 13, 9, and 4 QTLs for JIP-test parameters, MF parameters, and P(N), respectively, of which 13 were stable. Four major genomic regions were detected: LG A2 (19.81 cM) for JIP-test parameters, LG C1 (94.31 and 97.61 cM) for P(N) and MF parameters, LG M (100.51 cM) for JIP-test and MF parameters, and LG O (30.61-49.91 cM) for P(N), JIP-test, and MF parameters. These results indicate that chlorophyll fluorescence parameters, especially PHIPSII and qP, could play an important role in regulating P(N), and that JIP-test and MF parameters could be controlled by the same or different genes. The QTLs identified in this study will help in the understanding of the genetic basis of photosynthetic processes in plants. They will also contribute to the development of marker-assisted selection breeding programs for photosynthetic capacity in soybean.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20183920     DOI: 10.1007/s00425-009-1094-0

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


  18 in total

Review 1.  Chlorophyll fluorescence--a practical guide.

Authors:  K Maxwell; G N Johnson
Journal:  J Exp Bot       Date:  2000-04       Impact factor: 6.992

2.  A new integrated genetic linkage map of the soybean.

Authors:  Q J Song; L F Marek; R C Shoemaker; K G Lark; V C Concibido; X Delannay; J E Specht; P B Cregan
Journal:  Theor Appl Genet       Date:  2004-02-27       Impact factor: 5.699

3.  Multiple trait analysis of genetic mapping for quantitative trait loci.

Authors:  C Jiang; Z B Zeng
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

4.  Continuous recording of photochemical and non-photochemical chlorophyll fluorescence quenching with a new type of modulation fluorometer.

Authors:  U Schreiber; U Schliwa; W Bilger
Journal:  Photosynth Res       Date:  1986-01       Impact factor: 3.573

5.  Energy-dependent quenching of dark-level chlorophyll fluorescence in intact leaves.

Authors:  W Bilger; U Schreiber
Journal:  Photosynth Res       Date:  1986-01       Impact factor: 3.573

Review 6.  QTL analysis to study the association between leaf size and abscisic acid accumulation in droughted rice leaves and comparisons across cereals.

Authors:  S A Quarrie; D A Laurie; J Zhu; C Lebreton; A Semikhodskii; A Steed; H Witsenboer; C Calestani
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

7.  Identification of causal relationships among traits related to drought resistance in Stylosanthes scabra using QTL analysis.

Authors:  B R Thumma; B P Naidu; A Chandra; D F Cameron; L M Bahnisch; C Liu
Journal:  J Exp Bot       Date:  2001-02       Impact factor: 6.992

8.  Identification of quantitative trait loci for cold-tolerance of photosynthesis in maize (Zea mays L.).

Authors:  Y Fracheboud; J-M Ribaut; M Vargas; R Messmer; P Stamp
Journal:  J Exp Bot       Date:  2002-09       Impact factor: 6.992

Review 9.  Applications of chlorophyll fluorescence can improve crop production strategies: an examination of future possibilities.

Authors:  Neil R Baker; Eva Rosenqvist
Journal:  J Exp Bot       Date:  2004-07-16       Impact factor: 6.992

Review 10.  Chlorophyll fluorescence: a probe of photosynthesis in vivo.

Authors:  Neil R Baker
Journal:  Annu Rev Plant Biol       Date:  2008       Impact factor: 26.379

View more
  12 in total

1.  GmFtsH9 expression correlates with in vivo photosystem II function: chlorophyll a fluorescence transient analysis and eQTL mapping in soybean.

Authors:  Zhitong Yin; Fanfan Meng; Haina Song; Xiaolin Wang; Maoni Chao; Guozheng Zhang; Xiaoming Xu; Dexiang Deng; Deyue Yu
Journal:  Planta       Date:  2011-06-03       Impact factor: 4.116

2.  Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress.

Authors:  Dan Zhang; Hengyou Zhang; Shanshan Chu; Hongyan Li; Yingjun Chi; Daniella Triebwasser-Freese; Haiyan Lv; Deyue Yu
Journal:  Plant Mol Biol       Date:  2016-11-04       Impact factor: 4.076

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.  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.

Authors:  I Czyczyło-Mysza; M Tyrka; I Marcińska; E Skrzypek; M Karbarz; M Dziurka; T Hura; K Dziurka; S A Quarrie
Journal:  Mol Breed       Date:  2013-04-10       Impact factor: 2.589

5.  Natural variation in the fast phase of chlorophyll a fluorescence induction curve (OJIP) in a global rice minicore panel.

Authors:  Naveed Khan; Jemaa Essemine; Saber Hamdani; Mingnan Qu; Ming-Ju Amy Lyu; Shahnaz Perveen; Alexandrina Stirbet; Govindjee Govindjee; Xin-Guang Zhu
Journal:  Photosynth Res       Date:  2020-11-07       Impact factor: 3.573

6.  Variation in Rubisco activase (RCAβ) gene promoters and expression in soybean [Glycine max (L.) Merr].

Authors:  Maoni Chao; Zhitong Yin; Derong Hao; Jinyu Zhang; Haina Song; Ailing Ning; Xiaoming Xu; Deyue Yu
Journal:  J Exp Bot       Date:  2013-10-29       Impact factor: 6.992

7.  Physiological and Proteomics Analyses Reveal Low-Phosphorus Stress Affected the Regulation of Photosynthesis in Soybean.

Authors:  Shanshan Chu; Hongyan Li; Xiangqian Zhang; Kaiye Yu; Maoni Chao; Suoyi Han; Dan Zhang
Journal:  Int J Mol Sci       Date:  2018-06-06       Impact factor: 5.923

8.  Genetic control of functional traits related to photosynthesis and water use efficiency in Pinus pinaster Ait. drought response: integration of genome annotation, allele association and QTL detection for candidate gene identification.

Authors:  Marina de Miguel; José-Antonio Cabezas; Nuria de María; David Sánchez-Gómez; María-Ángeles Guevara; María-Dolores Vélez; Enrique Sáez-Laguna; Luis-Manuel Díaz; Jose-Antonio Mancha; María-Carmen Barbero; Carmen Collada; Carmen Díaz-Sala; Ismael Aranda; María-Teresa Cervera
Journal:  BMC Genomics       Date:  2014-06-12       Impact factor: 3.969

9.  A Genetic Relationship between Phosphorus Efficiency and Photosynthetic Traits in Soybean As Revealed by QTL Analysis Using a High-Density Genetic Map.

Authors:  Hongyan Li; Yuming Yang; Hengyou Zhang; Shanshan Chu; Xingguo Zhang; Dongmei Yin; Deyue Yu; Dan Zhang
Journal:  Front Plant Sci       Date:  2016-06-28       Impact factor: 5.753

10.  Genetic Mapping of the Leaf Number above the Primary Ear and Its Relationship with Plant Height and Flowering Time in Maize.

Authors:  Min Cui; Bo Jia; Huanhuan Liu; Xin Kan; Yu Zhang; Ronghua Zhou; Zhipeng Li; Liang Yang; Dexiang Deng; Zhitong Yin
Journal:  Front Plant Sci       Date:  2017-08-18       Impact factor: 5.753

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.