Literature DB >> 26058362

Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.).

Riliang Gu1, Fanjun Chen, Bingran Liu, Xin Wang, Jianchao Liu, Pengcheng Li, Qingchun Pan, Jordon Pace, Ayaz-Ali Soomro, Thomas Lübberstedt, Guohua Mi, Lixing Yuan.   

Abstract

KEY MESSAGE: Understanding the correlations of seven minerals for concentration, content and yield in maize grain, and exploring their genetic basis will help breeders to develop high grain quality maize. Biofortification by enhanced mineral accumulation in grain through genetic improvement is an efficient way to solve global nutrient malnutrition, in which one key step is to detect the underlying quantitative trait loci (QTL). Herein, a maize recombinant inbred population (RIL) was field grown to maturity across four environments (two locations × two years). Phenotypic data for grain mineral concentration, content and yield were determined for copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), magnesium (Mg), potassium (K) and phosphorus (P). Significant effects of genotype, location and year were observed for all investigated traits. The strongest location effects were found for Zn accumulation traits probably due to distinct soil Zn availabilities across locations. Heritability (H (2)) of different traits varied with higher H (2) (72-85 %) for mineral concentration and content, and lower (48-63 %) for mineral yield. Significant positive correlations for grain concentration were revealed between several minerals. QTL analysis revealed 28, 25, and 12 QTL for mineral concentration, content and yield, respectively; and identified 8 stable QTL across at least two environments. All these QTL were assigned into 12 distinct QTL clusters. A cluster at chromosome Bin 6.07/6.08 contained 6 QTL for kernel weight, mineral concentration (Mg) and content (Zn, K, Mg, P). Another cluster at Bin 4.05/4.06 contained a stable QTL for Mn concentration, which were previously identified in other maize and rice RIL populations. These results highlighted the phenotypic and genetic performance of grain mineral accumulation, and revealed two promising chromosomal regions for genetic improvement of grain biofortification in maize.

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Year:  2015        PMID: 26058362     DOI: 10.1007/s00122-015-2546-5

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  24 in total

1.  Quantitative trait loci for biofortification traits in maize grain.

Authors:  Domagoj Simić; Snezana Mladenović Drinić; Zvonimir Zdunić; Antun Jambrović; Tatjana Ledencan; Josip Brkić; Andrija Brkić; Ivan Brkić
Journal:  J Hered       Date:  2011-11-09       Impact factor: 2.645

Review 2.  The nature and identification of quantitative trait loci: a community's view.

Authors:  Oduola Abiola; Joe M Angel; Philip Avner; Alexander A Bachmanov; John K Belknap; Beth Bennett; Elizabeth P Blankenhorn; David A Blizard; Valerie Bolivar; Gundrun A Brockmann; Kari J Buck; Jean-Francoise Bureau; William L Casley; Elissa J Chesler; James M Cheverud; Gary A Churchill; Melloni Cook; John C Crabbe; Wim E Crusio; Ariel Darvasi; Gerald de Haan; Peter Dermant; R W Doerge; Rosemary W Elliot; Charles R Farber; Lorraine Flaherty; Jonathan Flint; Howard Gershenfeld; John P Gibson; Jing Gu; Weikuan Gu; Heinz Himmelbauer; Robert Hitzemann; Hui-Chen Hsu; Kent Hunter; Fuad F Iraqi; Ritsert C Jansen; Thomas E Johnson; Byron C Jones; Gerd Kempermann; Frank Lammert; Lu Lu; Kenneth F Manly; Douglas B Matthews; Juan F Medrano; Margarete Mehrabian; Guy Mittlemann; Beverly A Mock; Jeffrey S Mogil; Xavier Montagutelli; Grant Morahan; John D Mountz; Hiroki Nagase; Richard S Nowakowski; Bruce F O'Hara; Alexander V Osadchuk; Beverly Paigen; Abraham A Palmer; Jeremy L Peirce; Daniel Pomp; Michael Rosemann; Glenn D Rosen; Leonard C Schalkwyk; Ze'ev Seltzer; Stephen Settle; Kazuhiro Shimomura; Siming Shou; James M Sikela; Linda D Siracusa; Jimmy L Spearow; Cory Teuscher; David W Threadgill; Linda A Toth; Ayo A Toye; Csaba Vadasz; Gary Van Zant; Edward Wakeland; Robert W Williams; Huang-Ge Zhang; Fei Zou
Journal:  Nat Rev Genet       Date:  2003-11       Impact factor: 53.242

3.  Elemental profiles reflect plant adaptations to the environment.

Authors:  Ivan Baxter; Brian P Dilkes
Journal:  Science       Date:  2012-06-29       Impact factor: 47.728

4.  The B73 maize genome: complexity, diversity, and dynamics.

Authors:  Patrick S Schnable; Doreen Ware; Robert S Fulton; Joshua C Stein; Fusheng Wei; Shiran Pasternak; Chengzhi Liang; Jianwei Zhang; Lucinda Fulton; Tina A Graves; Patrick Minx; Amy Denise Reily; Laura Courtney; Scott S Kruchowski; Chad Tomlinson; Cindy Strong; Kim Delehaunty; Catrina Fronick; Bill Courtney; Susan M Rock; Eddie Belter; Feiyu Du; Kyung Kim; Rachel M Abbott; Marc Cotton; Andy Levy; Pamela Marchetto; Kerri Ochoa; Stephanie M Jackson; Barbara Gillam; Weizu Chen; Le Yan; Jamey Higginbotham; Marco Cardenas; Jason Waligorski; Elizabeth Applebaum; Lindsey Phelps; Jason Falcone; Krishna Kanchi; Thynn Thane; Adam Scimone; Nay Thane; Jessica Henke; Tom Wang; Jessica Ruppert; Neha Shah; Kelsi Rotter; Jennifer Hodges; Elizabeth Ingenthron; Matt Cordes; Sara Kohlberg; Jennifer Sgro; Brandon Delgado; Kelly Mead; Asif Chinwalla; Shawn Leonard; Kevin Crouse; Kristi Collura; Dave Kudrna; Jennifer Currie; Ruifeng He; Angelina Angelova; Shanmugam Rajasekar; Teri Mueller; Rene Lomeli; Gabriel Scara; Ara Ko; Krista Delaney; Marina Wissotski; Georgina Lopez; David Campos; Michele Braidotti; Elizabeth Ashley; Wolfgang Golser; HyeRan Kim; Seunghee Lee; Jinke Lin; Zeljko Dujmic; Woojin Kim; Jayson Talag; Andrea Zuccolo; Chuanzhu Fan; Aswathy Sebastian; Melissa Kramer; Lori Spiegel; Lidia Nascimento; Theresa Zutavern; Beth Miller; Claude Ambroise; Stephanie Muller; Will Spooner; Apurva Narechania; Liya Ren; Sharon Wei; Sunita Kumari; Ben Faga; Michael J Levy; Linda McMahan; Peter Van Buren; Matthew W Vaughn; Kai Ying; Cheng-Ting Yeh; Scott J Emrich; Yi Jia; Ananth Kalyanaraman; An-Ping Hsia; W Brad Barbazuk; Regina S Baucom; Thomas P Brutnell; Nicholas C Carpita; Cristian Chaparro; Jer-Ming Chia; Jean-Marc Deragon; James C Estill; Yan Fu; Jeffrey A Jeddeloh; Yujun Han; Hyeran Lee; Pinghua Li; Damon R Lisch; Sanzhen Liu; Zhijie Liu; Dawn Holligan Nagel; Maureen C McCann; Phillip SanMiguel; Alan M Myers; Dan Nettleton; John Nguyen; Bryan W Penning; Lalit Ponnala; Kevin L Schneider; David C Schwartz; Anupma Sharma; Carol Soderlund; Nathan M Springer; Qi Sun; Hao Wang; Michael Waterman; Richard Westerman; Thomas K Wolfgruber; Lixing Yang; Yeisoo Yu; Lifang Zhang; Shiguo Zhou; Qihui Zhu; Jeffrey L Bennetzen; R Kelly Dawe; Jiming Jiang; Ning Jiang; Gernot G Presting; Susan R Wessler; Srinivas Aluru; Robert A Martienssen; Sandra W Clifton; W Richard McCombie; Rod A Wing; Richard K Wilson
Journal:  Science       Date:  2009-11-20       Impact factor: 47.728

5.  Iron fortification of rice seed by the soybean ferritin gene.

Authors:  F Goto; T Yoshihara; N Shigemoto; S Toki; F Takaiwa
Journal:  Nat Biotechnol       Date:  1999-03       Impact factor: 54.908

Review 6.  Ionomics: studying the social network of mineral nutrients.

Authors:  Ivan Baxter
Journal:  Curr Opin Plant Biol       Date:  2009-05-28       Impact factor: 7.834

7.  Evidence of decreasing mineral density in wheat grain over the last 160 years.

Authors:  Ming-Sheng Fan; Fang-Jie Zhao; Susan J Fairweather-Tait; Paul R Poulton; Sarah J Dunham; Steve P McGrath
Journal:  J Trace Elem Med Biol       Date:  2008-09-17       Impact factor: 3.849

8.  Biodiversity of mineral nutrient and trace element accumulation in Arabidopsis thaliana.

Authors:  Ivan Baxter; Christian Hermans; Brett Lahner; Elena Yakubova; Marina Tikhonova; Nathalie Verbruggen; Dai-Yin Chao; David E Salt
Journal:  PLoS One       Date:  2012-04-27       Impact factor: 3.240

9.  Elemental concentrations in the seed of mutants and natural variants of Arabidopsis thaliana grown under varying soil conditions.

Authors:  Stephen C McDowell; Garo Akmakjian; Chris Sladek; David Mendoza-Cozatl; Joe B Morrissey; Nick Saini; Ron Mittler; Ivan Baxter; David E Salt; John M Ward; Julian I Schroeder; Mary Lou Guerinot; Jeffrey F Harper
Journal:  PLoS One       Date:  2013-05-06       Impact factor: 3.240

10.  Zinc, iron, manganese and copper uptake requirement in response to nitrogen supply and the increased grain yield of summer maize.

Authors:  Yanfang Xue; Shanchao Yue; Wei Zhang; Dunyi Liu; Zhenling Cui; Xinping Chen; Youliang Ye; Chunqin Zou
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

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  15 in total

1.  Genome-Wide Association Analysis Reveals the Genetic Basis of Iron-Deficiency Stress Tolerance in Maize.

Authors:  Jianqin Xu; Weiya Xu; Xulei Chen; Huaqing Zhu; Xiuyi Fu; Futong Yu
Journal:  Front Plant Sci       Date:  2022-06-02       Impact factor: 6.627

2.  Genetic mapping of ionomic quantitative trait loci in rice grain and straw reveals OsMOT1;1 as the putative causal gene for a molybdenum QTL qMo8.

Authors:  Chengcheng Wang; Zhong Tang; Jie-Yun Zhuang; Zhu Tang; Xin-Yuan Huang; Fang-Jie Zhao
Journal:  Mol Genet Genomics       Date:  2019-12-03       Impact factor: 3.291

3.  Genome-Wide Association Study of Calcium Accumulation in Grains of European Wheat Cultivars.

Authors:  Dalia Z Alomari; Kai Eggert; Nicolaus von Wirén; Klaus Pillen; Marion S Röder
Journal:  Front Plant Sci       Date:  2017-10-27       Impact factor: 5.753

4.  The impact of different agroecological conditions on the nutritional composition of quinoa seeds.

Authors:  María Reguera; Carlos Manuel Conesa; Alejandro Gil-Gómez; Claudia Mónika Haros; Miguel Ángel Pérez-Casas; Vilbett Briones-Labarca; Luis Bolaños; Ildefonso Bonilla; Rodrigo Álvarez; Katherine Pinto; Ángel Mujica; Luisa Bascuñán-Godoy
Journal:  PeerJ       Date:  2018-03-14       Impact factor: 2.984

5.  Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture.

Authors:  Duke Pauli; Greg Ziegler; Min Ren; Matthew A Jenks; Douglas J Hunsaker; Min Zhang; Ivan Baxter; Michael A Gore
Journal:  G3 (Bethesda)       Date:  2018-03-28       Impact factor: 3.154

6.  Genome-wide quantitative trait loci reveal the genetic basis of cotton fibre quality and yield-related traits in a Gossypium hirsutum recombinant inbred line population.

Authors:  Zhen Zhang; Junwen Li; Muhammad Jamshed; Yuzhen Shi; Aiying Liu; Juwu Gong; Shufang Wang; Jianhong Zhang; Fuding Sun; Fei Jia; Qun Ge; Liqiang Fan; Zhibin Zhang; Jingtao Pan; Senmiao Fan; Yanling Wang; Quanwei Lu; Ruixian Liu; Xiaoying Deng; Xianyan Zou; Xiao Jiang; Ping Liu; Pengtao Li; Muhammad Sajid Iqbal; Chuanyun Zhang; Juan Zou; Hong Chen; Qin Tian; Xinhe Jia; Baoqin Wang; Nijiang Ai; Guoli Feng; Yumei Wang; Mei Hong; Shilin Li; Wenming Lian; Bo Wu; Jinping Hua; Chaojun Zhang; Jinyong Huang; Aixia Xu; Haihong Shang; Wankui Gong; Youlu Yuan
Journal:  Plant Biotechnol J       Date:  2019-07-08       Impact factor: 9.803

Review 7.  Breeding and biotechnological interventions for trait improvement: status and prospects.

Authors:  Roshan Kumar Singh; Ashish Prasad; Mehanathan Muthamilarasan; Swarup K Parida; Manoj Prasad
Journal:  Planta       Date:  2020-09-18       Impact factor: 4.116

Review 8.  Enhancing the Nutritional Quality of Major Food Crops Through Conventional and Genomics-Assisted Breeding.

Authors:  Kiran B Gaikwad; Sushma Rani; Manjeet Kumar; Vikas Gupta; Prashanth H Babu; Naresh Kumar Bainsla; Rajbir Yadav
Journal:  Front Nutr       Date:  2020-11-26

Review 9.  Calcium Biofortification of Crops-Challenges and Projected Benefits.

Authors:  Marija Knez; James C R Stangoulis
Journal:  Front Plant Sci       Date:  2021-07-16       Impact factor: 5.753

10.  High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain.

Authors:  Di Wu; Ryokei Tanaka; Xiaowei Li; Guillaume P Ramstein; Suong Cu; John P Hamilton; C Robin Buell; James Stangoulis; Torbert Rocheford; Michael A Gore
Journal:  G3 (Bethesda)       Date:  2021-04-15       Impact factor: 3.154

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