Literature DB >> 32042046

Genetic Analysis of Agronomic Traits and Grain Iron and Zinc Concentrations in a Doubled Haploid Population of Rice (Oryza sativa L.).

Mark Ian C Calayugan1,2, Andrea Kariza Formantes1,2, Amery Amparado1, Gwen Iris Descalsota-Empleo1,2,3, Chau Thanh Nha1,4, Mary Ann Inabangan-Asilo1, Zin Mar Swe1,5, Jose E Hernandez2, Teresita H Borromeo2, Antonio G Lalusin2, Merlyn S Mendioro2, Ma Genaleen Q Diaz2, Celia B Dela Viña2, Russell Reinke1, B P Mallikarjuna Swamy6.   

Abstract

The development of micronutrient dense rice varieties with good agronomic traits is one of the sustainable and cost-effective approaches for reducing malnutrition. Identification of QTLs for high grain Fe and Zn, yield and yield components helps in precise and faster development of high Fe and Zn rice. We carried out a three-season evaluation using IR05F102 x IR69428 derived doubled-haploid population at IRRI. Inclusive composite interval mapping was carried out using SNP markers and Best Linear Unbiased Estimates of the phenotypic traits. A total of 23 QTLs were identified for eight agronomic traits and grain Fe and Zn concentration that explained 7.2 to 22.0% PV. A QTL by environment interaction analysis confirmed the stability of nine QTLs, including two QTLs for Zn on chromosomes 5 and 12. One epistatic interaction for plant height was significant with 28.4% PVE. Moreover, five QTLs were identified for Fe and Zn that harbor several candidate genes, e.g. OsZIP6 on QTL qZn5.1. A number of QTLs were associated with a combination of greater yield and increased grain Zn levels. These results are useful for development of new rice varieties with good agronomic traits and high grain Zn using MAS, and identification of genetic resources with the novel QTLs for grain Zn.

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Year:  2020        PMID: 32042046      PMCID: PMC7010768          DOI: 10.1038/s41598-020-59184-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  24 in total

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Authors:  Gurdev S Khush
Journal:  Plant Mol Biol       Date:  2005-09       Impact factor: 4.076

Review 2.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century.

Authors:  Bertrand C Y Collard; David J Mackill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-12       Impact factor: 6.237

3.  Closing Yield Gaps: How Sustainable Can We Be?

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Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

4.  Haplotype-based allele mining in the Japan-MAGIC rice population.

Authors:  Daisuke Ogawa; Eiji Yamamoto; Toshikazu Ohtani; Noriko Kanno; Hiroshi Tsunematsu; Yasunori Nonoue; Masahiro Yano; Toshio Yamamoto; Jun-Ichi Yonemaru
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

5.  Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice.

Authors:  B P Mallikarjuna Swamy; Gwen Iris L Descalsota; Chau Thanh Nha; Amery Amparado; Mary Ann Inabangan-Asilo; Christine Manito; Frances Tesoro; Russell Reinke
Journal:  PLoS One       Date:  2018-08-10       Impact factor: 3.240

6.  Detection of stable QTLs for grain protein content in rice (Oryza sativa L.) employing high throughput phenotyping and genotyping platforms.

Authors:  Krishnendu Chattopadhyay; Lambodar Behera; Torit Baran Bagchi; Sushree Sibanee Sardar; Nutan Moharana; Niraja Rani Patra; Mridul Chakraborti; Avijit Das; Bishnu Charan Marndi; Ananta Sarkar; Umakanta Ngangkham; Koushik Chakraborty; Lotan Kumar Bose; Sutapa Sarkar; Soham Ray; Srigopal Sharma
Journal:  Sci Rep       Date:  2019-03-01       Impact factor: 4.379

7.  Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain.

Authors:  Min Zhang; Shannon R M Pinson; Lee Tarpley; Xin-Yuan Huang; Brett Lahner; Elena Yakubova; Ivan Baxter; Mary Lou Guerinot; David E Salt
Journal:  Theor Appl Genet       Date:  2014-01       Impact factor: 5.699

8.  Detection of quantitative trait loci controlling grain zinc concentration using Australian wild rice, Oryza meridionalis, a potential genetic resource for biofortification of rice.

Authors:  Ryo Ishikawa; Masahide Iwata; Kenta Taniko; Gotaro Monden; Naoya Miyazaki; Chhourn Orn; Yuki Tsujimura; Shusaku Yoshida; Jian Feng Ma; Takashige Ishii
Journal:  PLoS One       Date:  2017-10-27       Impact factor: 3.240

9.  Large-scale deployment of a rice 6 K SNP array for genetics and breeding applications.

Authors:  Michael J Thomson; Namrata Singh; Maria S Dwiyanti; Diane R Wang; Mark H Wright; Francisco Agosto Perez; Genevieve DeClerck; Joong Hyoun Chin; Geraldine A Malitic-Layaoen; Venice Margarette Juanillas; Christine J Dilla-Ermita; Ramil Mauleon; Tobias Kretzschmar; Susan R McCouch
Journal:  Rice (N Y)       Date:  2017-08-30       Impact factor: 4.783

10.  Transporter genes identified in landraces associated with high zinc in polished rice through panicle transcriptome for biofortification.

Authors:  C N Neeraja; Kalyani S Kulkarni; P Madhu Babu; D Sanjeeva Rao; K Surekha; V Ravindra Babu
Journal:  PLoS One       Date:  2018-02-02       Impact factor: 3.240

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  12 in total

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Journal:  Front Plant Sci       Date:  2021-12-01       Impact factor: 5.753

2.  Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population.

Authors:  Swapnil Ravindra Kulkarni; S M Balachandran; R M Sundaram; K Ulaganathan; Divya Balakrishnan; A S Hari Prasad; G Rekha; M B V N Kousik; S K Hajira; Ravindra Ramarao Kale; D Aleena; M Anila; E Punniakoti; T Dilip; K Pranathi; M Ayyappa Das; Mastanbee Shaik; K Chaitra; Pragya Sinha
Journal:  3 Biotech       Date:  2021-11-29       Impact factor: 2.406

3.  Identification of genomic loci regulating grain iron content in aus rice under two irrigation management systems.

Authors:  Partha Talukdar; Anthony J Travis; Mahmud Hossain; Md Rafiqul Islam; Gareth J Norton; Adam H Price
Journal:  Food Energy Secur       Date:  2021-09-30       Impact factor: 4.667

4.  Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut.

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Review 5.  Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics.

Authors:  Jacob I Marsh; Haifei Hu; Mitchell Gill; Jacqueline Batley; David Edwards
Journal:  Theor Appl Genet       Date:  2021-04-14       Impact factor: 5.699

Review 6.  Genetic determinants of micronutrient traits in graminaceous crops to combat hidden hunger.

Authors:  P Sushree Shyamli; Sumi Rana; Sandhya Suranjika; Mehanathan Muthamilarasan; Ajay Parida; Manoj Prasad
Journal:  Theor Appl Genet       Date:  2021-06-06       Impact factor: 5.699

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

8.  Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.].

Authors:  Huan Wang; Jia Jia; Zhandong Cai; Mingming Duan; Ze Jiang; Qiuju Xia; Qibin Ma; Tengxiang Lian; Hai Nian
Journal:  BMC Genomics       Date:  2022-02-19       Impact factor: 3.969

9.  The acceptance of zinc biofortified rice in Latin America: A consumer sensory study and grain quality characterization.

Authors:  Bo-Jane Woods; Sonia Gallego-Castillo; Elise F Talsma; Daniel Álvarez
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

10.  Nutritional Properties of Larval Epidermis and Meat of the Edible Insect Clanis bilineata tsingtauica (Lepidoptera: Sphingidae).

Authors:  Ying Su; Ming-Xing Lu; Li-Quan Jing; Lei Qian; Ming Zhao; Yu-Zhou Du; Huai-Jian Liao
Journal:  Foods       Date:  2021-11-23
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