Literature DB >> 31521222

Meta-analysis of grain iron and zinc associated QTLs identified hotspot chromosomal regions and positional candidate genes for breeding biofortified rice.

Qasim Raza1, Awais Riaz2, Muhammad Sabar2, Rana Muhammad Atif3, Khurram Bashir4.   

Abstract

Biofortification of staple crops with essential micronutrients is the sustainable way to overcome the hidden hunger. A large number of quantitative trait loci (QTL) linked with grain micronutrient contents have been reported in different mapping studies. Identification of consistent QTLs across diverse genetic backgrounds is useful for candidate gene analysis and marker assisted selection of target traits. In this study, an up to date meta-analysis of grain iron and zinc associated QTLs was performed and 48 meta-QTLs (MQTLs) distributed across 12 rice chromosomes were identified. The 95% confidence intervals of identified genomic regions were significantly narrower than the average of their corresponding original QTLs. A total of 9308 genes/transcripts physically located within or near MQTL regions were retrieved and through prioritization of candidate genes (CGs) 663 non-redundant iron and zinc CGs were selected and studied in detailed. Several functionally characterized iron and zinc homoeostasis related genes e.g OsATM3, OsDMAS1, OsFRO2, OsNAS1-3, OsVIT2, OsYSL16, OsZIP3 and OsZIP7 were also included in our MQTL analysis. More than 64% genes were enriched with zinc and iron binding gene ontology terms and were involved in oxidation reduction process, carbohydrate metabolic process, regulation of transcription, trans-membrane transport, response to oxidative stress, cell redox homeostasis and proteolysis etc. In-silico transcriptomic analysis of rice identified 260 CGs which were regulated in response to iron and zinc stresses. We also identified at least 37 genes which were differentially expressed under both stress conditions and majority of these have not been studied in detailed before. Our results strongly indicate that majority of the MQTLs identified in this study are hotspots for grain iron and zinc concentration and are worth of intensive functional studies in near future.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biofortification; Grain Fe & Zn; Meta-analysis; Micronutrient malnutrition; Oryza sativa; QTL mapping

Mesh:

Substances:

Year:  2019        PMID: 31521222     DOI: 10.1016/j.plantsci.2019.110214

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  8 in total

1.  Meta-QTLs, ortho-MetaQTLs and candidate genes for grain Fe and Zn contents in wheat (Triticum aestivum L.).

Authors:  Rakhi Singh; Gautam Saripalli; Tinku Gautam; Anuj Kumar; Irfat Jan; Ritu Batra; Jitendra Kumar; Rahul Kumar; Harindra Singh Balyan; Shailendra Sharma; Pushpendra Kumar Gupta
Journal:  Physiol Mol Biol Plants       Date:  2022-03-25

Review 2.  Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.

Authors:  Tinashe Zenda; Songtao Liu; Anyi Dong; Jiao Li; Yafei Wang; Xinyue Liu; Nan Wang; Huijun Duan
Journal:  Front Plant Sci       Date:  2021-12-01       Impact factor: 5.753

3.  Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.

Authors:  Yang Yang; Aduragbemi Amo; Di Wei; Yongmao Chai; Jie Zheng; Pengfang Qiao; Chunge Cui; Shan Lu; Liang Chen; Yin-Gang Hu
Journal:  Theor Appl Genet       Date:  2021-06-17       Impact factor: 5.699

Review 4.  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

5.  Genome-wide analysis of sulfur-encoding biosynthetic genes in rice (Oryza sativa L.) with Arabidopsis as the sulfur-dependent model plant.

Authors:  Muhammad-Redha Abdullah-Zawawi; Nisha Govender; Nor Azlan Nor Muhammad; Norfarhan Mohd-Assaad; Zamri Zainal; Zeti-Azura Mohamed-Hussein
Journal:  Sci Rep       Date:  2022-08-15       Impact factor: 4.996

6.  Rice Biofortification With Zinc and Selenium: A Transcriptomic Approach to Understand Mineral Accumulation in Flag Leaves.

Authors:  Faustino Adriano Roda; Isabel Marques; Paula Batista-Santos; Maria Glória Esquível; Alexis Ndayiragije; Fernando Cebola Lidon; B P Mallikarjuna Swamy; José Cochicho Ramalho; Ana I Ribeiro-Barros
Journal:  Front Genet       Date:  2020-07-07       Impact factor: 4.599

Review 7.  Transcriptomics View over the Germination Landscape in Biofortified Rice.

Authors:  Conrado Jr Dueñas; Inez Slamet-Loedin; Anca Macovei
Journal:  Genes (Basel)       Date:  2021-12-18       Impact factor: 4.096

8.  Genomic analysis of ionome-related QTLs in Arabidopsis thaliana.

Authors:  Nikwan Shariatipour; Bahram Heidari; Samathmika Ravi; Piergiorgio Stevanato
Journal:  Sci Rep       Date:  2021-09-28       Impact factor: 4.379

  8 in total

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