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ArticleFunctional & integrative genomics2024

Genome-wide association study reveals effect of nsSNPs on candidate genes in rice during iron deficiency.

Siddharth Panda, Annamalai Anandan, K Mohamed Shafi, Mahantesha B N Naika, R Sowdhamini, G Vanishree, Sutapa Sarkar, Anthony J Travis, Gareth J Norton, Adam H Price

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Article in Functional & integrative genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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5 citing papers in PubMed.

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  2. Plants (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Siddharth PandaCrop Improvement Division, Indian Council of Agricultural Research (ICAR)-National Rice Research Institute (NRRI), Cuttack, India.
Annamalai AnandanCrop Improvement Division, Indian Council of Agricultural Research (ICAR)-National Rice Research Institute (NRRI), Cuttack, India. anandanau@yahoo.com.ORCID http://orcid.org/0000-0002-0560-970X
K Mohamed ShafiNational Centre for Biological Sciences (TIFR), Bengaluru, India.
Mahantesha B N NaikaDepartment of Biotechnology and Crop Improvement, KRCCH, Arabhavi, University of Horticultural Sciences, Bagalkot, Karnataka, India.
R SowdhaminiNational Centre for Biological Sciences (TIFR), Bengaluru, India.
G VanishreeICAR-Indian Institute of Seed Science, Regional Station, Bengaluru, India.
Sutapa SarkarCrop Improvement Division, Indian Council of Agricultural Research (ICAR)-National Rice Research Institute (NRRI), Cuttack, India.
Anthony J TravisSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Gareth J NortonSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Adam H PriceSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR12265/AG111/103/888/2014
6 · The paper itself

Abstract

Resource-poor areas with moisture deficit lands following aerobic and direct seeded rice (DSR) methods of cultivation face severe problems of iron deficiency. In this study, Bengal and Assam Aus rice panel was phenotyped at the seedling stage using an iron-deprived hydroponic medium for various shoot and root traits. A novel iron deficiency scoring scale was used to classify the tolerance reaction and could range anywhere between 0 and 9, indicating the most tolerant and susceptible, respectively. The GWAS results identified four putative candidate genes; OsFLA for number of leaves and shoot length, OsBIDK1 for root traits; average diameter, volume, biomass, projected area, and surface area, OsHPL3 for chlorophyll index of the third leaf and AKR2B (XBOS252) was for Fe score, (which was earlier reported in relation to Xa21). The nsSNP (nsSNPs) variations in these gene sequences were used to group the panel and identify superior haplotypes and donors. BR16 was identified as a superior donor, with higher chlorophyll index and shoot length than RA23, also higher values for root traits like root average diameter, root volume, root projected area and root surface area followed by Shete Bhado. The impact of identified nsSNPs on protein structure and stability was investigated. The conserved domains detected in the mutated proteins of the superior haplotypes are very informative, highlighting that natural selection favors abiotic stress tolerant variants in resource poor areas. Thus, justifying our choice of Aus landraces for association mapping of Fe deficiency tolerant genes in rice.

Indexed as

Genome-Wide Association StudyIron DeficienciesOryzaPolymorphism, Single NucleotideChlorophyllPlant ProteinsPlant RootsChlorophyllPlant ProteinsAus riceDirect-seeded riceFe scoreGWASHaplotypeIron deficiencynsSNPsProtein model

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.