Evidence map›Paper›PMID 31332547›Full record

ArticleRice (New York, N.Y.)2019

Genetic loci regulating arsenic content in rice grains when grown flooded or under alternative wetting and drying irrigation.

Gareth J Norton, Anthony J Travis, Partha Talukdar, Mahmud Hossain, Md Rafiqul Islam, Alex Douglas, Adam H Price

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 39 citations in OpenAlex.

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  13. Genetic loci regulating cadmium content in rice grains.Euphytica: Netherlands journal of plant breeding · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Gareth J NortonSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, Scotland. g.norton@abdn.ac.uk.ORCID http://orcid.org/0000-0003-4560-170X
Anthony J TravisSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, Scotland.
Partha TalukdarSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, Scotland.
Mahmud HossainDepartment of Soil Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Rafiqul IslamDepartment of Soil Science, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Alex DouglasSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, Scotland.
Adam H PriceSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, Scotland. a.price@abdn.ac.uk.
University of Aberdeen · GBBangladesh Agricultural University · BD

Funding

Biotechnology and Biological Sciences Research Council BB/J003336/1Biotechnology and Biological Sciences Research Council BB/N013492/1
6 · The paper itself

Abstract

backgroundRice is a global staple crop, being the main calorific component of many people living subsistence livelihoods. Rice can accumulate toxic elements such as arsenic, with the crop water management strongly affecting uptake. This study utilises the Bengal and Assam Aus Panel to conduct genome wide association (GWA) mapping for arsenic in shoots and grains of rice grown over 2 years under continually flooded (CF) and alternate wetting and drying (AWD). The aim was to assess genotype by water management interaction, identify quantitative trait loci (QTL) for arsenic accumulation, and propose candidate genes for lowering grain arsenic.

resultsAWD significantly reduced grain arsenic across all cultivars on average by 15.7 and 15.1% in year 1 and 2 respectively and shoot arsenic by 27.0% compared to the plants grown under CF. There was a weak cultivar by treatment interaction for grain for arsenic. All traits were strongly influenced by cultivar. GWA mapping identified a large number of 74 individual QTLs for arsenic, with six QTLs showing stability across years and/or water treatments. Three of the loci (one on chromosome 3, one on chromosome 4, and one on chromosome 5) were investigated in detail using an approach of clustering cultivars that had similar haplotypes for the QTL regions and then looking at the phenotypic values across the clusters. Two of the identified QTLs co-localised with known genes involved in arsenic accumulation, including Lsi2 which has not previously been reported to underlie a grain arsenic QTL.

conclusionsThis study has identified a number of novel QTLs for arsenic accumulation, as well as cultivars that consistently accumulate less arsenic over multiple field traits. The use of a haplotype clustering approach after GWA mapping has allowed for the effect, in terms of arsenic accumulation, to be determined for cultivars that share similar genomic sequence. Allocating nine high yielding Bangladeshi cultivars to these clusters has identified the potential of utilising these QTLs in breeding programmes; for example, incorporation of the QTL on chromosome 5 should decrease grain arsenic in elite high yielding Bangladeshi cultivars by 10% in all high yielding cultivars studied.

Indexed as

Alternate wetting and dryingArsenicGenome wide association geneticsRice

Identifiers

PMID31332547
PMCPMC6646650
OpenAlexW2963639557

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.