Evidence map›Paper›PMID 29678154›Full record

ArticleBMC genomics2018

Genomic regions responsible for seminal and crown root lengths identified by 2D & 3D root system image analysis.

Yusaku Uga, Ithipong Assaranurak, Yuka Kitomi, Brandon G Larson, Eric J Craft, Jon E Shaff, Susan R McCouch, Leon V Kochian

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yusaku UgaInstitute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki, 305-8518, Japan.
Ithipong AssaranurakDepartment of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA.
Yuka KitomiInstitute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki, 305-8518, Japan.
Brandon G LarsonRobert W. Holley Center for Agriculture and Health, USDA-ARS, Cornell University, Ithaca, NY, 14853, USA.
Eric J CraftRobert W. Holley Center for Agriculture and Health, USDA-ARS, Cornell University, Ithaca, NY, 14853, USA.
Jon E ShaffRobert W. Holley Center for Agriculture and Health, USDA-ARS, Cornell University, Ithaca, NY, 14853, USA.
Susan R McCouchDepartment of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14853, USA. srm4@cornell.edu.
Leon V KochianGlobal Institute for Food Security, University of Saskatchewan, Saskatoon, Canada. leon.kochian@usask.ca.ORCID http://orcid.org/0000-0003-3416-089X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic improvement of root system architecture is a promising approach for improved uptake of water and mineral nutrients distributed unevenly in the soil. To identify genomic regions associated with the length of different root types in rice, we quantified root system architecture in a set of 26 chromosome segment substitution lines derived from a cross between lowland indica rice, IR64, and upland tropical japonica rice, Kinandang Patong, (IK-CSSLs), using 2D & 3D root phenotyping platforms.

resultsLengths of seminal and crown roots in the IK-CSSLs grown under hydroponic conditions were measured by 2D image analysis (RootReader2D). Twelve CSSLs showed significantly longer seminal root length than the recurrent parent IR64. Of these, 8 CSSLs also exhibited longer total length of the three longest crown roots compared to IR64. Three-dimensional image analysis (RootReader3D) for these CSSLs grown in gellan gum revealed that only one CSSL, SL1003, showed significantly longer total root length than IR64. To characterize the root morphology of SL1003 under soil conditions, SL1003 was grown in Turface, a soil-like growth media, and roots were quantified using RootReader3D. SL1003 had larger total root length and increased total crown root length than did IR64, although its seminal root length was similar to that of IR64. The larger TRL in SL1003 may be due to increased crown root length.

conclusionsSL1003 carries an introgression from Kinandang Patong on the long arm of chromosome 1 in the genetic background of IR64. We conclude that this region harbors a QTL controlling crown root elongation.

Indexed as

GenomicsImaging, Three-DimensionalGenome, PlantOryzaPhenotypePlant RootsQuantitative Trait LociChromosome segment substitution line (CSSL)Image processingOryza sativaQTLRoot phenotypingRoot system architecture

Identifiers

PMID29678154
PMCPMC5910583

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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.