Evidence map›Paper›PMID 38731906›Full record

ArticleInternational journal of molecular sciences2024

Identification of Quantitative Trait Loci Controlling Root Morphological Traits in an Interspecific Soybean Population Using 2D Imagery Data.

Mohammad Shafiqul Islam, Amit Ghimire, Liny Lay, Waleed Khan, Jeong-Dong Lee, Qijian Song, Hyun Jo, Yoonha Kim

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Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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

4 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.

Mohammad Shafiqul IslamDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Amit GhimireDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0002-8855-1792
Liny LayDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Waleed KhanDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Jeong-Dong LeeDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0002-2741-4049
Qijian SongSoybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA.
Hyun JoDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0003-3474-0384
Yoonha KimDepartment of Applied Biosciences, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0003-0058-9161

Funding

National Research Foundation of Korea 2021R1I1A3040280
6 · The paper itself

Abstract

Roots are the hidden and most important part of plants. They serve as stabilizers and channels for uptaking water and nutrients and play a crucial role in the growth and development of plants. Here, two-dimensional image data were used to identify quantitative trait loci (QTL) controlling root traits in an interspecific mapping population derived from a cross between wild soybean 'PI366121' and cultivar 'Williams 82'. A total of 2830 single-nucleotide polymorphisms were used for genotyping, constructing genetic linkage maps, and analyzing QTLs. Forty-two QTLs were identified on twelve chromosomes, twelve of which were identified as major QTLs, with a phenotypic variation range of 36.12% to 39.11% and a logarithm of odds value range of 12.01 to 17.35. Two significant QTL regions for the average diameter, root volume, and link average diameter root traits were detected on chromosomes 3 and 13, and both wild and cultivated soybeans contributed positive alleles. Six candidate genes,

Indexed as

Chromosome MappingGlycine maxPlant RootsPolymorphism, Single NucleotideQuantitative Trait LociChromosomes, PlantGenetic LinkageGenotypePhenotypeaverage diameter (AD)candidate geneslink average diameter (LAD)QTL mappingroot morphologyroot volume (RV)SNPsoybean

Identifiers

PMID38731906
PMCPMC11083680

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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.