Evidence map›Paper›PMID 40275129›Full record

ArticleBMC plant biology2025

Identification and evaluation of low-pH-tolerant Cheongcheong/Nagdong-double haploid rice lines via QTL analysis.

Rahmatullah Jan, Nari Kim, Saleem Asif, Sajjad Asaf, Lubna, Muhammad Farooq, Zakirullah Khan, Kyung-Min Kim

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

8 authors.

Rahmatullah JanCoastal Agriculture Research Institute, Kyungpook National University, Daegu, 41566, South Korea.
Nari KimDepartment of Applied Biosciences, Graduate School, Kyungpook National University, Daegu, 41566, South Korea.
Saleem AsifDepartment of Applied Biosciences, Graduate School, Kyungpook National University, Daegu, 41566, South Korea.
Sajjad AsafNatural and Medical Science Research Center, University of Nizwa, Nizwa, Oman. sajadasif2000@gmail.com.
LubnaCoastal Agriculture Research Institute, Kyungpook National University, Daegu, 41566, South Korea.
Muhammad FarooqDepartment of Agriculture Biology, College of Agriculture and Life Sciences, Jeonbuk National University, Jeonju, Korea.
Zakirullah KhanDepartment of Applied Biosciences, Graduate School, Kyungpook National University, Daegu, 41566, South Korea.
Kyung-Min KimCoastal Agriculture Research Institute, Kyungpook National University, Daegu, 41566, South Korea. kkm@knu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low soil pH (acidic soil) is one of the most severe environmental constraints that severely inhibits crop production. Here, we screened 134 lines of the Cheongcheong/Nagdong Double Haploid (CNDH) rice population under low pH conditions to uncover candidate QTLs and identify low pH-resistant lines. A total of 17 QTLs against shoot length, root length and standard evaluation score in response to low pH were identified on 8 chromosomes (1, 2, 6, 7, 8, 9, 10, and 12). A QTL related to shoot length, qSL-6b, on chromosome 6 with an LOD of 5 and a QTL related to the standard evaluation score, qSES-9, on chromosome 6 with an LOD of 3 were further investigated for candidate genes. A total of 24 genes were predicted, i.e., 17 genes on qSL-6b and 7 genes on qSES-9 on the basis of closely related functional annotations via the NCBI and RiceXPro databases. Through qRT‒PCR of the resistant and susceptible lines, we identified four genes (Os06g0211200, Os09g0448200, Os09g0456200, and Os09g0472100) that were significantly expressed in the resistant lines but expressed at lower levels in the susceptible lines under low-pH soil stress. During early germination, ABA levels decreased in all the resistant lines but increased in all the susceptible lines. However, the ABA level at the seedling stage significantly increased in the resistant lines but decreased in all the susceptible lines. Our results suggest that the genes responsible for K

Indexed as

OryzaQuantitative Trait LociChromosome MappingChromosomes, PlantGenes, PlantHaploidyHydrogen-Ion ConcentrationSoilSoilABA regulationCandidate genesK+ ion homeostasisLow soil pH (acidic soil)QTLsStandard evaluation score

Identifiers

PMID40275129
PMCPMC12023450

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.