Evidence map›Paper›PMID 29915249›Full record

ArticleScientific reports2018

Global analysis of threonine metabolism genes unravel key players in rice to improve the abiotic stress tolerance.

Pandiyan Muthuramalingam, Subramanian Radhesh Krishnan, Subramani Pandian, Narayanan Mareeswaran, Wilson Aruni, Shunmugiah Karutha Pandian, Manikandan Ramesh

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Article
  2. Article
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  5. Integrating physiological and multi-omics methods to elucidate heat stress tolerance for sustainable rice production.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Physiological and Metabolic Responses of Gac Leaf (Plants (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
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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.

Pandiyan MuthuramalingamDepartment of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India.
Subramanian Radhesh KrishnanDepartment of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India.
Subramani PandianDepartment of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India.
Narayanan MareeswaranDepartment of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India.
Wilson AruniDivision of Microbiology, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA.
Shunmugiah Karutha PandianDepartment of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India.
Manikandan RameshDepartment of Biotechnology, Science Campus, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India. mrbiotech.alu@gmail.com.ORCID 0000-0002-7969-4935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diversity in plant metabolites with improved phytonutrients is essential to achieve global food security and sustainable crop yield. Our study using computational metabolomics genome wide association study (cmGWAS) reports on a comprehensive profiling of threonine (Thr) metabolite in rice. Sixteen abiotic stress responsive (AbSR) - Thr metabolite producing genes (ThrMPG), modulate metabolite levels and play a significant role determining both physiological and nutritional importance of rice. These AbSR-ThrMPG were computationally analysed for their protein properties using OryzaCyc through plant metabolic network analyser. A total of 1373 and 1028 SNPs were involved in complex traits and genomic variations. Comparative mapping of AbSR-ThrMPG revealed the chromosomal colinearity with C4 grass species. Further, computational expression pattern of these genes predicted a differential expression profiling in diverse developmental tissues. Protein interaction of protein coding gene sequences revealed that the abiotic stresses (AbS) are multigenic in nature. In silico expression of AbSR-ThrMPG determined the putative involvement in response to individual AbS. This is the first comprehensive genome wide study reporting on AbSR -ThrMPG analysis in rice. The results of this study provide a pivotal resource for further functional investigation of these key genes in the vital areas of manipulating AbS signaling in rice improvement.

Indexed as

Adaptation, PhysiologicalGene Expression Regulation, PlantGenes, PlantStress, PhysiologicalBiosynthetic PathwaysComputer SimulationConserved SequenceGene Expression ProfilingGene Regulatory NetworksMolecular Sequence AnnotationNucleotide MotifsOryzaPhylogenyPolymorphism, Single NucleotideThreonineTime FactorsThreonine

Identifiers

PMID29915249
PMCPMC6006157

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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.