Evidence map›Paper›PMID 39557700›Full record

ArticlePlanta2024

High-throughput root phenotyping and association analysis identified potential genomic regions for phosphorus use efficiency in wheat (Triticum aestivum L.).

Vijay Rajamanickam, Amitha Mithra Sevanthi, Stéphanie M Swarbreck, Santosh Gudi, Nisha Singh, Vikas Kumar Singh, Tally I C Wright, Alison R Bentley, Mehanathan Muthamilarasan, Adhip Das and 2 more

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Article in Planta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Vijay RajamanickamDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.ORCID http://orcid.org/0009-0004-4173-6863
Amitha Mithra SevanthiICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
Stéphanie M SwarbreckThe John Bingham Laboratory, NIAB, 93 Lawrence Weaver Rd, Cambridge, CB3 0LE, UK.ORCID http://orcid.org/0000-0001-8355-7354
Santosh GudiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.ORCID http://orcid.org/0000-0003-1885-8139
Nisha SinghGujarat Biotechnology University, Gandhinagar, Gujarat, 382355, India.
Vikas Kumar SinghDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250 004, India.
Tally I C WrightThe John Bingham Laboratory, NIAB, 93 Lawrence Weaver Rd, Cambridge, CB3 0LE, UK.ORCID http://orcid.org/0000-0003-2949-2742
Alison R BentleyResearch School of Biology, Australian National University, Canberra, 2600, Australia.ORCID http://orcid.org/0000-0001-5519-4357
Mehanathan MuthamilarasanDepartment of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India.
Adhip DasDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Viswanathan ChinnusamyDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Renu PandeyDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India. renu_pphy@iari.res.in.ORCID http://orcid.org/0000-0002-9244-8579

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/IN/NBPP/VR/05/2019-20Department of Biotechnology, Ministry of Science and Technology, India BT/IN/UK-VNC/43/KV/2015-16ICAR-INDIAN AGRICULTURAL RESEARCH INSTITITE CRSCIARISIL2021024309
6 · The paper itself

Abstract

MAIN

conclusionAssociation analysis identified 77 marker-trait associations (MTAs) for PUE traits, of which 10 were high-confidence MTAs. Candidate-gene mining and in-silico expression analysis identified 13 putative candidate genes for PUE traits. Bread wheat (Triticum aestivum L.) is a major cereal crop affected by phosphorus (P) deficiency, which affects root characteristics, plant biomass, and other attributes related to P-use efficiency (PUE). Understanding the genetic mechanisms of PUE traits helps in developing bread wheat cultivars that perform well in low-P environments. With this objective, we evaluated a bread wheat panel comprising 304 accessions for 14 PUE traits with high-throughput phenotyping under low-P and optimum-P treatments and observed a significant genetic variation among germplasm lines for studied traits. Genome-wide association study (GWAS) using 14,025 high-quality single-nucleotide polymorphisms identified 77 marker-trait associations (MTAs), of which 10 were chosen as high-confidence MTAs as they had > 10% phenotypic variation with logarithm of odds (LOD) scores of more than five. Candidate-gene (CG) mining from high-confidence MTAs identified 180 unique gene models, of which 78 were differentially expressed (DEGs) with at least twofold change in expression under low-P over optimum-P. Of the 78-DEGs, 13 were thought to be putative CGs as they exhibited functional relevance to PUE traits. These CGs mainly encode for important proteins and their products involved in regulating root system architecture, P uptake, transport, and utilization. Promoter analysis from 1500 bp upstream of gene start site for 13 putative CGs revealed the presence of light responsive, salicylic-acid responsive, gibberellic-acid (GA)-responsive, auxin-responsive, and cold responsive cis-regulatory elements. High-confidence MTAs and putative CGs identified in this study can be employed in breeding programs to improve PUE traits in bread wheat.

Indexed as

Genome-Wide Association StudyPhenotypePhosphorusPlant RootsPolymorphism, Single NucleotideTriticumGenome, PlantQuantitative Trait LociPhosphorusCandidate genesGenome-wide association studyIn-silico expression analysisPhosphorus use efficiencyRoot traitsTriticum aestivum (L.)

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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.