Evidence map›Paper›PMID 37147582›Full record

ArticleBMC plant biology2023

Investigating the genetic components of tuber bruising in a breeding population of tetraploid potatoes.

Olivia Angelin-Bonnet, Susan Thomson, Matthieu Vignes, Patrick J Biggs, Katrina Monaghan, Rebecca Bloomer, Kathryn Wright, Samantha Baldwin

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.4field-weighted citation impact, top 7% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 2 institutions in 1 country.

Olivia Angelin-BonnetThe New Zealand Institute for Plant and Food Research Limited, Palmerston North, 4442, New Zealand. olivia.angelin-bonnet@plantandfood.co.nz.
Susan ThomsonThe New Zealand Institute for Plant and Food Research Limited, Christchurch, 8140, New Zealand.
Matthieu VignesSchool of Mathematical and Computational Sciences, Massey University, Palmerston North, 4412, New Zealand.
Patrick J BiggsSchool of Natural Sciences, Massey University, Palmerston North, 4412, New Zealand.
Katrina MonaghanThe New Zealand Institute for Plant and Food Research Limited, Christchurch, 8140, New Zealand.
Rebecca BloomerThe New Zealand Institute for Plant and Food Research Limited, Christchurch, 8140, New Zealand.
Kathryn WrightThe New Zealand Institute for Plant and Food Research Limited, Christchurch, 8140, New Zealand.
Samantha BaldwinThe New Zealand Institute for Plant and Food Research Limited, Christchurch, 8140, New Zealand.
Plant & Food Research · NZMassey University · NZ

Funding

Massey University School of Fundamental Sciences (Massey University) Doctoral ScholarshipMinistry of Business, Innovation and Employment C11X1702
6 · The paper itself

Abstract

backgroundTuber bruising in tetraploid potatoes (Solanum tuberosum) is a trait of economic importance, as it affects tubers' fitness for sale. Understanding the genetic components affecting tuber bruising is a key step in developing potato lines with increased resistance to bruising. As the tetraploid setting renders genetic analyses more complex, there is still much to learn about this complex phenotype. Here, we used capture sequencing data on a panel of half-sibling populations from a breeding programme to perform a genome-wide association analysis (GWAS) for tuber bruising. In addition, we collected transcriptomic data to enrich the GWAS results. However, there is currently no satisfactory method to represent both GWAS and transcriptomics analysis results in a single visualisation and to compare them with existing knowledge about the biological system under study.

resultsWhen investigating population structure, we found that the STRUCTURE algorithm yielded greater insights than discriminant analysis of principal components (DAPC). Importantly, we found that markers with the highest (though non-significant) association scores were consistent with previous findings on tuber bruising. In addition, new genomic regions were found to be associated with tuber bruising. The GWAS results were backed by the transcriptomics differential expression analysis. The differential expression notably highlighted for the first time the role of two genes involved in cellular strength and mechanical force sensing in tuber resistance to bruising. We proposed a new visualisation, the HIDECAN plot, to integrate the results from the genomics and transcriptomics analyses, along with previous knowledge about genomic regions and candidate genes associated with the trait.

conclusionThis study offers a unique genome-wide exploration of the genetic components of tuber bruising. The role of genetic components affecting cellular strength and resistance to physical force, as well as mechanosensing mechanisms, was highlighted for the first time in the context of tuber bruising. We showcase the usefulness of genomic data from breeding programmes in identifying genomic regions whose association with the trait of interest merit further investigation. We demonstrate how confidence in these discoveries and their biological relevance can be increased by integrating results from transcriptomics analyses. The newly proposed visualisation provides a clear framework to summarise of both genomics and transcriptomics analyses, and places them in the context of previous knowledge on the trait of interest.

Indexed as

Solanum tuberosumGenome-Wide Association StudyPhenotypePlant BreedingPlant TubersQuantitative Trait LociTetraploidyDifferential expressionGWASSolanum tuberosumSystems biologyTuber bruising

Identifiers

PMID37147582
PMCPMC10161554
OpenAlexW4372334577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.