ArticleBMC genomics2015
Uncovering co-expression gene network modules regulating fruit acidity in diverse apples.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 70 citations in OpenAlex.
- Integrated transcriptomics and WGCNA reveal candidate hub genes associated with terpenoid biosynthesis inFrontiers in plant science · 2026Article
- Alternative Splicing Underpins the ALMT9 Transporter Function for Vacuolar Malic Acid Accumulation in Apple.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Regulation of a vacuolar proton-pumping P-ATPase MdPH5 by MdMYB73 and its role in malate accumulation and vacuolar acidification.aBIOTECH · 2023Article
- Chemometric Classification of Apple Cultivars Based on Physicochemical Properties: Raw Material Selection for Processing Applications.Foods (Basel, Switzerland) · 2023Article
- A dramatic decline in fruit citrate induced by mutagenesis of a NAC transcription factor, AcNAC1.Plant biotechnology journal · 2023Article
- Combined Metabolome and Transcriptome Analyses Unveil the Molecular Mechanisms of Fruit Acidity Variation in Litchi (International journal of molecular sciences · 2023Article
- Genome-scale transcriptomic insights into the gene co-expression network of seed abortion in triploid Siraitia grosvenorii.BMC plant biology · 2022Article
- Transcriptomic Analysis of Early Flowering Signals in 'Royal' Flax.Plants (Basel, Switzerland) · 2022Article
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- Characterization of the genetic and regulatory networks associated with sugar and acid metabolism in applesFrontiers in plant science · 2022Article
- Identification of key genes controlling L-ascorbic acid during Jujube (Frontiers in plant science · 2022Article
- Insights into the effect of human civilization on Malus evolution and domestication.Plant biotechnology journal · 2021Article
- Comprehensive transcriptional analysis reveals salt stress-regulated key pathways, hub genes and time-specific responsive gene categories in common bermudagrass (Cynodon dactylon (L.) Pers.) roots.BMC plant biology · 2021Article
- Article
- Identification of key gene networks controlling organic acid and sugar metabolism during watermelon fruit development by integrating metabolic phenotypes and gene expression profiles.Horticulture research · 2020Article
- Transcriptional regulation of bark freezing tolerance in apple (Malus domestica Borkh.).Horticulture research · 2020Article
- Comparative Transcriptome Analysis of DifferentInternational journal of molecular sciences · 2020Article
- Exploring DNA Variant Segregation Types Enables Mapping Loci for Recessive Phenotypic Suppression of Columnar Growth in Apple.Frontiers in plant science · 2020Article
- An Overview of Embryogenesis: External Morphology and Transcriptome Profiling in the Hemipteran InsectFrontiers in physiology · 2020Article
- Identification of two QTLs associated with high fruit acidity in apple using pooled genome sequencing analysis.Horticulture research · 2020Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcidity is a major contributor to fruit quality. Several organic acids are present in apple fruit, but malic acid is predominant and determines fruit acidity. The trait is largely controlled by the Malic acid (Ma) locus, underpinning which Ma1 that putatively encodes a vacuolar aluminum-activated malate transporter1 (ALMT1)-like protein is a strong candidate gene. We hypothesize that fruit acidity is governed by a gene network in which Ma1 is key member. The goal of this study is to identify the gene network and the potential mechanisms through which the network operates.
resultsGuided by Ma1, we analyzed the transcriptomes of mature fruit of contrasting acidity from six apple accessions of genotype Ma_ (MaMa or Mama) and four of mama using RNA-seq and identified 1301 fruit acidity associated genes, among which 18 were most significant acidity genes (MSAGs). Network inferring using weighted gene co-expression network analysis (WGCNA) revealed five co-expression gene network modules of significant (P < 0.001) correlation with malate. Of these, the Ma1 containing module (Turquoise) of 336 genes showed the highest correlation (0.79). We also identified 12 intramodular hub genes from each of the five modules and 18 enriched gene ontology (GO) terms and MapMan sub-bines, including two GO terms (GO:0015979 and GO:0009765) and two MapMap sub-bins (1.3.4 and 1.1.1.1) related to photosynthesis in module Turquoise. Using Lemon-Tree algorithms, we identified 12 regulator genes of probabilistic scores 35.5-81.0, including MDP0000525602 (a LLR receptor kinase), MDP0000319170 (an IQD2-like CaM binding protein) and MDP0000190273 (an EIN3-like transcription factor) of greater interest for being one of the 18 MSAGs or one of the 12 intramodular hub genes in Turquoise, and/or a regulator to the cluster containing Ma1.
conclusionsThe most relevant finding of this study is the identification of the MSAGs, intramodular hub genes, enriched photosynthesis related processes, and regulator genes in a WGCNA module Turquoise that not only encompasses Ma1 but also shows the highest modular correlation with acidity. Overall, this study provides important insight into the Ma1-mediated gene network controlling acidity in mature apple fruit of diverse genetic background.
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