Evidence map›Paper›PMID 34732143›Full record

ArticleBMC plant biology2021

Deep transcriptomic study reveals the role of cell wall biosynthesis and organization networks in the developing shell of peanut pod.

Kapil Gupta, Shubhra Gupta, Adi Faigenboim-Doron, Abhinandan Surgonda Patil, Yael Levy, Scott Cohen Carrus, Ran Hovav

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kapil GuptaDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel. kapilgupta190184@gmail.com.
Shubhra GuptaDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel.
Adi Faigenboim-DoronDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel.
Abhinandan Surgonda PatilDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel.
Yael LevyDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel.
Scott Cohen CarrusDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel.
Ran HovavDepartment of Field Crops, Plant Sciences Institute, ARO, Rishon Lezion, Israel. ranh@volcani.agri.gov.il.
Agricultural Research Organization · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeanut (Arachis hypogaea L.) belongs to an exceptional group of legume plants, wherein the flowers are produced aerially, but the pods develop under the ground. In such a unique environment, the pod's outer shell plays a vital role as a barrier against mechanical damage and soilborne pathogens. Recent studies have reported the uniqueness and importance of gene expression patterns that accompany peanut pods' biogenesis. These studies focused on biogenesis and pod development during the early stages, but the late developmental stages and disease resistance aspects still have gaps. To extend this information, we analyzed the transcriptome generated from four pod developmental stages of two genotypes, Hanoch (Virginia-type) and IGC53 (Peruvian-type), which differs significantly in their pod shell characteristics and pathogen resistance.

resultsThe transcriptome study revealed a significant reprogramming of the number and nature of differentially expressed (DE) genes during shell development. Generally, the numbers of DE genes were higher in IGC53 than in Hanoch, and the R5-R6 transition was the most dynamic in terms of transcriptomic changes. Genes related to cell wall biosynthesis, modification and transcription factors (TFs) dominated these changes therefore, we focused on their differential, temporal and spatial expression patterns. Analysis of the cellulose synthase superfamily identified specific Cellulose synthase (CesAs) and Cellulose synthase-like (Csl) genes and their coordinated interplay with other cell wall-related genes during the peanut shell development was demonstrated. TFs were also identified as being involved in the shell development process, and their pattern of expression differed in the two peanut genotypes. The shell component analysis showed that overall crude fiber, cellulose, lignin, hemicelluloses and dry matter increased with shell development, whereas K, N, protein, and ash content decreased. Genotype IGC53 contained a higher level of crude fiber, cellulose, NDF, ADF, K, ash, and dry matter percentage, while Hanoch had higher protein and nitrogen content.

conclusionsThe comparative transcriptome analysis identified differentially expressed genes, enriched processes, and molecular processes like cell wall biosynthesis/modifications, carbohydrate metabolic process, signaling, transcription factors, transport, stress, and lignin biosynthesis during the peanut shell development between two contrasting genotypes. TFs and other genes like chitinases were also enriched in peanut shells known for pathogen resistance against soilborne major pathogens causing pod wart disease and pod damages. This study will shed new light on the biological processes involved with underground pod development in an important legume crop.

Indexed as

ArachisCell WallFlowersGene Expression Regulation, PlantGlucosyltransferasesPlant ProteinsTranscription FactorsTranscriptomecellulose synthase (GDP-forming)GlucosyltransferasesPlant ProteinsTranscription FactorsCellulose synthasesCell WallPeanutPod wartShell developmentTranscription factorsTranscriptome

Identifiers

PMID34732143
PMCPMC8565004
OpenAlexW3209612902

What OpenQuestion holds

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LicenceCC BY
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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.