Evidence map›Paper›PMID 38602082›Full record

ArticleThe plant genome2024

Transcriptome-wide expression landscape and starch synthesis pathway co-expression network in sorghum.

Zhenbin Hu, Junhao Chen, Marcus O Olatoye, Hengyou Zhang, Zhenguo Lin

Abstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhenbin HuDepartment of Biology, Saint Louis University, Saint Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-1500-1255
Junhao ChenDepartment of Biology, Saint Louis University, Saint Louis, Missouri, USA.
Marcus O OlatoyeUSDA-ARS, Forage Seed and Cereal Research Unit, Prosser, Washington, USA.
Hengyou ZhangState Key Laboratory of Black Soils Conservation and Utilization, Key Laboratory of Soybean Molecular Design and Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China.
Zhenguo LinDepartment of Biology, Saint Louis University, Saint Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-8400-9138

Funding

Innovation Team Project of Northeast Institute of Geography and Agroecology 2022CXTD03National Natural Science Foundation of China 32272176Natural Science Foundation of Heilongjiang Province of China JQ2022C005The U.S. National Science Foundation 1951332
6 · The paper itself

Abstract

The gene expression landscape across different tissues and developmental stages reflects their biological functions and evolutionary patterns. Integrative and comprehensive analyses of all transcriptomic data in an organism are instrumental to obtaining a comprehensive picture of gene expression landscape. Such studies are still very limited in sorghum, which limits the discovery of the genetic basis underlying complex agricultural traits in sorghum. We characterized the genome-wide expression landscape for sorghum using 873 RNA-sequencing (RNA-seq) datasets representing 19 tissues. Our integrative analysis of these RNA-seq data provides the most comprehensive transcriptomic atlas for sorghum, which will be valuable for the sorghum research community for functional characterizations of sorghum genes. Based on the transcriptome atlas, we identified 595 housekeeping genes (HKGs) and 2080 tissue-specific expression genes (TEGs) for the 19 tissues. We identified different gene features between HKGs and TEGs, and we found that HKGs have experienced stronger selective constraints than TEGs. Furthermore, we built a transcriptome-wide co-expression network (TW-CEN) comprising 35 modules with each module enriched in specific Gene Ontology terms. High-connectivity genes in TW-CEN tend to express at high levels while undergoing intensive selective pressure. We also built global and seed-preferential co-expression networks of starch synthesis pathways, which indicated that photosynthesis and microtubule-based movement play important roles in starch synthesis. The global transcriptome atlas of sorghum generated by this study provides an important functional genomics resource for trait discovery and insight into starch synthesis regulation in sorghum.

Indexed as

Gene Expression Regulation, PlantSorghumStarchTranscriptomeGene Expression ProfilingGene Regulatory NetworksStarch

Identifiers

PMID38602082
PMCPMC12807068

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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.