Evidence map›Paper›PMID 34182921›Full record

ArticleBMC genomics2021

Reproductive developmental transcriptome analysis of Tripidium ravennae (Poaceae).

Nathan Maren, Fangzhou Zhao, Rishi Aryal, Darren Touchell, Wusheng Liu, Thomas Ranney, Hamid Ashrafi

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 2 countries.

Nathan MarenDepartment of Horticultural Science, North Carolina State University, Campus Box 7609, Raleigh, NC, 27695-7609, USA. namaren@ncsu.edu.
Fangzhou ZhaoDepartment of Horticultural Science, North Carolina State University, Campus Box 7609, Raleigh, NC, 27695-7609, USA.
Rishi AryalDepartment of Horticultural Science, North Carolina State University, Campus Box 7609, Raleigh, NC, 27695-7609, USA.
Darren TouchellMountain Crop Improvement Lab, Department of Horticultural Science, Mountain Horticultural Crops Research and Extension Center, North Carolina State University, 455 Research Drive, Mills River, NC, 28759-3423, USA.
Wusheng LiuDepartment of Horticultural Science, North Carolina State University, Campus Box 7609, Raleigh, NC, 27695-7609, USA.
Thomas RanneyMountain Crop Improvement Lab, Department of Horticultural Science, Mountain Horticultural Crops Research and Extension Center, North Carolina State University, 455 Research Drive, Mills River, NC, 28759-3423, USA.
Hamid AshrafiDepartment of Horticultural Science, North Carolina State University, Campus Box 7609, Raleigh, NC, 27695-7609, USA. hamidashrafi@ncsu.edu.
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTripidium ravennae is a cold-hardy, diploid species in the sugarcane complex (Poaceae subtribe Saccharinae) with considerable potential as a genetic resource for developing improved bioenergy and ornamental grasses. An improved understanding of the genetic regulation of reproductive processes (e.g., floral induction, inflorescence development, and seed development) will enable future applications of precision breeding and gene editing of floral and seed development. In particular, the ability to silence reproductive processes would allow for developing seedless forms of valuable but potentially invasive plants. The objective of this research was to characterize the gene expression environment of reproductive development in T. ravennae.

resultsDuring the early phases of inflorescence development, multiple key canonical floral integrators and pathways were identified. Annotations of type II subfamily of MADS-box transcription factors, in particular, were over-represented in the GO enrichment analyses and tests for differential expression (FDR p-value < 0.05). The differential expression of floral integrators observed in the early phases of inflorescence development diminished prior to inflorescence determinacy regulation. Differential expression analysis did not identify many unique genes at mid-inflorescence development stages, though typical biological processes involved in plant growth and development expressed abundantly. The increase in inflorescence determinacy regulatory elements and putative homeotic floral development unigenes at mid-inflorescence development coincided with the expression of multiple meiosis annotations and multicellular organism developmental processes. Analysis of seed development identified multiple unigenes involved in oxidative-reductive processes.

conclusionReproduction in grasses is a dynamic system involving the sequential coordination of complex gene regulatory networks and developmental processes. This research identified differentially expressed transcripts associated with floral induction, inflorescence development, and seed development in T. ravennae. These results provide insights into the molecular regulation of reproductive development and provide a foundation for future investigations and analyses, including genome annotation, functional genomics characterization, gene family evolutionary studies, comparative genomics, and precision breeding.

Indexed as

Gene Expression Regulation, PlantPoaceaeGene Expression ProfilingInflorescencePlant BreedingDifferential gene expressionFloral transitionFloweringInflorescence developmentNext-generation sequencingReproductionRNA sequencingSeed developmentTranscriptome sequencingTripidium ravennae

Identifiers

PMID34182921
PMCPMC8237498
OpenAlexW3176293557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.