Evidence map›Paper›PMID 42581303›Full record

ArticleScientific data2026

Functional Annotation of Coding Sequences in the Cyanogenic Millipede Cherokia georgiana.

Elena Cruz, Sarah Carter, Daniel Hastings, Bruce A Snyder, Arnab Sengupta

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Elena CruzDepartment of Biological and Environmental Sciences, Georgia College & State University, Milledgeville, GA, 31061, USA.
Sarah CarterDepartment of Biological and Environmental Sciences, Georgia College & State University, Milledgeville, GA, 31061, USA.
Daniel HastingsDepartment of Biological and Environmental Sciences, Georgia College & State University, Milledgeville, GA, 31061, USA.
Bruce A SnyderDepartment of Biological and Environmental Sciences, Georgia College & State University, Milledgeville, GA, 31061, USA. bruce.snyder@gcsu.edu.
Arnab SenguptaDepartment of Biological and Environmental Sciences, Georgia College & State University, Milledgeville, GA, 31061, USA. arnab.sengupta@gcsu.edu.ORCID http://orcid.org/0000-0002-8548-9428

Funding

National Science Foundation (NSF) 2310684
6 · The paper itself

Abstract

Across thousands of known millipede species, genetic data is extremely limited. Many interesting biological processes in millipedes are ill-defined, such as the production of a defensive hydrogen cyanide secretion and UV fluorescence. We describe a transcriptomic dataset of the millipede Cherokia georgiana, including predicted coding regions and functional annotations. This de novo transcriptome will facilitate future research in understanding gene expression under a variety of conditions. Next-generation sequencing was conducted on polyA-enriched mature messenger RNAs using Illumina 2 x 150 paired-end sequencing. Total number of assembled contigs was 146,956. Transcripts were compared against the NCBI non-redundant (nr) protein database using DIAMOND BLASTx to identify sequence similarity to known proteins. Transcripts with sequence similarity to genes associated with cyanogenesis, including mandelonitrile oxidase and hydroxynitrile lyase, are present in this transcriptome. The data presented here enhances existing knowledge of millipede biology and provides a valuable reference for future research in myriapod evolution and ecology.

Indexed as

ArthropodsOpen Reading FramesTranscriptomeAnimalsMolecular Sequence Annotation

Identifiers

PMID42581303
PMCPMC13462569

What OpenQuestion holds

Textmetadata
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.