Evidence map›Paper›PMID 40646147›Full record

ArticleScientific reports2025

Generation and characterization of novel transcriptome-derived SSR markers for genetic applications in blueberry.

Krishnanand P Kulkarni, Richmond K Appiah, Jennifer Johnson-Cicalese, Nicholi Vorsa, Umesh K Reddy, Sathya Elavarthi, Hamed Bostan, Massimo Iorizzo, Kalpalatha Melmaiee

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Diversity Evaluation and Population Structure Analysis of the GenusInternational journal of molecular sciences · 2025
    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

9 authors.

Krishnanand P KulkarniDepartment of Agriculture and Natural Resources, Delaware State University, Dover, DE, 19901, USA.
Richmond K AppiahDepartment of Agriculture and Natural Resources, Delaware State University, Dover, DE, 19901, USA.
Jennifer Johnson-CicaleseDepartment of Plant Biology, Rutgers University, New Brunswick, NJ, 08901, USA.
Nicholi VorsaDepartment of Plant Biology, Rutgers University, New Brunswick, NJ, 08901, USA.
Umesh K ReddyDepartment of Biology, West Virginia State University, Institute, 25112, WV, USA.
Sathya ElavarthiDepartment of Agriculture and Natural Resources, Delaware State University, Dover, DE, 19901, USA.
Hamed BostanDepartment of Horticultural Science and Plants for Human Health Institute, NC State University, Kannapolis, NC, 28081, USA.
Massimo IorizzoDepartment of Horticultural Science and Plants for Human Health Institute, NC State University, Kannapolis, NC, 28081, USA.
Kalpalatha MelmaieeDepartment of Agriculture and Natural Resources, Delaware State University, Dover, DE, 19901, USA. kmelmaiee@desu.edu.

Funding

National Institute of Food and Agriculture 2018-38821-27744
6 · The paper itself

Abstract

Blueberries (Vaccinium spp.) are small fruit crops native to North America but grown commercially in several countries. There has been a steady increase in consumer demand for blueberries, owing to their numerous health benefits attributable to the high content of antioxidant compounds. Despite its importance, limited genomic resources are available, hindering genetic research and improvement in blueberry. In this study, we developed novel transcriptome-derived simple sequence repeat (SSR) markers from two divergent blueberry species. We identified 64,013 SSRs from 208,286 unigenes de novo assembled from 135 million high-quality sequence reads. SSRs with mononucleotide repeat motifs were most abundant, followed by di-, tri-, tetra-, penta-, and hexanucleotide repeat motifs. The repeat motif AG/CT was most abundant (84%) compared to the other three dinucleotide repeat motifs, AC/TG, AT/TA, and CG/GC. Similarly, AAG/CTT and AAAT/ATTT were the most abundant tri- and tetra-nucleotide repeat motifs, respectively. We designed 33,179 primer pairs from 64,013 SSR motifs. Genomic coordinates of these primers were identified using a chromosome-scale reference genome sequence of diploid blueberry clone W85-20. After discarding those markers mapped with MapQ < 1, genomic positions for 19,310 markers were identified. Thirty-six SSRs differing in nucleotide repeat motifs were randomly selected for PCR optimization, characterization, and amplification in 45 diverse Vaccinium species. Thirty-four primers generated 158 alleles with an average of 4.6 alleles per locus. Genetic structure analyses revealed a high genetic differentiation among the selected species, and divided 45 accessions into two to five clusters. Furthermore, the selected SSR markers showed 88.2-97% cross-species transferability, suggesting the possibility of using these markers for various genetics and comparative genomics applications in blueberry and cranberry species. Thus, the transcriptome-derived SSR markers developed in this study could serve as a valuable resource for further genetic and evolutionary studies in Vaccinium species.

Indexed as

Blueberry PlantsMicrosatellite RepeatsTranscriptomeGenetic MarkersGenetic MarkersBlueberry, CranberryCross-species transferabilityEST-SSRsGenetic relationshipsRNAseqTranscriptomeVaccinium

Identifiers

PMID40646147
PMCPMC12254408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.