Evidence map›Paper›PMID 41873115›Full record

ArticleThe plant genome2026

A whole-genome assembly of St. Augustinegrass and visualizing diversity within the species.

Ashley N Schoonmaker, Ashley G Yow, Xingwang Yu, Rocio van der Laat, Jeffrey C Glaubitz, Kim Thorsted, Matthew D Robbins, B Shaun Bushman, Sheron A Simpson, Brian E Scheffler and 4 more

Abstract read
In one paragraph

Article in The plant genome, 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

14 authors.

Ashley N SchoonmakerBioinformatics Graduate Program, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0009-0006-0926-6042
Ashley G YowUSDA-ARS, Genomics and Bioinformatics Research Unit, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0002-2498-0133
Xingwang YuDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0003-0382-9474
Rocio van der LaatDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0009-0006-2357-9248
Jeffrey C GlaubitzBioinformatics Facility, Biotechnology Resource Center, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0009-0009-4086-1853
Kim ThorstedForage and Range Research Unit, USDA-ARS, Logan, Utah, USA.
Matthew D RobbinsForage and Range Research Unit, USDA-ARS, Logan, Utah, USA.ORCID https://orcid.org/0000-0002-5467-4452
B Shaun BushmanForage and Range Research Unit, USDA-ARS, Logan, Utah, USA.ORCID https://orcid.org/0000-0003-3489-1668
Sheron A SimpsonGenomics and Bioinformatics Research Unit, USDA-ARS, Stoneville, Mississippi, USA.ORCID https://orcid.org/0000-0003-0288-3452
Brian E SchefflerGenomics and Bioinformatics Research Unit, USDA-ARS, Stoneville, Mississippi, USA.ORCID https://orcid.org/0000-0003-1968-8952
Nathan P LynchHorticultural Science, North Carolina State University, Mills River, North Carolina, USA.ORCID https://orcid.org/0000-0001-8311-9063
Thomas G RanneyHorticultural Science, North Carolina State University, Mills River, North Carolina, USA.ORCID https://orcid.org/0000-0001-8201-9984
Susana Milla-LewisDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0001-8524-5039
Amanda M Hulse-KempBioinformatics Graduate Program, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0001-9670-9433

Funding

Agricultural Research Service 2080-21000-018-000-DAgricultural Research Service 6066-21310-005-00DUSDA Specialty Crops Research Initiative 2019-51181-30472
6 · The paper itself

Abstract

St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] is a warm-season turfgrass species in the family Poaceae. This species is a popular choice for lawns in the Southern United States, due to its higher tolerance to shade, heat and humidity. However, there is little genomic information available to researchers and breeders, limiting knowledge on the genetic basis for favorable traits. We present a reference-grade chromosome-scale genome assembly for the popular freeze-tolerant diploid cultivar Raleigh. The reference genome has been resolved into two haplotype assemblies (465.41 and 401.52 Mb), accounting for 95.2% and 82.1% of the expected haplotype genome size respectively, each anchored on the nine chromosomes and a total of 62,454 genes. Analysis of the assembly revealed 50.70% of the genome contained repeats. Analysis of the diversity within the species was investigated across 79 genotypes including commercial cultivars, breeding lines, and plant introductions by low-coverage sequencing identifying 605,038 single nucleotide polymorphisms (SNPs). The SNPs were used to investigate genetic diversity across the panel and the effectiveness of low-coverage sequencing on the high GC content species. SNPs classified genotypes into groups matching their phylogenetic and breeding history, with the plant introductions clustering into two groups on either side of the plot. Breeding lines for those whose parents existed in the panel clustered in between the two parents. These results showed that the cheaper, low-coverage option can be used for this type of analysis. Together, all of the resources produced in this study allow the start of the genomics-enabled genetic improvement for St. Augustinegrass.

Indexed as

Genetic VariationGenome, PlantPoaceaeChromosomes, PlantHaplotypesPolymorphism, Single Nucleotide

Identifiers

PMID41873115
PMCPMC13009705

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.