Evidence map›Paper›PMID 27148320›Full record

ArticleFrontiers in plant science2016

De novo Transcriptome Analysis and Molecular Marker Development of Two Hemarthria Species.

Xiu Huang, Hai-Dong Yan, Xin-Quan Zhang, Jian Zhang, Taylor P Frazier, De-Jun Huang, Lu Lu, Lin-Kai Huang, Wei Liu, Yan Peng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
20.2field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  2. Elucidating the Mesocarp Drupe Transcriptome of Açai (International journal of molecular sciences · 2023
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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

12 authors at 4 institutions in 3 countries.

Xiu HuangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Hai-Dong YanDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Xin-Quan ZhangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Jian ZhangHerbivorous Livestock Research Institute, Chongqing Academy of Animal Sciences Chongqing, China.
Taylor P FrazierDepartment of Horticulture, Virginia Polytechnic Institute and State University Blacksburg, VA, USA.
De-Jun HuangHerbivorous Livestock Research Institute, Chongqing Academy of Animal Sciences Chongqing, China.
Lu LuDepartment of Biochemistry and Molecular Biology, Biosciences Faculty, Universitat Autònoma de Barcelona Cerdanyola del Vallès, Spain.
Lin-Kai HuangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Wei LiuDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Yan PengDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Xiao MaDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Yan-Hong YanDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University Chengdu, China.
Sichuan Agricultural University · CNChongqing Academy of Animal Science · CNUniversitat Autònoma de Barcelona · ESVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemarthria R. Br. is an important genus of perennial forage grasses that is widely used in subtropical and tropical regions. Hemarthria grasses have made remarkable contributions to the development of animal husbandry and agro-ecosystem maintenance; however, there is currently a lack of comprehensive genomic data available for these species. In this study, we used Illumina high-throughput deep sequencing to characterize of two agriculturally important Hemarthria materials, H. compressa "Yaan" and H. altissima "1110." Sequencing runs that used each of four normalized RNA samples from the leaves or roots of the two materials yielded more than 24 million high-quality reads. After de novo assembly, 137,142 and 77,150 unigenes were obtained for "Yaan" and "1110," respectively. In addition, a total of 86,731 "Yaan" and 48,645 "1110" unigenes were successfully annotated. After consolidating the unigenes for both materials, 42,646 high-quality SNPs were identified in 10,880 unigenes and 10,888 SSRs were identified in 8330 unigenes. To validate the identified markers, high quality PCR primers were designed for both SNPs and SSRs. We randomly tested 16 of the SNP primers and 54 of the SSR primers and found that the majority of these primers successfully amplified the desired PCR product. In addition, high cross-species transferability (61.11-87.04%) of SSR markers was achieved for four other Poaceae species. The amount of RNA sequencing data that was generated for these two Hemarthria species greatly increases the amount of genomic information available for Hemarthria and the SSR and SNP markers identified in this study will facilitate further advancements in genetic and molecular studies of the Hemarthria genus.

Indexed as

de novo assemblyHemarthria R. Br.marker developmentRNA-Seqtranscriptome

Identifiers

PMID27148320
PMCPMC4834353
OpenAlexW2336020637

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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.