Evidence map›Paper›PMID 36290353›Full record

ArticleBiology2022

Assessment of the Genetic Diversity and Population Structure of

Panthita Ruang-Areerate, Chaiwat Naktang, Wasitthee Kongkachana, Duangjai Sangsrakru, Nattapol Narong, Chatree Maknual, Tamanai Pravinvongvuthi, Waratthaya Promchoo, Suchart Yamprasai, Sithichoke Tangphatsornruang and 1 more

Abstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

11 authors.

Panthita Ruang-AreerateNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.ORCID 0000-0003-3864-1404
Chaiwat NaktangNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.
Wasitthee KongkachanaNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.
Duangjai SangsrakruNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.
Nattapol NarongNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.
Chatree MaknualDepartment of Marine and Coastal Resources, 120 The Government Complex, Chaengwatthana Rd., Thung Song Hong, Bangkok 10210, Thailand.
Tamanai PravinvongvuthiDepartment of Marine and Coastal Resources, 120 The Government Complex, Chaengwatthana Rd., Thung Song Hong, Bangkok 10210, Thailand.
Waratthaya PromchooDepartment of Marine and Coastal Resources, 120 The Government Complex, Chaengwatthana Rd., Thung Song Hong, Bangkok 10210, Thailand.
Suchart YamprasaiDepartment of Marine and Coastal Resources, 120 The Government Complex, Chaengwatthana Rd., Thung Song Hong, Bangkok 10210, Thailand.
Sithichoke TangphatsornruangNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.ORCID 0000-0003-2673-0012
Wirulda PootakhamNational Omics Center, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand.

Funding

National Science and Technology Development Agency P1952261
6 · The paper itself

Abstract

Rhizophora apiculata is one of the most widespread and economically important mangrove trees in the Indo-West Pacific region. Knowledge of the genetic variation of R. apiculata in Thailand is limited. Here, we generated a whole-genome sequence of R. apiculata using the 10× Genomics technology. R. apiculata genome assembly was 230.47 Mb. Based on its genome, 2640 loci of high-quality biallelic SNPs were identified from 82 R. apiculata accessions collected from 17 natural mangrove forests in Thailand to assess the genetic diversity and population structure among them. A moderate level of genetic diversity of R. apiculata was observed. The average observed heterozygosity (Ho = 0.48) was higher than the average expected heterozygosity (He = 0.36). Two subpopulations were observed and confirmed from three approaches: population structure, PCA, and phylogenetic analyses. They corresponded to the Gulf of Thailand and the Andaman Sea separated by the Malay Peninsula. AMOVA analyses indicated that genetic variation was attributable to 76.22% within populations and 23.78% among populations. A high level of genetic differentiation between the two subpopulations (FST = 0.24, p < 0.001) was observed. This study evaluated the genetic diversity and population structure of R. apiculata, providing useful information for sustainable mangrove management in Thailand.

Indexed as

genetic diversitymangrovepopulation structureRhizophora apiculataRhizophoraceaeSNPwhole-genome

Identifiers

PMID36290353
PMCPMC9598538

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.