Evidence map›Paper›PMID 41588331›Full record

ArticleBMC genomics2026

Analysis of the variation and genetic stability of chloroplast genome of Pinus taeda.

Ling Wang, Kaibin Jiang, Liangyu Cao, Jiawen Yu, Jimeng Sun, Chunxin Liu, Shaowei Huang, Tianyi Liu

Abstract read
In one paragraph

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

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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

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2 · The registry

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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

8 authors.

Ling WangCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Kaibin JiangCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Liangyu CaoCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Jiawen YuCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Jimeng SunCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Chunxin LiuCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Shaowei HuangCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China.
Tianyi LiuCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510642, China. tianyiliu@scau.edu.cn.

Funding

Guangdong Provincial People's Government 2020B020215001the National Natural Science Foundation of China 31570654
6 · The paper itself

Abstract

Chloroplasts are utilized in genetic studies due to their compact genomes and simple structure. While their inheritance is predominantly maternal in most plants, it is paternal in many gymnosperms. This study investigated intraspecific variation and inheritance patterns of the chloroplast genome in loblolly pine (Pinus taeda). We sequenced chloroplast DNA from 54 individuals in the second generation core breeding population and performed genome-wide SNP discovery via a custom Python pipeline. From the 81 initially identified SNP loci, a final set of 32 high-frequency loci (variation frequency > 5%) was selected for validation, comprising 14 in intergenic spacer regions and 18 within gene regions. Despite overall conservation, we identified a hypervariable region in the ycf1 gene, which contained 8 SNP loci and accounted for 44.4% of all coding region SNPs. We then designed 23 primer pairs to amplify the regions containing these candidate variants across a 9 × 5 tester design, encompassing a total of 75 individuals (45 progeny and 30 parents). Phylogenetic and haplotype analyses based on these SNPs revealed no maternal haplotype sharing between any of the eight maternal parents and their progeny, and showed that progeny consistently clustered with specific paternal parents, such as W03 and N4. Furthermore, analysis of SNP profiles allowed reconstruction of paternal lineages and detection of patterns indicative of pollen contamination. Collectively, these results validate both the paternal inheritance of the chloroplast genome in P. taeda and the potential utility of chloroplast markers in conifer breeding.

Indexed as

Genetic VariationGenome, ChloroplastGenomic InstabilityPinus taedaDNA, ChloroplastHaplotypesPhylogenyPolymorphism, Single NucleotideDNA, ChloroplastChloroplast genomeParent-progeny inheritancePaternal inheritancePinus taedaSNP

Identifiers

PMID41588331
PMCPMC12917966

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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.