Genetic Diversity and Gene Analysis in Forest Tree Breeding

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Genetics and Molecular Biology".

Deadline for manuscript submissions: 20 January 2025 | Viewed by 1079

Special Issue Editors

1. College of Forestry, Sichuan Agricultural University, Chengdu 611130, China
2. National Forestry and Grassland Administration Key Laboratory of Forest Resources Conservation and Ecological Safety on the Upper Reaches of the Yangtze River, Chengdu 611130, China
3. Forestry Ecological Engineering in the Upper Reaches of Yangtze River Key Laboratory of Sichuan Province, Chengdu 611130, China
Interests: forest genetics; tree breeding; quantitative genetics; molecular mark assisted breeding (MAS); function genomics

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Guest Editor
1. College of Forestry, Sichuan Agricultural University, Chengdu 611130, China
2. National Forestry and Grassland Administration, Key Laboratory of Forest Resources Conservation and Ecological Safety on the Upper Reaches of the Yangtze River, Chengdu 611130, China
3. Forestry Ecological Engineering in the Upper Reaches of Yangtze River Key Laboratory of Sichuan Province, Chengdu 611130, China
Interests: tree breeding; population genetics; quantitative genetics; phylogeny; function genomics

Special Issue Information

Dear Colleagues,

Trees are the main component of forest ecosystems, important carriers of global carbon cycle, and a necessary and indispensable renewable resource for human society. The genetic diversity of forests is the important part and the core issue of biodiversity, and the key prerequisite for the protection of forest germplasm resources and breeding utilization. Therefore, genetic diversity and gene analysis are also rapidly developing fields in forest tree breeding and have achieved a lot of fruitful findings. On the one hand, modern biological theories, techniques, and methods, especially molecular biology and biotechnology, such as whole-genome re-sequencing, genome-wide association study (GWAS), and genomic selection (GS), are widely used in forest genetic diversity and gene analysis. On the other hand, the research results and the application of new methods have formed some new theories and disciplines and also greatly developed the theories and methods of forest genetic diversity and gene analysis. Thus, it is time to summarize the current status and the latest research achievements of forest genetic diversity and gene analysis in forest tree breeding, and to promote the protection and breeding utilization of trees.

In this Special Issue, we are looking for genetic diversity and gene analysis in the area of forest tree breeding, including phenotypic and molecular diversity, quantitative genetics, tree conventional and molecular breeding, analysis and identification of germplasm resources, gene function analysis, molecular markers, next-generation sequencing (NGS), and new technologies applied to forest genetic diversity and gene analysis. We encourage studies from all fields, including experimental or field studies, real case studies, review and survey, new marker development, or software tools and methods.

Dr. Hanbo Yang
Dr. Lianghua Chen
Guest Editors

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Keywords

  • forest genetics
  • population genetics
  • genetic diversity
  • molecular and phenotypic marker
  • tree breeding
  • conservation and utilization of germplasm
  • molecular marker-assisted breeding (MAS)
  • quantitative genetics
  • function genomics

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Published Papers (2 papers)

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Research

17 pages, 4409 KiB  
Article
Genetic Diversity and Population Structure of Camellia drupifera (Theaceae) and Its Related Species Evaluated by SSR Markers
by Yufen Xu, Yanju Liu, Zhaoyan Yu, Kunlin Wu, Qiulin Cao, Han Gong, Yaodong Yang, Jianqiu Ye and Xiaocheng Jia
Forests 2024, 15(12), 2066; https://doi.org/10.3390/f15122066 - 22 Nov 2024
Abstract
Oil–tea camellia has a long history of cultivation and utilization, with a history of more than 2000 years. In China, it is the main woody oil crop with high economic value and a national resource with unique characteristics. Concurrently, it is also known [...] Read more.
Oil–tea camellia has a long history of cultivation and utilization, with a history of more than 2000 years. In China, it is the main woody oil crop with high economic value and a national resource with unique characteristics. Concurrently, it is also known as one of the four major woody oil crops in the world. However, the genetic background of Camellia drupifera Lour. on Hainan Island in China is still unclear, and there is a great lack of systematic genetic characterization, which seriously hinders the development and utilization of oil–tea camellia germplasm resources and genetic improvement on Hainan Island. To analyze the genetic diversity and kinship between C. drupifera and its related species, this study utilized SSR molecular marker technology to genotype 160 individuals from 23 populations. A total of 137 alleles were amplified from the 14 polymorphic primers, with an average of 9.786. The average number of effective alleles and that of Shannon’s information index for each locus were 1.865 and 0.633, respectively, suggesting that the screened SSR markers presented a moderately high level of polymorphism. Additionally, the mean observed heterozygosity (0.915) was greater than the mean expected heterozygosity (0.450), indicating an excess of heterozygotes in the tested population. The results of the principal component analysis (PCA), molecular variation analysis of variance (AMOVA) and population structure analysis were generally consistent; specifically, there was a high degree of individual heterozygosity within the population, and genetic variation occurred primarily among individuals within the population (90%) but rarely among groups (10%). Additionally, the UPGMA clustering divided the 160 germplasm resources into four major clades, and C. drupifera was principally grouped in two distinct branches; meanwhile, Camellia gauchowensis was also mainly clustered in these two clades. Camellia oleifera individuals were chiefly concentrated in other independent branches. It can be speculated that C. drupifera is genetically close to C. gauchowensis, but genetically distant from C. oleifera. This study can provide the scientific basis for the identification, collection, preservation, evaluation, and innovative utilization of oil–tea camellia. Full article
(This article belongs to the Special Issue Genetic Diversity and Gene Analysis in Forest Tree Breeding)
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16 pages, 1490 KiB  
Article
Genetic Diversity and Population Genetic Structure of Jatropha curcas L. Accessions from Different Provenances Revealed by Amplified Fragment-Length Polymorphism and Inter-Simple Sequence Repeat Markers
by Guoye Guo, Lin Tang and Ying Xu
Forests 2024, 15(9), 1575; https://doi.org/10.3390/f15091575 - 8 Sep 2024
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Abstract
The genetic diversity and structure of 17 populations of J. curcas, including 92 accessions from different provenances (tropical and subtropical), were investigated and effectively evaluated using twelve inter-simple sequence repeats (ISSRs) and seven pairs of florescence-amplified fragment-length polymorphism (AFLP) primers. Genetic diversity, [...] Read more.
The genetic diversity and structure of 17 populations of J. curcas, including 92 accessions from different provenances (tropical and subtropical), were investigated and effectively evaluated using twelve inter-simple sequence repeats (ISSRs) and seven pairs of florescence-amplified fragment-length polymorphism (AFLP) primers. Genetic diversity, at the overall level among populations of J. curcas based on the ISSR markers, showed that the observed number of alleles (Na) was 1.593, the effective number of alleles (Ne) was 1.330, Nei’s gene diversity (H) was 0.200, Shannon’s information index (I) was 0.303, and the percentage of polymorphic loci was 59.29%, indicating moderate genetic diversity between and within the different populations of J. curcas. Based on the genetic diversity analysis of AFLP markers, there were 1.464 (Na) and 1.216 (Ne) alleles, Nei’s gene diversity (H) was 0.132, Shannon’s information index (I) was 0.204, and the percentage of polymorphic loci was 46.40%. The AMOVA analysis showed that this large variance was due to differences within the populations, with genetic distinctions and limited gene flow among those from varied regions. The 17 populations were clustered into five main groups via UPGMA clustering analysis based on Nei’s genetic distance, and the genetic relationships among the populations exhibited no significant correlations with geographical provenances. The genetic variation among Chinese populations of J. curcas distributed in dry-hot valley areas was remarkable, and the American germplasm presented with distinct genetic differentiation. Full article
(This article belongs to the Special Issue Genetic Diversity and Gene Analysis in Forest Tree Breeding)
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