Comparative Chloroplast Genome Analysis in High-Yielding <i>Pinus kesiya</i> var. <i>langbianensis</i>
<i>Pinus kesiya</i> var. <i>langbianensis</i>, a species endemic to Yunnan, China, accounts for over 90% of Yunnan’s <i>Pinus</i> resin production. However, there is significant variation in resin yield among individuals, and molecular markers for identifying high...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
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| Series: | Diversity |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-2818/16/11/665 |
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| Summary: | <i>Pinus kesiya</i> var. <i>langbianensis</i>, a species endemic to Yunnan, China, accounts for over 90% of Yunnan’s <i>Pinus</i> resin production. However, there is significant variation in resin yield among individuals, and molecular markers for identifying high-yielding individuals have yet to be developed. In this study, a comparative analysis of complete chloroplast genomes of <i>P. kesiya</i> var. <i>langbianensis</i> was conducted to perform a phylogenetic analysis and differentiate high-yielding individuals. Both high-yielding (HY) and low-yielding (LY) trees possess a typical quadripartite structure, with respective genome sizes of 119,812 bp and 119,780 bp. Each chloroplast genome contains 112 genes, including 72 protein-coding genes, 36 tRNAs, and 4 rRNAs. Furthermore, HY and LY trees contain 30 and 34 SSRs, respectively, with mononucleotide repeats being predominant; neither genome exhibited trinucleotide or pentanucleotide repeats. Six highly variable regions were identified: <i>trnI-CAU-psbA</i>, <i>trnH-GUG-trnI-CAU</i>, <i>rpl16</i>, <i>rrn4.5-rrn5</i>, <i>petG-petL</i>, and <i>psaJ</i>. Phylogenetic analysis based on 72 <i>Pinus</i> species revealed that HY and LY trees clustered separately, with the HY tree grouping with <i>P. kesiya</i> and the LY tree with <i>P. yunnanensis</i>. This study provides a theoretical foundation for the molecular identification of high-yield <i>P. kesiya</i> var. <i>langbianensis</i> individuals and enriches the understanding of its phylogenetic relationships. |
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| ISSN: | 1424-2818 |