Donghyeok Jo, Seung Hee Baek, Chungoo Park, Pyung Won Kang, Sook Chung Shin, Lee Hyun-Gwan
언어
영어(ENG)
URL
https://www.earticle.net/Article/A461013
※ 기관로그인 시 무료 이용이 가능합니다.
4,200원
원문정보
초록
영어
Identifying wood species from archaeological artifacts provides crucial information for understanding ancient technological capabilities, resource utilization patterns, paleovegetation, environmental changes, and societal interactions. While traditional microscopical anatomy analysis and common genetic markers (rbcL, rpoB, matK, atp, and 18S) for general plants exhibit limitations in archaeological samples due to DNA degradation and contamination, this study employed the chloroplast trnL gene with shorter sequences for wood identification. Metabarcoding analysis was performed on ancient DNA extracted from wooden components of bronze artifacts (乙-shaped bronze implement, Tubular bronze implement, and Twin-bird Shaped Pommel) excavated from the early Iron Age Namyangju site, targeting the trnL (UAA) intron P6 loop. Using our classifier with reference database constructed from NCBI GenBank and expanded plant database, the analysis identified eight plant families (Asteraceae, Brassicaceae, Convolvulaceae, Marantaceae, Rosaceae, Fabaceae, Poaceae, and Amaryllidaceae). Notably, Rosaceae showed significant presence across all samples (乙-shaped bronze implement: 33.05%, Tubular bronze implement 1: 3.17%, Tubular bronze implement 2: 29.09%, Twin-bird Shaped Pommel: 45.2%), suggesting the use of native woody Rosaceae species. This genetic approach successfully refined the identification of previously unspecified “broadleaf tree/hardwood” specimens to the family level, demonstrating its effectiveness as a complementary method in archaeological wood identification. The results not only provide insights into ancient wood resource utilization patterns but establish a methodological framework for future archaeobotanical studies using ancient DNA analysis.
목차
ABSTRACT 1. INTRODUCTION 2. MATERIALS AND METHODS 2.1. W ood s amples and a ncient D NA ( aDNA) purification for next-generation sequencing 2.2. Library preparation, quality control, and DNA Sequencing 2.3. Bioinformatic analysis of metabarcoding data 3. RESULTS 3.1. Initial analysis and sample characterization 3.2. DNA analysis of archaeological wood samples 3.3. Overview of metabarcoding analysis pipeline 3.4. Performance evaluation of taxonomic classification 3.5. Taxonomic composition and native woody plant identification 4. DISCUSSION 5. CONCLUSION ACKNOWLEDGMENTS REFERENCES