Genetic Differentiation and Adaptability of Teak (Tectona grandis L.f.) Meta-Population in India

• Published in: Plant molecular biology reporter Vol. 36; no. 4; pp. 564 - 575
• Main Authors: Vaishnav, Vivek, Ansari, Shamim Akhtar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2018; Springer Nature B.V
• Subjects: Adaptability; Adaptation; Bayesian analysis; Bayesian theory; Bioinformatics; Biomedical and Life Sciences; Climate change; Climate models; Climatic conditions; Clustering; Differentiation; Gene flow; genetic variation; Genotypes; geographical distribution; Global climate; Global climate models; India; Life Sciences; Metabolomics; Metapopulations; molecular biology; Original Paper; Plant Breeding/Biotechnology; Plant Sciences; Population; Population (statistical); Population genetics; Proteomics; Statistical analysis; Sustainability management; Tectona grandis; temperature; Wildlife conservation; India; Inter simple sequence repeat (ISSR); Linkage disequilibrium (LD); Bayesian analysis; Marker-geoclimatic association; Heterozygosity
• ISSN: 0735-9640; 1572-9818
• DOI: 10.1007/s11105-018-1101-3

The genetic differentiation of teak meta-population in India was investigated in relation to geographical and climatic variations employing dominant ISSR markers followed by Bayesian statistical analysis to understand adaptability of the species. The analysis based on 290 teak genotypes representing 29 locations of its natural distribution and 43 ISSR loci exhibited an insignificant structure and low 2.76% LD (≥ 0.1 R 2 values, p  < 0.001) in teak meta-population. The genetic and geographical variables despite acting independently with each other resulted in three sub-population clusters in the meta-population. The geographical barrier played a significant role in direction/restriction of gene flow. The integration of spatial/climatic variables altered the clustering pattern of the teak meta-population with signature of the adaptation to the temperature and longitudinal gradients that was also verified by the similar adaptation pattern of meta-population towards predicted global climate modeling for year 2050. The findings can help tackle the sustainable management and conservation of the species and its survival quotient in threat of changing climatic conditions.