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Species distribution modelling and population genetic analysis of Yushania anceps; an endemic temperate woody bamboo of the Uttarakhand Himalayas

Published online by Cambridge University Press:  13 November 2023

Rajendra K. Meena*
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Forest Research Institute, Dehradun-248 195, Uttarakhand, India
Nitika Negi
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Forest Research Institute, Dehradun-248 195, Uttarakhand, India Forest Pathology Discipline, Division of Forest Protection, ICFRE-Forest Research Institute, Dehradun-248 006, Uttarakhand, India
Maneesh S. Bhandari
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Forest Research Institute, Dehradun-248 195, Uttarakhand, India
Rajeev Shankhwar
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Forest Research Institute, Dehradun-248 195, Uttarakhand, India
Abhishek Yadav
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Forest Research Institute, Dehradun-248 195, Uttarakhand, India
Rama Kant
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Forest Research Institute, Dehradun-248 195, Uttarakhand, India
Shailesh Pandey
Affiliation:
Forest Pathology Discipline, Division of Forest Protection, ICFRE-Forest Research Institute, Dehradun-248 006, Uttarakhand, India
Rajesh Sharma
Affiliation:
Division of Genetics and Tree Improvement, ICFRE-Himalayan Forest Research Institute, Shimla-171 013, Himachal Pradesh, India
*
Corresponding author: Rajendra K. Meena; Email: rajnrcpb@gmail.com

Abstract

Yushania anceps is a temperate woody bamboo taxon of high socio-economic importance occurring in the sub-alpine zone of the western Himalayas. This study was carried out to delineate the potential distribution of Y. anceps in the western Himalayas through species distribution modelling (SDM), and genetic characterization using sequence-tagged microsatellite (STMS) markers. The present study revealed an endemic distribution of this species in the Uttarakhand Himalayas, with an estimated area of 211.59 km2. The maximum probability of occurrence was recorded in the moderately dense forests between the altitudinal ranges of 2500 and 2700 m. The model output was well supported with high values of different statistical measures, such as the AUC (0.911) and Kappa coefficient (K = 0.513). Environmental variables related to precipitation, temperature and topography were identified as the most contributory in current SDM. In addition, diversity measures, namely allelic richness (Ar), expected heterozygosity (He), and fixation index (FST), were calculated in five sampled populations with eight STMS markers, which indicated high genetic diversity (Ar = 4.24; He = 0.689) and little differentiation (FST = 0.062). The diversity maps displayed that the populations located in the Kumaon region captured relatively more genetic diversity than the Garhwal region. Further, genetic clustering and STRUCTURE analysis revealed a substantial level of genetic admixing across the analysed populations, and as a result, no sub-structuring was detected. Due to the rare and endemic distribution of Y. anceps, it requires immediate conservation measures, and the knowledge base generated here will be of paramount importance to forest managers, researchers and policymakers.

Type
Research Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany

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References

Allouche, O, Tsoar, A and Kadmon, R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43, 12231232.10.1111/j.1365-2664.2006.01214.xCrossRefGoogle Scholar
Attigala, L, Gallaher, T, Nason, J and Clark, LG (2017) Genetic diversity and population structure of the threatened temperate woody bamboo Kuruna debilis (Poaceae: Bambusoideae: Arundinarieae) from Sri Lanka based on microsatellite analysis. Journal of the National Science Foundation of Sri Lanka 45, 53.10.4038/jnsfsr.v45i1.8038CrossRefGoogle Scholar
Bahadur, KN and Naithani, HB (1976) On a rare Himalayan bamboo. Indian Journal of Forestry 1, 3943.Google Scholar
Banik, RL (2016) Ringal bamboos of the Himalayas. In Banik, RL (ed.), Silviculture of South Asian Priority Bamboos. Singapore: Springer, pp. 277291.10.1007/978-981-10-0569-5_11CrossRefGoogle Scholar
Bean, WJ (1981) Trees and Shrubs Hardy in the British Isles. London: John Murray.Google Scholar
Benito, BM, Martínez-Ortega, MM, Muñoz, LM, Lorite, J and Peñas, J (2009) Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses. Biodiversity and Conservation 18, 25092520.10.1007/s10531-009-9604-8CrossRefGoogle Scholar
Bhandawat, A, Sharma, V, Sharma, H, Sood, A and Sharma, RK (2015) Development and cross transferability of functionally relevant micro-satellite markers in Dendrocalamus latiflorus and related bamboo species. Journal of Genetics 93, e48e55.10.1007/s12041-014-0377-9CrossRefGoogle Scholar
Bhandawat, A, Sharma, V, Singh, P, Seth, R, Nag, A, Kaur, J and Sharma, RK (2019) Discovery and utilization of EST-SSR marker resource for genetic diversity and population structure analyses of a subtropical bamboo, Dendrocalamus hamiltonii. Biochemical Genetics 57, 652672.10.1007/s10528-019-09914-4CrossRefGoogle ScholarPubMed
Bridge, NK (1973) Copy of letter No. NKB/MM, dt. 20.8.1973, from the Research Association of Paper and Board Industries, U.K. to the Indian High Commission in London, filled in herbarium DD-unpublished.Google Scholar
Canavan, S, Richardson, DM, Visser, V, Le Roux, JJ, Vorontsova, MS and Wilson, JRU (2017) The global distribution of bamboos: assessing correlates of introduction and invasion. AoB Plants 9, plw078.Google Scholar
Carvalho, SB, Brito, JC, Crespo, EG, Watts, ME and Possingham, HP (2011) Conservation planning under climate change: toward accounting for uncertainty in predicted species distributions to increase confidence in conservation investments in space and time. Biological Conservation 144, 20202030.10.1016/j.biocon.2011.04.024CrossRefGoogle Scholar
Chapuis, MP and Estoup, A (2007) Microsatellite null alleles and estimation of population differentiation. Molecular Biology and Evolution 24, 621631.10.1093/molbev/msl191CrossRefGoogle ScholarPubMed
Chen, LN, Cui, YZ, Wong, KM, Li, DZ and Yang, HQ (2017) Breeding system and pollination of two closely related bamboo species. AoB Plants 9, plx021.10.1093/aobpla/plx021CrossRefGoogle ScholarPubMed
Chiocchini, F, Mattioni, C, Pollegioni, P, Lusini, I, Martin, MA, Cherubini, M, Lauteri, M and Villani, F (2016) Mapping the genetic diversity of Castanea sativa: exploiting spatial analysis for biogeography and conservation studies. Journal of Geographical Systems 8, 248.Google Scholar
Doyle, JJ and Doyle, JL (1987) A rapid DNA isolation procedure for small quantities of fresh leaf material. Phytochemical Bulletin 19, 1115.Google Scholar
Earl, DA and vonHoldt, BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources 4, 359361.10.1007/s12686-011-9548-7CrossRefGoogle Scholar
Elith, J and Leathwick, JR (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40, 677697.10.1146/annurev.ecolsys.110308.120159CrossRefGoogle Scholar
Elith, J, Phillips, SJ, Hastie, T, Dudík, M, Chee, YE and Yates, CJ (2011) A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17, 4357.CrossRefGoogle Scholar
Excoffier, L, Laval, G and Schneider, S (2005) Arlequin ver. 3.0: an integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1, 4750.Google Scholar
Fielding, AH and Bell, JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24, 3849.CrossRefGoogle Scholar
Flory, AR, Kumar, S, Stohlgren, TJ and Cryan, PM (2012) Environmental conditions as sociated with bat white nose syndrome mortality in the north-eastern United States. Journal of Applied Ecology 49, 680689.CrossRefGoogle Scholar
Franklin, J (2023) Species distribution modeling supports the study of past, present and future biogeographies. Journal of Biogeography 50, 15331545.10.1111/jbi.14617CrossRefGoogle Scholar
Gamble, JS (1896) The Bambusae of British India Volume 7 of Calcutta – Royal Botanical Gardens. Calcutta: Annals.Google Scholar
Guisan, A, Broennimann, O, Engler, R, Yoccoz, NG, Vust, M, Yoccoz, NG, Lehmann, A and Zimmermann, NE (2006) Using Niche-based models to improve the sampling of rare species. Conservation Biology 20, 501511.10.1111/j.1523-1739.2006.00354.xCrossRefGoogle ScholarPubMed
Hengl, T (2009) A Practical Guide to Geostatistical Mapping. Amsterdam: University of Amsterdam.Google Scholar
Hijmans, RJ, Cameron, SE, Parra, JL, Jones, PG and Jarvis, A (2005) Very high-resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25, 19651978.10.1002/joc.1276CrossRefGoogle Scholar
Huang, L, Xing, XC, Li, WW, Zhou, Y, Zhang, YQ, Xue, C, Ren, Y and Kang, JQ (2021) Population genetic structure of the giant panda staple food bamboo (Fargesia spathacea complex) and its taxonomic implications. Journal of Systematics and Evolution 59, 10511064.CrossRefGoogle Scholar
ICFRE (2017) Bamboo conservation, management and utilisation: a status report. Indian Council of Forestry Research and Education, Dehradun.Google Scholar
ISFR (2019) India State of Forest Report. Dehradun: Forest Survey of India.Google Scholar
Jiang, W, Bai, T, Dai, H, Wei, Q, Zhang, W and Ding, Y (2017) Microsatellite markers revealed moderate genetic diversity and population differentiation of moso bamboo (Phyllostachys edulis)- a primarily asexual reproduction species in China. Tree Genetics & Genomes 13, 130.CrossRefGoogle Scholar
Kalinowski, ST (2005) HP-Rare: a computer program for performing rarefaction on measures of allelic diversity. Molecular Ecology Notes 5, 187189.CrossRefGoogle Scholar
Kharlyngdoh, E, Adhikari, D and Barik, SK (2016) Modeling the distribution of a few lesser-known bamboo species of Meghalaya and determining areas for their conservation. In: Upadhaya, K (ed.), Biodiversity and Environmental Conservation. New Delhi: Discovery Publishing House Pvt Ltd, pp. 202216.Google Scholar
Kottek, MJ, Grieser, C, Beck, B, Rudolf, and Rubel, F (2006) World Map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift 15, 259263.10.1127/0941-2948/2006/0130CrossRefGoogle Scholar
Krizman, M, Jakse, J, Baricevic, D, Javornik, B and Mirko, P (2006) Robust CTAB-activated charcoal protocol for plant DNA extraction. Acta Agriculturae Slovenica 87, 427433.Google Scholar
Lin, WC (1974) Yushania anceps (Mitford). Bulletin Taiwan Forest Research Institute 248, 9.Google Scholar
Liu, K and Muse, SV (2005) PowerMarker: integrated analysis environment for genetic marker data. Bioinformatics (Oxford, England) 21, 21282129.CrossRefGoogle Scholar
Lomba, A, Pellissier, L, Randin, C, Vicente, J, Moreira, F, Honrado, J and Guisan, A (2010) Overcoming the rare species modeling paradox: a novel hierarchical framework applied to an Iberian endemic plant. Biological Conservation 143, 26472657.10.1016/j.biocon.2010.07.007CrossRefGoogle Scholar
Ma, QQ, Song, HX, Zhou, SQ, Yang, WQ, Li, DS and Chen, JS (2013) Genetic structure in dwarf bamboo (Bashania fangiana) clonal populations with different genet ages. PLoS One 8, e78784.CrossRefGoogle ScholarPubMed
Mantel, N (1967) The detection of disease clustering and a generalized regression approach. Cancer Research 27, 209220.Google Scholar
Matschiner, M and Salzburger, W (2009) TANDEM: integrating automated allele binning into genetics and genomics workflows. Bioinformatics (Oxford, England) 25, 19821983.Google ScholarPubMed
Meena, RK and Bhandhari, MS, Barhwal, S and Ginwal, HS (2019) Genetic diversity and structure of Dendrocalamus hamiltonii natural metapopulation: a commercially important bamboo species of northeast Himalayas. 3 Biotech 9, 60.CrossRefGoogle ScholarPubMed
Meena, RK, Negi, N, Uniyal, N, Bhandari, MS, Sharma, R and Ginwal, HS (2021) Genome skimming based STMS marker discovery and its validation in temperate hill bamboo, Drepanostachyum falcatum. Journal of Genetics 100, 28.CrossRefGoogle ScholarPubMed
Meena, RK, Negi, N, Shankhwar, R, Bhandari, MS, Kant, R, Pandey, S, Kumar, N, Sharma, R and Ginwal, HS (2023) Ecological niche modeling and population genetic analysis of Indian temperate bamboo Drepanostachyum falcatum in the western Himalayas. Journal of Plant Research 136, 483499.10.1007/s10265-023-01465-5CrossRefGoogle ScholarPubMed
Nag, A, Gupta, P, Sharma, V, Sood, A, Ahuja, SP and Sharma, KR (2013) AFLP and RAPD based genetic diversity assessment of industrially important reed bamboo (Ochlandra travancorica Benth). Journal of Plant Biochemistry and Biotechnology 22, 144149.CrossRefGoogle Scholar
Nilkanta, H, Amom, T, Tikendra, L, Rahaman, H and Nongdam, P (2017) ISSR marker-based population genetic study of Melocanna baccifera (Roxb.) Kurz: a commercially important bamboo of Manipur, North-East India. Scientifica 2017, 19.10.1155/2017/3757238CrossRefGoogle Scholar
Nybom, H and Bartish, IV (2000) Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspectives in Plant Ecology Evolution and Systematics 3, 93114.CrossRefGoogle Scholar
Osmaston, AE (1922) Notes on the Forest Communities of the Garhwal Himalaya. Journal of Ecology 10, 129.10.2307/2255737CrossRefGoogle Scholar
Oumer, OA, Dagne, K, Feyissa, T, Tesfaye, K, Durai, J and Hyder, MZ (2020) Genetic diversity, population structure, and gene flow analysis of lowland bamboo [Oxytenanthera abyssinica (A. Rich.) Munro] in Ethiopia. Ecology and Evolution 10, 1121711236.10.1002/ece3.6762CrossRefGoogle ScholarPubMed
Peakall, R and Smouse, PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetics software for teaching and research-an update. Bioinformatics (Oxford, England) 28, 25372539.Google ScholarPubMed
Pérez-Alquicira, J, Aguilera-López, S, Rico, Y and Ruiz-Sanchez, E (2021) A population genetics study of three native Mexican woody bamboo species of Guadua (Poaceae: Bambusoideae: Bambuseae: Guaduinae) using nuclear microsatellite markers. Botanical Sciences 99, 542559.CrossRefGoogle Scholar
Pfeiffer, T, Roschanski, AM, Pannell, JR, Korbecka, G and Schnittler, M (2011) Characterization of microsatellite loci and reliable genotyping in a polyploid plant, Mercurialis perennis (Euphorbiaceae). Journal of Heredity 102, 479488.CrossRefGoogle Scholar
Phillips, SJ, Miroslav, D and Schapire, RE (2004) Maxent Software for Species Distribution Modeling. Available at http://cs.princeton.edu/~schapire/Maxent/ 10.1145/1015330.1015412CrossRefGoogle Scholar
Phillips, SJ, Anderson, RP and Schapire, RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modeling 190, 231259.CrossRefGoogle Scholar
Pimm, SL, Russell, GJ, Gittleman, JL and Brooks, TM (1995) The future of biodiversity. Science (New York, N.Y.) 269, 347530.CrossRefGoogle ScholarPubMed
Porth, I and El-Kassaby, YA (2014) Assessment of the genetic diversity in forest tree populations using molecular markers. Diversity 6, 283295.CrossRefGoogle Scholar
Pritchard, JK, Stephens, M and Donnelly, P (2000) Inference of population structure using multilocus genotype data. Genetics 155, 945959.10.1093/genetics/155.2.945CrossRefGoogle ScholarPubMed
Ramanatha Rao, V and Hodgkin, T (2002) Genetic diversity and conservation and utilization of plant genetic resources. Plant Cell, Tissue and Organ Culture 68, 119.CrossRefGoogle Scholar
Rather, MM (2015) In-vitro propagation of Chimonobambusa jaunsarensis (Gamble) Bahadur & Naithani and exploring options for economizing the technology (PhD thesis). Forest Research Institute Deemed to be University.Google Scholar
Rocchini, D, Hortal, J, Lengyel, S, Lobo, JM, Jimenez-Valverde, A, Ricotta, C, Bacaro, G and Chiarucci, A (2011) Accounting for uncertainty when mapping species distributions: the need for maps of ignorance. Progress in Physical Geography 35, 211226.CrossRefGoogle Scholar
Shi, P, Preisler, HK, Quinn, BK, Zhao, J, Huang, W, R€oll, A, Cheng, X, Li, H and H€olscher, D (2020) Precipitation is the most crucial factor determining the distribution of moso bamboo in Mainland China. Global Ecology and Conservation 22, e00924.10.1016/j.gecco.2020.e00924CrossRefGoogle Scholar
Swets, JA (1988) Measuring the accuracy of diagnostic systems. Science (New York, N.Y.) 240, 12851293.CrossRefGoogle ScholarPubMed
Takezaki, N, Nei, M and Tamura, K (2009) POPTREE2: software for constructing population trees from allele frequency data and computing other population statistics with windows interface. Molecular Biology and Evolution 27, 747752.10.1093/molbev/msp312CrossRefGoogle ScholarPubMed
Tewari, DN (1992) A Monograph on Bamboos. Dehradun: International Book Distributors.Google Scholar
Thuiller, W, Richardson, DM, Pyšek, P, Midgley, GF, Hughes, GO and Rouget, M (2005) Niche-based modeling as a tool for predicting the risk of alien plant invasions at a global scale. Global Change Biology 11, 234250.CrossRefGoogle ScholarPubMed
Varshney, RK, Graner, A and Sorrells, ME (2005) Genic microsatellite markers in plants: features and applications. Trends in Biotechnology 23, 4855.CrossRefGoogle ScholarPubMed
Xie, N, Chen, LN, Dong, YR and Yang, HQ (2019) Mixed mating system and variable mating patterns in tropical woody bamboos. BMC Plant Biology 19, 418.10.1186/s12870-019-2024-3CrossRefGoogle ScholarPubMed
Yang, HQ, An, MY, Gu, ZJ and Tian, B (2012) Genetic diversity and differentiation of Dendrocalamus membranaceus (Poaceae: Bambusoideae), a declining bamboo species in Yunnan, China, as based on inter-simple sequence repeat (ISSR) analysis. International Journal of Molecular Sciences 13, 44464457.CrossRefGoogle ScholarPubMed
Yang, XQ, Kushwaha, SPS, Saran, S, Xu, J and Roy, PS (2013) Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills. Ecological Engineering 51, 8387.CrossRefGoogle Scholar
Yang, JB, Dong, YR, Wong, KM, Gu, ZJ, Yang, HQ and Li, Z (2018) Genetic structure and differentiation in Dendrocalamus sinicus (Poaceae: Bambusoideae) populations provide insight into evolutionary history and speciation of woody bamboos. Scientific Reports 8, 16933.CrossRefGoogle ScholarPubMed
Ye, XY, Ma, PF, Yang, GQ, Guo, C, Zhang, YX, Chen, YM, Guo, ZH and Li, DZ (2019) Rapid diversification of alpine bamboos associated with the uplift of the Hengduan Mountains. Journal of Biogeography 46, 26782689.CrossRefGoogle Scholar
Yebeyen, D, Nemomissa, S, Hailu, BT, Zewdie, W, Sileshi, GW, Rodríguez, RL and Woldie, TM (2022) Modeling and mapping habitat suitability of highland bamboo under climate change in Ethiopia. Forests 13, 859.CrossRefGoogle Scholar
Young, N, Carter, L and Evangelista, P (2011) A MaxEnt Model v3.3.3e Tutorial (ArcGIS V. 10), Laboratory at Colorado State University and the National Institute of Invasive Species Science, pp. 130. Available at http://ibis.colostate.edu/webcontent/ws/coloradoview/tutorialsdownloads/a_maxent_model_v7.pdfGoogle Scholar
Zheng, X, Lin, S, Fu, H, Wan, Y and Ding, Y (2020) The bamboo flowering cycle sheds light on flowering diversity. Frontiers in Plant Science 11, 381.CrossRefGoogle ScholarPubMed
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