01928nas a2200241 4500008004100000022001400041245010600055210006900161260007400230300001200304490000800316520107400324653000901398653002201407653001501429653001301444100001601457700002401473700002401497700002001521700001801541856012701559 2010 eng d a0016-670700aUnderstanding the genetic structure of symplocos laurina wall. populations using nuclear gene markers0 aUnderstanding the genetic structure of symplocos laurina wall po aVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSbSPRINGERcFEB a197-2100 v1383 a

To characterize the genetic diversity of present populations of Symplocos laurina, which grow in the montane forests in India, we analyzed the DNA sequences of a nuclear gene. Using the 881 bp sequence of cytosolic Glyceraldehyde-3-phosphate dehydrogenase gene, we detected 24 haplotypes among 195 individuals sampled from 14 populations. Two dominant haplotypes were distributed over the entire range of this species in India and several private haplotypes were found. Low genetic diversity within population, high differentiation, number of population specific haplotypes and deviation from neutral evolution characterized the present populations of S. laurina. An analysis of molecular variance indicated the presence of geographic structure within the haplotype distribution. The occurrence of S. laurina preglaciation in India is the most parsimonious explanation for the current geographic structure observed. The populations are presumably ancient and might have spread across its extant distribution range in India through a recent range expansion event.

10aGapC10aGenetic diversity10aGlaciation10aRefugium1 aBanu, Sofia1 aBhagwat, Rasika, M.1 aKadoo, Narendra, Y.1 aLagu, Meena, D.1 aGupta, V., S. uhttps://library.ncl.res.in/content/understanding-genetic-structure-symplocos-laurina-wall-populations-using-nuclear-gene-002454nas a2200265 4500008004100000022001400041245010500055210006900160260007400229300001400303490000800317520151000325653002601835653002201861653000901883653001601892653002201908100002401930700001601954700002601970700002401996700002002020700002102040856012702061 2014 eng d a0378-269700aEvaluation of genetic variability in Symplocos laurina Wall. from two biodiversity hotspots of India0 aEvaluation of genetic variability in Symplocos laurina Wall from aSACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIAbSPRINGER WIENcDEC a2239-22470 v3003 a

Symplocos laurina Wall., an important medicinal tree species, is one of the pioneering plants for establishment of shola forest ecosystem. We analyzed 208 accessions of S. laurina from 13 populations belonging to three ecoregions in India namely, Western Ghats, Eastern Ghats and Northeast India, to comment on the genetic diversity and population structure of the species. Of the 100 inter simple sequence repeat primers screened, eight were selected based on their clear and reproducible polymorphic patterns. These eight ISSR primers produced on an average 1,014 bands from 208 accessions, of which 6.58 % were rare bands, 55.96 % were shared bands and 37.46 % were similar bands. The primers, UBC835 and UBC880, amplified the highest number of polymorphic loci (16), while the primer UBC852 amplified the least number of amplicons (9). The values for total genetic diversity (H-T) and the average heterozygosity (H-S) were 0.3407 and 0.2263, respectively; while the coefficient of genetic differentiation (G(ST)) was 0.3358. Within-population variance was higher (68 %) than among-population variance (17 %), indicating high intra-population genetic diversity. These populations were grouped according to their geographical location in cluster analysis. Mantel test also showed significant positive correlation between genetic and geographical distances. The present study revealed the importance of the Palghat gap in South India in shaping the distribution of genetic diversity in S. laurina.

10aBiodiversity hotspots10aGenetic diversity10aISSR10aPalghat gap10aSymplocos laurina1 aBhagwat, Rasika, M.1 aBanu, Sofia1 aDholakia, Bhushan, B.1 aKadoo, Narendra, Y.1 aLagu, Meena, D.1 aGupta, Vidya, S. uhttps://library.ncl.res.in/content/evaluation-genetic-variability-symplocos-laurina-wall-two-biodiversity-hotspots-india-000693nas a2200181 4500008004100000245011800041210006900159260000800228300001000236490000800246100001600254700002100270700002400291700001900315700002100334700002400355856013200379 2015 eng d00aAnalysis of genetic variability in Aquilaria malaccensis from Bramhaputra valley, Assam, India using ISSR markers0 aAnalysis of genetic variability in Aquilaria malaccensis from Br cNOV a24-320 v2171 aBanu, Sofia1 aBaruah, Darshana1 aBhagwat, Rasika, M.1 aSarkar, Purabi1 aBhowmick, Ananya1 aKadoo, Narendra, Y. uhttps://library.ncl.res.in/content/analysis-genetic-variability-aquilaria-malaccensis-bramhaputra-valley-assam-india-using-issr02376nas a2200193 4500008004100000022001400041245006500055210006500120260009100185300002900276490000700305520165500312100002401967700002601991700002402017700002102041700002102062856009902083 2015 eng d a1932-620300aTwo new potential barcodes to discriminate dalbergia species0 aTwo new potential barcodes to discriminate dalbergia species a1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USAbPUBLIC LIBRARY SCIENCEcNOV aArticle Number: e01429650 v103 a

DNA barcoding enables precise identification of species from analysis of unique DNA sequence of a target gene. The present study was undertaken to develop barcodes for different species of the genus Dalbergia, an economically important timber plant and is widely distributed in the tropics. Ten Dalbergia species selected from the Western Ghats of India were evaluated using three regions in the plastid genome (matK, rbcL, trnH-psbA), a nuclear transcribed spacer (nrITS) and their combinations, in order to discriminate them at species level. Five criteria: (i) inter and intraspecific distances, (ii) Neighbor Joining (NJ) trees, (iii) Best Match (BM) and Best Close Match (BCM), (iv) character based rank test and (v) Wilcoxon signed rank test were used for species discrimination. Among the evaluated loci, rbcL had the highest success rate for amplification and sequencing (97.6%), followed by matK (97.0%), trnH-psbA (94.7%) and nrITS (80.5%). The inter and intraspecific distances, along with Wilcoxon signed rank test, indicated a higher divergence for nrITS. The BM and BCM approaches revealed the highest rate of correct species identification (100%) with matK, matK+rbcL and matK+trnH-psb loci. These three loci, along with nrITS, were further supported by character based identification method. Considering the overall performance of these loci and their ranking with different approaches, we suggest matK and matK+rbcL as the most suitable barcodes to unambiguously differentiate Dalbergia species. These findings will potentially be helpful in delineating the various species of Dalbergia genus, as well as other related genera.

1 aBhagwat, Rasika, M.1 aDholakia, Bhushan, B.1 aKadoo, Narendra, Y.1 aBalasundaran, M.1 aGupta, Vidya, S. uhttps://library.ncl.res.in/content/two-new-potential-barcodes-discriminate-dalbergia-species-102890nas a2200265 4500008004100000022001400041245017300055210006900228260000800297300001000305490000800315520189700323100001902220700002902239700002402268700001902292700002802311700003102339700002702370700003402397700002102431700002602452700001702478856012902495 2018 eng d a0031-942200aGenetic and phytochemical investigations for understanding population variability of the medicinally important tree Saraca asoca to help develop conservation strategies0 aGenetic and phytochemical investigations for understanding popul cDEC a43-540 v1563 aSaraca asoca (Roxb.) De Wilde (Caesalpiniaceae) is a highly traded IUCN red listed tree species used in Ayurvedic medicines for the treatment of various disorders, especially gynaecological problems. However, information about the genetic variations between populations and corresponding variation in specialized metabolites of S. asoca remains unclear. To address this issue, we analysed 11 populations of S. asoca with 106 accessions collected from Western Ghats of India using ISSR markers along with selected phytocompounds using RP-HPLC. Twenty primers were screened, out of which seven were selected for further analysis based on generation of clear polymorphic banding patterns. These seven ISSR primers produced 74 polymorphic loci. AMOVA showed 43% genetic variation within populations and 57% among the populations of S. asoca. To estimate the genetic relationships among S. asoca populations, UPGMA and Bayesian Models were constructed, which revealed two clusters of similar grouping patterns. However, excluding minor deviations, UPGMA and dissimilarity analysis showed close association of genotypes according to their geographical locations. Catechin (CAT), epicatechin (EPI) and gallic acid (GA) were quantified from bark and leaf samples of corresponding genotypes collected from 106 accessions. ROC plots depicted the sensitivity and specificity of the concentrations of tested phytocompounds at various cut-off points. Although, multiple logistic regression analysis predicted some association between few loci with GA, EPI and CAT, but PCA for phytochemical data failed to distinguish the populations. Overall, there were no significant trends observed to distinguish the populations based on these phytocompounds. Furthermore, the study advocates the delineate provenance regions of S. asoca genotypes/chemotype snapshots for in-situ conservation and ex-situ cultivation.1 aHegde, Satisha1 aPai, Sandeep, Ramchandra1 aBhagwat, Rasika, M.1 aSaini, Archana1 aRathore, Poonam, Kanwar1 aJalalpure, Sunil, Satyappa1 aHegde, Harsha, Vasudev1 aSugunan, Attayoor, Purushotta1 aGupta, Vidya, S.1 aKholkute, Sanjiva, D.1 aRoy, Subarna uhttps://library.ncl.res.in/content/genetic-and-phytochemical-investigations-understanding-population-variability-medicinally01928nas a2200253 4500008004100000245010700041210006900148260000800217300001100225490000700236520102400243100001901267700002901286700002401315700002001339700002801359700003101387700002701418700003401445700002101479700002601500700001701526856013101543 2019 eng d00aPopulation genetic and phytochemical dataset of Saraca asoca: a traditionally important medicinal tree0 aPopulation genetic and phytochemical dataset of Saraca asoca a t cAUG a1041730 v253 a

The data presented in this article is in support of the research paper “Genetic and phytochemical investigations for understanding population variability of the medicinally important tree Saraca asoca to help develop conservation strategies” Hegde et al., 2018. This article provides PCR based Inter-Simple Sequence Repeat (ISSR) and HPLC datasets of 106 individual samples of Saraca asoca collected from various geographical ranges of the Western Ghats of India. The ISSR data includes information on genetic diversity and images of population structures generated through amplified DNA products from samples of Saraca asoca leaf. Phytochemical data obtained from HPLC includes concentration (mg/g) of gallic acid (GA), catechin (CAT), and epicatechin (EPI). The data also presents information obtained from various statistical analysis viz. standard error of the mean values, distribution variables, prediction accuracy, and multiple logistic regression analysis.

1 aHegde, Satisha1 aPai, Sandeep, Ramchandra1 aBhagwat, Rasika, M.1 aSainia, Archana1 aRathore, Poonam, Kanwar1 aJalalpure, Sunil, Satyappa1 aHegde, Harsha, Vasudev1 aSugunan, Attayoor, Purushotta1 aGupta, Vidya, S.1 aKholkute, Sanjiva, D.1 aRoy, Subarna uhttps://library.ncl.res.in/content/population-genetic-and-phytochemical-dataset-saraca-asoca-traditionally-important-medicinal