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Proceedings of International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals : Policy and Practice 27-29 June 2016 at the Sirindhorn International Environmental Park, Cha-am, Phetchaburi, Thailand

DNA  analysis  will  remain  the  most  effective  tool  for  identification  because  phytochemical  content  will  vary  with  the  plant  parts  used,  physiological  status  and  environmental  conditions.  The  medicinal  effectiveness  of  the  plant  species  is  related  to  the  quantity  of  that  compound  in  question;  hence  the  species,  strain and  geographical  origin  can  be  distinguished  using  chemical  fingerprinting.  The  HPLC  estimation  carried  out  by  us  showed  considerable  phytochemical  variation  in  the  genotypes  of  Gloriosa  superba.  The  phytochemical  diversity  measured  as  quantitative  difference  in  the  accumulated  colchicine  ranged  from  0.192  to  1.312  (mg/g  dw).  The  concentration  of  colchicine  in  different  populations  of  this  plant  varied  with  geographical  conditions.  The  variation  may  be  largely  due  to  interplay  of  environmental  conditions  and  genetic  variation.  The  diversity  of  chemotypes  linked  to  geographical  distances could  explain  the  low  level  of  gene  flow  among  populations  as  a  result  of  the  level  of  seed  and  pollen  migration  expected  to  be  low  among  populations. Different  types  of  molecular  markers  have  been  used  to  ascertain  DNA  polymorphism  is  considered  as  a  one  of  the  most  efficient  molecular  methods  in  terms  of  ability  to  produce  abundant  polymorphic  markers  within  a  short  time  and  limited  budget,  the  RAPD-  DNA,  a  PCR  based  technique  is  a  simple  and  cost-effective  tool  for  analysis  of  plant  genome.  It  is  technically  least  demanding  and  offers  a  fast  method  for  providing  information  from  a  large  number  of  loci.  RAPD  has  become  widely  used  in  various  areas  of  plant  research  and  it  has  proved  to  be  a  valuable  tool  in  studying  inter  and  intraspecific  genetic  variation,  patterns  of  gene  expression,  and  identification  of  specific  genes  using  nearly  isogenic  variants 19.  More  recently,  RAPD  has  been  used  for  estimation  of  genetic  diversity  in  Withania  somnifera  20  collected  from  different  geographical  regions. Systematic  morphological  characterization  of  Gloriosa  germplasm  is  of  great  significance  for  future  programs  on  quality  enhancement  of  the  crop.  The  present  study  aimed  at  identification  of  elite  collections  of  populations and  their  spatial  distribution  in  the  study  area  linking  the  phenotypic  variability  with  the  chemical  relatedness  of  populations  based  on  alkaloid  Colchicine  content. In  this  study  ten  populations  from  different  regions  of  the  study  area  grown  at  a  single  location  were  subjected  to  same  environmental  conditions.  Therefore  observed  variations  could  be  largely  genetic.  Present  studies  are  in  conformity  with  the  earlier  workers  like  Arunkumar  et.  al.  21  indicating  no  significant  correlation  between  environment  (edaphic  factors)  and  morphological  charactersor  with  alkaloid  content  confirming  t h a t  phytochemical  variations  are  by  and  large  gene related. It  has  been  claimed  that  molecular  data are  superior  to  morphological  characters  because  they  are more  numerous  and  easier  to  define  as  they  are  linear  rather  than  multi- dimensional.  Nevertheless  this  premise  has  not  been  fulfilled  in  majority  of  events  22.  In  this  study  there  is  no  correlation  between  the  geographical  distance  among  populations  of  Gloriosa  superba  and  genetic  diversity.  The  UPGMA  dendrogram  in  the  present  study  showed  that  some  populations  from  different  regions  of  the  study  area  were  located  in  the  same  cluster.  The  lack  of  such  correlation  could  be  partially  explained  by  a  possible  adaptive  RAPD  ecogeographical  differentiation  associated  with  habitat  fragmentation  23.  However  RAPD  markers  are  dominant  and  thus  are  less  suitable  for  linkage  analysis  than  co-dominant  markers.  This  advantage  could  be  overcome  by  using  several  statistical  methods  such  as  analysis  of  molecular  variance 24.Our  RAPD  based  AMOVA  studies  show  that  most  genetic  variation  in  Gloriosa  superba  distributed  within  population  rather  than  between  them,  indicating  a  relatively  restricted  population  Proceedings  of  the  International  Conference  on  Climate  Change,  Biodiversity  and  Ecosystem  Services  for  the 67 Sustainable  Development  Goals  (SDGs):  Policy  and  Practice  27-29  June  2016,  Cha-am,  Phetchaburi,  Thailand


Proceedings of International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals : Policy and Practice 27-29 June 2016 at the Sirindhorn International Environmental Park, Cha-am, Phetchaburi, Thailand
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