Genetic Studies in a Tropical Pine - Pinus Kesiya II
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Journal of Tropical Forest Science 3 (4): 308- 317 308 PINUS - E PIN L TROPICA A N I S STUDIE C GENETI R FOU G AMON N VARIATIO C GENETI . II KESIYA POPULATIONS IN NORTHERN THAILAND T.J.B. Boyle, C. Liengsiri & C. Piewluang ASEAN-Canada Forest Tree Seed Centre, Muak Lek, Saraburi 18180, Thailand Received March 1990___________________________________________________ BOYLE, T.J.B., LIENGSIRI, C. & PIEWLUANG, C. 1991. Genetic studies in a tropical pine - Pinus kesiya II. Genetic variation among four populations in Northern Thailand. The genetic diversity and population structure of four populations of Pinus kesiya from Northern Thailand were investigated by means of isoenzyme analysis. Expected heterozygosities were similar to those obtained for other tropical tree species. Estimates of population differentiation by means of G-statistics indicated comparable levels of differentiation with other conifers and somewhat lower levels than other tropical tree species. Genetic distances indicated that one population in particular (Samoeng) was the main contributor to population differentiation. Key words: Pinus kesiya - isozymes - genetic variation - genetic differentiation - F-statistics - genetic distance Introduction The organisation of genetic variation within a species is of critical importance for effecient management of the resource. For example, in devising an optimum sampling strategy for genetic conservation, it is highly benefical to obtain estimates of the amount and distribution of genetic variation among populations (Marshall & Brown 1975). Sampling of genetically similar popula- tion then limitee ca snb highld dan y variable populatio samplee b n nca d more intensively. Similarly, genetic improvement involves sampling of the natural resource and in order to maximize the rate of improvement, the same information concerning the distribution of genetic variation is required (Guries & Ledig 1977). Clearly, such investigations should be completed before management of the resource begins. Since this is seldom possible, it is important to develop flexible programmes that can incorporate subsequent genetic information. The arrangement of genetic variation among populations has been termed 'population structure', and the use of biochemical techniques such as isoenzyme analysis has greatly facilitated its investigation. This is due to co-dominant expression of isoenzymes and the large number of loci that can be simultaneously assayed (Lewontin 1974). The relationship between isoenzymes and commercially important traits is usually weak, and morphological traits typically exhibit greater levels of variation among population (Boyle & Yeh Journal of Tropical Forest Science 3(4): 308- 317 309 t tha d demonstrate e hav s studie e som , However . loci e isozym o d n tha ) 1988 the same intrinsic pattern can be detected in both morphological and biochemical traits (Wheeler & Guries 1982). Pinus kesiya has been widely planted in tropical Africa, especially in Madagascar and Zambia (Armitage 1980). Substantial areas of plantations e hav s programme g plantin d an , Philippines e th n i d establishe n bee o als e hav e th ) (1986 a Pousujj y b d note s A . 1980) e (Armitag d Thailan n i d initiate n bee n i t resul o t d expecte e b d woul kesiya P. f o e rang l natura s discontinuou t bu e wid s it n i n variatio l altitudina e th , addition n I . differences e provenanc e larg distribution would be expected to result in genetic differentiation (Burley & Amitage 1980). Indeed substantial variation in growth and morphology from & y (Burle d documente l wel s i s countrie f o y variet e wid a n i d plante s tree g Ton y testatHua e provenanc a m fro s result 5-y , example r Fo . 1980) e Armitag t heigh n i e differenc l substantia d demonstrate d Thailan , Mai g Chian n i s source l loca e th f o l Severa . 1978) f (Granho s provenance 8 1 e th g amon h growt ; differences e provenanc f o k lac a e indicat s test e Som . best e th g amon d ranke for example, Das and Stephan (1986) reported that 11 -y results from a trial of m Assa d an a Zambi , Vietnam , Thailand , Philippines e th m fro s provenance 2 1 r eithe r fo s provenance g amon s difference t significan o n d reveale , India n i . growth r diamete r o t heigh - popula r fou f o y diversit c geneti d an e structur n populatio e th , study r ou n I tions of P. kesiya from Northern Thailand were investigated by means of isoenzyme analysis. Material and methods Open-pollinated seeds from 38 individuals, representing four populations t Fores l Roya e th f o k ban d see e th y b d provide e wer , 1) e Figur , 1 e (Tabl Department Pine Improvement Centre, Huay Kaew Arboretum, Chiang Mai, Thailand. The small sizes were limited by seed availability in the seed bank. o t d use e wer e tissu c megagametophyti d haploi d an s embryo g Germinatin d describe s a , loci 8 1 g representin , systems e enzym n te t a s genotype e determin i loc e Th . (1990) al. el i Liengsir f o d metho e th g usin d an ) (1990 al. et e Boyl y b analyzed were aspartate aminotransferase (AAT), glucose-6-phosphate dehydro- genase (G6P), isocitrate dehydrogenase (IDH), leucine aminopeptidase-2 (LAP- - de e 6-phosphoglutamat , MR-2) d an 1 (MR- 2 - d an 1 reductase- e menadion , 2) - iso e 6PG-3),phosphoglucos d an , 6PG-2 , (6PG-1 3 - d an , hydrogenase-1,-2 d aci c shikimi , (PGM) e phosphoglucomutas , PGI-2) d an 1 (PGI- 2 and- 1 merase- dehydrogenase-1 and -2 (SDH-1 and SDH -2), and malate dehydrogenase- 1, -2, -3 and -4 (MDH-1, MDH-2, MDH-3 and MDH-4). For the analyses of genetic diversity, both maternal and progeny allele t no d di s embryo e th , loci H MD r fou l al t a , However . used e wer s frequencie stain sufficiently to allow scoring and data for the progeny are based on only 14 loci. Journal of Tropical Forest Science 3(4): 308- 317 Table 1. Location data of the four populations from which the parent trees were sampled Name Latitude ("N) Longitude ("E) Elevatios n (m)tree f o r Numbe Samoeng 19"00' 98"45' 1,100 4 ' 18"35 g Ton y Hua 98"10' 1,200 8 Nong Krating 17''56' 98" 17' 1,080 10 WatChan 19°05' 98"18' 900 16 s population d sample r fou f o n locatio e th g showin d Thailan f o p Ma . 1 e Figur Journal of Tropical Forest Science3 (4): 308- 317 311 r fo , and ) 1990 al. et e (Boyl d linke y strongl e ar 2 6PG- d an 1 6PG- i loc o tw e Th t independen f o n assumptio n a g requirin n differentiatio n populatio f o s analyse inheritance, only one of these loci (6PG-2) was used. used y frequentl e ar y diversit c geneti g quantifyin f o s method l Severa These include the proportion of polymorphic loci (loci for which the frequency of the most common allele is < 95%), percentage of heterozygous loci per e ar s statistic e thes f o l Al . locus r pe s allele f o r numbe e averag d an , individual self-descriptive. In addition, observed and expected heterozygosities (Nei 1975) and the effective number of alleles per locus (Crow & Kimura 1970) were : as d define s i y heterozygosit d expecte e Th . calculated where P. is the frequency of the i allele. The average heterozygosity per th population (he) is then the arithmetic mean of expected heterozygosities over all loci. The effective number of alleles per locus is calculated in a similar fashion n = I/ P2 ' 1 = 1 e t (Lundkvis s mean c geometri e th s a d calculate e ar s average n populatio t bu 1979). l severa y b d characterise n bee y frequentl o als s ha n differentiatio c Geneti different methods. Two of the most common approaches have been the G- s variou d an , F-statistics ) (1965 s Wright' f o n adaptatio n a , (1975) i Ne f o s statistic measures of genetic distance, such as that proposed by Nei (1972). Results using both G-statistics and Nei's genetic distance (D) are presented here. Sampling variances of D were derived by Nei and Roychoundhury (1974). Both e th m fro s gene f o e sampl m rando a f o n assumptio e th e requir s method populations. Therefore, only maternal allele frequencies can be used, because . correlated y clearl e ar s parent e th m fro s genotype Results - monomor e wer s embryo e th r fo d score e b d coul h whic i loc 4 1 e th f o e Thre e th , frequencies e allel l materna e th r Fo . 2) e (Tabl s population l al r ove c phi f o e on , addition n i , and s population l al r ove c monomorphi e wer i loc e thre e sam s wa e ther , case y ever t almos n I . monomorphic s wa ) (MDH-2 i loc H MD r fou e th close agreement between maternal and progeny allele frequencies. The only exceptions to this occurred for the Samoeng population, where the small - mater f o s deviation e som n i d resulte ) trees r (fou e sampl n populatio l materna nal allele frequencies from the progeny estimates.