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Detection of QTL(quantitative trait loci) associated with wood density by evaluating genetic structure and linkage disequilibrium of teak 被引量:1
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作者 Vivek Vaishnav Shamim Akhtar Ansari 《Journal of Forestry Research》 SCIE CAS CSCD 2019年第6期2247-2258,共12页
To find the quantitative trait loci associated with wood density in teak(Tectona grandis L.f.), 21 co-dominant markers including 13 site specific recombinase and 8 EST-based co-dominant markers designed from lignin bi... To find the quantitative trait loci associated with wood density in teak(Tectona grandis L.f.), 21 co-dominant markers including 13 site specific recombinase and 8 EST-based co-dominant markers designed from lignin biosynthesis genes were applied to 174 teak plus tree clones at the National Germplasm Bank, Chandrapur,India. The germplasm bank exhibited 10.6% coefficient of variation for wood densities with 84.5 ± 31.3 genetic polymorphism(%). The highly panmictic set of genotypes(FST= 0.035 ± 0.004) harbored 96.47 ± 0.40 genetic variability(%). The average allelic frequency of the 21 codominant markers was 0.65 ± 0.11 with 12.9% pairs of loci in significant LD(p\0.05, R^2 values [ 0.1), confirming their suitability for a strong marker-trait association study. The marker CCoAMT-1 was significantly(p\0.01) associated with wood density showing stability by both GLM and MLM models and explained 4.3% of the phenotypic effect. The marker from the EST representing CCoAMT can be further developed for gene-assisted selection of elite genotypes of teak with greater wood density. Therefore, we believe that the report will help accelerate the genetic improvement and advance the breeding program of the species. 展开更多
关键词 Association mapping Expressed sequence tags(EST) General LINEAR model(GLM) Linkage disequilibrium(LD) Lignin Mixed LINEAR model(MLM) Principal co-ordinate analysis(pcoa)
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Blood group genetics with special reference to the tribe’s health of Nagaland
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作者 Giridharan Bupesh Jogeswar Panigrahi +4 位作者 Rangasamy Nandakumar Razoukhrulu Nienu Renganathan Senthil Konda Mani Saravanan Kuldeep Singh Panwar 《LabMed Discovery》 2025年第2期7-14,共8页
India’s race,religion,and caste are quite diverse.Even within the same nation,regional variations exist in the ABO blood type and the Rh system.The current research examined the relationship between diseases and the ... India’s race,religion,and caste are quite diverse.Even within the same nation,regional variations exist in the ABO blood type and the Rh system.The current research examined the relationship between diseases and the ABO blood type among Nagaland’s Chakhesang ethnic communities.This research considered the population of sick people with ABO blood types.One hundred persons,including men and women from the Chakhesang tribe,served as research respondents.The Chakhesang Naga tribe was selected for this study because of the documented higher prevalence of hypertension and diabetes mellitus within this group compared to the broader regional population.The study also aimed to explore a possible association between these health conditions and blood type A.The ABD antisera typing Kit’s standard methodology was followed for blood group testing.S2 ABO software was used to compute the Hardy-Weinberg model,and the chi-square test was used to compare the results.In this research,we discovered that blood type A was more likely to develop hypertension and diabetes than blood types B and O(blood type A,X^(2)=16.3,P=0.00*;blood type B,X^(2)=18,P=0.00*;blood type O,X^(2)=0.085,P=0.87).This might imply that blood type A may be genetically predisposed to diabetes and hypertension more than other blood types.Our research shows that,compared to healthy individuals,the prevalence of hypertension and diabetes was much higher in the general population.The Chakhesang Naga tribe has the highest prevalence of blood type B,while those with blood type A are the most afflicted and sensitive to hypertension and diabetes.A key limitation of the study is that the findings are based on a specific population and may not be generalizable.Larger and more diverse cohorts are needed to evaluate their broader applicability. 展开更多
关键词 Blood type Tribal people Health science Ethnic community Principal coordinates analysis(pcoa) Red blood cell Congenital heart disease(CHD)
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