हमारा समूह 1000 से अधिक वैज्ञानिक सोसायटी के सहयोग से हर साल संयुक्त राज्य अमेरिका, यूरोप और एशिया में 3000+ वैश्विक सम्मेलन श्रृंखला कार्यक्रम आयोजित करता है और 700+ ओपन एक्सेस जर्नल प्रकाशित करता है जिसमें 50000 से अधिक प्रतिष्ठित व्यक्तित्व, प्रतिष्ठित वैज्ञानिक संपादकीय बोर्ड के सदस्यों के रूप में शामिल होते हैं।
ओपन एक्सेस जर्नल्स को अधिक पाठक और उद्धरण मिल रहे हैं
700 जर्नल और 15,000,000 पाठक प्रत्येक जर्नल को 25,000+ पाठक मिल रहे हैं
Natasha Devris
We present the first national DNA barcode resource for Wales that includes native conifers and blooming plants (1143 species). We have assembled 97.7% coverage for rbcL, 90.2% coverage for matK, and a dual-locus barcode for 89.7% of the native Welsh flora using the plant DNA barcode markers rbcL and matK. For each species, weM sampled several individuals, yielding 3304 rbcL and 2419 matK sequences. 85% of our samples come from DNA that was taken from herbarium specimens. Herbarium specimens exhibit lower DNA barcode recoverability than recently obtained material, mostly because of lower amplification success. However, this is offset by the greater sampling effectiveness of species that have already been gathered, identified, and certified by taxonomists. Four methods are used to evaluate the usefulness of DNA barcodes for identification (degree of discrimination), including pairwise and multiple alignments, Neighbour-Joining trees, sequence similarity in BLASTn searches, and the presence of a barcode gap [1]. These methods produce comparable outcomes, with relative discrimination values of 98.6 to 99.8% of genera and 69.4 to 74.9% of all species utilising both markers. Spatially explicit sampling can further enhance species discrimination. Within 1010 km squares, the mean species discrimination using barcode gap analysis (with a multiple alignment) is 81.6%, and within 22 km squares, it is 93.3%. Our library of DNA barcodes for native Welsh conifers and flowering plants gives the most thorough coverage of any national flora and provides a useful framework for a variety of applications that call for precise species identification.