Exploration of soil bacterial diversity in organic and conventional agriculture fields in Sri Lanka

Записи данных

Данные этого sampling event ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 25 записей.

Также в наличии 1 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

Tissera B, Herath L (2023). Exploration of soil bacterial diversity in organic and conventional agriculture fields in Sri Lanka. Version 1.3. Sri Lanka Institute of Nanotechnology (SLINTEC). Samplingevent dataset. https://cloud.gbif.org/asia/resource?r=soil_bacterial_diversity_in_agroecosystems_in_sri_lanka&v=1.3

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является Sri Lanka Institute of Nanotechnology (SLINTEC). Насколько это возможно по закону, издатель отказался от всех прав на эти данные и посвятил их Public Domain (CC0 1.0). Пользователи могут без ограничений копировать, изменять, распространять и использовать работу, в том числе в коммерческих целях.

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 7e9d3bc6-bb85-42a5-8826-fe2b27552e2c.  Sri Lanka Institute of Nanotechnology (SLINTEC) отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Participant Node Managers Committee.

Ключевые слова

Sri Lanka; Agroecosystems; Soil biodiversity; eDNA; Sampling-event dataset

Контакты

Географический охват

Asia LK

Временной охват

Данные проекта

Soil is known to be the reservoir for a vast amount of microorganisms with a prokaryotic diversity that exceeds that of the known catalog of prokaryotes. Soil bacterial diversity is represented by the composition of bacteria and the abundance of its members and is a vital regulator of fundamental ecosystem processes, such as organic matter decomposition and nutrient cycling. Rhizosphere microbial communities play a central role in both plant growth and health and the depletion of soil microbial communities in agroecosystems is a significant course of soil fertility loss. This project aimed to explore the soil bacterial diversity of agroecosystems across the main agroecological zones of Sri Lanka and make it available to the scientific community. Metagenomic sequencing of the V4 region of the bacterial 16S rDNA gene was employed to explore the soil bacterial diversity within the collected samples. This dataset consists of 4,149 different occurrence records which have been georeferenced and classified to their species level. Here we present the first sampling-event dataset consisting of the taxonomy and geographic location of all recorded taxa offering a comprehensive insight into the soil bacterial populations across the diverse agroecosystems of Sri Lanka.

Исполнители проекта:

Методы сбора

Soil samples were collected from four different locations in each of the 25 agricultural fields belonging to the main agroecological zones of Sri Lanka. The soil samples were obtained by pushing a 50ml falcon tube to a depth of 20cm into the soil from the natural surface level. The samples were transported to the laboratory in ice boxes and were stored at -20°C until they were used for the extraction of DNA.

Описание этапа методики:

1. Soil samples were collected from four different locations in each agricultural field by pushing a 50ml falcon tube to a depth of 20cm into the soil from the natural surface level (Naveed et al., 2016; Wang et al., 2016). The samples were transported to the laboratory in ice boxes. The soil samples from the four different locations in each agricultural field were homogenized to form a composite soil sample, freeze-dried, ball-milled for 30 minutes with 15 metal beads, and passed through a 500μm sieve prior to DNA Extraction. The soil DNA was isolated from 500mg of soil using the HiPurA soil DNA Purification Kit according to the manufacturer’s instructions. DNA extraction was conducted on four 500mg soil samples from each field. The extracted DNA was electrophoresed in 1% agarose gel. The DNA was quantified and its purity was determined using the Spectradrop microplate reader (Yakovleva et al., 2017). The DNA samples that showed a high concentration and purity were pooled and stored at -20 °C until they were used for PCR amplification. The PCR amplification was performed as a two-step program. To amplify the V4 domain of bacterial 16S rDNA for sequencing, PCR amplification was performed using standard forward and reverse primer pair, F515 (GTG CCA GCM GCC GCG GTA A) and R806 (GGA CTA CVS GGG TAT CTA AT) (Zhang et al., 2019). This was the first step of PCR amplification. Next, 3 μL of the PCR product was used as the template for the second step which was performed with barcoded primers. The PCR mixture for both steps contained the Hi-Chrom master mix, forward primer (10X), reverse primer (10X), molecular grade distilled water, and 3μL DNA template in a final volume of 25μL. The amplifications were conducted in a heal force K960 thermal cycler using an initial DNA denaturation step of 94 °C for 1 min, followed by 28 cycles at 94 °C for 30 s, 50 °C for 30 s, 72 °C for 1 min, and a final elongation at 72 °C for 10 min. The PCR products were electrophoresed in 1% agarose gel. The PCR products from the second step were purified using the HiPurA PCR Product Purification Kit, quantified, and their purity was determined using the Spectradrop microplate reader. Finally, the PCR products were sequenced using high-throughput sequencing technology, and the sequence data were used to access the soil bacterial diversity.

Библиографические ссылки

1. Naveed, M., Herath, L., Moldrup, P., Arthur, E., Nicolaisen, M., Norgaard, T., Ferré, T.P.A., de Jonge, L.W., 2016. Spatial variability of microbial richness and diversity and relationships with soil organic carbon, texture and structure across an agricultural field. Applied Soil Ecology 103, 44–55. https://www.sciencedirect.com/science/article/abs/pii/S092913931630066X
2. Wang, Z., Liu, L., Chen, Q., Wen, X., Liao, Y., 2016. Conservation tillage increases soil bacterial diversity in the dryland of Northern China. Agronomy for Sustainable Development 36. https://link.springer.com/article/10.1007/s13593-016-0366-x
3. Yakovleva, A., Plieskatt, J., Jensen, S., Humeida, R., Lang, J., Li, G., Bracci, P., Silver, S. and Bethony, J. (2017) ‘Fit for genomic and proteomic purposes: Sampling the fitness of nucleic acid and protein derivatives from formalin fixed paraffin embedded tissue’ ,PLOS ONE, 12(7), p.e0181756 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0181756
4. Zhang, Z., Zhang, P., Lin, Q., Cha, Z., Luo, W., 2019. Response of bacterial communities in rubber plantations to different fertilizer treatments. 3 Biotech 9, 293. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609652/

Дополнительные метаданные