Data/hora: 24/06/2024 01:07:08

Biblioteca(s): 	Embrapa Semiárido.	
Data corrente: 	19/12/2022	
Data da última atualização: 	19/12/2022	
Autoria: 	OSBORNE, O. G.; DOBREVA, M. P.; PAPADOPULOS, A. S. T.; MOURA, M. S. B. de; BRUNELLO, A. T.; QUEIROZ, L. P. de; PENNINGTON, R. T.; LLOYD, J.; SAVOLAINEN, V.	
Afiliação: 	OWEN G. OSBORNE, Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London; MARIYA P. DOBREVA, Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London; ALEXANDER S. T. PAPADOPULOS, Molecular Ecology and Evolution Bangor, School of Natural Sciences, Bangor University, Environment Centre Wales; MAGNA SOELMA BESERRA DE MOURA, CPATSA; ALEXANDRE T. BRUNELLO, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo; LUCIANO P. DE QUEIROZ, Universidade Estadual de Feira de Santana; R. TOBY PENNINGTON, Geography, University of Exeter, Amory Building; JON LLOYD, School of Biological Sciences, The University of Western Australia; VINCENT SAVOLAINEN, Royal Botanic Gardens.	
Título: 	Mapping the root systems of individual trees in a natural community using genotyping-by-sequencing	
Ano de publicação: 	2022	
Fonte/Imprenta: 	New Phytologist, Nov. 2022.	
DOI: 	https://doi.org/10.1111/nph.18645	
Idioma: 	Inglês	
Notas: 	On-line.	
Conteúdo: 	The architecture of root systems is an important driver of plant fitness, competition and ecosystem processes. However, the methodological difficulty of mapping roots hampers the study of these processes. Existing approaches to match individual plants to belowground samples are low-throughput and species-specific. Here, we developed a scalable sequencing-based method to map the root systes of individual trees across multiple species. We successfully applied it to a tropical dry forest community in the Brazilian Caatinga containing 14 species We sequenced all 42 individual shrubs and trees in a 14 by 14 m plot using double-digest restriction-site associated sequencing (ddRADseq). We identified species-specific markers and individual-specific haplotypes from the data. We matched these markers to ddRADseq data from 100 mixed root samples from across the centre (10 by 10 m) of the plot at four different depths, using a newly developed R package We identified individual root samples for all species and all but one individual. There was a strong significant correlation between below and aboveground size measurements, and we also detected significant species-level root-depth preference for two species.? The method is more scalable and less labour-intensive than current techniques, and is broadly applicable to ecology, forestry and agricultural biology.	
Palavras-Chave: 	Comunidade tropical; DdRADseq; Distribuição de densidade de raízes individuais; Genotipagem; Mapeamento dos sistemas radiculares.	
Thesagro: 	Árvore Florestal; Caatinga; Ecologia Vegetal; Floresta Tropical.	
Thesaurus Nal: 	Plant ecology; Tropical forests.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/244008/1/Mapping-the-root-systems-of-individual-trees-in-a-natural-community-using-genotyping-2022.pdf	
Registro original: 	Embrapa Semiárido (CPATSA)	
Exemplares: 	CPATSA - (60231-1) - UPC - AP - DD -  -  -  - DIS