A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Assessment of bacterial communities of black soybean grown in fields. | LitMetric

Assessment of bacterial communities of black soybean grown in fields.

Commun Integr Biol

Research Institute for Sustainable Humanosphere, Kyoto University, Gokasho, Uji, Japan.

Published: October 2017

Since the domestication of soybean () about 4,500 years ago, thousands of local cultivars have been developed around the world. In Japan, black soybeans grown in the mountainous region of central Kyoto and Hyogo prefectures, called the Tamba region, are well known for large seeds and palatability. The yields of black soybean in the Tamba region of Kyoto have decreased during the past few decades, and the involvement of rhizosphere microbes in the yield decline has been suggested. We analyzed bacterial communities of the soybean rhizosphere on 7 farms managed under different strategies. Non-metric multidimensional scaling showed shifts of bacterial communities from bulk to rhizosphere soil and the difference among the farms. The relative abundance of the Proteobacteria and Firmicutes was higher in rhizosphere soil than in bulk soil, whereas that of the Acidobacteria was higher in bulk soil. To clarify the possible relationship between bacterial communities and soybean growth, we used ConfeitoGUIplus software (version 1.2.0), based on the Confeito algorithm, which is designed to detect highly interconnected modules in a correlation network by using a unique inter-modular index with network density. One module was extracted from the rhizosphere soil community and two from bulk soil communities, suggesting the involvement of these bacteria in soybean growth.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731515PMC
http://dx.doi.org/10.1080/19420889.2017.1378290DOI Listing

Publication Analysis

Top Keywords

bacterial communities
16
rhizosphere soil
12
bulk soil
12
black soybean
8
tamba region
8
communities soybean
8
soybean growth
8
soybean
6
soil
6
communities
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!