Expression of the Arabidopsis thaliana BBX32 gene in soybean increases grain yield.

PloS One
Sasha PreussMarie Petracek

Abstract

Crop yield is a highly complex quantitative trait. Historically, successful breeding for improved grain yield has led to crop plants with improved source capacity, altered plant architecture, and increased resistance to abiotic and biotic stresses. To date, transgenic approaches towards improving crop grain yield have primarily focused on protecting plants from herbicide, insects, or disease. In contrast, we have focused on identifying genes that, when expressed in soybean, improve the intrinsic ability of the plant to yield more. Through the large scale screening of candidate genes in transgenic soybean, we identified an Arabidopsis thaliana B-box domain gene (AtBBX32) that significantly increases soybean grain yield year after year in multiple transgenic events in multi-location field trials. In order to understand the underlying physiological changes that are associated with increased yield in transgenic soybean, we examined phenotypic differences in two AtBBX32-expressing lines and found increases in plant height and node, flower, pod, and seed number. We propose that these phenotypic changes are likely the result of changes in the timing of reproductive development in transgenic soybean that lead to the increased duration ...Continue Reading

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Citations

Jan 1, 2014·Trends in Plant Science·Polly Yingshan Hsu, Stacey L Harmer
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Nov 5, 2019·Proceedings of the National Academy of Sciences of the United States of America·Meina LiWei Wang
Apr 3, 2020·Journal of Integrative Plant Biology·Zhaoqing SongDongqing Xu
Dec 22, 2016·Proceedings of the National Academy of Sciences of the United States of America·Prateek TripathiSteve A Kay
May 1, 2021·International Journal of Molecular Sciences·Hazel Marie KuganAcga Cheng

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Datasets Mentioned

BETA
GSE30828
JN400384
JN400386
JN400381
JN400385
JN400382
JN400387
and
JN400383
JN400388

Methods Mentioned

BETA
transgenic

Software Mentioned

ClustalW
SAS
GIS
Partek
SAS®
Primer Express
MEGA
STAT
Excel

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