Evidence map›Paper›PMID 32167667›Full record

ArticlePlant biotechnology journal2020

Arachis hypogaea gene expression atlas for fastigiata subspecies of cultivated groundnut to accelerate functional and translational genomics applications.

Pallavi Sinha, Prasad Bajaj, Lekha T Pazhamala, Spurthi N Nayak, Manish K Pandey, Annapurna Chitikineni, Dongxin Huai, Aamir W Khan, Aarthi Desai, Huifang Jiang and 4 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Pallavi Sinha *Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Prasad Bajaj *Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Lekha T PazhamalaCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Spurthi N NayakCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Manish K PandeyCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID 0000-0002-4101-6530
Annapurna ChitikineniCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Dongxin HuaiOil Crop Research Institute (OCRI), Chinese Academy of Agricultural Science (CAAS), Wuhan, China.
Aamir W KhanCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID 0000-0001-9734-8123
Aarthi DesaiCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Huifang JiangOil Crop Research Institute (OCRI), Chinese Academy of Agricultural Science (CAAS), Wuhan, China.ORCID 0000-0003-4087-205X
Weijian ZhuangCollege of Plant Protection, Fujian Agriculture and Forestry University (FAFU), Fuzhou, China.
Baozhu GuoUSDA-ARS Crop Protection and Management Research Unit (CPMRU), Tifton, GA, USA.ORCID 0000-0002-9079-7126
Boshou LiaoOil Crop Research Institute (OCRI), Chinese Academy of Agricultural Science (CAAS), Wuhan, China.
Rajeev K VarshneyCenter of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID 0000-0002-4562-9131

Funding

Bill & Melinda Gates Foundation OPP1114827
6 · The paper itself

Abstract

Spatio-temporal and developmental stage-specific transcriptome analysis plays a crucial role in systems biology-based improvement of any species. In this context, we report here the Arachis hypogaea gene expression atlas (AhGEA) for the world's widest cultivated subsp. fastigiata based on RNA-seq data using 20 diverse tissues across five key developmental stages. Approximately 480 million paired-end filtered reads were generated followed by identification of 81 901 transcripts from an early-maturing, high-yielding, drought-tolerant groundnut variety, ICGV 91114. Further, 57 344 genome-wide transcripts were identified with ≥1 FPKM across different tissues and stages. Our in-depth analysis of the global transcriptome sheds light into complex regulatory networks namely gravitropism and photomorphogenesis, seed development, allergens and oil biosynthesis in groundnut. Importantly, interesting insights into molecular basis of seed development and nodulation have immense potential for translational genomics research. We have also identified a set of stable expressing transcripts across the selected tissues, which could be utilized as internal controls in groundnut functional genomics studies. The AhGEA revealed potential transcripts associated with allergens, which upon appropriate validation could be deployed in the coming years to develop consumer-friendly groundnut varieties. Taken together, the AhGEA touches upon various important and key features of cultivated groundnut and provides a reference for further functional, comparative and translational genomics research for various economically important traits.

Indexed as

ArachisFabaceaeGenomicsPhenotypeSeedsallergensArachis hypogaeagene expression atlasgravitropismoil biosynthesisphotomorphogenesis

Identifiers

PMID32167667
PMCPMC7589347

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.